text:
SUMMARY = "Daemon to balance interrupts for SMP systems"
HOMEPAGE = "https://github.com/Irqbalance/irqbalance"
LICENSE = "GPLv2"
LIC_FILES_CHKSUM = "file://COPYING;md5=94d55d512a9ba36caa9b7df079bae19f"
SRCREV = "06089621e813f06d9ef33d680324654141f43088"
PV = "1.0.7+git${SRCPV}"

SRC_URI = "git://github.com/Irqbalance/irqbalance"

S = "${WORKDIR}/git"

inherit autotools

PACKAGECONFIG ??= "glib"
PACKAGECONFIG[glib] = "--with-glib2,--without-glib2,glib-2.0"
PACKAGECONFIG[cap] = "--with-libcap-ng,--without-libcap-ng,libcap-ng"

repository: opendreambox/opendreambox

repo_name: opendreambox/opendreambox

branch_name: refs/heads/pyro

gha_license_id: NOASSERTION

gha_language: BitBake

extension: bb


text:
require xorg-lib-common.inc
DESCRIPTION = "X11 damaged region extension library"
LICENSE = "BSD-X"
DEPENDS += "damageproto libxfixes"
PE = "1"
PR = "${INC_PR}.0"

SRC_URI[archive.md5sum] = "44774e1a065158b52f1a0da5100cebec"
SRC_URI[archive.sha256sum] = "bc6169c826d3cb17435ca84e1b479d65e4b51df1e48bbc3ec39a9cabf842c7a8"

XORG_PN = "libXdamage"

license: MIT

repository: overo/overo-oe-natty

license_type: permissive

repo_name: overo/overo-oe-natty

branch_name: HEAD


text:
@inproceedings{kishan2020icpr,
  author    = {KC, Kishan and Cui, Feng and Haake, Anne and Li, Rui},
  title     = {Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction},
  booktitle = {Proceedings of the 25th International Conference on Pattern Recognition, {ICPR}},
  year      = {2020}
}

branch_name: refs/heads/master

extension: bib


text:
@Book{test_key,
author = "Max Mustermann",
title = "Rare Book",
publisher = "Frequent book publisher",
year = 2020,
}

repository: perschi/Research-Journal

repo_name: perschi/Research-Journal

branch_name: refs/heads/main


text:
@inproceedings{hinton2011transforming,
  title={Transforming auto-encoders},
  author={Hinton, Geoffrey E and Krizhevsky, Alex and Wang, Sida D},
  booktitle={International conference on artificial neural networks},
  pages={44--51},
  year={2011},
  organization={Springer}
}

repository: Hugh-Shi/DL-NLP-Readings

path: /Bibtex/Transforming Auto-Encoders.bib

repo_name: Hugh-Shi/DL-NLP-Readings

gha_license_id: MIT

filename: Transforming Auto-Encoders.bib


text:
@inproceedings{yska2018genetic,
 author = {Yska, Daniel and Mei, Yi and Zhang, Mengjie},
 booktitle = {Proceedings of the European Conference on Genetic Programming},
 doi = {10.1007/978-3-319-77553-1_19},
 month = {apr},
 organization = {Springer},
 pages = {306--321},
 pdf = {papers/EuroGP18-Daniel.pdf},
 title = {Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling},
 year = {2018}
}


text:
@article{Mansoor-2018-The,
    title = "The spatial and temporal distribution of metals in an urban stream: A case study of the Don River in Toronto, Canada",
    author = "Mansoor, Sannan Zahid  and
      Louie, Sana  and
      Lima, Ana T.  and
      Van Cappellen, Philippe  and
      MacVicar, Bruce",
    journal = "Journal of Great Lakes Research, Volume 44, Issue 6",
    volume = "44",
    number = "6",
    year = "2018",
    publisher = "Elsevier BV",
    url = "https://aclanthology.org/G18-77001",
    doi = "10.1016/j.jglr.2018.08.010",
    pages = "1314--1326",
    abstract = "Abstract Widespread growth of cities, the association of trace metals with urban runoff, and the potentially deleterious effect of metals on aquatic ecology have made it important to understand the distribution and transport of metals through surface water channel networks. The Don River in Toronto, Canada has been identified as an Area of Concern for pollution to Lake Ontario, with historically high levels of metal contamination. Sampling programs are sparse, therefore a model is needed to understand the spatial and temporal variability of metals in the river network. The objectives of the current study are to: i) describe the sampled spatial and temporal variability of metals in the Don River and ii) develop a modelling strategy to describe within flood metal transport dynamics. A model setup tool is developed that links Storm Water Management Model (SWMM) with the Environmental Fluid Dynamics Code (EFDC) to allow a seamless transition from catchment hydrology to in-stream hydraulic and chemical processes. Results show that lead pollution in the Don River is decreasing, likely as a result of policy changes and sediment dredging in the mouth of the river. However, zinc and copper pollution are increasingly problematic, with copper exceeding recommended lower guidelines, particularly during floods. Model results confirm that most of the sediment and metals are transported in relatively short bursts within longer flood durations and are stored in depositional hotspots within the Lower Don River. A better monitoring strategy is needed to understand and more accurately parametrize these processes in an urban river system.",
}

repository: gwf-uwaterloo/gwf-publications

repo_name: gwf-uwaterloo/gwf-publications

gha_language: Python


text:
%% This BibTeX bibliography file was created using BibDesk.
%% http://bibdesk.sourceforge.net/

%% Created for Spencer Smith at 2016-10-27 23:57:04 -0400

%% Saved with string encoding Unicode (UTF-8)

@inproceedings{Parnas1978,
	Address = {Piscataway, NJ, USA},
	Author = {David L. Parnas},
	Booktitle = {ICSE '78: Proceedings of the 3rd international conference on Software engineering},
	Date-Added = {2016-10-28 03:56:16 +0000},
	Date-Modified = {2016-10-28 03:56:16 +0000},
	Isbn = {none},
	Location = {Atlanta, Georgia, United States},
	Pages = {264--277},
	Publisher = {IEEE Press},
	Title = {Designing Software for Ease of Extension and Contraction},
	Year = {1978}}

@article{Parnas1972a,
	Author = {David L. Parnas},
	Date-Added = {2016-10-28 03:55:43 +0000},
	Date-Modified = {2016-10-28 03:55:43 +0000},
	Journal = {Comm. ACM},
	Month = {December},
	Number = {2},
	Pages = {1053--1058},
	Title = {On the Criteria To Be Used in Decomposing Systems into Modules},
	Volume = {15},
	Year = {1972},
	Bdsk-File-1 = {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}}

@inproceedings{ParnasEtAl1984,
	Author = {D.L. Parnas and P.C. Clement and D. M. Weiss},
	Booktitle = {International Conference on Software Engineering},
	Date-Added = {2016-10-28 03:55:23 +0000},
	Date-Modified = {2016-10-28 03:55:23 +0000},
	Pages = {408-419},
	Title = {The modular structure of complex systems},
	Year = {1984},
	Bdsk-File-1 = {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}}

@book{RobertsonAndRobertson2012,
	Author = {James Robertson and Suzanne Robertson},
	Date-Added = {2016-09-22 13:54:40 +0000},
	Date-Modified = {2016-09-22 14:01:42 +0000},
	Edition = {16},
	Publisher = {Atlantic Systems Guild Limited},
	Title = {Volere Requirements Specification Template},
	Year = {2012}}

@article{ParnasAndClements1986,
	Author = {David L. Parnas and P.C. Clements},
	Date-Added = {2016-09-10 13:11:57 +0000},
	Date-Modified = {2016-09-10 13:11:57 +0000},
	Journal = {IEEE Transactions on Software Engineering},
	Number = {2},
	Pages = {251--257},
	Title = {A Rational Design Process: How and Why to Fake it},
	Volume = {12},
	Year = {February 1986},
	Bdsk-File-1 = {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}}

gha_language: JavaScript


text:
SUMMARY = "Smart OnOff System"
LICENSE = "CLOSED"

# Add missing RDEPENDS (should be implemented by npm class)
RDEPENDS_${PN} += "nodejs nodejs-npm"

SRC_URI = "http://dykim@192.168.0.88/smartonoff/production.git;protocol=http"

SRCREV = "7b44de07cdf2f08d94ee1f33a31699fc471004ca"
SRC_URI[md5sum] = "f3723dd6971d17b58df42cfd115b1718"

inherit npm

S = "${WORKDIR}/smartonoff"

repository: laurenka/pokyhigh

repo_name: laurenka/pokyhigh


text:
% Where to check JCR: http://jcr.fecyt.es/
% Where to check conferences: http://gii-grin-scie-rating.scie.es/

@inproceedings{Stiven-Zapata2019,
  author                = {Brayan Stiven Zapata{-}Impata and Alberto Garcia{-}Garcia and Sergio Orts{-}Escolano and Pablo Gil and Jos{\'{e}} Garc{\'{\i}}a Rodr{\'{\i}}guez},
  title                 = {{Tactile Graphs for Grasp Stability Prediction}},
  year                  = {2019},
  maintitle             = {International Conference on Learning Representations (ICLR)},
  booktitle             = {Workshop on Representation Learning on Graphs and Manifolds},
}

@inproceedings{Garcia-Garcia2019b,
  author                = {Garcia-Garcia, Alberto and Martinez-Gonzalez, Pablo and Oprea, Sergiu and Castro-Vargas, John Alejandro and Orts-Escolano, Sergio and Garcia-Rodriguez, Jose and Jover-Alvarez, Alvaro},
  title                 = {{The RobotriX: A Large-scale Dataset of Embodied Robots in Virtual Reality}},
  year                  = {2019},
  maintitle             = {International Conference on Computer Vision and Pattern Recognition (CVPR)},
  booktitle             = {Workshop on 3D Scene Generation},
}

@article{Garcia-Garcia2019,
  author                = {Alberto Garcia{-}Garcia and Brayan Stiven Zapata{-}Impata and Sergio Orts{-}Escolano and Pablo Gil and Jos{\'{e}} Garc{\'{\i}}a Rodr{\'{\i}}guez},
  title                 = {TactileGCN: {A} Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors},
  journal               = {CoRR},
  volume                = {abs/1901.06181},
  year                  = {2019},
}

@article{Oprea2019,
	author 				= {Sergiu Oprea and Pablo Martinez-Gonzalez and Alberto Garcia-Garcia and John A. Castro-Vargas and Sergio Orts-Escolano and Jose Garcia-Rodriguez},
	title 				= {A Visually Realistic Grasping System for Object Manipulation and Interaction in Virtual Reality Environments},
	journal 			= {Computers and Graphics},
	volume 				= {83},
	pages 				= {77 - 86},
	year 				= {2019},
	issn 				= {0097-8493},
}

@article{Martinez-Gonzalez2018,
  author                = {Pablo Martinez{-}Gonzalez and Sergiu Oprea and Alberto Garcia{-}Garcia and Alvaro Jover{-}Alvarez and Sergio Orts{-}Escolano and Jos{\'{e}} Garc{\'{\i}}a Rodr{\'{\i}}guez},
  title                 = {UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation},
  journal				= {Virtual Reality},
  year					= {2019},
  issn					= {1434-9957},
}

@InProceedings{Garcia-Garcia2018,
  author              = {Garcia-Garcia, Alberto and Martinez-Gonzalez, Pablo and Oprea, Sergiu and Castro-Vargas, John Alejandro and Orts-Escolano, Sergio and Garcia-Rodriguez, Jose and Jover-Alvarez, Alvaro},
  title               = {The RobotriX: An eXtremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions},
  booktitle           = {2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages               = {6790--6797},
  year                = {2018},
  organization        = {IEEE},
  ggs_class           = {1},
  gcs_rating          = {A+},
}

@InProceedings{Oprea2017b,
  author              = {Sergiu Oprea and Alberto Garcia-Garcia and Jose Garcia-Rodriguez and Sergio Orts-Escolano and Miguel Cazorla},
  title               = {A Recurrent Neural Network based Schaeffer Gesture Recognition System},
  booktitle           = {2017 International Joint Conference on Neural Networks, {IJCNN} 2017, Anchorage, Alaska, May 14-19, 2017},
  year                = {2017},
  ggs_class           = {2},
  ggs_rating          = {A-},
}

@InProceedings{Gomez-Donoso2017b,
  author              = {Francisco Gomez-Donoso and Alberto Garcia-Garcia and Jose Garcia-Rodriguez and Sergio Orts-Escolano and Miguel Cazorla},
  title               = {LonchaNet: A Sliced-based CNN Architecture for Real-time 3D Object Recognition},
  booktitle           = {2017 International Joint Conference on Neural Networks, {IJCNN} 2017, Anchorage, Alaska, May 14-19, 2017},
  year                = {2017},
  ggs_class           = {2},
  ggs_rating          = {A-},
  show_website        = {True},
}

@InProceedings{Castro-Vargas2017,
  author              = {John Alejandro Castro-Vargas and Alberto Garcia-Garcia and Sergiu Oprea and Sergio Orts-Escolano and Jose Garcia-Rodriguez},
  title               = {Detecting and Manipulating Objects with a Social Robot: An Ambient Assisted Living Approach},
  booktitle           = {{ROBOT} 2017: Third Iberian Robotics Conference - Volume 1, Seville, Spain, November 22-24, 2017},
  year                = {2017},
  pages               = {613--624},
}

@Article{Garcia-Garcia2017b,
  author              = {Alberto Garcia-Garcia and Sergio Orts-Escolano and Sergiu Oprea and Victor Villena-Martinez and Pablo Martinez-Gonzalez and Jose Garcia-Rodriguez},
  title               = {A Review on Deep Learning Techniques Applied to Semantic Segmentation},
  journal             = {Applied Soft Computing},
  volume              = {70},
  pages               = {41 - 65},
  year                = {2018},
  issn                = {1568-4946}
}

@Article{Garcia-Garcia2017,
  author              = {Alberto Garcia-Garcia and Jose Garcia-Rodriguez and Sergio Orts-Escolano and Sergiu Oprea and Francisco Gomez-Donoso and Miguel Cazorla},
  title               = {A study of the effect of noise and occlusion on the accuracy of convolutional neural networks applied to 3D object recognition},
  journal             = {Computer Vision and Image Understanding},
  year                = {2017},
  volume              = {164},
  pages               = {124--134},
  category            = {COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE},
  impact_factor_5year = {2.595},
  impact_factor_year  = {2.498},
  position            = {41/133},
  quartile            = {Q2},
}

@Article{Gomez-Donoso2017,
  author              = {Francisco Gomez-Donoso and Sergio Orts-Escolano and Alberto Garcia-Garcia and Jose Garcia-Rodriguez and John Alejandro Castro-Vargas and Sergiu Ovidiu-Oprea and Miguel Cazorla},
  title               = {A robotic platform for customized and interactive rehabilitation of persons with disabilities},
  journal             = {Pattern Recognition Letters},
  year                = {2017},
  volume              = {99},
  pages               = {105--113},
  category            = {COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE},
  impact_factor_5year = {2.164},
  impact_factor_year  = {1.995},
  position            = {58/133},
  quartile            = {Q2},
}

@Article{Cano2017,
  author              = {Gaspar Cano and Jose Garcia-Rodriguez and Sergio Orts-Escolano and Alberto Garcia-Garcia and Jorge Peña-Garcia and Alfonso Perez-Garrido and Horacio Perez-Sanchez},
  title               = {Predicción de solubilidad de fármacos usando máquinas de soporte vectorial sobre unidades de procesamiento gráfico},
  journal             = {Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería},
  year                = {2017},
  volume              = {33},
  number              = {1},
  pages               = {97 - 102},
  issn                = {0213-1315},
  category            = {ENGINEERING, MULTIDISCIPLINARY},
  impact_factor_5year = {0.345},
  impact_factor_year  = {0.431},
  keywords            = {Máquinas de Soporte Vectorial, Unidades de Procesamiento Gráfico, Bioinformática, Biología Computacional, Support Vector Machines, Graphic Processor Units, Bioinformatics, Computational Biology},
  position            = {74/85},
  quartile            = {Q4},
}

@Article{Oprea2017,
  author              = {Sergiu Oprea and Alberto Garcia‐Garcia and Sergio Orts‐Escolano and Victor Villena‐Martinez and John Castro‐Vargas},
  title               = {A long short-term memory based Schaeffer gesture recognition system},
  journal             = {Expert Systems},
  year                = {2017},
  category            = {COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE},
  impact_factor_5year = {1.180},
  impact_factor_year  = {1.188},
  position            = {91/133},
  quartile            = {Q3},
  show_website        = {True},
}

@InCollection{Garcia-Garcia2016d,
  author              = {Garcia, Alberto Garcia and Beckmann, Andreas and Kabadshow, Ivo},
  title               = {Accelerating an FMM-Based Coulomb Solver with GPUs},
  booktitle           = {Software for Exascale Computing (SPPEXA) 2013-2015},
  pages               = {485--504},
  year                = {2016},
  publisher           = {Springer},
}

@article{Mora2016,
  author              = {Mora, Higinio and Mora-Pascual, Jer{\'o}nimo M and Garcia-Garcia, Alberto and Mart{\'\i}nez-Gonz{\'a}lez, Pablo},
  title               = {Computational analysis of distance operators for the iterative closest point algorithm},
  journal             = {PloS one},
  volume              = {11},
  number              = {10},
  year                = {2016},
  publisher           = {Public Library of Science},
  impact_factor_year  = {2.766},
  position            = {15/64},
  quartile            = {Q1},
}

@InProceedings{Garcia-Garcia2016c,
  author              = {Alberto Garcia-Garcia and Francisco Gomez-Donoso and Jose Garcia-Rodriguez and Sergio Orts-Escolano and Miguel Cazorla and Jorge Azorin Lopez},
  title               = {PointNet: A 3D Convolutional Neural Network for real-time object class recognition},
  booktitle           = {2016 International Joint Conference on Neural Networks, {IJCNN} 2016, Vancouver, BC, Canada, July 24-29, 2016},
  year                = {2016},
  pages               = {1578--1584},
  ggs_class           = {2},
  ggs_rating          = {A-},
  show_website        = {True},
}

@Article{Garcia-Garcia2016b,
  author              = {Alberto Garcia-Garcia and Sergio Orts-Escolano and Sergiu Oprea and Jose Garcia-Rodriguez and Jorge Azorin-Lopez and Marcelo Saval-Calvo and Miguel Cazorla},
  title               = {Multi-sensor 3D object dataset for object recognition with full pose estimation},
  journal             = {Neural Computing and Applications},
  year                = {2016},
  volume              = {28},
  pages               = {941--952},
  issn                = {1433-3058},
  category            = {COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE},
  impact_factor_5year = {2.012},
  impact_factor_year  = {2.505},
  position            = {40/133},
  quartile            = {Q2},
  show_website        = {True},
}

@Article{Saval-Calvo2016,
  author              = {Marcelo Saval-Calvo and Jorge Azorin-Lopez and Andres Fuster-Guillo and Jose Garcia-Rodriguez and Sergio Orts-Escolano and Alberto Garcia-Garcia},
  title               = {Evaluation of sampling method effects in 3D non-rigid registration},
  journal             = {Neural Computing and Applications},
  year                = {2016},
  volume              = {28},
  pages               = {953--967},
  issn                = {1433-3058},
  category            = {COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE},
  impact_factor_5year = {2.012},
  impact_factor_year  = {2.505},
  position            = {40/133},
  quartile            = {Q2},
  show_website        = {True},
}

@Article{Orts-Escolano2016,
  author              = {Sergio Orts-Escolano and Jose Garcia-Rodriguez and Miguel Cazorla and Vicente Morell and Jorge Azorin-Lopez and Marcelo Saval-Calvo and Alberto Garcia-Garcia and Victor Villena-Martinez},
  title               = {Bioinspired point cloud representation: 3D object tracking},
  journal             = {Neural Computing and Applications},
  year                = {2016},
  volume              = {29},
  pages               = {663--672},
  month               = {Sep},
  issn                = {1433-3058},
  category            = {COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE},
  day                 = {16},
  impact_factor_5year = {2.012},
  impact_factor_year  = {2.505},
  position            = {40/133},
  quartile            = {Q2},
}

@Article{Garcia-Garcia2016,
  author              = {Alberto Garcia-Garcia and Sergio Orts-Escolano and Jose Garcia-Rodriguez and Miguel Cazorla},
  title               = {Interactive 3D object recognition pipeline on mobile GPGPU computing platforms using low-cost RGB-D sensors},
  journal             = {Journal of Real-Time Image Processing},
  year                = {2016},
  volume              = {14},
  pages               = {585--604},
  month               = {Jun},
  issn                = {1861-8219},
  category            = {COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE},
  day                 = {04},
  impact_factor_5year = {1.797},
  impact_factor_year  = {2.010},
  position            = {54/133},
  quartile            = {Q2},
}

@InProceedings{Orts-Escolano2015b,
  author              = {Sergio Orts-Escolano and Jose Garcia Rodriguez and Vicente Morell and Miguel Cazorla and Alberto Garcia-Garcia and Sergiu Oprea},
  title               = {Optimized Representation of 3D Sequences Using Neural Networks},
  booktitle           = {Bioinspired Computation in Artificial Systems - International Work-Conference on the Interplay Between Natural and Artificial Computation, {IWINAC} 2015, Elche, Spain, June 1-5, 2015, Proceedings, Part {II}},
  year                = {2015},
  pages               = {251--260},
  crossref            = {DBLP:conf/iwinac/2015-2},
}

@Article{Orts-Escolano2015,
  author              = {Sergio Orts-Escolano and Jose Garcia-Rodriguez and Vicente Morell and Miguel Cazorla and Jose Antonio Serra-Perez and Alberto Garcia-Garcia},
  title               = {3D Surface Reconstruction of Noisy Point Clouds Using Growing Neural Gas: 3D Object/Scene Reconstruction},
  journal             = {Neural Processing Letters},
  year                = {2015},
  volume              = {43},
  pages               = {401--423},
  category            = {COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE},
  impact_factor_5year = {1.503},
  impact_factor_year  = {1.747},
  position            = {49/130},
  quartile            = {Q2},
}

@Article{Orts-Escolano2014,
  author              = {Sergio Orts-Escolano and Jose Garcia-Rodriguez and Jose Antonio Serra-Perez and Antonio Jimeno-Morenilla and Alberto Garcia-Garcia and Vicente Morell and Miguel Cazorla},
  title               = {3D model reconstruction using neural gas accelerated on GPU},
  journal             = {Applied Soft Computing},
  year                = {2014},
  volume              = {32},
  pages               = {87--100},
  category            = {COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE},
  impact_factor_5year = {3.222},
  impact_factor_year  = {2.810},
  position            = {17/123},
  quartile            = {Q1},
}

repository: Blitzman/phd-thesis

repo_name: Blitzman/phd-thesis


text:
@inproceedings{Jamieson2021,
 abstract = {We present a solution to multi-robot distributed semantic mapping of novel and unfamiliar environments. Most state-of-the-art semantic mapping systems are based on supervised learning algorithms that cannot classify novel observations online. While unsupervised learning algorithms can invent labels for novel observations, approaches to detect when multiple robots have independently developed their own labels for the same new class are prone to erroneous or inconsistent matches. These issues worsen as the number of robots in the system increases and prevent fusing the local maps produced by each robot into a consistent global map, which is crucial for cooperative planning and joint mission summarization. Our proposed solution overcomes these obstacles by having each robot learn an unsupervised semantic scene model online and use a multiway matching algorithm to identify consistent sets of matches between learned semantic labels belonging to different robots. Compared to the state of the art, the proposed solution produces 20-60% higher quality global maps that do not degrade even as many more local maps are fused.},
 author = {Jamieson, Stewart and Fathian, Kaveh and Khosoussi, Kasra and How, Jonathan P. and Girdhar, Yogesh},
 booktitle = {2021 IEEE International Conference on Robotics and Automation (ICRA)},
 date = {2021-05-30},
 doi = {10.1109/ICRA48506.2021.9561934},
 eventtitle = {2021 IEEE International Conference on Robotics and Automation (ICRA)},
 issn = {2577-087X},
 keywords = {Bandwidth,Buildings,Classification algorithms,Computer Science - Multiagent Systems,Computer Science - Robotics,Conferences,Path planning,Semantics,Supervised learning},
 location = {Xi'an, China},
 pages = {8587--8593},
 publisher = {IEEE},
 title = {Multi-Robot Distributed Semantic Mapping in Unfamiliar Environments through Online Matching of Learned Representations},
 url = {http://arxiv.org/abs/2103.14805},
 urldate = {2021-03-30}
}

repository: SJamieson/academic-kickstart

repo_name: SJamieson/academic-kickstart

gha_language: Shell


text:
DESCRIPTION = "A network authentication protocol"
HOMEPAGE = "http://web.mit.edu/Kerberos/"
SECTION = "console/network"
PR = "r6"
LICENSE = "MIT"
DEPENDS = "perl-native ncurses util-linux-ng e2fsprogs-native"

inherit autotools binconfig

SRC_URI = "http://web.mit.edu/kerberos/dist/krb5/1.6/krb5-1.6.3-signed.tar \
           file://fix-uclibc-ruserpass-collision.patch;apply=no \
           file://copyperms.patch;apply=no"

S = "${WORKDIR}/${PN}-${PV}/src/"

# Will clean this up...
EXTRA_OECONF += " --without-tcl krb5_cv_attr_constructor_destructor=yes ac_cv_func_regcomp=yes \
                  ac_cv_printf_positional=yes ac_cv_file__etc_environment=yes \
                  ac_cv_file__etc_TIMEZONE=no --with-system-et"
CFLAGS_append += "-DDESTRUCTOR_ATTR_WORKS=1 -I${STAGING_INCDIR}/et"
LDFLAGS_append += "-lpthread"

FILES_${PN}-doc += /usr/share/examples

krb5_do_unpack() {
	tar xzf ${WORKDIR}/krb5-1.6.3.tar.gz -C ${WORKDIR}/
	patch -d ${S} -p1 < ${WORKDIR}/fix-uclibc-ruserpass-collision.patch
	patch -d ${S} -p1 < ${WORKDIR}/copyperms.patch
}

python do_unpack() {
	bb.build.exec_func('base_do_unpack', d)
	bb.build.exec_func('krb5_do_unpack', d)
}

do_configure() {
	oe_runconf
}

do_install_append () {
	mv ${D}${bindir}/ftp ${D}${bindir}/ftp.${PN}
	mv ${D}${sbindir}/ftpd ${D}${sbindir}/ftpd.${PN}
	mv ${D}${bindir}/telnet ${D}${bindir}/telnet.${PN}
	mv ${D}${sbindir}/telnetd ${D}${sbindir}/telnetd.${PN}
}

pkg_postinst_${PN} () {
#!/bin/sh
	update-alternatives --install ${bindir}/ftp ftp ftp.${PN} 100
	update-alternatives --install ${sbindir}/ftpd ftpd ftpd.${PN} 100
	update-alternatives --install ${bindir}/telnet telnet telnet.${PN} 100
	update-alternatives --install ${sbindir}/telnetd telnetd telnetd.${PN} 100
}

pkg_prerm_${PN} () {
#!/bin/sh
	update-alternatives --remove ftp ftp.${PN} 100
	update-alternatives --remove ftpd ftpd.${PN} 100
	update-alternatives --remove telnet telnet.${PN} 100
	update-alternatives --remove telnetd telnetd.${PN} 100
}

do_stage() {
	oe_libinstall -so -C util/support libkrb5support ${STAGING_LIBDIR}
	oe_libinstall -so -C util/et libcom_err ${STAGING_LIBDIR}
	oe_libinstall -so -C lib/crypto libk5crypto ${STAGING_LIBDIR}
	oe_libinstall -so -C lib/krb5 libkrb5 ${STAGING_LIBDIR}
	oe_libinstall -so -C lib/des425 libdes425 ${STAGING_LIBDIR}
	oe_libinstall -so -C lib/krb4 libkrb4 ${STAGING_LIBDIR}
	oe_libinstall -so -C lib/gssapi libgssapi_krb5 ${STAGING_LIBDIR}
	oe_libinstall -so -C lib/rpc libgssrpc ${STAGING_LIBDIR}
	oe_libinstall -so -C lib/kdb libkdb5 ${STAGING_LIBDIR}
	oe_libinstall -so -C lib/kadm5/clnt libkadm5clnt ${STAGING_LIBDIR}
	oe_libinstall -so -C lib/kadm5/srv libkadm5srv ${STAGING_LIBDIR}

	install -d ${STAGING_INCDIR}/krb5
	for X in krb5.h locate_plugin.h
	do
		install -m 0644 ${S}/include/krb5/$X ${STAGING_INCDIR}/krb5/$X
	done

	install -d ${STAGING_INCDIR}/gssapi
	for X in gssapi_generic.h gssapi.h gssapi_krb5.h
	do
		install -m 0644 ${S}/include/gssapi/$X ${STAGING_INCDIR}/gssapi/$X
	done
	install -m 0644 ${S}/lib/gssapi/mechglue/mechglue.h ${STAGING_INCDIR}/gssapi/mechglue.h

	install -d ${STAGING_INCDIR}/kerberosIV
	for X in krb.h des.h mit-copyright.h krb_err.h kadm_err.h
	do
		install -m 0644 ${S}/include/kerberosIV/$X ${STAGING_INCDIR}/kerberosIV/$X
	done

	install -d ${STAGING_INCDIR}/gssrpc
	for X in auth.h auth_gss.h auth_gssapi.h auth_unix.h clnt.h netdb.h pmap_clnt.h pmap_prot.h pmap_rmt.h rename.h rpc.h rpc_msg.h svc.h svc_auth.h xdr.h types.h
	do
		install -m 0644 ${S}/include/gssrpc/$X ${STAGING_INCDIR}/gssrpc/$X
	done

	# com_err.h needs to be added here if you choose to use this builtin
	for X in krb5.h profile.h gssapi.h
	do
		install -m 0644 ${S}/include/$X ${STAGING_INCDIR}/$X
	done
}

SRC_URI[md5sum] = "2dc1307686eb1c2bf1ab08ea805dad46"
SRC_URI[sha256sum] = "7a1bd7d4bd326828c8ee382ed2b69ccd6c58762601df897d6a32169d84583d2a"


text:
@InProceedings{kaneko:icra:2004,
  author    = {Kaneko, Kenji and Kanehiro, Fumio and Kajita, Shuuji and Hirukawa, Hirohisa and Kawasaki, Toshikazu and Hirata, Masaru and Akachi, Kazuhiko and Isozumi, Takakatsu},
  title     = {Humanoid Robot HRP-2},
  booktitle = {IEEE International Conference on Robotics and Automation},
  year      = {2004},
  address   = {New Orleans (LA), USA},
  month     = {April 26-May 1},
  url       = {https://staff.aist.go.jp/k.kaneko/publications/2004\_publications/ICRA2004-175\_WE-5\_5.pdf},
  keywords  = {Humanoid robots, Humans, Legged locomotion, Robotics and automation, Service robots, Prototypes, Manufacturing automation, Anthropomorphism, Aging, Hospitals},
  doi       = {10.1109/ROBOT.2004.1307969},
  abstract  = {A development of humanoid robot HRP-2 is presented in this paper. HRP-2 is a humanoid robotics platform, which we developed in phase two of HRP. HRP was a humanoid robotics project, which had run by the Ministry of Economy, Trade and Industry (METI) of Japan from 1998FY to 2002FY for five years. The ability of the biped locomotion of HRP-2 is improved so that HRP-2 can cope with uneven surface, can walk at two third level of human speed, and can walk on a narrow path. The ability of whole body motion of HRP-2 is also improved so that HRP-2 can get up by a humanoid robot\textquotesingle s own self if HRP-2 tips over safely. In this paper, the appearance design, the mechanisms, the electrical systems, specifications, and features upgraded from its prototype are also introduced.}
}

gha_language: TeX


text:
@article{Liang2018FocalVA,
  title={Focal Visual-Text Attention for Visual Question Answering},
  author={Junwei Liang and Lu Jiang and Liangliang Cao and Li-Jia Li and Alexander G. Hauptmann},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={6135-6143}
}

url: https://raw.githubusercontent.com/Hugh-Shi/DL-NLP-Readings/924e4d189e5660c5b5d4854278f3df755ae2231d/Bibtex/Focal Visual-Text Attention for Visual Question Answering.bib


text:
@manual{deeplearning4j,
title="deelearning4j",
year="2018",
organization="Skymind. DL4J"
}
@article{stkn_tohoku,
title="対話生成における応答のスタイル制御に関する研究",
year="2017",
month="3",
author="赤間怜奈"
}
@unknown{hum
aristbot,
author = {Augello, Agnese and Saccone, Gaetano and Gaglio, Salvatore and Pilato, Giovanni},
year={2008},
month={04},
pages={703 - 708},
title={Humorist Bot: Bringing Computational Humour in a Chat-Bot System},
isbn={978-0-7695-3109-0},
booktitle={Proceedings - CISIS 2008: 2nd International Conference on Complex, Intelligent and Software Intensive Systems}
}


text:
.input__wrapper {
    display: inline-block;
    width: 100%;
    padding: 4px 2px;
    border: 1px solid #eee;
    border-radius: 2px;
    background-color: #fff;
}

.input__wrapper:focus-within {
    border-color: #afafaf;
}

.input__element {
    width: 100%;

    font-size: 12px;
    line-height: 12px;

    border: none;
    outline: none;
}

extension: css


text:
body {
	font-family: Futura, "Century Gothic", "Dejavu Sans", "Trebuchet MS", sans-serif;
	font-size: 8pt;
}

html, body {
	width: 8.5in;
	height: 11in;
	padding: 0;
	margin: 0;
}

#map {
	height: 60%;
	width: 100%;
}

#data {
	height: 40%;
	width: 100%;
}

table {
	display: inline-table;
	margin-left: 1.5em;
	margin-right: 1.5em;
	margin-top: 1em;
	border: 1px solid black;
	border-collapse: collapse;
}

td {
	padding-left: 0.5em;
	padding-right: 0.5em;
	border: 1px dotted #999999;
}

tr:nth-child(odd) td {
	background: #cdf2f2;
}

.threshold-met {
	font-style: italic;
	font-weight: bold;
}

td:first-child + td, td:first-child + td + td {
	text-align: right;
}

license: Unlicense

repository: WSDOT-GIS/Alpaca

repo_name: WSDOT-GIS/Alpaca


text:
@ARTICLE{Harrington1982-ke,
  title     = "A Class of Rank Test Procedures for Censored Survival Data",
  author    = "Harrington, David P and Fleming, Thomas R",
  abstract  = "[A class of linear rank statistics is proposed for the k-sample
               problem with right-censored survival data. The class contains as
               special cases the log rank test (Mantel, 1966; Cox, 1972) and a
               test essentially equivalent to Peto \& Peto's (1972)
               generalization of the Wilcoxon test. martingale theory is used
               to establish asymptotic normality of test statistics under the
               null hypotheses considered, and to derive expressions for
               asymptotic relative efficiencies under contiguous sequences of
               alternative hypotheses. A class of distributions is presented
               which corresponds to the class of rank statistics in the sense
               that for each distribution there is a statistic with some
               optimal properties for detecting location alternatives from that
               distribution. Some Monte Carlo results are displayed which
               present small sample behaviour.]",
  journal   = "Biometrika",
  publisher = "[Oxford University Press, Biometrika Trust]",
  volume    =  69,
  number    =  3,
  pages     = "553--566",
  year      =  1982,
  url       = "http://www.jstor.org/stable/2335991",
  issn      = "0006-3444",
  doi       = "10.2307/2335991"
}

@ARTICLE{Cox1972-cj,
  title    = "Regression Models and {Life-Tables}",
  author   = "Cox, D R",
  abstract = "Summary The analysis of censored failure times is considered. It
              is assumed that on each individual are available values of one or
              more explanatory variables. The hazard function (age-specific
              failure rate) is taken to be a function of the explanatory
              variables and unknown regression coefficients multiplied by an
              arbitrary and unknown function of time. A conditional likelihood
              is obtained, leading to inferences about the unknown regression
              coefficients. Some generalizations are outlined.",
  journal  = "Journal of the Royal Statistical Society. Series B, Statistical
              methodology",
  volume   =  34,
  number   =  2,
  pages    = "187--202",
  month    =  jan,
  year     =  1972,
  url      = "http://doi.wiley.com/10.1111/j.2517-6161.1972.tb00899.x",
  issn     = "1369-7412, 0035-9246",
  doi      = "10.1111/j.2517-6161.1972.tb00899.x"
}

repository: seandavi/TargetOsteoAnalysis

repo_name: seandavi/TargetOsteoAnalysis


text:
/* ==UserStyle==
@name           Google Music dark style
@namespace      USO Archive
@author         herrfischer-hamburg
@description    `a dark google music style. dark and clean with black and dark-grey colours.`
@version        2011828.17.2
@license        NO-REDISTRIBUTION
@preprocessor   uso
==/UserStyle== */
@namespace url(http://www.w3.org/1999/xhtml);
@-moz-document domain(music.google.com) {

body {
background-color: #222 !important;
background-image: none !important;
}
.artistViewSongListTop, .songRow td {
    border-bottom: 1px solid #333 !important;
}
#uploading_indicator { display:none!important; }
#syncing_indicator { color:#666!important; }
#invite_friend .icon { background: none !important; width:3px!important }
#invite_friend { color:#666!important; }
#coloredBar { background-color:#111 !important; border-top:#222 4px solid!important; }
#main { background:#222 !important; }
.fade-out-effect { background:none !important; }
.fade-out-content { color:#666 !important; }

#oneGoogleWrapper{
background-color: #111 !important;
}
.search{
background: #333 !important;
-webkit-border-radius: 20px !important;
-moz-border-radius: 20px !important;
border-radius: 20px !important;
}
.search-button {
background: url("http://www.herrfischerhamburg.de/userstyles/googlemusic/sprites-2.png") no-repeat scroll -348px -285px transparent !important;
}

.search-icon {
    opacity:0.3 !important;
background:none !important;
width:8px!important;
}
#header {
    background-color: #000 !important;
}
#searchBox{
font-weight: normal !important;
}

#insideBox, .fade-out-with-menu{
background: none !important;
}
.label-input-label{
color: #777 !important;
}
.album-art {
    border: #222 1px solid !important;
    padding:0 !important;
-webkit-box-shadow: 0px 0px 2px 2px rgba(0,0,0, 0.3) !important;
-moz-box-shadow: 0px 0px 2px 2px  rgba(0,0,0, 0.3) !important;
box-shadow: 0px 0px 2px 2px  rgba(0,0,0, 0.3) !important;
}
.browseArtistArtContainer{
background: none !important;
}

#player { background: none !important; background-color: #333 !important;
border-top:#444 2px solid !important;  }
#playing_controls { background: none !important; background-color: #333 !important;  }
#nav { background-color:#000 !important; }
.focus .selected .nav-item {
    background-color: #333 !important;
    color: #dadada !important;
}
.nav-item-container.selected {
    border-color: #000 !important;
}
.nav-item:hover {
   background-color:#111 !important;
}
.browseArtistArtBorder {
    border-color: #000 #000 #000 -moz-use-text-color !important;
    padding:0 !important;
}
.albumImage {
    background-color: #222 !important;
    border: 1px solid #222 !important;
    padding: 0 !important;
-webkit-box-shadow: 0px 0px 2px 2px rgba(0,0,0, 0.3) !important;
-moz-box-shadow: 0px 0px 2px 2px  rgba(0,0,0, 0.3) !important;
box-shadow: 0px 0px 2px 2px  rgba(0,0,0, 0.3) !important;
}
#playingAlbumArt { border:none !important; }
.albumViewAlbumTitle {
    color:#ED8335 !important;
}
.albumViewArtistTitle {
    font-style:italic !important;
}
.browseArtistTitle .fade-out-content{
    color:#999 !important;
}
.album-name { color:#666 !important; }
.artist-name {
    font-style:italic !important;
}
.nav-section-header {
    border-bottom: 1px solid #333 !important;
}
.album-name-parent {
    margin-top: 5px !important;
}

.artistViewSeparatorRow td {
    border-top: 3px solid #333 !important;
}
.search-border {
    border-bottom: none !important;
    border-left: none !important;
    border-right: none !important;
}
.browseArtistArtBorder { width:40px !important; height:40px !important; background-color:#222 !important; }
.browseArtistAlbumImage { width:40px !important; height:40px !important; background-color:#222 !important; }
.browseArtistArt1, .browseArtistArt2, .browseArtistArt3, .browseArtistArt4 { width:40px !important; }
.song-count, .browseSubtext {
    color: #555 !important;

}
.songRow.hover { opacity:0.3 !important; }
.newPlaylistBtn {
    opacity:1 !important;
background: url("http://www.herrfischerhamburg.de/userstyles/googlemusic/sprites-2.png") no-repeat scroll -413px -214px transparent !important;
}
.selectedSong {
    background-color: #333 !important;
}
.selectedSong.hover td {
    background-color: #000 !important;
}
.selectedSong .playing-indicator, .playing-indicator {
    background-image:url("http://www.herrfischerhamburg.de/userstyles/googlemusic/now_playing_selected-2.gif") !important;
}
.goog-slider-track .goog-slider-thumb { background-image:url("http://www.herrfischerhamburg.de/userstyles/googlemusic/now_playing_selected-2.gif") !important;}
#playerSongInfo .goog-flat-button-hover { background-color:#222!important; }
.goog-slider-track .goog-slider-thumb-hover { background: url("http://www.herrfischerhamburg.de/userstyles/googlemusic/sprites-2.png") no-repeat scroll -437px -48px transparent !important; }
.goog-slider-track .goog-slider-thumb { background: url("http://www.herrfischerhamburg.de/userstyles/googlemusic/sprites-2.png") no-repeat scroll -201px -463px transparent !important; }
.logo {
    background: url("http://www.herrfischerhamburg.de/userstyles/googlemusic/sprites-2.png") no-repeat scroll -153px -396px transparent !important;
}
}

branch_name: refs/heads/flomaster


text:
.canvas-drawing {
  border: 1px solid black;
  background-color: white;
}

.container-canvas {
  width: 1000px;
  margin: 0 auto;
}

.black {
  background-color: black;
}

repository: kdembler/canvas-sphere-collider

repo_name: kdembler/canvas-sphere-collider


text:
@inproceedings{Xue_2017_EUSIPCO,
    author = {N. Xue and G. Papamakarios and M. Bahri and Y. Panagakis and S. Zafeiriou},
    booktitle = {The 25th European Signal Processing Conference (EUSIPCO)},
    month = {Aug},
    title = {Robust Low-rank Tensor Modelling Using Tucker and CP Decomposition},
    year = {2017},
}


text:
DESCRIPTION = "Microchip EGT Benchmark Application"
LICENSE = "Apache-2.0"
LIC_FILES_CHKSUM = "file://COPYING;endline=202;md5=3b83ef96387f14655fc854ddc3c6bd57"

DEPENDS = "libegt"

SRC_URI = "gitsm://github.com/linux4sam/egt-benchmark.git;protocol=https;branch=master"

SRCREV = "0668fb5d969d16fae4cc0a8aec554fd7594eb9ff"

S = "${WORKDIR}/git"

inherit pkgconfig autotools-brokensep siteinfo

EXTRA_OECONF += "--program-prefix='egt_'"

do_configure:prepend() {
	( cd ${S} && ${S}/autogen.sh )
}

FILES:${PN} += " \
    ${datadir}/egt/* \
"

python __anonymous () {
    endianness = d.getVar('SITEINFO_ENDIANNESS')
    if endianness == 'be':
        raise bb.parse.SkipRecipe('Requires little-endian target.')
}

branch_name: refs/heads/kirkstone


text:
@inproceedings{las-01-hpdc-cactus,
 address = {San Francisco and CA},
 author = {Michael Russell and Gabrielle Allen and Ian Foster and Ed Seidel and Jason Novotny and John Shalf and von Laszewski, Gregor and Greg Daues},
 booktitle = {Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing},
 day = {7-9~},
 doi = {10.1109/HPDC.2001.945190},
 issn = {1082-8907},
 month = {August},
 pages = {207-215},
 title = {The Astrophysics Simulation Collaboratory: A Science Portal Enabling Community Software Development},
 url = {https://laszewski.github.io/papers/astro-hpdc10.pdf},
 year = {2001}
}


text:
# Filename: FindOpenGLES1.cmake
# Authors: CFSworks (21 Oct, 2018)
#
# Usage:
#   find_package(OpenGLES1 [REQUIRED] [QUIET])
#
# Once done this will define:
#   OPENGLES1_FOUND       - system has OpenGL ES 1.x
#   OPENGLES1_INCLUDE_DIR - the include directory containing GLES/gl.h
#   OPENGLES1_LIBRARY     - the library to link against for OpenGL ES 1.x
#

find_path(OPENGLES1_INCLUDE_DIR "GLES/gl.h")

find_library(OPENGLES1_LIBRARY
  NAMES "GLESv1" "GLESv1_CM" "GLES_CM")

mark_as_advanced(OPENGLES1_INCLUDE_DIR OPENGLES1_LIBRARY)

include(FindPackageHandleStandardArgs)
find_package_handle_standard_args(OpenGLES1 DEFAULT_MSG OPENGLES1_INCLUDE_DIR OPENGLES1_LIBRARY)

extension: cmake


text:
@BOOK{HistLit82,
  title        = {История русской литературы: В 4 т.},
  organization = {АН СССР, Ин-т рус.~лит.\ (Пушкин.дом)},
  address      = {М.},
  year         = {1982},
  volume       = {3: Расцвет реализма},
  pagetotal    = {876},
  language     = {russian},
}


text:
# Defines a macro to make it easy to build a library
#

FUNCTION(CPP_LIBRARY)
  SET(argList "${ARGN}")

  CMAKE_PARSE_ARGUMENTS("" # Default arg prefix is just "_"
                      "" # Option type arguments
                      "NAME;LIB_TYPE;SWIG_PY" # Single value arguments
                      "SOURCES;HEADERS;DATA;PACKAGES;TOOLS;QT_UI;" # List valued arguments

                      ${argList} )

  # Make sure required parameters were provided
  REQUIRE_NOT_EMPTY(_NAME _LIB_TYPE)

  # Ensure no unexpected parameters were provided
  IF(_UNPARSED_ARGUMENTS)
    MESSAGE(FATAL_ERROR "unexpected arguments: ${_UNPARSED_ARGUMENTS}")
  ENDIF()

  # Verify parameters are valid
  IF(_LIB_TYPE)
    STRING(COMPARE EQUAL ${_LIB_TYPE} STATIC BUILD_STATIC_LIB)
    STRING(COMPARE EQUAL ${_LIB_TYPE} SHARED BUILD_SHARED_LIB)
    STRING(COMPARE EQUAL ${_LIB_TYPE} STATIC_AND_SHARED BUILD_STATIC_AND_SHARED_LIB)
    STRING(COMPARE EQUAL ${_LIB_TYPE} HEADER BUILD_HEADER_LIB)
    IF(NOT BUILD_STATIC_LIB AND NOT BUILD_SHARED_LIB AND NOT BUILD_STATIC_AND_SHARED_LIB AND NOT BUILD_HEADER_LIB)
      MESSAGE(FATAL_ERROR "_LIB_TYPE must be one of: STATIC, SHARED, STATIC_AND_SHARED, HEADER")
    ENDIF()
  ELSE()
    MESSAGE(FATAL_ERROR "_LIB_TYPE must be one of: STATIC, SHARED, STATIC_AND_SHARED, HEADER")
  ENDIF()

  IF(BUILD_HEADER_LIB)
    # Ensure HEADER libraries don't also try to give SOURCES
    IF(_SOURCES)
      MESSAGE(FATAL_ERROR "_LIB_TYPE HEADER is for header only libraries, but you provided source files.")
    ENDIF()
  ELSE()
    # Ensure non HEADER only libraries do give SOURCES
    IF(NOT _SOURCES)
      MESSAGE(FATAL_ERROR "If you have no _SOURCES files and intended to make a header only library, use _LIB_TYPE 'HEADER' instead of '${_LIB_TYPE}'.")
    ENDIF()
  ENDIF()

  IF(_SWIG_PY AND BUILD_STATIC_LIB)
    MESSAGE(FATAL_ERROR "You requested python bindings for a STATIC lib... This is not possible.  Please switch to STATIC_AND_SHARED.")
  ENDIF()

  INCLUDE(${cmakesnap_DIR}/internal/cpp_common.cmake)

  # Create target (only if it has _SOURCES, otherwise we have a header only lib)
  IF (BUILD_STATIC_AND_SHARED_LIB)
    # Make recusive calls for each type
    CPP_LIBRARY(
      NAME     ${_NAME}
      SOURCES  ${_SOURCES}
      HEADERS  ${_HEADERS}
      PACKAGES ${_PACKAGES}
      DATA     ${_DATA}
      LIB_TYPE STATIC
    )

    CPP_LIBRARY(
      NAME     ${_NAME}
      SOURCES  ${_SOURCES}
      HEADERS  ${_HEADERS}
      PACKAGES ${_PACKAGES}
      DATA     ${_DATA}
      LIB_TYPE SHARED
      SWIG_PY  ${_SWIG_PY}
    )
  ELSE()
    # If we are here we are building a lib of type STATIC, SHARED, or HEADER
    INCLUDE_DIRECTORIES(${CMAKE_SOURCE_DIR} ${CMAKE_BINARY_DIR} ${CMAKE_CURRENT_SOURCE_DIR} ${required_includes})
    GET_DIRECTORY_PROPERTY(CUR_INCLUDE INCLUDE_DIRECTORIES)
    IF(NOT BUILD_HEADER_LIB)
      IF(BUILD_STATIC_LIB)
        SET(target_output "${_NAME}")
        ADD_LIBRARY(${target} STATIC ${_HEADERS} ${_SOURCES})
        set_target_properties(${target} PROPERTIES COMPILE_FLAGS "-fPIC") # -fPIC required for x86_64 static libs
        SET_TARGET_PROPERTIES("${target}" PROPERTIES OUTPUT_NAME "${target_output}")
      ELSEIF(BUILD_SHARED_LIB)
        SET(target "${target}-shared")
        SET(target_output "${_NAME}-shared")
        ADD_LIBRARY(${target} SHARED ${_HEADERS} ${_SOURCES})
        SET_TARGET_PROPERTIES("${target}" PROPERTIES OUTPUT_NAME "${target_output}")
        IF(_SWIG_PY)
          SET(wrap_package_uri "${target_uri}-shared")
          SWIG_PYTHON(NAME   py_${_NAME}
                      SOURCE ${_SWIG_PY}
                      WRAP_PACKAGE_URI   ${wrap_package_uri})
        ENDIF()
      ELSE()
        MESSAGE(FATAL_ERROR "this shouldn't happen")
      ENDIF()
      TARGET_LINK_LIBRARIES(${target} ${required_libraries})
      CHECK_FOR_MISSING_SYMBOLS(${target})
      INCLUDE(${cmakesnap_DIR}/internal/cpp_install_common.cmake)
      ADD_LIBRARY_TARGET_BUILD_FLAG(${target})
    ENDIF()

    # This makes sure CMAKE knows to build all of our dependencies first
    FOREACH(dependency_uri ${_PACKAGES})
      URI_TO_TARGET_NAME(${dependency_uri} dependency_target)
      ADD_DEPENDENCIES(${target} ${dependency_target})
    ENDFOREACH()

    #write meta data files to allow the packages to be used easily by other
    #projects built using the APP_PROJECT or LIB_PROJECT macros
    GET_TARGET_PROPERTY(TARGET_FILE ${target} LOCATION)
    IF(NOT TARGET_FILE)
      SET(TARGET_FILE "")
    ENDIF(NOT TARGET_FILE)

    TO_CANONICAL_URIS("${_PACKAGES}" requiredPackages)
    IF(NOT DEFINED cmakesnap_DIR)
      MESSAGE(FATAL_ERROR "cmakesnap_DIR not defined")
    ENDIF(NOT DEFINED cmakesnap_DIR)
    CONFIGURE_FILE("${cmakesnap_DIR}/internal/config.cmake.in"
                    ${CMAKE_CURRENT_BINARY_DIR}/${target}Config.cmake @ONLY IMMEDIATE)

    SET("${target}_DIR" ${CMAKE_CURRENT_BINARY_DIR} CACHE PATH "Path to package ${target_uri}" FORCE)
    MARK_AS_ADVANCED("${target}_DIR")

    # print status update
    DISPLAY_PACKAGE_STATUS(
      TYPE         "CPP LIB"
      URI          ${target_uri}
      MISSING_URIS ${missing_package_uris}
    )
  ENDIF()

ENDFUNCTION(CPP_LIBRARY)


text:
DESCRIPTION = "A TCP/IP Daemon simplifying the communication with GPS devices"
SECTION = "network"
PRIORITY = "optional"
MAINTAINER = "Robert Anderson <rea@sr.unh.edu>"
LICENSE = "GPL"
PR = "r1"

SRC_URI = "http://ftp.berlios.de/gpsd/gpsd-${PV}.tar.gz"

inherit autotools update-rc.d

INITSCRIPT_NAME = "gpsd"
INITSCRIPT_PARAMS = "defaults 35"

LDFLAGS = "-lm"

do_configure() {
	oe_runconf
}

do_compile() {
	oe_runmake gpsd gpsd.1 libgps.3 libgpsd.3 gps.h gpsd.h
}

do_stage () {
	oe_libinstall -so -C ${S}/.libs libgps ${STAGING_LIBDIR}
	install -m 0655 ${S}/libgps.la ${STAGING_LIBDIR}
	install -m 0655 ${S}/gps.h ${STAGING_INCDIR}
	install -m 0655 ${S}/gpsd.h ${STAGING_INCDIR}
}

do_install () {
	install -d ${D}${sbindir}
	install -d ${D}${mandir}/man1
	install -d ${D}${mandir}/man3
	install -d ${D}${incdir}
	install -d ${D}${libdir}
	install -d ${D}${sysconfdir}/init.d

	install -m 0755 ${S}/.libs/gpsd ${D}${sbindir}
	oe_libinstall -so -C ${S}/.libs libgps ${D}${libdir}
	install -m 755 gpsd.1 ${D}${mandir}/man1/gpsd.1
	install -m 0755 ${S}/libgps.la ${D}${libdir}libgps.la
	install -m 0755 ${S}/gps.h ${S}/gpsd.h ${D}${incdir}
	install -m 755 libgps.3 libgpsd.3 ${D}${mandir}/man3/
	install -m 755 gpsd.init ${D}${sysconfdir}/init.d/gpsd
}

PACKAGES =+ "gpsd-devdoc "
FILES_${PN}-devdoc = "${mandir}/man3 "

repository: Terentyev/familiar-linux

repo_name: Terentyev/familiar-linux


text:
@InProceedings{lewi07a,
  title = {Efficient active learning with generalized linear models},
  author = {Jeremy Lewi and Robert Butera and Liam Paninski},
  pages = {267--274},
  abstract = {Active learning can significantly reduce the amount of training data required to fit parametric statistical models for supervised learning tasks. Here we present an efficient algorithm for choosing the optimal (most informative) query when the output labels are related to the inputs by a generalized linear model (GLM). The algorithm is based on a Laplace approximation of the posterior distribution of the GLMÂs parameters. The algorithm requires only low-rank matrix manipulations and a single two-dimensional search to choose the optimal query and has complexity $O(n^2)$ (with n the dimension of the feature space), making active learning with GLMs feasible even for high-dimensional feature spaces. In certain cases the twodimensional search may be reduced to a onedimensional search, further improving the algorithmÂs efficiency. Simulation results show that the model parameters can be estimated much more efficiently using the active learning technique than by using randomly chosen queries. We compute the asymptotic posterior covariance semi-analytically and demonstrate that the algorithm empirically achieves this asymptotic convergence rate, which is generally better than the convergence rate in the random-query setting. Finally, we generalize the approach to efficiently handle both output history effects (for applications to time-series models of autoregressive type) and slow, non-systematic drifts in the model parameters},
  pdf = {http://jmlr.org/proceedings/papers/v2/lewi07a/lewi07a.pdf},
}

repository: mreid/papersite

repo_name: mreid/papersite


text:
@article{vallarta_1939_Scattering-Cosmic-Rays-Stars-Galaxy,
 adsnote = {Provided by the SAO/NASA Astrophysics Data System},
 adsurl = {https://ui.adsabs.harvard.edu/abs/1939PhRv...55..506V},
 author = {Vallarta, M. S. and Feynman, R. P.},
 doi = {10.1103/PhysRev.55.506.2},
 journal = {Physical Review},
 month = {March},
 number = {5},
 pages = {506--507},
 title = {The Scattering of Cosmic Rays by the Stars of a Galaxy},
 volume = {55},
 year = {1939}
}

repository: grpaulfr/academic-kickstart

repo_name: grpaulfr/academic-kickstart


text:
@article{dc2009novel,
  title={A novel enhanced weighted clustering algorithm for mobile networks},
  author={Li, Chang and Wang, Yafeng and Huang, Fan and Yang, Dacheng},
  booktitle={Wireless Communications, Networking and Mobile Computing, 2009. WiCom'09. 5th International Conference on},
  pages={1--4},
  year={2009},
  organization={IEEE}
}

@article{iot2010,
title= {The Internet of Things: A survey},
 Author= {L. Atzori and A. Iera and G. Morabito},
Journal= {Computer Network},
Pages= {2787-2805},
Year= {Oct. 2010} }
}

@article{ iot2013,
title= {Opportunistic IoT: Exploring the Harmonious Interaction between Human and the Internet of Things},
 Author= { B. Guo and D. Zhang and Z. Wang and Z. Yu, X. Zhou },
Journal= {Journal of Network and Computer Applications},
Pages= {1531-1539 },
Year= { 2013}
}

@article {2006opnet,
title= {Opportunistic networking: data forwarding in disconnected mobile ad hoc networks},
Author= {  L. Pelusi and A. Passarella and M. Conti},
Journal= { IEEE Communications Magazine, vol. 44, Issue 11 },
Pages= { 134-141},
Year= {  Nov. 2006}
}

@article {2000epi,
title= {Epidemic routing for partially connected ad hocnetworks },
Author= {   A.Vahdat and D.Becker},
Journal= {TechnicalReportCS-2000-06 },
Year= { 2000}
}

@article {2004hbpr,
title= {HBPR: History Based Prediction for Routing in Infrastructure-less Opportunistic Networks},
Author=  {S. K. Dhurandher and Deepak Kr. Sharma and I. Woungang and S. Bhati},
Journal= { IEEE AINA 2013, Barcelona, Spain },
Year= {   March 25-28, 2013}
}

@article {2003pric,
title= { Probabilistic routing in intermittently connected networks },
Author= { A. Lindgren and A. Doria and O. Schelen},
Journal= {  ACM SIGMOBILE, Mobile Computing and Communications Review, vol. 7, Issue 3},
Pages= {  19-20 },
Year= {  July 2003}
}

@article {2006on,
title= {Opportunistic networking: data forwarding in disconnected mobile ad hoc networks},
Author= {  L. Pelusi and A. Passarella and M. Conti},
Journal= { IEEE Communications Magazine, vol. 44, Issue 11 },
Pages= { 134-141},
Year= {  Nov. 2006}
}

@article {2015pbcffon,
title= {Probability-based Controlled Flooding in Opportunistic Networks},
Author= {S. K. Dhurandher and S. J. Borah and M. S. Obaidat and D. K. Sharma and S. Gupta, B. Baruah},
Journal= { Proc. of Intl. Conference on Wireless Information Networks and System (WINSYS), Colmar, France },
Pages= { 3-8},
Year= { July 20-22, 2015 }
}

@article {2016mlbp,
title= {A Machine Learning Based Protocol for Effcient Routing in Opportunistic Networks},
 Author= { D. K. Sharma and S. K. Dhurandher and I. Woungang and R. K. Srivastava and A. Mohananey and Joel J.P.C. Rodrigues},
Journal= { IEEESystemsJournal, DOI: 10.1109/JSYST.2016.2630923  },
Year={ 2016}
}

@article {2016dmcpm,
title= {A dynamic Markov chain prediction model for delay-tolerant networks},
 Author= {  I-k Jeon and K-w. Lee},
Journal= { International Journal of Distributed Sensor Networks, Vol 12},
Pages= {  2-7 },
Year= {  Sept. 2016}
}

@article { 2016edr,
title= {EDR: An Encounter and Distance Based Routing Protocol for Opportunistic Networks},
 Author= { S. K. Dhurandher and S. Borah and I. Woungang and D. K. Sharma and K. Arora and D. Agarwal },
Journal= { Proc. of IEEE AINA 2016, Crans-Montana, Switzerland },
Pages= { 297-302},
Year= { March 23-25, 2016}
}

@article {hibop,
Author = {C. Boldrini and M. Conti and I. Iacopini and A. Passarella },
title = {HIBOP: A History based Routing Protocol for Opportunistic Networks},
Journal = { Proc. of IEEE Intl. Symposium on World of Wireless, Mobile and Multimedia Networks (WOWMOM 2007)},
Pages ={1-12},
Year ={ 2007}
}

@article{keranen2008opportunistic,
  title={Opportunistic network environment simulator},
  author={Keranen, Ari},
  journal={Special Assignment report, Helsinki University of Technology, Department of Communications and Networking},
  year={2008}
}

@inproceedings{spyropoulos2005spray,
  title={Spray and wait: an efficient routing scheme for intermittently connected mobile networks},
  author={Spyropoulos, Thrasyvoulos and Psounis, Konstantinos and Raghavendra, Cauligi S},
  booktitle={Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking},
  pages={252--259},
  year={2005},
  organization={ACM}
}

@article{srinidhi2018network,
  title={Network optimizations in the Internet of Things: A review},
  author={Srinidhi, NN and Kumar, SM Dilip and Venugopal, KR},
  journal={Engineering Science and Technology, an International Journal},
  year={2018},
  publisher={Elsevier}
}

repository: deepakchethan/Project-Report

repo_name: deepakchethan/Project-Report


text:
@online{besteconometriciangmail.com_econometrics_help:_nodate-1,
	title = {Econometrics\_Help: Not to forget to do data cleansing before modeling},
	url = {http://costaleconomist.blogspot.com/2008/11/not-to-forget-to-do-data-cleansing.html},
	abstract = {Description: Some simple guidelines for basic quality checks prior to data analysis.},
	author = {besteconometrician@gmail.com},
	urldate = {2010-10-25}
}

repository: pmean/build-website

repo_name: pmean/build-website


text:
@article{miaoLatentStructureNational2021a,
 abstract = {Science is considered essential to innovation and economic prosperity. Understanding how nations build scientific capacity is therefore crucial to promote economic growth and national development. Although studies have shown that national scientific development is affected by geographic, historic, and economic factors, it remains unclear whether there are universal structures and trajectories behind national scientific development that can inform forecasting and policy making. By examining countries' scientific exportation-the publications that are internationally indexed-we reveal a three-cluster structure in the relatedness network of disciplines that underpin national scientific development and the organization of global science. Tracing the evolution of national research portfolios reveals that while nations are proceeding to more diverse research profiles individually, scientific production is increasingly specialized in global science over the past decades. We further demonstrate that the revealed disciplinary clusters inform economic development, where the number of publications in applied research centered cluster significantly predicts economic growth. By uncovering the underlying structure of scientific development and connecting it with economic development, our results may offer a new perspective to study national scientific development and its relationships with economic development.},
 archiveprefix = {arXiv},
 author = {Miao, Lili and Murray, Dakota and Jung, Woo-Sung and Larivière, Vincent and Sugimoto, Cassidy R. and Ahn, Yong-Yeol},
 eprint = {2104.10812},
 eprinttype = {arxiv},
 file = {/Users/dakotamurray/Zotero/storage/UV9BW8XS/Miao et al. - 2021 - The latent structure of national scientific develo.pdf;/Users/dakotamurray/Zotero/storage/SFLVP6LL/2104.html},
 journal = {arXiv:2104.10812 [cs]},
 keywords = {Computer Science - Social and Information Networks},
 month = {April},
 primaryclass = {cs},
 title = {The Latent Structure of National Scientific Development},
 year = {2021}
}


text:
@article{SmallSateliteSystems,
    author = {R. Radhakrishman and W. W. Edmonson and F. Afghah and R. M. Rodriguez-Osorio and F. Pinto Jr and Scott C. Burleigh},
    title = {Survey of Inter-satellite Communication for Small Satellite Systems: Physical Layer to Network Layer View},
    journal = {IEEE Communications Surveys \& Tutorials},
    volume = 18,
    year = 2016,
    pages = {2442-2473}
}
@article{ImpairmentsInOpticalNetworkAlgorithms,
    author = {Siamak Azodolmolky and Mirosław Klinkowskia and Eva Marina and Davide Careglioa and Josep Solé Paretaa and Ioannis Tomkos},
    title = {A survey on physical layer impairments aware routing and wavelength assignment algorithms in optical networks},
    journal = {The International Journal of Computer and Telecommunications Networking},
    volume = 53,
    year = 2009,
    pages = {926-944}
}
@conference{VisibleLightCommsSmallSatelites,
    author = {David N Amanor and William W Edmonson and Awele I Anyanhun},
    title = {VISIBLE LIGHT COMMUNICATION SYSTEM FOR INTER-SATELLITE COMMUNICATION OF SMALL SATELLITES},
    year = 2016
}
@conference{LinkPerformanceImprovementInSateliteComms,
    author = {David N Amanor and William W Edmonson and Fatemeh Afghah},
    title = {Link Performance Improvement via Design Variables Optimization in LED-Based VLC System for Inter-satellite Communication},
    year = 2017
}
@book{DataCommAndNetworking,
    author = {YEKINI N. ASAFE and ADEBARI F. ADEBAYO and BELLO OLALEKAN},
    title = {DATA COMMUNICATION \& NETWORKING},
    institution = {Computer Engineering Department of Yaba College of Technology, Lagos, Nigeria},
    year = 2015
}
@book{DataCommsBook,
    author = {Behrouz A. Forouzan and Sophia Chung Fegan},
    title = {Communications and Networking},
    year = 2007
}
@article{PhysicalLayerPerformanceOnNetworks,
    author = {J-M. Dricot and Ph. De Doncker and E. Zim´anyi and Fr. Grenez},
    title = {Impact of the physical layer on the performance of indoor wireless networks},
    year = 2003
}
@conference{EffectofWirelessPhysicalLayerModeling,
    author = {Mineo Takai and Jay Martin and Rajive Bagrodia},
    title = {Effects of Wireless Physical Layer Modeling in Mobile Ad Hoc Networks},
    year = 2001
}
@techreport{IntroToLTE,
    author = {Ericcson},
    title = {LTE - an introduction},
    year = 2009
}
@article{LTELinkDesign,
    author = {Anna Larmo and Magnus Lindström and Michael Meyer and Ghyslain Pelletier and Johan Torsner and Henning Wiemann and Ericsson Research},
    title = {The LTE Link-Layer Design},
    journal = {IEEE Communications Magazine},
    volume = 47,
    year = 2009,
    pages = {52-59}
}


text:
# Find IPOPT
#
# This sets the following variables:
# IPOPT_FOUND
# IPOPT_INCLUDE_DIRS
# IPOPT_LIBRARIES
# IPOPT_DEFINITIONS
# IPOPT_VERSION

find_package(PkgConfig)

pkg_check_modules(PC_IPOPT REQUIRED ipopt>=3.12.4)

set(IPOPT_DEFINITIONS ${PC_IPOPT_CFLAGS_OTHER})
set(IPOPT_INCLUDE_DIRS ${PC_IPOPT_INCLUDE_DIRS})
set(IPOPT_LIBRARIES ${PC_IPOPT_LIBRARIES})
set(IPOPT_VERSION ${PC_IPOPT_VERSION})
include(FindPackageHandleStandardArgs)
# if all listed variables are TRUE
find_package_handle_standard_args(IPOPT DEFAULT_MSG
  IPOPT_LIBRARIES IPOPT_INCLUDE_DIRS)
mark_as_advanced(IPOPT_INCLUDE_DIRS IPOPT_LIBRARIES)

if(${IPOPT_FOUND})
  message(STATUS "Found IPOPT version: " ${IPOPT_VERSION} " installed in: " ${PC_IPOPT_PREFIX})
else()
  message(SEND_ERROR "Could not find IPOPT")
endif()


text:
@inproceedings{Chilana:2015:TTH:2702613.2724724,
 acmid = {2724724},
 address = {New York, NY, USA},
 author = {Chilana, Parmit K. and Czerwinski, Mary P. and Grossman, Tovi and Harrison, Chris and Kumar, Ranjitha and Parikh, Tapan S. and Zhai, Shumin},
 booktitle = {Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems},
 doi = {10.1145/2702613.2724724},
 isbn = {978-1-4503-3146-3},
 location = {Seoul, Republic of Korea},
 numpages = {6},
 pages = {823--828},
 publisher = {ACM},
 series = {CHI EA '15},
 title = {Technology Transfer of HCI Research Innovations: Challenges and Opportunities},
 url = {http://doi.acm.org/10.1145/2702613.2724724},
 year = {2015}
}

repository: jmatejka/group-website

repo_name: jmatejka/group-website


text:
@article{raymond_detecting_2020,
 abstract = {Rotational transitions are unique identifiers of molecular species, including isotopologues. This article describes the rotational detections of two laser-volatilized salts, NaCl and KCl, made with a miniature Fourier transform millimeter-wave (FTmmW) cavity spectrometer that could one day be used to measure solid composition in the field or in space. The two salts are relevant targets for icy moons in the outer solar system, and in principle, other molecular solids could be analyzed with the FTmmW instrument. By coupling the spectrometer to a collisionally cooling laser ablation source, (a) we demonstrate that the FTmmW instrument is sensitive enough to detect ablation products, and (b) we use the small size of the FTmmW cavity to measure ablation product signal along the carrier gas beam. We find that for 532 nm nanosecond pulses, ablated molecules are widely dispersed in the carrier-gas jet. In addition to the miniature spectrometer results, we present several complementary measurements intended to characterize the laser ablation process. For pulse energies between 10 and 30 mJ, the ablation product yield increases linearly, reaching approximately 1012 salt molecules per 30 mJ pulse. Using mass spectrometry, we observe Li+, Na+, and K+ in the plumes of ablated NaCl, KCl, and LiCl, which implies dissociation of the volatilized material. We do not observe salt ions (e.g., NaCl+). However, with 800 nm femtosecond laser pulses, the triatomic ion clusters Li2Cl+, Na2Cl+, and K2Cl+ are produced. Finally, we observe incomplete volatilization with the nanosecond pulses: some of the ejecta are liquid droplets. The insights about ablation plume physics gleaned from these experiments should guide future implementations of the laser-volatilization technique.},
 author = {Raymond, Alexander W. and Kelvin Lee, Kin Long and McCarthy, Michael C. and Drouin, Brian J. and Mazur, Eric},
 doi = {10.1021/acs.jpca.9b10548},
 file = {ACS Full Text Snapshot:/home/kelvin/Dropbox (MIT)/Papers/Zotero/storage/AJXM5KV9/acs.jpca.html:text/html;Full Text PDF:/home/kelvin/Dropbox (MIT)/Papers/Zotero/storage/GF76MZE2/Raymond et al. - 2020 - Detecting Laser-Volatilized Salts with a Miniature.pdf:application/pdf},
 issn = {1089-5639},
 journal = {The Journal of Physical Chemistry A},
 month = {February},
 note = {ZSCC: 0000000},
 title = {Detecting Laser-Volatilized Salts with a Miniature 100-GHz Spectrometer},
 url = {https://doi.org/10.1021/acs.jpca.9b10548},
 urldate = {2020-02-14},
 year = {2020}
}

repository: MartinDrumel/personal-website

repo_name: MartinDrumel/personal-website


text:
@inproceedings{sivagnanam2022offline,
 abstract = {Vehicle routing problems (VRPs) can be divided into two major categories: offline VRPs, which consider a given set of trip requests to be served, and online VRPs, which consider requests as they arrive in real-time. Based on discussions with public transit agencies, we identify a real-world problem that is not addressed by existing formulations: booking trips with flexible pickup windows (e.g., 3 hours) in advance (e.g., the day before) and confirming tight pickup windows (e.g., 30 minutes) at the time of booking. Such a service model is often required in paratransit service settings, where passengers typically book trips for the next day over the phone. To address this gap between offline and online problems, we introduce a novel formulation, the offline vehicle routing problem with online bookings. This problem is very challenging computationally since it faces the complexity of considering large sets of requests—similar to offline VRPs—but must abide by strict constraints on running time—similar to online VRPs. To solve this problem, we propose a novel computational approach, which combines an anytime algorithm with a learning-based policy for real-time decisions. Based on a paratransit dataset obtained from our partner transit agency, we demonstrate that our novel formulation and computational approach lead to significantly better outcomes in this service setting than existing algorithms.},
 author = {Sivagnanam, Amutheezan and Kadir, Salah Uddin and Mukhopadhyay, Ayan and Pugliese, Philip and Dubey, Abhishek and Samaranayake, Samitha and Laszka, Aron},
 booktitle = {31st International Joint Conference on Artificial Intelligence (IJCAI)},
 month = {Jul},
 preprint = {https://arxiv.org/abs/2204.11992},
 title = {Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit},
 year = {2022}
}


text:
DESCRIPTION = "OSS packages for S4 development & testing"

LICENSE = "BSD-3-Clause & GPLv2+ & LGPLv2+"

inherit packagegroup

PACKAGES = " \
    packagegroup-oss \
    packagegroup-bsp-devpkg \
    packagegroup-bsp-testpkg \
    packagegroup-bsp-python3 \
"

RDEPENDS_packagegroup-oss = " \
    packagegroup-bsp-devpkg \
    packagegroup-bsp-testpkg \
    packagegroup-bsp-python3 \
"

# OSS packages for development
RDEPENDS_packagegroup-bsp-devpkg = " \
    cmake \
    g++ \
    gcc \
    git \
    git-perltools \
    make \
    curl \
    devmem2 \
    gdb \
    gdbserver \
    iperf3 \
    iproute2 \
    iproute2-tc \
    linuxptp \
    nano \
    openssh-sftp \
    openssh-sftp-server \
    opkg \
    perf \
    procps \
    rsync \
    wget \
    libgpiod libgpiod-tools \
    libyaml \
    i2c-tools \
    stress \
    spidev-dbg spidev-test \
    avahi-daemon \
"

# Various packages needed for testing
RDEPENDS_packagegroup-bsp-testpkg = " \
    bonnie++ \
    can-utils \
    e2fsprogs \
    e2fsprogs-tune2fs \
    eglibc-utils \
    ethtool \
    ldd \
    libpcap \
    libsocketcan \
    lmbench \
    mtd-utils \
    mtd-utils-jffs2 \
    pciutils \
    subversion \
    util-linux \
    dbench \
    dhrystone \
    ${@bb.utils.contains("LICENSE_FLAGS_WHITELIST", "non-commercial", "netperf", "", d)} \
    whetstone \
    fio \
"

# Python3 packages requested by Renesas
RDEPENDS_packagegroup-bsp-python3 = " \
    python3-dbus \
    python3-nose \
    python3-numpy \
    python3-pygobject \
    python3-pyyaml \
    python3-setuptools \
    python3-pip \
"

repository: renesas-rcar/meta-renesas

repo_name: renesas-rcar/meta-renesas

branch_name: refs/heads/dunfell


text:
DESCRIPTION = "Send desktop notifications to a notification daemon"
HOMEPAGE = "http://www.galago-project.org/"
SECTION = "libs"
LICENSE = "LGPL"
DEPENDS = "dbus gtk+"
PR = "r0"

SRC_URI = "http://www.galago-project.org/files/releases/source/${PN}/${PN}-${PV}.tar.gz"

inherit autotools pkgconfig

SRC_URI[md5sum] = "472e2c1f808848365572a9b024d9e8f5"
SRC_URI[sha256sum] = "0799db8ea1500b65a477421a8c930cc8c8b0bbc0596e55ea1601e2542f3fb0d9"

repository: overo/overo-oe-natty

repo_name: overo/overo-oe-natty


text:
p4c_add_xfail_reason("dpdk"
  "Duplicates declaration"
  testdata/p4_16_samples/psa-action-profile1.p4
  testdata/p4_16_samples/psa-action-profile2.p4
  testdata/p4_16_samples/psa-action-profile3.p4
  testdata/p4_16_samples/psa-action-profile4.p4
  testdata/p4_16_samples/psa-counter1.p4
  testdata/p4_16_samples/psa-counter2.p4
  testdata/p4_16_samples/psa-counter3.p4
  testdata/p4_16_samples/psa-counter4.p4
  testdata/p4_16_samples/psa-counter6.p4
  testdata/p4_16_samples/psa-custom-type-counter-index.p4
  testdata/p4_16_samples/psa-idle-timeout.p4
  testdata/p4_16_samples/psa-meter1.p4
  testdata/p4_16_samples/psa-meter3.p4
  testdata/p4_16_samples/psa-meter4.p4
  testdata/p4_16_samples/psa-meter5.p4
  testdata/p4_16_samples/psa-meter6.p4
  testdata/p4_16_samples/psa-test.p4
  testdata/p4_16_samples/psa-register1.p4
  )

p4c_add_xfail_reason("dpdk"
  "Unsupported parser loop"
  testdata/p4_16_samples/psa-example-digest-bmv2.p4
  testdata/p4_16_samples/psa-example-counters-bmv2.p4
  )

p4c_add_xfail_reason("dpdk"
  "Meter Not implemented"
  testdata/p4_16_samples/psa-meter7-bmv2.p4
  )

p4c_add_xfail_reason("dpdk"
  "error: AssignmentStatement"
  testdata/p4_16_samples/psa-multicast-basic-2-bmv2.p4
  testdata/p4_16_samples/psa-unicast-or-drop-bmv2.p4
  testdata/p4_16_samples/psa-example-parser-checksum.p4
  )

p4c_add_xfail_reason("dpdk"
  "Not Implemented"
  testdata/p4_16_samples/psa-example-register2-bmv2.p4
  testdata/p4_16_samples/psa-register-read-write-2-bmv2.p4
  testdata/p4_16_samples/psa-end-of-ingress-test-bmv2.p4
  )

p4c_add_xfail_reason("dpdk"
  "Not implemented"
  testdata/p4_16_samples/psa-random.p4
  )

p4c_add_xfail_reason("dpdk"
  "Error compiling"
  testdata/p4_16_samples/psa-recirculate-no-meta-bmv2.p4
  )

p4c_add_xfail_reason("dpdk"
  "get_hash's arg is not a ListExpression"
  testdata/p4_16_samples/psa-hash.p4
  )


text:
@Article{electronics10182208,
AUTHOR = {Ferlin, Maria Anna and Grochowski, Michał and Kwasigroch, Arkadiusz and Mikołajczyk, Agnieszka and Szurowska, Edyta and Grzywińska, Małgorzata and Sabisz, Agnieszka},
TITLE = {A Comprehensive Analysis of Deep Neural-Based Cerebral Microbleeds Detection System},
JOURNAL = {Electronics},
VOLUME = {10},
YEAR = {2021},
NUMBER = {18},
ARTICLE-NUMBER = {2208},
URL = {https://www.mdpi.com/2079-9292/10/18/2208},
ISSN = {2079-9292},
ABSTRACT = {Machine learning-based systems are gaining interest in the field of medicine, mostly in medical imaging and diagnosis. In this paper, we address the problem of automatic cerebral microbleeds (CMB) detection in magnetic resonance images. It is challenging due to difficulty in distinguishing a true CMB from its mimics, however, if successfully solved, it would streamline the radiologists work. To deal with this complex three-dimensional problem, we propose a machine learning approach based on a 2D Faster RCNN network. We aimed to achieve a reliable system, i.e., with balanced sensitivity and precision. Therefore, we have researched and analysed, among others, impact of the way the training data are provided to the system, their pre-processing, the choice of model and its structure, and also the ways of regularisation. Furthermore, we also carefully analysed the network predictions and proposed an algorithm for its post-processing. The proposed approach enabled for obtaining high precision (89.74%), sensitivity (92.62%), and F1 score (90.84%). The paper presents the main challenges connected with automatic cerebral microbleeds detection, its deep analysis and developed system. The conducted research may significantly contribute to automatic medical diagnosis.},
DOI = {10.3390/electronics10182208}
}

repository: mariaogryczak/mferlin

repo_name: mariaogryczak/mferlin

gha_language: Jupyter Notebook


text:
@article{newman,
    author={Newman, M. E. J.}
    year={2000},
    title={The structure of scientific collaboration networks}
}

@article{inertia,
    author={Ramasco, J. and Morris, S.},
    year={2006},
    title={Social inertia in collaboration networks},
    journal={Physical Review}
}

@article{performance,
    author={Abbasi, A. an Altmann, J.},
    year={2011},
    title={On the Correlation between Research Performance and Social Network Analysis Applied to Research Collaboration Networks},
    journal={Proceedings of the 44th Hawaii International Conference on System Sciences}
}

@article{smol,
    author={Watts, D. and Strogatz, S,},
    year={1998},
    title={Collective dynamics of 'small-world' networks},
    journal={Nature}
}

@misc{Python,
    title={Python 3.6.5 documentation},
    howpublished={\url{https://docs.python.org/3/}},
    publisher={Python Software Foundation}
}

@misc{HadoopPseudoDistWiki,
    title={Hadoop: Setting up a Single Node Cluster},
    howpublished={\url{https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.html}},
    publisher={The Apache Software Foundation}
}

@misc{HadoopClusterWiki,
    title={Hadoop Cluster Setup Wiki},
    howpublished={\url{https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/ClusterSetup.html}},
    publisher={The Apache Software Foundation}
}

@INPROCEEDINGS{macro_malware,
    author = {Sergio De los Santos and J{\`o}se Torres},
    title = {Macro Malware Detection using Machine Learning - A New Approach},
    year = {2017},
    month = {01},
    pages = {295--302},
    booktitle = {Proceedings of the 3rd International Conference on Information Systems Security and Privacy},
}

@article{android_malware,
    author={Karbab,EB and Debbabi,M. and Derhab,A. and Mouheb,D.},
    year={2018},
    title={MalDozer: Automatic framework for android malware detection using deep learning},
    journal={Digital Investigation},
    volume={24},
    pages={S48-S59},
    abstract={Android OS experiences a blazing popularity since the last few years. This predominant platform has established itself not only in the mobile world but also in the Internet of Things (IoT) devices. This popularity, however, comes at the expense of security, as it has become a tempting target of malicious apps. Hence, there is an increasing need for sophisticated, automatic, and portable malware detection solutions. In this paper, we propose MalDozer, an automatic Android malware detection and family attribution framework that relies on sequences classification using deep learning techniques. Starting from the raw sequence of the app's API method calls, MalDozer automatically extracts and learns the malicious and the benign patterns from the actual samples to detect Android malware. MalDozer can serve as a ubiquitous malware detection system that is not only deployed on servers, but also on mobile and even IoT devices. We evaluate MalDozer on multiple Android malware datasets ranging from 1 K to 33 K malware apps, and 38 K benign apps. The results show that MalDozer can correctly detect malware and attribute them to their actual families with an F1-Score of 96\%-99\% and a false positive rate of 0.06\%-2\%, under all tested datasets and settings. (c) 2018 The Author(s). Published by Elsevier Ltd on behalf of DFRWS.},
    keywords={Deep learning; COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS; COMPUTER SCIENCE, INFORMATION SYSTEMS; Malware; Mobile; Android; IoT},
    isbn={1742-2876},
    language={English}
}

@article{mal_ID,
    author={Tahan,G. and Rokach,L. and Shahar,Y.},
    year={2012},
    title={Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features},
    journal={Journal of Machine Learning Research},
    volume={13},
    pages={949-979},
    abstract={This paper proposes several novel methods, based on machine learning, to detect malware in executable files without any need for preprocessing, such as unpacking or disassembling. The basic method (Mal-ID) is a new static (form-based) analysis methodology that uses common segment analysis in order to detect malware files. By using common segment analysis, Mal-ID is able to discard malware parts that originate from benign code. In addition, Mal-ID uses a new kind of feature, termed meta-feature, to better capture the properties of the analyzed segments. Rather than using the entire file, as is usually the case with machine learning based techniques, the new approach detects malware on the segment level. This study also introduces two Mal-ID extensions that improve the Mal-ID basic method in various aspects. We rigorously evaluated Mal-ID and its two extensions with more than ten performance measures, and compared them to the highly rated boosted decision tree method under identical settings. The evaluation demonstrated that Mal-ID and the two Mal-ID extensions outperformed the boosted decision tree method in almost all respects. In addition, the results indicated that by extracting meaningful features, it is sufficient to employ one simple detection rule for classifying executable files.},
    keywords={ENSEMBLE; computer security; MALICIOUS EXECUTABLES; common segment analysis; MODELS; supervised learning; malware detection; CLASSIFICATION; AUTOMATION & CONTROL SYSTEMS; COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE},
    isbn={1532-4435},
    language={English}
}

@misc{pcode,
  author = {Bontchev, Vesselin},
  title = {pcodedmp},
  year = {2016},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/bontchev/pcodedmp}},
  commit = {ce62bb5cd84f9a85638702ae2c3574aa4d36d439}
}

 @phdthesis{Hall1998,
    address = {Hamilton, New Zealand},
    author = {M. A. Hall},
    school = {University of Waikato},
    title = {Correlation-based Feature Subset Selection for Machine Learning},
    year = {1998}
}

@INPROCEEDINGS{automated_malware,
    author={R. Bearden and D. C. T. Lo},
    booktitle={2017 IEEE International Conference on Big Data (Big Data)},
    title={Automated microsoft Office Macro Malware Detection Using Machine Learning},
    year={2017},
    volume={},
    number={},
    pages={4448-4452},
    keywords={data mining;feature selection;invasive software;macros;nearest neighbour methods;pattern classification;word processing;K-Nearest Neighbors machine learning algorithm;MS Office file;Microsoft Office files;VBA macro code;automated microsoft office macro malware detection;automating macro malware detection;cybersecurity threat;document engineering;improved data mining methods;legitimate MS Office files;malicious documents;Classification algorithms;Feature extraction;Machine learning algorithms;Malware;Security;Testing;Microsoft Office;machine learning;macro;malware;p-code},
    doi={10.1109/BigData.2017.8258483},
    ISSN={},
    month={Dec},
}

@article{palmer_2018,
    title={Hackers Using Recent Microsoft Office Vulnerabilities to Distribute Malware}, url={https://www.zdnet.com/article/hackers-are-using-recent-microsoft-office-vulnerabilities-to-distribute-malware/}, journal={ZDNet},
    author={Palmer, Danny},
    year={2018},
    month={Jan}
}

@Article{Kramer2010,
    author="Kramer, Simon
    and Bradfield, Julian C.",
    title="A General Definition of Malware",
    journal="Journal in Computer Virology",
    year="2010",
    month="May",
    day="01",
    volume="6",
    number="2",
    pages="105--114",
    abstract="We propose a general, formal definition of the concept of malware (malicious software) as a single sentence in the language of a certain modal logic. Our definition is general thanks to its abstract formulation, which, being abstract, is independent of---but nonetheless generally applicable to---the manifold concrete manifestations of malware. From our formulation of malware, we derive equally general and formal definitions of benware (benign software), anti-malware (``antibodies'' against malware), and medware (medical software or ``medicine'' for affected software). We provide theoretical tools and practical techniques for the detection, comparison, and classification of malware and its derivatives. Our general defining principle is causation of (in)correctness.",
    issn="1772-9904",
    doi="10.1007/s11416-009-0137-1",
    url="https://doi.org/10.1007/s11416-009-0137-1"
}

@misc{malware_example,
    title={Macro Malware},
    howpublished = {\url{https://www.microsoft.com/en-us/wdsi/threats/macro-malware}},
    publisher={Microsoft}
}

path: /LaTeX Final Report/citations.bib


text:
@inproceedings{APJFNN,
  title     = {Enhancing person-job fit for talent recruitment: An ability-aware neural network approach},
  author    = {Qin, Chuan and Zhu, Hengshu and Xu, Tong and Zhu, Chen and Jiang, Liang and Chen, Enhong and Xiong, Hui},
  booktitle = {The 41st international ACM SIGIR conference on research \& development in information retrieval},
  pages     = {25--34},
  year      = {2018}
}

@article{BPJFNN,
  title     = {Person-job fit: Adapting the right talent for the right job with joint representation learning},
  author    = {Zhu, Chen and Zhu, Hengshu and Xiong, Hui and Ma, Chao and Xie, Fang and Ding, Pengliang and Li, Pan},
  journal   = {ACM Transactions on Management Information Systems (TMIS)},
  volume    = {9},
  number    = {3},
  pages     = {1--17},
  year      = {2018},
  publisher = {ACM New York, NY, USA}
}

@inproceedings{chou2020based,
  title        = {Based on the application of AI technology in resume analysis and job recommendation},
  author       = {Chou, Yi-Chi and Yu, Han-Yen},
  booktitle    = {2020 IEEE International Conference on Computational Electromagnetics (ICCEM)},
  pages        = {291--296},
  year         = 2020,
  organization = {IEEE}
}

@inproceedings{IPJF,
  title     = {Towards effective and interpretable person-job fitting},
  author    = {Le, Ran and Hu, Wenpeng and Song, Yang and Zhang, Tao and Zhao, Dongyan and Yan, Rui},
  booktitle = {Proceedings of the 28th ACM International Conference on Information and Knowledge Management},
  pages     = {1883--1892},
  year      = {2019}
}

@inproceedings{MultiVeiwMatching,
  title     = {Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network},
  author    = {Bian, Shuqing and Chen, Xu and Zhao, Wayne Xin and Zhou, Kun and Hou, Yupeng and Song, Yang and Zhang, Tao and Wen, Ji-Rong},
  booktitle = {Proceedings of the 29th ACM International Conference on Information \& Knowledge Management},
  pages     = {65--74},
  year      = {2020}
}

@article{PJFNN,
  title     = {Person-job fit: Adapting the right talent for the right job with joint representation learning},
  author    = {Zhu, Chen and Zhu, Hengshu and Xiong, Hui and Ma, Chao and Xie, Fang and Ding, Pengliang and Li, Pan},
  journal   = {ACM Transactions on Management Information Systems (TMIS)},
  volume    = {9},
  number    = {3},
  pages     = {1--17},
  year      = {2018},
  publisher = {ACM New York, NY, USA}
}

@inproceedings{siamesematching,
  title     = {Matching resumes to jobs via deep siamese network},
  author    = {Maheshwary, Saket and Misra, Hemant},
  booktitle = {Companion Proceedings of the The Web Conference 2018},
  pages     = {87--88},
  year      = 2018
}

@inproceedings{transferMathcing,
  title     = {Domain adaptation for person-job fit with transferable deep global match network},
  author    = {Bian, Shuqing and Zhao, Wayne Xin and Song, Yang and Zhang, Tao and Wen, Ji-Rong},
  booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
  pages     = {4812--4822},
  year      = {2019}
}

@article{CIGmatching,
  title={Matching article pairs with graphical decomposition and convolutions},
  author={Liu, Bang and Niu, Di and Wei, Haojie and Lin, Jinghong and He, Yancheng and Lai, Kunfeng and Xu, Yu},
  journal={arXiv preprint arXiv:1802.07459},
  year={2018}
}


text:
@article{Greenwald2003,
author = {Greenwald, Anthony G and Nosek, Brian A and Banaji, Mahzarin R},
doi = {10.1037/0022-3514.85.2.197},
journal = {Journal of Personality and Social Psychology},
number = {2},
pages = {197--216},
title = {{Understanding and Using the Implicit Association Test: I. An Improved Scoring Algorithm}},
volume = {85},
year = {2003}
}

@article{ellithorpe2015,
  title={Preparation and analyses of implicit attitude measures: Challenges, pitfalls, and recommendations},
  author={Ellithorpe, Morgan E and Ewoldsen, David R and Velez, John A},
  journal={Communication Methods and Measures},
  volume={9},
  number={4},
  pages={233--252},
  year={2015},
  publisher={Taylor \& Francis},
doi = {10.1080/19312458.2015.1096330}
}
@article{Nosek2002,
author = {Nosek, Brian A. and Banaji, Mahzarin R. and Greenwald, Anthony G.},
doi = {10.1037/1089-2699.6.1.101},
journal = {Group Dynamics},
number = {1},
pages = {101--115},
pmid = {15240},
title = {{Harvesting implicit group attitudes and beliefs from a demonstration web site}},
volume = {6},
year = {2002}
}
@article{Greenwald1998,
author = {Greenwald, Anthony G and McGhee, Debbie E and Schwartz, Jordan L K},
doi = {10.1037/0022-3514.74.6.1464},
issn = {0022-3514},
journal = {Journal of Personality and Social Psychology},
number = {6},
pages = {1464--1480},
pmid = {9654756},
title = {{Measuring Individual Differences in Implicit Cognition: The Implicit Association Test}},
volume = {74},
year = {1998}
}
@article{karpinski2006,
author = {Karpinski, Andrew and Steinman, Ross B.},
doi = {10.1037/0022-3514.91.1.16},
journal = {Journal of Personality and Social Psychology},
keywords = {Associative processes,Implicit social cognition,Individual differences},
number = {1},
pages = {16--32},
pmid = {16834477},
title = {{The Single Category Implicit Association Test as a measure of implicit social cognition}},
volume = {91},
year = {2006}
}
@book{rsoft,
  title = {{R}: A Language and Environment for Statistical Computing},
  author = {{R Core Team}},
  organization = {R Foundation for Statistical Computing},
  address = {Vienna, Austria},
  year = {2018},
  url = {https://www.R-project.org/},
}
@article{gaw2017,
  title={Temporal stability of implicit and explicit measures: A longitudinal analysis},
  author={Gawronski, Bertram and Morrison, Mike and Phills, Curtis E and Galdi, Silvia},
  journal={Personality and Social Psychology Bulletin},
  volume={43},
  number={3},
  pages={300--312},
  year={2017},
  publisher={Sage Publications Sage CA: Los Angeles, CA},
doi ={10.1177/0146167216684131}
}
@article{dscoreapp,
	journal = {Journal of Open Source Software},
	doi = {10.21105/joss.01764},
	issn = {2475-9066},
	number = {42},
	publisher = {The Open Journal},
	title = {DscoreApp: An user-friendly
	for computing the {Implicit Association Test D-score}},
	url = {http://fisppa.psy.unipd.it/DscoreApp/},
	volume = {4},
	author = {Epifania, O M and Anselmi, Pasquale and Robusto, Egidio},
	pages = {1764},
	date = {2019-10-30},
	year = {2019},
	month = {10},
	day = {30},
}
 @Manual{shiny,
    title = {shiny: Web Application Framework for {R}},
    author = {Winston Chang and Joe Cheng and JJ Allaire and Yihui Xie and Jonathan McPherson},
    year = {2020},
    note = {R package version 1.4.0.1},
    url = {https://CRAN.R-project.org/package=shiny},
  }
@article{epifania2020,
title = {{A fairer comparison between the Implicit Association Test and the Single Category – Implicit Association Test}},
author = {Epifania, Ottavia M and Anselmi, Pasquale and Robusto, Egidio},
year = {2020},
journal={Testing, Psychometrics, Methodology in Applied Psychology},
volume =  {27},
number = {2},
pages = {207--220},
doi = {10.4473/TPM27.2.4}
}
@article{review,
author = {Epifania, Ottavia M and Robusto, Egidio and Anselmi, Pasquale},
title = {{Implicit social cognition through years: The Implicit Association Test at age 21}},
year = {2020},
month = {2},
url = {https://advance.sagepub.com/articles/Implicit\_social\_cognition\_through\_years\_The\_Implicit\_Association\_Test\_at\_age\_21/11914416},
doi = {10.31124/advance.11914416.v1}
}
@Book{ggplot2,
    author = {Hadley Wickham},
    title = {{ggplot2: Elegant Graphics for Data Analysis}},
    publisher = {Springer-Verlag New York},
    year = {2016},
    isbn = {978-3-319-24277-4},
    url = {https://ggplot2.tidyverse.org},
  }

repository: OttaviaE/implicitMeasures

repo_name: OttaviaE/implicitMeasures

gha_language: R


text:
body {
    background-color: #fff1e6;
    font-family: 'Trebuchet MS', 'Lucida Sans Unicode', 'Lucida Grande', 'Lucida Sans', Arial, sans-serif;
}

.team-heading {
    background-color: #b7b7a4;
    border-radius: 0%;
    padding: 20px 0;
}

.employee-card {
    background-color: #cb997e;
    margin: 0.5em;
    border-width: 2px;
    border-color: black;
}

.card-body {
    background-color: #f0efeb;
}

.list-group-item {
    background-color: #a5a58d;
}

a {
    color: #eddcd2;
}

a:hover {
    color: #ddbea9;
}

repository: Jack-Aaron/employee-summary

repo_name: Jack-Aaron/employee-summary


text:
@article{Fusion2017,
	abstract = {Physiological measures are widely studied from a medical point of view. Most applications lie in the field of diagnosis of heart attacks, as regards the ECG, or the detection of epileptic events, in the case of the EEG. In the last ten years, these signals are being investigated also from a biometric point of view, in order to exploit the discriminative capability provided by these measures in recognizing individuals. The present work proposes a multimodal biometric recognition system based on the fusion of the first lead (i) of the electrocardiogram (ECG) with six different bands of the electroencephalogram (EEG). The proposed approach is based on the extraction of fiducial features (peaks) from the ECG combined with spectrum features of the EEG. A dataset has been created, by composing the signals of two well-known databases. The results, reported by means of EER values, AUC values and ROC curves, show good recognition performances.},
	author = {Barra, Silvio and Casanova, Andrea and Fraschini, Matteo and Nappi, Michele},
	da = {2017/02/01},
	date-added = {2021-02-11 09:37:15 +0100},
	date-modified = {2021-02-11 09:37:15 +0100},
	doi = {10.1007/s11042-016-3796-1},
	id = {Barra2017},
	isbn = {1573-7721},
	journal = {Multimedia Tools and Applications},
	number = {4},
	pages = {4835--4847},
	title = {Fusion of physiological measures for multimodal biometric systems},
	ty = {JOUR},
	url = {https://doi.org/10.1007/s11042-016-3796-1},
	volume = {76},
	year = {2017},
	Bdsk-Url-1 = {https://doi.org/10.1007/s11042-016-3796-1}}