text:
year = {2013},
isbn = {9781450320351},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2488388.2488517},
doi = {10.1145/2488388.2488517},
abstract = {Different from a large body of research on social networks that has focused almost exclusively on positive relationships, we study signed social networks with both positive and negative links. Specifically, we focus on how to reliably and effectively predict the signs of links in a newly formed signed social network (called a target network). Since usually only a very small amount of edge sign information is available in such newly formed networks, this small quantity is not adequate to train a good classifier. To address this challenge, we need assistance from an existing, mature signed network (called a source network) which has abundant edge sign information. We adopt the transfer learning approach to leverage the edge sign information from the source network, which may have a different yet related joint distribution of the edge instances and their class labels.As there is no predefined feature vector for the edge instances in a signed network, we construct generalizable features that can transfer the topological knowledge from the source network to the target. With the extracted features, we adopt an AdaBoost-like transfer learning algorithm with instance weighting to utilize more useful training instances in the source network for model learning. Experimental results on three real large signed social networks demonstrate that our transfer learning algorithm can improve the prediction accuracy by 40% over baseline methods.},
booktitle = {Proceedings of the 22nd International Conference on World Wide Web},
pages = {1477–1488},
numpages = {12},
keywords = {transfer learning, sign prediction, signed social network},
location = {Rio de Janeiro, Brazil},
series = {WWW '13}
}

@inproceedings{10.1145/2488388.2488518,
author = {Zhang, Aonan and Zhu, Jun and Zhang, Bo},
title = {Sparse Online Topic Models},
year = {2013},
isbn = {9781450320351},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2488388.2488518},
doi = {10.1145/2488388.2488518},
abstract = {Topic models have shown great promise in discovering latent semantic structures from complex data corpora, ranging from text documents and web news articles to images, videos, and even biological data. In order to deal with massive data collections and dynamic text streams, probabilistic online topic models such as online latent Dirichlet allocation (OLDA) have recently been developed. However, due to normalization constraints, OLDA can be ineffective in controlling the sparsity of discovered representations, a desirable property for learning interpretable semantic patterns, especially when the total number of topics is large. In contrast, sparse topical coding (STC) has been successfully introduced as a non-probabilistic topic model for effectively discovering sparse latent patterns by using sparsity-inducing regularization. But, unfortunately STC cannot scale to very large datasets or deal with online text streams, partly due to its batch learning procedure. In this paper, we present a sparse online topic model, which directly controls the sparsity of latent semantic patterns by imposing sparsity-inducing regularization and learns the topical dictionary by an online algorithm. The online algorithm is efficient and guaranteed to converge. Extensive empirical results of the sparse online topic model as well as its collapsed and supervised extensions on a large-scale Wikipedia dataset and the medium-sized 20Newsgroups dataset demonstrate appealing performance.},
booktitle = {Proceedings of the 22nd International Conference on World Wide Web},
pages = {1489–1500},
numpages = {12},
keywords = {sparse latent representations, online learning, topic models, large-scale data},
location = {Rio de Janeiro, Brazil},
series = {WWW '13}
}

@inproceedings{10.1145/2488388.2488519,
author = {Zhang, Xi and Cheng, Jian and Yuan, Ting and Niu, Biao and Lu, Hanqing},
title = {TopRec: Domain-Specific Recommendation through Community Topic Mining in Social Network},
year = {2013},
isbn = {9781450320351},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2488388.2488519},
doi = {10.1145/2488388.2488519},
abstract = {Traditionally, Collaborative Filtering assumes that similar users have similar responses to similar items. However, human activities exhibit heterogenous features across multiple domains such that users own similar tastes in one domain may behave quite differently in other domains. Moreover, highly sparse data presents crucial challenge in preference prediction. Intuitively, if users' interested domains are captured first, the recommender system is more likely to provide the enjoyed items while filter out those uninterested ones. Therefore, it is necessary to learn preference profiles from the correlated domains instead of the entire user-item matrix. In this paper, we propose a unified framework, TopRec, which detects topical communities to construct interpretable domains for domain-specific collaborative filtering. In order to mine communities as well as the corresponding topics, a semi-supervised probabilistic topic model is utilized by integrating user guidance with social network. Experimental results on real-world data from Epinions and Ciao demonstrate the effectiveness of the proposed framework.},
booktitle = {Proceedings of the 22nd International Conference on World Wide Web},
pages = {1501–1510},
numpages = {10},
keywords = {collaborative filtering, probabilistic topic modeling, recommender systems, social network},
location = {Rio de Janeiro, Brazil},
series = {WWW '13}
}

@inproceedings{10.1145/2488388.2488520,
author = {Zhang, Yongfeng and Zhang, Min and Liu, Yiqun and Ma, Shaoping and Feng, Shi},
title = {Localized Matrix Factorization for Recommendation Based on Matrix Block Diagonal Forms},
year = {2013},
isbn = {9781450320351},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2488388.2488520},
doi = {10.1145/2488388.2488520},
abstract = {Matrix factorization on user-item rating matrices has achieved significant success in collaborative filtering based recommendation tasks. However, it also encounters the problems of data sparsity and scalability when applied in real-world recommender systems. In this paper, we present the Localized Matrix Factorization (LMF) framework, which attempts to meet the challenges of sparsity and scalability by factorizing Block Diagonal Form (BDF) matrices. In the LMF framework, a large sparse matrix is first transformed into Recursive Bordered Block Diagonal Form (RBBDF), which is an intuitionally interpretable structure for user-item rating matrices. Smaller and denser submatrices are then extracted from this RBBDF matrix to construct a BDF matrix for more effective collaborative prediction. We show formally that the LMF framework is suitable for matrix factorization and that any decomposable matrix factorization algorithm can be integrated into this framework. It has the potential to improve prediction accuracy by factorizing smaller and denser submatrices independently, which is also suitable for parallelization and contributes to system scalability at the same time. Experimental results based on a number of real-world public-access benchmarks show the effectiveness and efficiency of the proposed LMF framework.},
booktitle = {Proceedings of the 22nd International Conference on World Wide Web},
pages = {1511–1520},
numpages = {10},
keywords = {block diagonal form, matrix factorization, collaborative filtering, graph partitioning},
location = {Rio de Janeiro, Brazil},
series = {WWW '13}
}

@inproceedings{10.1145/2488388.2488521,
author = {Zhang, Yongzheng and Pennacchiotti, Marco},
title = {Predicting Purchase Behaviors from Social Media},
year = {2013},
isbn = {9781450320351},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2488388.2488521},
doi = {10.1145/2488388.2488521},
abstract = {In the era of social commerce, users often connect from e-commerce websites to social networking venues such as Facebook and Twitter. However, there have been few efforts on understanding the correlations between users' social media profiles and their e-commerce behaviors. This paper presents a system for predicting a user's purchase behaviors on e-commerce websites from the user's social media profile. We specifically aim at understanding if the user's profile information in a social network (for example Facebook) can be leveraged to predict what categories of products the user will buy from (for example eBay Electronics). The paper provides an extensive analysis on how users' Facebook profile information correlates to purchases on eBay, and analyzes the performance of different feature sets and learning algorithms on the task of purchase behavior prediction.},
booktitle = {Proceedings of the 22nd International Conference on World Wide Web},
pages = {1521–1532},
numpages = {12},
keywords = {recommender systems, e-commerce, social media, social commerce, social networks},
location = {Rio de Janeiro, Brazil},
series = {WWW '13}
}

@inproceedings{10.1145/2488388.2488522,
author = {Zhao, Yuchen and Sundaresan, Neel and Shen, Zeqian and Yu, Philip S.},
title = {Anatomy of a Web-Scale Resale Market: A Data Mining Approach},
year = {2013},
isbn = {9781450320351},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2488388.2488522},
doi = {10.1145/2488388.2488522},
abstract = {Reuse and remarketing of content and products is an integral part of the internet. As E-commerce has grown, online resale and secondary markets form a significant part of the commerce space. The intentions and methods for reselling are diverse. In this paper, we study an instance of such markets that affords interesting data at large scale for mining purposes to understand the properties and patterns of this online market.As part of knowledge discovery of such a market, we first formally propose criteria to reveal unseen resale behaviors by elastic matching identification (EMI) based on the account transfer and item similarity properties of transactions. Then, we present a large-scale system that leverages MapReduce paradigm to mine millions of online resale activities from petabyte scale heterogeneous e-commerce data. With the collected data, we show that the number of resale activities leads to a power law distribution with a 'long tail', where a significant share of users only resell in very low numbers and a large portion of resales come from a small number of highly active resellers. We further conduct a comprehensive empirical study from different aspects of resales, including the temporal, spatial patterns, user demographics, reputation and the content of sale postings. Based on these observations, we explore the features related to "successful" resale transactions and evaluate if they can be predictable. We also discuss uses of this information mining for business insights and user experience on a real-world online marketplace.},
booktitle = {Proceedings of the 22nd International Conference on World Wide Web},
pages = {1533–1544},
numpages = {12},
keywords = {behavioral analysis, prediction, ebay, big data, resale market, reseller, mapreduce, e-commerce},
location = {Rio de Janeiro, Brazil},
series = {WWW '13}
}

@inproceedings{10.1145/2488388.2488523,
author = {Zhao, Zhe and Mei, Qiaozhu},
title = {Questions about Questions: An Empirical Analysis of Information Needs on Twitter},
year = {2013},
isbn = {9781450320351},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2488388.2488523},
doi = {10.1145/2488388.2488523},
abstract = {Conventional studies of online information seeking behavior usually focus on the use of search engines or question answering (Q&A) websites. Recently, the fast growth of online social platforms such as Twitter and Facebook has made it possible for people to utilize them for information seeking by asking questions to their friends or followers. We anticipate a better understanding of Web users' information needs by investigating research questions about these questions. How are they distinctive from daily tweeted conversations? How are they related to search queries? Can users' information needs on one platform predict those on the other?In this study, we take the initiative to extract and analyze information needs from billions of online conversations collected from Twitter. With an automatic text classifier, we can accurately detect real questions in tweets (i.e., tweets conveying real information needs). We then present a comprehensive analysis of the large-scale collection of information needs we extracted. We found that questions being asked on Twitter are substantially different from the topics being tweeted in general. Information needs detected on Twitter have a considerable power of predicting the trends of Google queries. Many interesting signals emerge through longitudinal analysis of the volume, spikes, and entropy of questions on Twitter, which provide insights to the understanding of the impact of real world events and user behavioral patterns in social platforms.},
booktitle = {Proceedings of the 22nd International Conference on World Wide Web},
pages = {1545–1556},
numpages = {12},
keywords = {time series analysis, information need, twitter},
location = {Rio de Janeiro, Brazil},
series = {WWW '13}
}

@inproceedings{10.1145/2488388.2488524,
author = {Zhou, Ke and Cummins, Ronan and Lalmas, Mounia and Jose, Joemon M.},
title = {Which Vertical Search Engines Are Relevant?},
year = {2013},
isbn = {9781450320351},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2488388.2488524},
doi = {10.1145/2488388.2488524},
abstract = {Aggregating search results from a variety of heterogeneous sources, so-called verticals, such as news, image and video, into a single interface is a popular paradigm in web search. Current approaches that evaluate the effectiveness of aggregated search systems are based on rewarding systems that return highly relevant verticals for a given query, where this relevance is assessed under different assumptions. It is difficult to evaluate or compare those systems without fully understanding the relationship between those underlying assumptions. To address this, we present a formal analysis and a set of extensive user studies to investigate the effects of various assumptions made for assessing query vertical relevance. A total of more than 20,000 assessments on 44 search tasks across 11 verticals are collected through Amazon Mechanical Turk and subsequently analysed. Our results provide insights into various aspects of query vertical relevance and allow us to explain in more depth as well as questioning the evaluation results published in the literature.},
booktitle = {Proceedings of the 22nd International Conference on World Wide Web},
pages = {1557–1568},
numpages = {12},
keywords = {vertical selection, relevance assessment, user study, evaluation, aggregated search},
location = {Rio de Janeiro, Brazil},
series = {WWW '13}
}

@inproceedings{10.1145/2488388.2488525,
author = {Zhou, Yujiao and Cuenca Grau, Bernardo and Horrocks, Ian and Wu, Zhe and Banerjee, Jay},
title = {Making the Most of Your Triple Store: Query Answering in OWL 2 Using an RL Reasoner},
year = {2013},
isbn = {9781450320351},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2488388.2488525},
doi = {10.1145/2488388.2488525},
abstract = {Triple stores implementing the RL profile of OWL 2 are becoming increasingly popular. In contrast to unrestricted OWL 2, the RL profile is known to enjoy favourable computational properties for query answering, and state-of-the-art RL reasoners such as OWLim and Oracle's native inference engine of Oracle Spatial and Graph have proved extremely successful in industry-scale applications. The expressive restrictions imposed by OWL 2 RL may, however, be problematical for some applications. In this paper, we propose novel techniques that allow us (in many cases) to compute exact query answers using an off-the-shelf RL reasoner, even when the ontology is outside the RL profile. Furthermore, in the cases where exact query answers cannot be computed, we can still compute both lower and upper bounds on the exact answers. These bounds allow us to estimate the degree of incompleteness of the RL reasoner on the given query, and to optimise the computation of exact answers using a fully-fledged OWL 2 reasoner. A preliminary evaluation using the RDF Semantic Graph feature in Oracle Database has shown very promising results with respect to both scalability and tightness of the bounds.},
booktitle = {Proceedings of the 22nd International Conference on World Wide Web},
pages = {1569–1580},
numpages = {12},
keywords = {triple store, ontologies, semantic web},
location = {Rio de Janeiro, Brazil},
series = {WWW '13}
}

@inproceedings{10.1145/2488388.2488526,
author = {Zhu, Bin B. and Wei, Dongchen and Yang, Maowei and Yan, Jeff},
title = {Security Implications of Password Discretization for Click-Based Graphical Passwords},
year = {2013},
isbn = {9781450320351},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2488388.2488526},
doi = {10.1145/2488388.2488526},
abstract = {Discretization is a standard technique used in click-based graphical passwords for tolerating input variance so that approximately correct passwords are accepted by the system. In this paper, we show for the first time that two representative discretization schemes leak a significant amount of password information, undermining the security of such graphical passwords. We exploit such information leakage for successful dictionary attacks on Persuasive Cued Click Points (PCCP), which is to date the most secure click-based graphical password scheme and was considered to be resistant to such attacks. In our experiments, our purely automated attack successfully guessed 69.2% of the passwords when Centered Discretization was used to implement PCCP, and 39.4% of the passwords when Robust Discretization was used. Each attack dictionary we used was of approximately 235 entries, whereas the full password space was of 243 entries. For Centered Discretization, our attack still successfully guessed 50% of the passwords when the dictionary size was reduced to approximately 230 entries. Our attack is also applicable to common implementations of other click-based graphical password systems such as PassPoints and Cued Click Points -- both have been extensively studied in the research communities.},
booktitle = {Proceedings of the 22nd International Conference on World Wide Web},
pages = {1581–1591},
numpages = {11},
keywords = {graphical passwords, authentication, dictionary attack, discretization},
location = {Rio de Janeiro, Brazil},
series = {WWW '13}
}

license: Unlicense

repository: goyalkaraniit/acm-cr

repo_name: goyalkaraniit/acm-cr


text:
@InProceedings{schneider16,
  supplementary = {Supplementary:schneider16-supp.pdf},
  title = {Probability Inequalities for Kernel Embeddings in Sampling without Replacement},
  author = {Schneider, Markus},
  pages = {66-74},
  abstract = {The \emph{kernel embedding of distributions} is a popular machine learning technique to manipulate probability distributions and an integral part of numerous applications. Its empirical counterpart is an estimate from a finite dataset of samples from the distribution under consideration. However, for large-scale learning problems the empirical kernel embedding becomes infeasible to compute and approximate, constant time, solutions are necessary. Instead of the full dataset, a random subset of smaller size can be used to calculate the empirical kernel embedding, known as \emph{sampling without replacement}. In this work we generalize the results of (Serfling 1974) to quantify the difference between this two estimates. We derive probability inequalities for the kernel embedding and more general inequalities for Banach space valued martingales in the setting of sampling without replacement.},
}

license: MIT

repository: mreid/papersite

license_type: permissive

repo_name: mreid/papersite

branch_name: refs/heads/master

gha_license_id: MIT

gha_language: TeX

extension: bib


text:
@book{wasserman2006all,
  title={All of nonparametric statistics},
  author={Wasserman, Larry},
  year={2006},
  publisher={Springer Science \& Business Media}
}

repository: sara-venkatraman/LaTeX-Templates

path: /Research Paper/TeX/References.bib

repo_name: sara-venkatraman/LaTeX-Templates


text:
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  --light-blue: #b9d4db;
  --dark-orange: #e9765b;
  --light-orange: #f2a490;
  --dark-pink: #de5b6d;
  --green: #18a558;
  --ivory: #f9f7f4;
  --black: #202020;
  --dark-gray: #474747;
}
* {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
}

body {
  font-family: 9px "Poppins", sans-serif;
}

html {
  scroll-behavior: smooth;
}

/* NAVBAR STYLE */
a,
.logo-container a,
.right-nav a {
  color: var(--black);
  text-decoration: none !important;
}

a:hover,
.logo-container a:hover,
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  color: var(--dark-gray) !important;
  text-decoration: none;
}

.nav-container {
  margin: auto;
  padding: 0.5em 1em;
  display: flex;
  justify-content: center;
  color: var(--black);
}

.search-container {
  width: 70%;
}
.right-nav {
  font-size: 16px;
  display: flex;
  flex-direction: row;
  justify-content: flex-end;
  align-items: center;
  margin-left: auto !important;
  padding-left: auto !important;
}

.right-nav ul li {
  display: inline;
  padding: 0.3em;
}

.logo-container {
  display: flex;
  flex-direction: row;
  justify-content: center;
  transform: translateX(3em);
}
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  display: flex;
  flex-direction: row;
  justify-content: center;
}

.logo-title {
  font-weight: 600;
  margin: 4px 1px;
}

.logo-img {
  max-height: 3em;
}

/* CATEGORIES NAVBAR */

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}

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}

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}

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  transition: transform 250ms ease-in-out;
  font-size: 14px;
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  background-position: 95% center;
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  transform-style: preserve-3d;
}

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  letter-spacing: 1.5px;
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.search-input:focus {
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  background-position: 100% center;
}

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  -webkit-transition: all 0.2s linear;
}
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}

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  border-radius: 55%;
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  transition: all 0.2s linear;
}

.fa-chevron-circle-right:hover {
  transform: scale(1.4);
}

hr.gradient-style {
  border: 0;
  height: 1px;
  background-image: linear-gradient(
    to right,
    rgba(0, 0, 0, 0),
    rgba(0, 0, 0, 0.75),
    rgba(0, 0, 0, 0)
  );
  margin: 1em auto;
}

/* PRODUCTS INDEX PAGE */

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  color: var(--black);
  text-decoration: none;
}

.title-link:hover {
  color: var(--dark-gray);
  text-decoration: none;
}

.button-style {
  background-color: var(--dark-blue);
  color: var(--ivory) !important;
}

.button-style:hover {
  background-color: var(--light-blue);
  color: var(--black) !important;
}

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  background-color: var(--dark-orange);
  color: var(--ivory) !important;
}

.button-style-danger:hover {
  background-color: var(--light-orange);
  color: var(--black) !important;
}

.price {
  color: var(--dark-pink);
  font-weight: bold;
  font-size: 20px;
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}

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  text-align: center;
}

.product-index-box .btn {
  width: 90%;
  margin: 0.3em auto;
}

.product-index-box img {
  width: 90%;
  height: 20em;
  object-fit: cover;
  border: 1px solid #c2c2c2;
  border-radius: 5px;
}

/* BANNER IMAGE */
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  display: grid;
  overflow: hidden;
}

.hero-image,
.hero-text {
  grid-column: 1;
  grid-row: 1;
}

.hero-text {
  color: white;
  text-align: center;
  padding-top: 10%;
  background-image: linear-gradient(rgba(0, 0, 0, 0.5), rgba(0, 0, 0, 0.5));
}

/* SINGLE PRODUCT PAGE */

.product-img {
  border: 1px solid var(--dark-gray);
  border-radius: 7px;
}

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}

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}

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  font-size: 25px;
  margin: 2px;
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}

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  padding-top: 0.3em;
}

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ul {
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}

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}
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  margin-right: 1em;
}
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}
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  color: whitesmoke;
  text-transform: uppercase;
  margin-bottom: 0.3em;
}
#contact {
  text-align: left;
  vertical-align: middle;
  align-items: center;
  color: var(--ivory);
  background-color: var(--black);
  padding: 1em 1em 0.2em 1em;
  border-bottom: 5px var(--dark-blue) solid;
}
.bottom-footer {
  font-size: 14px;
  padding: 1em 1.5em;
  color: var(--ivory);
  background-color: #1a1a1a;
}

#page-container {
  position: relative;
  min-height: 100vh;
}

#content-wrap {
  padding-bottom: 2.5rem;
}

footer {
  position: absolute;
  bottom: 0;
  width: 100%;
  height: 2.5rem;
}

/* STRIPE ELEMENTS FOR CARD PAYMENT */
.StripeElement {
  box-sizing: border-box;
  width: 100%;
  height: 40px;
  margin-bottom: 6px;
  padding: 10px 12px;

  border: 1px solid rgb(207, 207, 207);
  border-radius: 4px;
  background-color: white;

  box-shadow: 0 1px 3px 0 #e6ebf1;
  -webkit-transition: box-shadow 150ms ease;
  transition: box-shadow 150ms ease;
}

.StripeElement--focus {
  box-shadow: 0 1px 3px 0 #cfd7df;
}

.StripeElement--invalid {
  border-color: #fa755a;
}

.StripeElement--webkit-autofill {
  background-color: #fefde5 !important;
}

/* MEDIA QUERY */
/* XS SCREENS */
@media only screen and (max-width: 576px) {
  .card img {
    height: 17em;
  }
  .controls-top h3 {
    font-size: 20px;
  }
  .controls-top .fa {
    font-size: 12px;
  }
  .hero-text h1 {
    font-size: 25px;
  }
}

/* SM SCREENS */
@media only screen and (max-width: 768px) {
  .right-nav {
    justify-content: center;
  }
  .search-container {
    width: 80%;
    margin: auto;
  }
  .logo-container {
    transform: translateX(0em);
    margin: 0.5em auto;
  }
  .white-links {
    margin-left: 0px;
  }
  .hero-text {
    padding-top: 8%;
  }
}

/* MD SCREENS */
@media only screen and (min-width: 768px) and (max-width: 992px) {
  .col-md-3 {
    margin: 10px;
  }
  .circle-img {
    width: 150px;
    height: 150px;
  }
}

repository: vishveshparashar/Ageero-Node

repo_name: vishveshparashar/Ageero-Node

branch_name: refs/heads/main

extension: css


text:
@article{blecic98,
title = {Using Transaction Log Analysis to Improve {OPAC} Retrieval Results},
author = {Blecic, Deborah D. and Bangalore, Nirmala S. and Dorsch, Josephine L.
  and Henderson, Cynthia L. and Koenig, Melissa H. and Weller, Ann C.},
journal = {College and Research Libraries},
volume = {59},
number = {1},
pages = {39-50},
year = {1998}
}

@book{hancock90,
  title={Evaluation of Online Catalogues: An Assessment of Methods},
  author={Hancock-Beaulieu, M. and Robertson, S. and Neilson, C. and British Library. Research and Development Dept},
  isbn={9780712332262},
  lccn={gb90016449},
  issn={0269-9257},
  series={British Library Research Paper},
  url={http://books.google.fr/books?id=BgaRQgAACAAJ},
  year={1990},
  publisher={British Library Research and Development Department}
}


text:
@inproceedings{hoopl,
  author = {Ramsey, Norman and Dias, Jo\~{a}o and Peyton Jones, Simon},
  title = {Hoopl: A Modular, Reusable Library for Dataflow Analysis and Transformation},
  booktitle = {Proceedings of the Third ACM Haskell Symposium on Haskell},
  series = {Haskell '10},
  year = {2010},
  isbn = {978-1-4503-0252-4},
  location = {Baltimore, Maryland, USA},
  pages = {121--134},
  numpages = {14},
  url = {http://doi.acm.org/10.1145/1863523.1863539},
  doi = {10.1145/1863523.1863539},
  acmid = {1863539},
  publisher = {ACM},
  address = {New York, NY, USA},
  keywords = {dataflow},
}
@other{dmd,
  author = {Peyton Jones, Simon and Sestoft, Peter and Hughes, John},
  title = {Demand Analysis},
  year = {2006},
  month = {July},
  url = {https://www.microsoft.com/en-us/research/publication/demand-analysis/},
}


text:
@INPROCEEDINGS{citypersons,
  author={Zhang, Shanshan and Benenson, Rodrigo and Schiele, Bernt},
  booktitle={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  title={CityPersons: A Diverse Dataset for Pedestrian Detection},
  year={2017},
  volume={},
  number={},
  pages={4457-4465},
  doi={10.1109/CVPR.2017.474}}

@ARTICLE{elephant,
       author = {{Hasan}, Irtiza and {Liao}, Shengcai and {Li}, Jinpeng and {Ullah Akram}, Saad and {Shao}, Ling},
        title = "{Generalizable Pedestrian Detection: The Elephant In The Room}",
      journal = {arXiv e-prints},
     keywords = {Computer Science - Computer Vision and Pattern Recognition},
         year = 2020,
        month = mar,
          eid = {arXiv:2003.08799},
        pages = {arXiv:2003.08799},
archivePrefix = {arXiv},
       eprint = {2003.08799},
 primaryClass = {cs.CV},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020arXiv200308799H},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

repository: bjoernehlers/pedestrian-detection

repo_name: bjoernehlers/pedestrian-detection


text:
/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
 *
 * MoonCake v1.3.1 - Customizer Stylesheet
 *
 * This file is part of MoonCake, an Admin template build for sale at ThemeForest.
 * For questions, suggestions or support request, please mail me at maimairel@yahoo.com
 *
 * Development Started:
 * July 28, 2012
 * Last Update:
 * December 07, 2012
 *
 */

/* Wrapper
================================================== */

#customizer
{
    position: fixed;
    z-index: 10000;
    bottom: 150px;
    width: 235px;
    left: -236px;
    background-color: #fff;
    padding: 5px;

    -webkit-box-sizing: border-box;
    -moz-box-sizing: border-box;
    -ms-box-sizing: border-box;
    box-sizing: border-box;

    -webkit-border-radius: 0 3px 0 0;
    -moz-border-radius: 0 3px 0 0;
    border-radius: 0 3px 0 0;

    border: 1px solid #ccc;
    border-left: 0;
}

#customizer #showButton
{
    cursor: pointer;
    width: 40px; height: 40px;
    background-color: #fff;
    position: absolute;
    right: -41px;
    bottom: -1px;
    border: 1px solid #ccc;
    border-left: 0;
    font-size: 24px;
    text-align: center;
    line-height: 40px;

    -webkit-border-radius: 0 3px 3px 0;
    -moz-border-radius: 0 3px 3px 0;
    border-radius: 0 3px 3px 0;
}

#customizer #layoutMode
{
    display: block;
    padding: 5px 0;
}

#customizer #pattern-list
{
    background: url(../images/preloaders/1.gif) no-repeat center center;
    min-height: 40px;
}

#customizer #pattern-list.patterns-loaded
{
    background-image: none;
}

#customizer #pattern-list ul,
#customizer #pattern-list li
{
    margin: 0;
    list-style: none;
}

#customizer #pattern-list ul
{
    display: none;
    float: left;
}

#customizer #pattern-list.patterns-loaded ul
{
    display: block;
}

#customizer #pattern-list ul li
{
    float: left;
    width: 22px;
    height: 22px;
    margin: 2px;
    border: 1px solid #ddd;
    cursor: pointer;
    display: block;
}

#style-changer
{
    position: fixed;
    background-color: #fff;
    bottom: 10px;
    left: 0;
    z-index: 10000;
    border: 1px solid #ccc;
}

#style-changer a
{
    background: url(../images/vlabels.png) no-repeat -38px 10px;
    width: 18px;
    height: 116px;
    padding: 9px;
    display: block;
}

@media (max-width: 480px)
{
    #customizer,
    #style-changer
    {
        display: none;
    }
}

repository: kareemaly/qbrando

repo_name: kareemaly/qbrando


text:
require linux.inc

DESCRIPTION = "Linux kernel"
KERNEL_IMAGETYPE ?= "zImage"

COMPATIBLE_MACHINE = "(dominion-old|beast|macbook|soekris-net6501|arietta-g25|macbook)"

FILESPATH =. "${FILE_DIRNAME}/linux-dominion-4.3:${FILE_DIRNAME}/linux-dominion-4.3/${MACHINE}:"

S = "${WORKDIR}/git"

PV = "4.3.3"

SRC_URI = "git://git.kernel.org/pub/scm/linux/kernel/git/stable/linux-stable.git;branch=linux-4.3.y"
SRCREV_pn-${PN} = "35483418917d63df90bae5b2d0b7b047d7ed8ec7"

SRC_URI += " \
             file://defconfig \
             file://0001-wireless-populate-db.txt.patch \
             file://0002-btusb-add-USB-ID-for-ASUS-X79-DELUXE-onboard-BT.patch \
             file://0003-block-cgroups-kconfig-build-bits-for-BFQ-v7r8-4.3.patch \
             file://0004-block-introduce-the-BFQ-v7r8-I-O-sched-for-4.3.patch \
             file://0005-block-bfq-add-Early-Queue-Merge-EQM-to-BFQ-v7r8-for-.patch \
             file://0006-Acme-boards-patches.patch \
             file://0007-ARM-DTS-arietta-G25-ttyS2-SPI0-ADC-on-expansion-head.patch \
             file://0008-ARM-DTS-acme-arietta-use-button-as-power-button.patch \
             file://0009-ARM-DTS-acme-arietta-drop-chosen-node.patch \
           "

repository: sivaraml/meta-dominion

repo_name: sivaraml/meta-dominion

extension: bb


text:
@article{ernest2009changes,
 author = {Ernest, SK and White, Ethan P and Brown, James H},
 journal = {Ecology letters},
 number = {6},
 pages = {507--515},
 publisher = {Wiley Online Library},
 title = {Changes in a tropical forest support metabolic zero-sum dynamics},
 volume = {12},
 year = {2009}
}

repository: weecology/website

repo_name: weecology/website


text:
/* lg */
@media (min-width: 1200px) {
	.visa-navbar .navbar-nav {
    	float: right;
	}
}
/* md */
@media (min-width: 992px) and (max-width: 1199px) {
	.container {
    	padding-left: 3rem;
    	padding-right: 3rem;
		width: 100%;
	}

	.visa-navbar .navbar-nav {
   		 font-size: 1.6rem;
	}

   .visa-navbar .visa-logo {
    height: 3.2rem;
    }
	.visa-navbar .navbar-nav {
    	float: right;
	}

}
/* sm */
@media (min-width: 768px) and (max-width: 991px) {

	.container {
    	padding-left: 2rem;
    	padding-right: 2rem;
    	width: 100%;
	}
	.visa-navbar .navbar-nav {
    	float: right;
	}
	.visa-navbar .visa-logo {
    	height: 2.5rem;
	}

	.visa-navbar .navbar-nav {
   		 font-size: 1.3rem;
	}
    .search-icon {
    	font-size: 22px;
	}

	.visa-navbar .navbar-nav .nav-icon-left-line {
    	margin-left: 1rem;
    	margin-right: 1.5rem;
    	margin-top: -0.3rem;
    	height: 4.5rem;
	}

	.nav>li>a {
		padding: 0 8px;
		padding-top: 2rem;
	}
	.visa-navbar .navbar-nav .search-nav-item {
    	padding-top: 1.5rem;
	}

	.visa-navbar .tier-menu {
    	top: 7.4rem;
	}

	.visa-navbar .sub-menu .subNav-icon {
    	font-size: 2.5rem;
    	padding: 10px 0;
	}
	.visa-navbar .sub-menu .subNav-label {
		padding-top: 0.7rem;
    	font-size: 1.3rem;
	}

	.tier-menu .nav>li>a {
       padding: 0 1.6rem;
    }

}
/* xs */
@media (max-width: 767px) {
	header {
    	margin: -5px;
	}
	.search-icon {
    	font-size: 22px;
		padding: 5px 0;
		padding-left: 12px;
    	border-left: 1px solid rgba(255,255,255,0.25);
	}
	.navbar-toggle .nav-icon-btn {
    color: #fff;
    font-size: 2.5rem;
    }

   .navbar-pull-right {
   		padding-right: 0;
   		padding-top: 1.5rem;
   		margin-right: 0;
   }

	.xs-hidden {
    	display: none !important;
	}
	.xs-show {
		display: block !important;
	}

	.visa-navbar .nav>li {
      position: static;
      display: block;

	}

	.visa-navbar>.container .navbar-brand {
    	margin-top: 1.8rem;
    	padding-top: .5rem;
	}
	.visa-navbar .visa-logo {
	    height: 25px;
	}
	.navbar-nav>li>a {
	    color: #333;
	    font-size: 2.2rem;
	    padding-top: 10px;
	    padding-bottom: 10px;

	}
	.navbar-nav>li>a:hover, .navbar-nav>li>a:focus {
	    color: #000;
	}
	.visa-navbar .nav-mobile {
	    margin-bottom: 0;
	}
	.visa-navbar .nav-mobile {

	    background-color: #fff;
	    margin: 0 -12px;
	}
	.visa-navbar .nav-mobile >li {
	    border-bottom: .1rem solid #dedede;
	    padding: 2rem 0;
	    background-color: #fff;
	    margin: 0 15px;
	}
	.visa-navbar .nav-mobile >li:last-child {
	    border-bottom: 0;
	}
	.visa-navbar .nav-mobile li a:hover,
	.visa-navbar .nav-mobile li a:focus
	{
		background-color: transparent;
	}
	.navline .nav-indicator-bar {
	    position: absolute;
	    top: 70px;
	    height: 5px;
	}
	.nav-mobile .link-arrow::before {
		font-family: FontAwesome;
		content: '\f105';
	    color: #1a1f71;
	    font-size: 2.5rem;
	    line-height: 1;
	    padding-right: 10px;
	    position: relative;
	}

	.nav-mobile .dropdown.open .link-arrow::before {
	    content: '\f107';
	}

	.nav-mobile .dropdown .dropdown-menu {
		background-color: #f7f7f7;
	    border-top: .1rem solid #dedede;
	    border-bottom: .1rem solid #dedede;
	    border-radius: 0;
	    width: 100%;
	    padding: 1rem 1.5rem;
	    max-width: 100%;
	    box-sizing: content-box;
	    margin: 0 -15px;
	    margin-top: 20px;
	    margin-bottom: -21px;
	}
	.nav-mobile .dropdown .dropdown-menu li {
	    padding: 0.9rem 0;
	    margin: 0 22px;
	    font-size: 1.9rem;
	    font-weight: 200;
	    font-family: 'Roboto-light', sans-serif, Tahoma;
	    color: #1a1f71;
	}

	.slider-container {
	    background-size:cover;
	    background-position:right top;
	}

	.visa-navbar .navbar-toggle.collapsed .fa-times {
	    display: none;
	}

	.visa-navbar .navbar-toggle .fa-times {
	    display: block;
	}

	.visa-navbar .navbar-toggle .fa-bars {
	    display: none;
	}

	.visa-navbar .navbar-toggle.collapsed .fa-bars {
	    display: block;
	}

	.visa-navbar .tier-menu {
	    	top: 7.4rem;
	}
	.btn-search {
		background-color: #fff;
	}
	.btn-search:focus {
		outline: none;
	}
	.p-l-30 {
		padding-left: 4rem !important;
	}

}


text:
@article{white_eliciting_2007,
	title = {Eliciting and using expert opinions about dropout bias in randomized controlled trials},
	volume = {4},
	issn = {1740-7745},
	doi = {10.1177/1740774507077849},
	abstract = {{BACKGROUND}: The analysis of clinical trials with dropout usually assumes the missing data are ;missing at random', i.e. given an individual's past observed data, their probability of dropout does not depend on their present outcome. However, in many settings this assumption is implausible, so it is sensible to assess the robustness of conclusions to departures from missing at random.
{PURPOSE}: To develop a practical, accessible, approach that allows expert opinions about the degree of departure from missing at random in the analysis of a clinical trial to be meaningfully and accurately elicited and incorporated in sensitivity analysis.
{METHODS}: We elicit experts' prior beliefs about the mean difference between missing and observed outcomes in each trial arm. Then we perform a Bayesian synthesis of the information in the trial data with that in the experts' prior, using (i) a full Bayesian analysis for which we give {WinBUGS} code, and (ii) a simple approximate formula for the estimated treatment effect and its standard error. We illustrate our approach by re-analysing a recent trial of interventions to improve the quality of peer review.
{RESULTS}: In the peer review trial, the approximate formula agreed well with the full Bayesian analysis, and both showed substantially larger standard errors than an analysis assuming missing at random.
{LIMITATIONS}: Strictly, the method is only applicable if the outcome is normally distributed. We did not elicit the full bivariate prior distribution, and instead used a sensitivity analysis. Our approach is not designed to incorporate prior beliefs about the intervention effect itself.
{CONCLUSIONS}: Our proposed approach allows for the greater uncertainty introduced by missing data that are potentially informatively missing. It can therefore claim to be a truly conservative method, unlike methods such as ;last observation carried forward'. It is practical and accessible to non-statisticians. It should be considered as part of the design and analysis of future clinical trials.},
	pages = {125--139},
	number = {2},
	journaltitle = {Clinical Trials (London, England)},
	shortjournal = {Clin Trials},
	author = {White, Ian R. and Carpenter, James and Evans, Stephen and Schroter, Sara},
	date = {2007},
	pmid = {17456512}
}

repository: pmean/build-website

repo_name: pmean/build-website


text:
@font-face {
    font-family:'Eurostile';
    src: url('/fonts/EurostileLTStd_gdi.eot');
    src: url('/fonts/EurostileLTStd_gdi.eot?#iefix') format('embedded-opentype'),
        url('/fonts/EurostileLTStd_gdi.woff') format('woff'),
        url('/fonts/EurostileLTStd_gdi.ttf') format('truetype'),
        url('/fonts/EurostileLTStd_gdi.svg#EurostileLTStd') format('svg');
    font-weight: normal;
    font-style: normal;
    font-stretch: normal;
    unicode-range: U+0020-25CA;
}

@font-face {
    font-family:'Eurostile';
    src: url('/fonts/EurostileLTStd-Bold_gdi.eot');
    src: url('/fonts/EurostileLTStd-Bold_gdi.eot?#iefix') format('embedded-opentype'),
        url('/fonts/EurostileLTStd-Bold_gdi.woff') format('woff'),
        url('/fonts/EurostileLTStd-Bold_gdi.ttf') format('truetype'),
        url('/fonts/EurostileLTStd-Bold_gdi.svg#EurostileLTStd-Bold') format('svg');
    font-weight: bold;
    font-style: normal;
    font-stretch: normal;
    unicode-range: U+0020-25CA;
}

body, html {
    margin: 0;
    background: #212121;
    background-image: url("/images/grid.png"), url("/images/background.jpg");
    font-family: "Eurostile", Arial, sans-serif;
    font-size: 1em;
    color: #FF7000;
    width: 100%;
    height: 100%;
    transition: all .2s;
}

* {
    box-sizing: border-box;
}

header {
    height: 81px;
    line-height: 81px;
    background: rgba(0, 0, 0, .4);
    padding: 0 2em;
    position: fixed;
    top: 0;
    right: 0;
    z-index: 2;
    width: 100%;
    vertical-align: middle;
}

header a {
    line-height: 80px;
    color: #FF7000;
    text-decoration: none;
}

header img {
    height: 60px;
    width: auto;
    vertical-align: middle;
}

header .search {
    width: 200px;
    display: inline-block;
    position: relative;
    width: 200px;
    margin-left: 100px;
}

header .search .fa {
    position: absolute;
}

header .search .fa-search {
    left: 5px;
    top: 50%;
    transform: translate(0, -50%);
}

header .search input {
    display: block;
    width: 100%;
    background: transparent;
    border: 0;
    height: 2em;
    padding-left: 2em;
    position: relative;
    z-index: 1;
    border: 1px solid #FF7000;
    margin: 0;
    color: white;
}

h1 {
    font-size: 2em;
}

h2 {
    font-size: 1em;
}

h3 {
    font-size: .8em;
}

h1, h2, h3 {
    margin: 0;
    font-family: "Eurostile", Arial, sans-serif;
}

.main {
    height: 100%;
    padding: 122px 40px 40px 40px;
    overflow: auto;
}

.row {
    display: table;
    flex-direction: row;
    position: relative;
}

.column {
    display: table-cell;
    flex-direction: column;
    position: relative;
}

.ship {
    cursor: pointer;
    position: relative;
    margin-right: 42px;
    margin-bottom: 42px;
    min-width: 100px;
    max-width: 163px;
}

.ship > .image {
    height: 82px;
    width: 163px;
    background-size: cover;
    background-position: center center;
}

.ship > * {
    position: relative;
    z-index: 1;
}

.ship > i {
    position: absolute;
    top: 5px;
    left: 5px;
    z-index: 2;
    color: white;
    font-size: .8em;
}

.ship > .infos {
    background: #222;
    height: 40px;
    padding: 3px;
}

.infos > span {
    font-size: .8em;
}

.row:not(:first-child) > .column > .ship:first-child:after {
    content: ' ';
    position: absolute;
    display: block;
    width: 100%;
    left: -50%;
    top: 50%;
    border-top: 2px solid #FF7000;
    z-index: 0;
}

.ship + .ship:before {
    content: ' ';
    position: absolute;
    display: block;
    height: 100%;
    left: 50%;
    top: -50%;
    border-left: 2px solid #FF7000;
}

.ship.toggle {
    cursor: initial;
}

.ship.toggle .infos:after {
    position: absolute;
    top: -82;
    right: 0;
    left: 0;
    height: 122px;
    background: rgba(0, 0, 0, .8);
    display: block;
    content: " ";
    z-index: 1;
}

.row .title {
    display: table-cell;
    min-width: 164px;
    position: relative;
}

.row .title:before {
    content: ' ';
    position: absolute;
    display: block;
    height: 160%;
    left: 50%;
    top: -28.5%;
    border-left: 2px solid #FF7000;
}

.row .title h2 {
    top: -41px;
    left: 100%;
    position: absolute;
    color: white;
}

.main > .row {
    margin-bottom: 41px;
}

.main > .row:last-child .title:before {
    height: 58%;
}

.main > .row:not(:first-child) > .column:first-child > .ship:first-child:after {
    width: 200%;
    left: 0;
}

#sidebar {
    position: fixed;
    bottom: 0;
    top: 0;
    right: -50%;
    width: 50%;
    background: #111;
    z-index: 3;
    overflow: auto;
    transition: all .2s;
}

.open #sidebar {
    right: 0;
}

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repository: CapMousse/EliteShipTree

repo_name: CapMousse/EliteShipTree


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repository: cdnjs/cdnjs

repo_name: cdnjs/cdnjs


text:
@INPROCEEDINGS{5741246,
author={Junio, G.A. and Malta, M.N. and de Almeida Mossri, H. and Marques-Neto, H.T. and Valente, M.T.},
booktitle={Software Maintenance and Reengineering (CSMR), 2011 15th European Conference on},
title={On the Benefits of Planning and Grouping Software Maintenance Requests},
year={2011},
pages={55-64},
keywords={pattern clustering;software maintenance;PASM process;clustering analysis techniques;codification task;process for arranging software maintenance requests;software development activity;software engineering activity;software maintenance;software projects;Maintenance engineering;Organizations;Planning;Programming;Software engineering;Software maintenance;software clustering;software economics;software maintenance process},
doi={10.1109/CSMR.2011.10},
ISSN={1534-5351},
month={March},}

@incollection{keele2007guidelines,
  title={Guidelines for performing systematic literature reviews in software engineering},
  author={Keele, Staffs},
  booktitle={Technical report, Ver. 2.3 EBSE Technical Report. EBSE},
  year={2007}
  }

@book{wohlin2012experimentation,
  title={Experimentation in software engineering},
  author={Wohlin, Claes and Runeson, Per and H{\"o}st, Martin and Ohlsson, Magnus C and Regnell, Bj{\"o}rn and Wessl{\'e}n, Anders},
  year={2012},
  publisher={Springer Science \& Business Media}
}
@article{101186,
year={2015},
journal={Journal of Software Engineering Research and Development},
eid={3},
volume={3},
number={1},
doi={10.1186/s40411-015-0018-x},
title={NextBug: a Bugzilla extension for recommending similar bugs},
url={http://dx.doi.org/10.1186/s40411-015-0018-x},
publisher={Springer Berlin Heidelberg},
keywords={Bugs; Recommendation systems; Bug mining techniques},
author={Rocha, Henrique and Oliveira, Guilhermede and Marques-Neto, Humberto and Valente, MarcoTulio},
language={English}
}

@book{baeza1999modern,
  title={{Modern Information Retrieval}},
  author={Baeza-Yates, Ricardo and Ribeiro-Neto, Berthier and others},
  volume={463},
  year={1999},
  publisher={ACM press New York}
}
@ARTICLE{846201,
author={Erlikh, L.},
journal={IT Professional},
title={Leveraging legacy system dollars for e-business},
year={2000},
volume={2},
number={3},
pages={17-23},
keywords={business data processing;software development management;software maintenance;software reviews;APIs;Relativity Technologies;RescueWare;Y2K;application backlog;application program interfaces;business knowledge;business requirements;business services;distributed architectures;e-business;e-components;legacy systems redevelopment;legacy transformation software;mainframe based mission-critical systems;modern industry-standard protocols;productive platforms;qualified personnel;software maintenance;technology enhancements;Companies;Computer architecture;Encapsulation;Enterprise resource planning;Java;Merging;Mission critical systems;Personnel;Software performance;XML},
doi={10.1109/6294.846201},
ISSN={1520-9202},
month={May},}

@article{swe.cost.legacy2,
    author = {Eastwood, A.},
    citeulike-article-id = {5985114},
    journal = {Computing Canada},
    keywords = {reengineering},
    number = {2},
    pages = {17},
    posted-at = {2009-10-22 16:30:42},
    priority = {2},
    title = {{Firm fires shots at legacy systems}},
    volume = {19},
    year = {1993}
    }

@article{moad1990maintaining,
  title={Maintaining the competitive edge},
  author={Moad, Jeffrey},
  journal={Datamation},
  volume={36},
  number={4},
  pages={61},
  year={1990},
  publisher={CAHNERS-DENVER PUBLISHING CO 8773 S RIDGELINE BLVD, HIGHLANDS RANCH, CO 80126-2329}
  }
 @article{Port1988,
    author = {Port, O.},
    citeulike-article-id = {4840083},
    journal = {Business Week},
    keywords = {bugs},
    number = {3051},
    pages = {142--154},
    posted-at = {2009-06-14 01:02:27},
    priority = {2},
    title = {{The software trap -- automate or else}},
    volume = {9},
    year = {1988}
}
@inproceedings{McKee:1984:MFD:1499310.1499334,
 author = {McKee, James R.},
 title = {Maintenance As a Function of Design},
 booktitle = {Proceedings of the July 9-12, 1984, National Computer Conference and Exposition},
 series = {AFIPS '84},
 year = {1984},
 isbn = {0-88283-043-0},
 location = {Las Vegas, Nevada},
 pages = {187--193},
 numpages = {7},
 url = {http://doi.acm.org/10.1145/1499310.1499334},
 doi = {10.1145/1499310.1499334},
 acmid = {1499334},
 publisher = {ACM},
 address = {New York, NY, USA},
}
@article{Lientz:1981:PAS:358790.358796,
 author = {Lientz, Bennet P. and Swanson, E. Burton},
 title = {Problems in Application Software Maintenance},
 journal = {Commun. ACM},
 issue_date = {Nov. 1981},
 volume = {24},
 number = {11},
 month = nov,
 year = {1981},
 issn = {0001-0782},
 pages = {763--769},
 numpages = {7},
 url = {http://doi.acm.org/10.1145/358790.358796},
 doi = {10.1145/358790.358796},
 acmid = {358796},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {application software maintenance, maintenance problem factors},
}

@book{Zelkowitz:1979:PSE:578504,
 author = {Zelkowitz, Marvin V. and Shaw, Alan C. and Gannon, John D.},
 title = {Principles of Software Engineering and Design},
 year = {1979},
 isbn = {013710202X},
 publisher = {Prentice Hall Professional Technical Reference},
 }

@ARTICLE{1423995,
author={Yong Tan and Mookerjee, V.S.},
journal={Software Engineering, IEEE Transactions on},
title={Comparing uniform and flexible policies for software maintenance and replacement},
year={2005},
volume={31},
number={3},
pages={238-255},
keywords={software cost estimation;software maintenance;software reusability;optimal scheduling;software cost estimation;software maintenance;software replacement;software reuse;Application software;Computer industry;Cost function;Environmental economics;Java;Optimal scheduling;Personnel;Software maintenance;Software performance;Software systems;Index Terms- Software maintenance and replacement;cost models;optimal scheduling.},
doi={10.1109/TSE.2005.30},
ISSN={0098-5589},
month={March},}

@article{benaroch2013primary,
  title={Primary Drivers of Software Maintenance Cost Studied Using Longitudinal Data},
  author={Benaroch, Michel},
  year={2013}
}

@INPROCEEDINGS{5873461,
author={Yongchang Ren and Tao Xing and Xiaoji Chen and Xuguang Chai},
booktitle={Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on},
title={Research on Software Maintenance Cost of Influence Factor Analysis and Estimation Method},
year={2011},
pages={1-4},
keywords={software maintenance;estimation method;influence factor analysis;software maintenance cost research;Databases;Estimation;Maintenance engineering;Modeling;Programming;Software maintenance},
doi={10.1109/ISA.2011.5873461},
month={May},}

@inproceedings{ren2011research,
  title={Research on software maintenance cost of influence factor analysis and estimation method},
  author={Ren, Yongchang and Xing, Tao and Chen, Xiaoji and Chai, Xuguang},
  booktitle={Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on},
  pages={1--4},
  year={2011},
  organization={IEEE}
  }

@INPROCEEDINGS{815646,
author={Suenobu, H. and Honma, M. and Tsuruta, S. and Kasahara, H. and Masuda, H. and Uchara, M.},
booktitle={Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on},
title={Stepwise approach for introducing object-oriented technique at software maintenance stages},
year={1999},
volume={5},
pages={756-761 vol.5},
keywords={object-oriented programming;software cost estimation;software maintenance;C language;C++ language;elevator maintenance engineers;methodology;object-oriented technique;scheduling;software cost;software developers;software maintenance;stepwise approach;Application software;Computer bugs;Costs;Elevators;Information analysis;Laboratories;Large-scale systems;Programming;Software maintenance},
doi={10.1109/ICSMC.1999.815646},
ISSN={1062-922X},
month={},}

@article{April200973,
title = "A Software Maintenance Maturity Model (S3M): Measurement Practices at Maturity Levels 3 and 4 ",
journal = "Electronic Notes in Theoretical Computer Science ",
volume = "233",
number = "",
pages = "73 - 87",
year = "2009",
note = "Proceedings of the International Workshop on Software Quality and Maintainability (SQM 2008) ",
issn = "1571-0661",
doi = "http://dx.doi.org/10.1016/j.entcs.2009.02.062",
url = "http://www.sciencedirect.com/science/article/pii/S157106610900067X",
author = "Alain April and Alain Abran",
keywords = "Software Maintenance",
keywords = "Maturity Model",
keywords = "Process Improvement",
keywords = "Process Assessment",
keywords = "Product Assessment "
}

@INPROCEEDINGS{930170,
author={Kajko-Mattsson, M.},
booktitle={Engineering of Complex Computer Systems, 2001. Proceedings. Seventh IEEE International Conference on},
title={Motivating the corrective maintenance maturity model (CM3)},
year={2001},
pages={112-117},
keywords={software maintenance;software process improvement;CM3;corrective maintenance maturity model;maintenance process;process model;process models;software maintenance;Costs;Footwear;IEC standards;ISO standards;Laboratories;Preventive maintenance;Programming;Software engineering;Software maintenance;Terminology},
doi={10.1109/ICECCS.2001.930170},
month={},}

@inproceedings{Runeson:2007:DDD:1248820.1248882,
 author = {Runeson, Per and Alexandersson, Magnus and Nyholm, Oskar},
 title = {Detection of Duplicate Defect Reports Using Natural Language Processing},
 booktitle = {Proceedings of the 29th International Conference on Software Engineering},
 series = {ICSE '07},
 year = {2007},
 isbn = {0-7695-2828-7},
 pages = {499--510},
 numpages = {12},
 url = {http://dx.doi.org/10.1109/ICSE.2007.32},
 doi = {10.1109/ICSE.2007.32},
 acmid = {1248882},
 publisher = {IEEE Computer Society},
 address = {Washington, DC, USA},
}
@article{koskinen2003software,
  title={Software maintenance costs},
  author={Koskinen, Jussi},
  journal={Information Technology Research Institute, ELTIS-Project University of Jyv{\"a}skyl{\"a}},
  year={2003}
}
@inproceedings{Alipour:2013:CAT:2487085.2487123,
 author = {Alipour, Anahita and Hindle, Abram and Stroulia, Eleni},
 title = {A Contextual Approach Towards More Accurate Duplicate Bug Report Detection},
 booktitle = {Proceedings of the 10th Working Conference on Mining Software Repositories},
 series = {MSR '13},
 year = {2013},
 isbn = {978-1-4673-2936-1},
 location = {San Francisco, CA, USA},
 pages = {183--192},
 numpages = {10},
 url = {http://dl.acm.org/citation.cfm?id=2487085.2487123},
 acmid = {2487123},
 publisher = {IEEE Press},
 address = {Piscataway, NJ, USA},
 }

@INPROCEEDINGS{6671283,
author={Kaiping Liu and Hee Beng Kuan Tan and Hongyu Zhang},
booktitle={Reverse Engineering (WCRE), 2013 20th Working Conference on},
title={Has this bug been reported?},
year={2013},
pages={82-91},
keywords={Web sites;document handling;learning (artificial intelligence);program debugging;query processing;support vector machines;Bugzilla;Eclipse bug reports;Learning to Rank technique;Lucene;Mozilla bug reports;Ranking SVM;Wikipedia;bug fixing;bug report search;bug reporters;bug reporting;bug tracking systems;bug triaging;documents;ranking functions;semantic relation discovery;user query;Electronic publishing;Encyclopedias;Internet;Semantics;Support vector machines;Training;Bug report search;Ranking SVM;bug tracking system;search quality;semantic relation},
doi={10.1109/WCRE.2013.6671283},
month={Oct},}

@article{09639314,
year={2013},
issn={0963-9314},
journal={Software Quality Journal},
volume={21},
number={1},
doi={10.1007/s11219-011-9164-5},
title={The bug report duplication problem: an exploratory study},
url={http://dx.doi.org/10.1007/s11219-011-9164-5},
publisher={Springer US},
keywords={Bug reports; Bug tracker; Bug reports duplication; Exploratory study; Software configuration management},
author={Cavalcanti, YguaratãCerqueira and da Mota Silveira Neto, PauloAnselmo and Lucrédio, Daniel and Vale, Tassio and de Almeida, EduardoSantana and de Lemos Meira, SilvioRomero},
pages={39-66},
language={English}
}

@article{zimmermann2005mining,
  title={Mining version histories to guide software changes},
  author={Zimmermann, Thomas and Zeller, Andreas and Weissgerber, Peter and Diehl, Stephan},
  journal={Software Engineering, IEEE Transactions on},
  volume={31},
  number={6},
  pages={429--445},
  year={2005},
  publisher={IEEE}
  }

@article{kaur2015review,
  title={A Review on Software Maintenance Issues and How to Reduce Maintenance Efforts},
  author={Kaur, Uttamjit and Singh, Gagandeep},
  journal={International Journal of Computer Applications},
  volume={118},
  number={1},
  year={2015},
  publisher={Foundation of Computer Science}
  }

@BOOK {Zhang_2003,
    author    = "HF Zhang",
    title     = "Introduction to Software Engineering,",
    publisher = "Tsinghua University Press",
    year      = "2003"
}

@ARTICLE{1703974,
journal={ISO/IEC 14764:2006 (E) IEEE Std 14764-2006 Revision of IEEE Std 1219-1998)},
title={{International Standard - ISO/IEC 14764 IEEE Std 14764-2006 Software Engineering 2013; Software Life Cycle Processes 2013; Maintenance}},
author={ISO/IEC},
year={2006},
pages={01-46},
keywords={IEEE standards;ISO;Software engineering},
doi={10.1109/IEEESTD.2006.235774},
month={},}

@ARTICLE{159342,
journal={IEEE Std 610.12-1990},
author={IEEE},
title={{IEEE Standard Glossary of Software Engineering Terminology}},
year={1990},
pages={1-84},
keywords={glossaries;software engineering;standards;IEEE Std 610.12-1990;software engineering terminology;standard glossary;Software engineering;Standards;Terminology;Definitions;Software engineering;dictionary;glossary;terminology},
doi={10.1109/IEEESTD.1990.101064},
month={Dec}}

@book{Lientz:1980:SMM:601062,
 author = {Lientz, Bennett P. and Swanson, E. Burton},
 title = {Software Maintenance Management},
 year = {1980},
 isbn = {0201042053},
 publisher = {Addison-Wesley Longman Publishing Co., Inc.},
 address = {Boston, MA, USA},
}

@inproceedings{Baysal:2013:SAP:2486788.2486957,
 author = {Baysal, Olga and Holmes, Reid and Godfrey, Michael W.},
 title = {Situational Awareness: Personalizing Issue Tracking Systems},
 booktitle = {Proceedings of the 2013 International Conference on Software Engineering},
 series = {ICSE '13},
 year = {2013},
 isbn = {978-1-4673-3076-3},
 location = {San Francisco, CA, USA},
 pages = {1185--1188},
 numpages = {4},
 url = {http://dl.acm.org.ez27.periodicos.capes.gov.br/citation.cfm?id=2486788.2486957},
 acmid = {2486957},
 publisher = {IEEE Press},
 address = {Piscataway, NJ, USA},
}
@inproceedings{Herrin:1985:SMC:323287.323383,
 author = {Herrin, William R.},
 title = {Software Maintenance Costs: A Quantitative Evaluation},
 booktitle = {Proceedings of the Sixteenth SIGCSE Technical Symposium on Computer Science Education},
 series = {SIGCSE '85},
 year = {1985},
 isbn = {0-89791-152-0},
 location = {New Orleans, Louisiana, USA},
 pages = {233--237},
 numpages = {5},
 url = {http://doi.acm.org.ez27.periodicos.capes.gov.br/10.1145/323287.323383},
 doi = {10.1145/323287.323383},
 acmid = {323383},
 publisher = {ACM},
 address = {New York, NY, USA},
 }

@inproceedings{hirota1994approach,
  title={An approach to predict software maintenance cost based on ripple complexity},
  author={Hirota, Toyohiko and Tohki, Masaharu and Overstreet, C Michael and Hashimoto, Masaaki and Cherinka, Robert},
  booktitle={Software Engineering Conference, 1994. Proceedings., 1994 First Asia-Pacific},
  pages={439--444},
  year={1994},
  organization={IEEE}
}
@article{baysal2012qualitative,
  title={A Qualitative Study of Mozillas Process Management Practices},
  author={Baysal, Olga and Holmes, Reid},
  journal={David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada, Tech. Rep. CS-2012-10},
  year={2012}
}

@inproceedings{Thung:2014:BIT:2635868.2661678,
 author = {Thung, Ferdian and Le, Tien-Duy B. and Kochhar, Pavneet Singh and Lo, David},
 title = {BugLocalizer: Integrated Tool Support for Bug Localization},
 booktitle = {Proceedings of the 22Nd ACM SIGSOFT International Symposium on Foundations of Software Engineering},
 series = {FSE 2014},
 year = {2014},
 isbn = {978-1-4503-3056-5},
 location = {Hong Kong, China},
 pages = {767--770},
 numpages = {4},
 url = {http://doi.acm.org.ez27.periodicos.capes.gov.br/10.1145/2635868.2661678},
 doi = {10.1145/2635868.2661678},
 acmid = {2661678},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {Bug localization, Bugzilla, git},
}

@inproceedings{Thung:2014:DIT:2642937.2648627,
 author = {Thung, Ferdian and Kochhar, Pavneet Singh and Lo, David},
 title = {DupFinder: Integrated Tool Support for Duplicate Bug Report Detection},
 booktitle = {Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering},
 series = {ASE '14},
 year = {2014},
 isbn = {978-1-4503-3013-8},
 location = {Vasteras, Sweden},
 pages = {871--874},
 numpages = {4},
 url = {http://doi.acm.org.ez27.periodicos.capes.gov.br/10.1145/2642937.2648627},
 doi = {10.1145/2642937.2648627},
 acmid = {2648627},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {bugzilla, duplicate bug reports, integrated tool support},
}
@inproceedings{Kononenko:2014:DED:2591062.2591075,
 author = {Kononenko, Oleksii and Baysal, Olga and Holmes, Reid and Godfrey, Michael W.},
 title = {DASHboards: Enhancing Developer Situational Awareness},
 booktitle = {Companion Proceedings of the 36th International Conference on Software Engineering},
 series = {ICSE Companion 2014},
 year = {2014},
 isbn = {978-1-4503-2768-8},
 location = {Hyderabad, India},
 pages = {552--555},
 numpages = {4},
 url = {http://doi.acm.org.ez27.periodicos.capes.gov.br/10.1145/2591062.2591075},
 doi = {10.1145/2591062.2591075},
 acmid = {2591075},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {Bugzilla, Developer dashboards, Elasticsearch, situational awareness},
}
@article{lehman1980understanding,
  title={On understanding laws, evolution, and conservation in the large-program life cycle},
  author={Lehman, Meir M},
  journal={Journal of Systems and Software},
  volume={1},
  pages={213--221},
  year={1980},
  publisher={Elsevier}
}
@inproceedings{lehman1997metrics,
  title={Metrics and laws of software evolution-the nineties view},
  author={Lehman, Meir M and Ramil, Juan F and Wernick, Paul D and Perry, Dewayne E and Turski, Wladyslaw M},
  booktitle={Software Metrics Symposium, 1997. Proceedings., Fourth International},
  pages={20--32},
  year={1997},
  organization={IEEE}
}
@inproceedings{Shukla:2008:ESM:1342211.1342232,
 author = {Shukla, Ruchi and Misra, Arun Kumar},
 title = {Estimating Software Maintenance Effort: A Neural Network Approach},
 booktitle = {Proceedings of the 1st India Software Engineering Conference},
 series = {ISEC '08},
 year = {2008},
 isbn = {978-1-59593-917-3},
 location = {Hyderabad, India},
 pages = {107--112},
 numpages = {6},
 url = {http://doi.acm.org.ez27.periodicos.capes.gov.br/10.1145/1342211.1342232},
 doi = {10.1145/1342211.1342232},
 acmid = {1342232},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {effort estimation, neural network, software maintenance},
}
@inproceedings{kajko2009model,
  title={A model of agile evolution and maintenance process},
  author={Kajko-Mattsson, Mira and Nyfjord, Jaana},
  booktitle={System Sciences, 2009. HICSS'09. 42nd Hawaii International Conference on},
  pages={1--10},
  year={2009},
  organization={IEEE}
}

@article{thomas2006agile,
  title={Agile Evolution: Towards The Continuous Improvement of Legacy Software.},
  author={Thomas, Dave},
  journal={Journal of Object Technology},
  volume={5},
  number={7},
  pages={19--26},
  year={2006}
}
@article{yu2013empirical,
  title={An empirical study of lehman’s law on software quality evolution},
  author={Yu, Liguo and Mishra, Alok},
  journal={Int J Software Informatics},
  volume={7},
  number={3},
  pages={469--481},
  year={2013}
}

@inproceedings{bettenburg2008makes,
  title={What makes a good bug report?},
  author={Bettenburg, Nicolas and Just, Sascha and Schr{\"o}ter, Adrian and Weiss, Cathrin and Premraj, Rahul and Zimmermann, Thomas},
  booktitle={Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering},
  pages={308--318},
  year={2008},
  organization={ACM}
}

@inproceedings{Bertram:2010:CCB:1718918.1718972,
 author = {Bertram, Dane and Voida, Amy and Greenberg, Saul and Walker, Robert},
 title = {Communication, Collaboration, and Bugs: The Social Nature of Issue Tracking in Small, Collocated Teams},
 booktitle = {Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work},
 series = {CSCW '10},
 year = {2010},
 isbn = {978-1-60558-795-0},
 location = {Savannah, Georgia, USA},
 pages = {291--300},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1718918.1718972},
 doi = {10.1145/1718918.1718972},
 acmid = {1718972},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {issue tracking, shared knowledge, software engineering},
}

@INPROCEEDINGS{5070993,
author={Zimmermann, T. and Premraj, R. and Sillito, J. and Breu, S.},
booktitle={Software Engineering - Companion Volume, 2009. ICSE-Companion 2009. 31st International Conference on},
title={Improving bug tracking systems},
year={2009},
pages={247-250},
keywords={interactive systems;invasive software;iterative methods;bug tracking system;interactive system;iteration;Computer bugs;Computer science;Data mining;Decision trees;Delay effects;Laboratories;Prototypes;Relational databases;Testing;Usability},
doi={10.1109/ICSE-COMPANION.2009.5070993},
month={May},}

@inproceedings{Breu:2010:INB:1718918.1718973,
 author = {Breu, Silvia and Premraj, Rahul and Sillito, Jonathan and Zimmermann, Thomas},
 title = {Information Needs in Bug Reports: Improving Cooperation Between Developers and Users},
 booktitle = {Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work},
 series = {CSCW '10},
 year = {2010},
 isbn = {978-1-60558-795-0},
 location = {Savannah, Georgia, USA},
 pages = {301--310},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1718918.1718973},
 doi = {10.1145/1718918.1718973},
 acmid = {1718973},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {bug reports, information needs, question time, questions, response rate, response time},
}

@inproceedings{bilal2005using,
  title={Using the ripple effect to measure software quality},
  author={Bilal, Haider and Black, Sue},
  booktitle={SOFTWARE QUALITY MANAGEMENT-INTERNATIONAL CONFERENCE-},
  volume={13},
  pages={183},
  year={2005}
}

@inproceedings{haney1972module,
  title={Module connection analysis: a tool for scheduling software debugging activities},
  author={Haney, Frederick M},
  booktitle={Proceedings of the December 5-7, 1972, fall joint computer conference, part I},
  pages={173--179},
  year={1972},
  organization={ACM}
}

@techreport{kitchenham2007guidelines,
	title={Guidelines for performing systematic literature reviews in software engineering},
	author={Kitchenham, Barbara and Charters, Stuart},
	year={2007},
	institution={Technical report, EBSE Technical Report EBSE-2007-01}
}

repository: vagnerclementino/dissertacao

repo_name: vagnerclementino/dissertacao


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repository: thomasmendez/lms-app

repo_name: thomasmendez/lms-app

gha_language: JavaScript


text:
@inproceedings{chung2019two,
 author = {Chung, Szu-Chi and Niu, Po-Yao and Huang, Su-Yun and Chang, Wei-Hau and Tu, I-Ping},
 booktitle = {Microscopy & Microanalysis 2019 Meeting (Post-deadline poster)(https://www.microscopy.org/MandM/2019/program/abstracts/PDP-2.pdf)},
 title = {A Two-Stage Dimension Reduction Method for Cryo-EM Image Processing},
 year = {2019}
}


text:
@article{cervarich16,
 abstract = {Accomplishing the objective of the current climate policies will require establishing carbon budget and flux estimates in each region and county of the globe by comparing and reconciling multiple estimates including the observations and the results of top-down atmospheric carbon dioxide (CO 2 ) inversions and bottom-up dynamic global vegetation models. With this in view, this study synthesizes the carbon source/sink due to net ecosystem productivity (NEP), land cover land use change ( E LUC ), fires and fossil burning ( E FIRE ) for the South Asia (SA), Southeast Asia (SEA) and South and Southeast Asia (SSEA = SA + SEA) and each country in these regions using the multiple top-down and bottom-up modeling results. The terrestrial net biome productivity (NBP =NEP -- E LUC -- E FIRE ) calculated based on bottom-up models in combination with E FIRE based on GFED4s data show net carbon sinks of 217 $±$ 147, 10 $±$ 55, and 227 $±$ 279 TgC yr −1 for SA, SEA, and SSEA. The top-down models estimated NBP net carbon sinks were 20 $±$ 170, 4 $±$ 90 and 24 $±$ 180 TgC yr −1 . In comparison, regional emissions from the combustion of fossil fuels were 495, 275, and 770 TgC yr −1 , which are many times higher than the NBP sink estimates, suggesting that the contribution of the fossil fuel emissions to the carbon budget of SSEA results in a significant net carbon source during the 2000s. When considering both NBP and fossil fuel emissions for the individual countries within the regions, Bhutan and Laos were net carbon sinks and rest of the countries were net carbon source during the 2000s. The relative contributions of each of the fluxes (NBP, NEP, E LUC , and E FIRE , fossil fuel emissions) to a nation's net carbon flux varied greatly from country to country, suggesting a heterogeneous dominant carbon fluxes on the country-level throughout SSEA.},
 author = {Matthew Cervarich and Shijie Shu and Atul K Jain and Almut Arneth and Josep Canadell and Pierre Friedlingstein and Richard A Houghton and Etsushi Kato and Charles Koven and Prabir Patra and Ben Poulter and Stephen Sitch and Beni Stocker and Nicolas Viovy and Andy Wiltshire and Ning Zeng},
 bdsk-url-1 = {http://stacks.iop.org/1748-9326/11/i=10/a=105006},
 journal = {Environmental Research Letters},
 number = {10},
 pages = {105006},
 title = {The terrestrial carbon budget of South and Southeast Asia},
 url = {http://stacks.iop.org/1748-9326/11/i=10/a=105006},
 volume = {11},
 year = {2016}
}


text:
@phdthesis{Litj15a,
 abstract = {Prostate MRI is becoming an increasingly popular imaging technique for the detection of prostate cancer. However, it requires a substantial amount of expertise and time from radiologists to accurately report on prostate MRI. Furthermore, quantitative analysis is needed for accurate assessment of cancer aggressiveness in vivo. Computer-aided detection and diagnosis (CAD) systems are excellent tools to tackle these challenges. In this thesis the design of such a systems is discussed. CAD systems are typically a connected pipeline of differing algorithms performing consecutive tasks, for example segmentation, feature extraction and classification. We followed a similar outline in this thesis. In Chapter 2 we discuss the segmentation of the prostate capsule in the setting of a 'grand challenge'. Further division of the prostate capsule in distinct anatomical zones is the topic of Chapter 3. After segmentation of the capsule and the prostate zones, features discriminative for cancer and cancer aggression are discussed in Chapter 4 and 5. The interconnection of the components into one unified CAD system is subsequently discussed in Chapter 6 and the evaluation of the system in a clinical setting in Chapter 7. In this last Chapter we not only show that designing a fully automated CAD system is feasbile, but that it can be used to the benefit of radiologists.},
 author = {Geert J. S. Litjens},
 copromotor = {H. J. Huisman},
 file = {Litj15a.pdf:pdf/Litj15a.pdf:PDF},
 month = {January, 23},
 optgroups = {Pathology},
 optnote = {RADIOLOGY,DIAG},
 owner = {Wendy},
 promotor = {N. Karssemeijer and J. O. Barentsz},
 school = {Radboud Universiteit Nijmegen},
 timestamp = {2014.12.10},
 title = {Computerized detection of cancer in multi-parametric prostate MRI},
 url = {http://repository.ubn.ru.nl/handle/2066/134514},
 year = {2015}
}


text:
@misc{Fu:modernhealthcare:2016,
  author = {Fu, Kevin and Halamka, John and Kufahl, Jack and Logan, Mary},
  keywords = {Health, Security},
  title = {Commentary: Hospitals need better cybersecurity, not more fear},
  note = {Modern Healthcare},
  url = {http://www.modernhealthcare.com/article/20160914/NEWS/160919950},
  month = sep,
  monthnum = 9,
  year = 2016
}


text:
@article{guo_negative_2018,
 abstract = {In recent years, SF6/N-2 binary mixtures have been used as insulation in second generation gas-insulated metal-enclosed transmission lines mainly because of the greenhouse effect and diseconomy of SF6. Though the synergistic effect of SF6 is known in a uniform electric field, there is little understanding of the synergistic effect phenomenon with parameters in a non-uniform electric field under standard lightning impulse. A series of experiments were designed to increase our knowledge of this and the breakdown characteristics of SF6/N-2 under multiple parameters show a negative synergistic effect. Our experimental results with negative lightning impulse demonstrated that the breakdown voltage of N-2 increased greater than with both SF6 and its mixtures with increasing gas pressure. When the gas pressure exceeded 0.3MPa, the breakdown voltage of pure N-2 was higher than SF6/N-2 gas mixtures and even exceeded the value of SF6 at 0.5MPa. A normalization coefficient h was introduced in this research to evaluate the negative synergistic effect. Under negative lightning impulse the analytical results show that the negative synergistic effect increased with the augment of gas pressure. On the other hand, the synergistic effect was reduced with decreasing gas pressure under positive polarity impulse and it appeared to be a negative synergistic effect with the enhancement of field non-uniformity. The analysis of streamer discharge propagation indicates three reasons lead to the negative synergistic effect: similar streamer corona onset voltage, different space charge effect, and dissimilar discharge form of N-2 and SF6/N-2 gas mixtures.},
 author = {Guo, Can and Zhang, Qiaogen and Ma, Jingtan and Zhang, Lingli and Li, Yuan and Wu, Zhicheng},
 doi = {10.1109/TDEI.2018.007024},
 issn = {1070-9878},
 journal = {IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION},
 number = {4},
 pages = {1393--1402},
 title = {Negative Synergistic Effect of SF6/N-2 Gas Mixtures in Non-uniform Electric Field Under Lightning Impulse},
 volume = {25},
 year = {2018}
}

repository: hvzcwu/academic-kickstart

repo_name: hvzcwu/academic-kickstart


text:
@article{hidalgoCanPoliticiansPolice2016,
 abstract = {To enhance government accountability, reformers have advocated strengthening institutions of “horizontal accountability,” particularly auditing institutions that can punish lawbreaking elected officials. Yet, these institutions differ in their willingness to punish corrupt politicians, which is often attributed to variation in their degree of independence from the political branches. Taking advantage of a randomized natural experiment embedded in Brazil’s State Audit Courts, we study how variation in the appointment mechanisms for choosing auditors affects political accountability. We show that auditors appointed under few constraints by elected officials punish lawbreaking politicians—particularly co-partisans—at lower rates than bureaucrats insulated from political influence. In addition, we find that even when executives are heavily constrained in their appointment of auditors by meritocratic and professional requirements, auditors still exhibit a pro-politician bias in decision making. Our results suggest that removing bias requires a level of insulation from politics rare among institutions of horizontal accountability.},
 author = {Hidalgo, F. Daniel and Canello, Júlio and Lima-de-Oliveira, Renato},
 doi = {10.1177/0010414015626436},
 file = {SAGE PDF Full Text:/Users/dhidalgo/Zotero/storage/A33XADMJ/Hidalgo et al. - 2016 - Can Politicians Police Themselves Natural Experim.pdf:application/pdf},
 issn = {0010-4140},
 journal = {Comparative Political Studies},
 language = {en},
 month = {November},
 number = {13},
 pages = {1739--1773},
 shorttitle = {Can Politicians Police Themselves?},
 title = {Can Politicians Police Themselves? Natural Experimental Evidence From Brazil’s Audit Courts},
 url = {https://doi.org/10.1177/0010414015626436},
 urldate = {2019-07-08},
 volume = {49},
 year = {2016}
}

repository: fdhidalgo/academic-kickstart

repo_name: fdhidalgo/academic-kickstart


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repository: balkaneum/McAfeeMiner

repo_name: balkaneum/McAfeeMiner


text:
@article{inuwa2018lexical,
 author = {Inuwa-Dutse, Isa and Bello, Bello Shehu and Korkontzelos, Ioannis},
 journal = {arXiv preprint arXiv:1812.07947},
 title = {Lexical analysis of automated accounts on Twitter},
 year = {2018}
}

repository: buknlp/researchgroup

repo_name: buknlp/researchgroup


text:
@article{Vionnet-2022-Snow,
    title = "Snow level from post‐processing of atmospheric model improves snowfall estimate and snowpack prediction in mountains",
    author = "Vionnet, V.  and
      Verville, M.  and
      Fortin, V.  and
      Brugman, M.  and
      Abrahamowicz, M.  and
      Lemay, F.  and
      Th{\'e}riault, J. M.  and
      Lafaysse, M.  and
      Milbrandt, J. A.",
    journal = "Water Resources Research",
    year = "2022",
    publisher = "American Geophysical Union (AGU)",
    url = "https://aclanthology.org/G22-90001",
    doi = "10.1029/2021wr031778",
}

repository: gwf-uwaterloo/gwf-publications

repo_name: gwf-uwaterloo/gwf-publications

gha_language: Python