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1360086
journals/csur/WuSZXC23
Graph Neural Networks in Recommender Systems: A Survey.
Shiwen Wu, Fei Sun 0001, Wentao Zhang 0001, Xu Xie, Bin Cui 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
97:1-97:37
https://dblp.org/rec/journals/csur/WuSZXC23
https://doi.org/10.1145/3535101
With the explosive growth of online information, recommender systems play a key role to alleviate such information overload. Due to the important application value of recommender systems, there have always been emerging works in this field. In recommender systems, the main challenge is to learn the effective user/item ...
@article{DBLP:journals/csur/WuSZXC23, author = {Shiwen Wu and Fei Sun 0001 and Wentao Zhang 0001 and Xu Xie and Bin Cui 0001}, title = {Graph Neural Networks in Recommender Systems: A Survey.}, journal = {ACM Comput. Surv.},...
1360017
journals/csur/Quina-MeraFGR23
GraphQL: A Systematic Mapping Study.
Antonio Quiña-Mera, Pablo Fernandez 0001, José María García, Antonio Ruiz-Cortés
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
202:1-202:35
https://dblp.org/rec/journals/csur/Quina-MeraFGR23
https://doi.org/10.1145/3561818
GraphQL is a query language and execution engine for web application programming interfaces (APIs) proposed as an alternative to improve data access problems and versioning of representational state transfer APIs. In this article, we thoroughly study the GraphQL field, first describing the GraphQL paradigm and its conc...
@article{DBLP:journals/csur/Quina-MeraFGR23, author = {Antonio Quiña-Mera and Pablo Fernandez 0001 and José María García and Antonio Ruiz-Cortés}, title = {GraphQL: A Systematic Mapping Study.}, journal = {ACM Comput. Surv.}, volume =...
1360109
journals/csur/ZhongLJZJ23
Guided Depth Map Super-Resolution: A Survey.
Zhiwei Zhong, Xianming Liu 0004, Junjun Jiang, Debin Zhao, Xiangyang Ji
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
301:1-301:36
https://dblp.org/rec/journals/csur/ZhongLJZJ23
https://doi.org/10.1145/3584860
Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution depth map from a low-resolution observation with the help of a paired high-resolution color image, is a longstanding and fundamental problem that has attracted considerable attention from computer vision and image processing communiti...
@article{DBLP:journals/csur/ZhongLJZJ23, author = {Zhiwei Zhong and Xianming Liu 0004 and Junjun Jiang and Debin Zhao and Xiangyang Ji}, title = {Guided Depth Map Super-Resolution: A Survey.}, journal = {ACM Comput. Surv.}, ...
1359878
journals/csur/GargMS023
Handling Bias in Toxic Speech Detection: A Survey.
Tanmay Garg, Sarah Masud, Tharun Suresh, Tanmoy Chakraborty 0002
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
264:1-264:32
https://dblp.org/rec/journals/csur/GargMS023
https://doi.org/10.1145/3580494
Detecting online toxicity has always been a challenge due to its inherent subjectivity. Factors such as the context, geography, socio-political climate, and background of the producers and consumers of the posts play a crucial role in determining if the content can be flagged as toxic. Adoption of automated toxicity de...
@article{DBLP:journals/csur/GargMS023, author = {Tanmay Garg and Sarah Masud and Tharun Suresh and Tanmoy Chakraborty 0002}, title = {Handling Bias in Toxic Speech Detection: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, ...
1359808
journals/csur/ArmeniakosZSH23
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey.
Giorgos Armeniakos, Georgios Zervakis 0001, Dimitrios Soudris, Jörg Henkel
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
83:1-83:36
https://dblp.org/rec/journals/csur/ArmeniakosZSH23
https://doi.org/10.1145/3527156
. Recent advancements in DNNs have brought levels beyond human accuracy in many tasks, but at the cost of high computational complexity. To enable efficient execution of DNN inference, more and more research works, therefore, are exploiting the inherent error resilience of DNNs and employing Approximate Computing (AC) ...
@article{DBLP:journals/csur/ArmeniakosZSH23, author = {Giorgos Armeniakos and Georgios Zervakis 0001 and Dimitrios Soudris and Jörg Henkel}, title = {Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey.}, journal = ...
1360089
journals/csur/XiaJWJLM23
Heterogeneous Network Access and Fusion in Smart Factory: A Survey.
Dan Xia, Chun Jiang, Jiafu Wan, Jiong Jin, Victor C. M. Leung, Miguel Martínez-García
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
113:1-113:31
https://dblp.org/rec/journals/csur/XiaJWJLM23
https://doi.org/10.1145/3530815
With the continuous expansion of the Industrial Internet of Things (IIoT) and the increasing connectivity among the various intelligent devices or systems, the control of access and fusion in smart factory networks has significantly gained importance. However, the contradiction between the high Quality of Service (QoS)...
@article{DBLP:journals/csur/XiaJWJLM23, author = {Dan Xia and Chun Jiang and Jiafu Wan and Jiong Jin and Victor C. M. Leung and Miguel Martínez-García}, title = {Heterogeneous Network Access and Fusion in Smart Fa...
1359838
journals/csur/ChakrabortyLLMP23
Honeyword-based Authentication Techniques for Protecting Passwords: A Survey.
Nilesh Chakraborty, Jianqiang Li 0001, Victor C. M. Leung, Samrat Mondal, Yi Pan 0001, Chengwen Luo 0001, Mithun Mukherjee 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
169:1-169:37
https://dblp.org/rec/journals/csur/ChakrabortyLLMP23
https://doi.org/10.1145/3552431
Honeyword (or decoy password) based authentication, first introduced by Juels and Rivest in 2013, has emerged as a security mechanism that can provide security against server-side threats on the password-files. From the theoretical perspective, this security mechanism reduces attackers’ efficiency to a great extent as ...
@article{DBLP:journals/csur/ChakrabortyLLMP23, author = {Nilesh Chakraborty and Jianqiang Li 0001 and Victor C. M. Leung and Samrat Mondal and Yi Pan 0001 and Chengwen Luo 0001 and Mithun Mukherjee 0001},...
1359898
journals/csur/HanYLY23
How Can Incentive Mechanisms and Blockchain Benefit with Each Other? A Survey.
Rong Han, Zheng Yan 0002, Xueqin Liang, Laurence T. Yang
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
136:1-136:38
https://dblp.org/rec/journals/csur/HanYLY23
https://doi.org/10.1145/3539604
In a blockchain-based system, the lack of centralized control requires active participation and cooperative behaviors of system entities to ensure system security and sustainability. However, dynamic environments and unpredictable entity behaviors challenge the performances of such systems in practice. Therefore, desig...
@article{DBLP:journals/csur/HanYLY23, author = {Rong Han and Zheng Yan 0002 and Xueqin Liang and Laurence T. Yang}, title = {How Can Incentive Mechanisms and Blockchain Benefit with Each Other? A Survey.}, journal = {ACM Comput. Surv.}, vol...
1359932
journals/csur/KeyvanH23
How to Approach Ambiguous Queries in Conversational Search: A Survey of Techniques, Approaches, Tools, and Challenges.
Kimiya Keyvan, Jimmy Xiangji Huang
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
129:1-129:40
https://dblp.org/rec/journals/csur/KeyvanH23
https://doi.org/10.1145/3534965
The advent of recent Natural Language Processing technology has led human and machine interactions more toward conversation. In Conversational Search Systems (CSS) like chatbots and Virtual Personal Assistants such as Apple’s Siri, Amazon Alexa, Microsoft’s Cortana, and Google Assistant, both user and device have a lim...
@article{DBLP:journals/csur/KeyvanH23, author = {Kimiya Keyvan and Jimmy Xiangji Huang}, title = {How to Approach Ambiguous Queries in Conversational Search: A Survey of Techniques, Approaches, Tools, and Challenges.}, journal = {ACM Comput. Surv.}, volume = {55}, num...
1360069
journals/csur/TophamKAH23
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models.
Luke K. Topham, Wasiq Khan, Dhiya Al-Jumeily, Abir Hussain
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
120:1-120:42
https://dblp.org/rec/journals/csur/TophamKAH23
https://doi.org/10.1145/3533384
Person identification is a problem that has received substantial attention, particularly in security domains. Gait recognition is one of the most convenient approaches enabling person identification at a distance without the need for high-quality images. There are several review studies addressing person identification...
@article{DBLP:journals/csur/TophamKAH23, author = {Luke K. Topham and Wasiq Khan and Dhiya Al-Jumeily and Abir Hussain}, title = {Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models.}, journal = {...
1359997
journals/csur/OlugbadeBBDOCHB23
Human Movement Datasets: An Interdisciplinary Scoping Review.
Temitayo A. Olugbade, Marta Bienkiewicz, Giulia Barbareschi, Vincenzo Stefano D'Amato, Luca Oneto, Antonio Camurri, Catherine Holloway, Mårten Björkman, Peter E. Keller, Martin Clayton, Amanda C. de C. Williams, Nicolas Gold, Cristina Becchio, Benoît G. Bardy, Nadia Bianchi-Berthouze
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
126:1-126:29
https://dblp.org/rec/journals/csur/OlugbadeBBDOCHB23
https://doi.org/10.1145/3534970
Movement dataset reviews exist but are limited in coverage, both in terms of size and research discipline. While topic-specific reviews clearly have their merit, it is critical to have a comprehensive overview based on a systematic survey across disciplines. This enables higher visibility of datasets available to the r...
@article{DBLP:journals/csur/OlugbadeBBDOCHB23, author = {Temitayo A. Olugbade and Marta Bienkiewicz and Giulia Barbareschi and Vincenzo Stefano D'Amato and Luca Oneto and Antonio Camurri and Catherine Hol...
1360045
journals/csur/SeifertKS23
Hybrid Clouds Arising from Software as a Service Adoption: Challenges, Solutions, and Future Research Directions.
Michael Seifert, Stephan Kuehnel, Stefan Sackmann
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
228:1-228:35
https://dblp.org/rec/journals/csur/SeifertKS23
https://doi.org/10.1145/3570156
Information technology (IT) departments are increasingly challenged to replace legacy applications with novel public cloud software as a service (SaaS) to innovate the organization's business processes. The resulting hybrid cloud is formed by integrating the added SaaS with existing IT services. The decision to adopt S...
@article{DBLP:journals/csur/SeifertKS23, author = {Michael Seifert and Stephan Kuehnel and Stefan Sackmann}, title = {Hybrid Clouds Arising from Software as a Service Adoption: Challenges, Solutions, and Future Research Directions.}, journal = {ACM Comput. Sur...
1359995
journals/csur/OliynykMR23
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences.
Daryna Oliynyk, Rudolf Mayer, Andreas Rauber
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
324:1-324:41
https://dblp.org/rec/journals/csur/OliynykMR23
https://doi.org/10.1145/3595292
Machine-Learning-as-a-Service (MLaaS) has become a widespread paradigm, making even the most complex Machine Learning models available for clients via, e.g., a pay-per-query principle. This allows users to avoid time-consuming processes of data collection, hyperparameter tuning, and model training. However, by giving t...
@article{DBLP:journals/csur/OliynykMR23, author = {Daryna Oliynyk and Rudolf Mayer and Andreas Rauber}, title = {I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences.}, journal = {ACM Comput. Surv.}, volume = {...
1359848
journals/csur/Chung00CJRLC23
Implementing Data Exfiltration Defense in Situ: A Survey of Countermeasures and Human Involvement.
Mu-Huan Chung, Yuhong Yang 0007, Lu Wang 0004, Greg Cento, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
303:1-303:37
https://dblp.org/rec/journals/csur/Chung00CJRLC23
https://doi.org/10.1145/3582077
In this article we consider the problem of defending against increasing data exfiltration threats in the domain of cybersecurity. We review existing work on exfiltration threats and corresponding countermeasures. We consider current problems and challenges that need to be addressed to provide a qualitatively better lev...
@article{DBLP:journals/csur/Chung00CJRLC23, author = {Mu-Huan Chung and Yuhong Yang 0007 and Lu Wang 0004 and Greg Cento and Khilan Jerath and Abhay Raman and David Lie and Mark H. Chign...
1359915
journals/csur/IhleTSMG23
Incentive Mechanisms in Peer-to-Peer Networks - A Systematic Literature Review.
Cornelius Ihle, Dennis Trautwein, Moritz Schubotz, Norman Meuschke, Bela Gipp
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
308:1-308:69
https://dblp.org/rec/journals/csur/IhleTSMG23
https://doi.org/10.1145/3578581
Centralized networks inevitably exhibit single points of failure that malicious actors regularly target. Decentralized networks are more resilient if numerous participants contribute to the network’s functionality. Most decentralized networks employ incentive mechanisms to coordinate the participation and cooperation o...
@article{DBLP:journals/csur/IhleTSMG23, author = {Cornelius Ihle and Dennis Trautwein and Moritz Schubotz and Norman Meuschke and Bela Gipp}, title = {Incentive Mechanisms in Peer-to-Peer Networks - A Systematic Literature Review.}...
1359844
journals/csur/ChengWF23
Independent Spanning Trees in Networks: A Survey.
Baolei Cheng, Dajin Wang, Jianxi Fan
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
335:1-335:29
https://dblp.org/rec/journals/csur/ChengWF23
https://doi.org/10.1145/3591110
The problem of constructing independent spanning trees (ISTs) dates back to as early as the late 1980s. Given a network G of a certain topology, the question is whether we can, as well as how to, construct a set of ISTs in G. ISTs have proven to be of great importance in many network tasks. The past decade has seen a p...
@article{DBLP:journals/csur/ChengWF23, author = {Baolei Cheng and Dajin Wang and Jianxi Fan}, title = {Independent Spanning Trees in Networks: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {14s}, pages = {335:1--33...
1359840
journals/csur/ChenGSLZMJ23
Indexing Metric Spaces for Exact Similarity Search.
Lu Chen 0001, Yunjun Gao, Xuan Song, Zheng Li, Yifan Zhu 0002, Xiaoye Miao, Christian S. Jensen
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
128:1-128:39
https://dblp.org/rec/journals/csur/ChenGSLZMJ23
https://doi.org/10.1145/3534963
With the continued digitization of societal processes, we are seeing an explosion in available data. This is referred to as big data. In a research setting, three aspects of the data are often viewed as the main sources of challenges when attempting to enable value creation from big data: volume, velocity, and variety....
@article{DBLP:journals/csur/ChenGSLZMJ23, author = {Lu Chen 0001 and Yunjun Gao and Xuan Song and Zheng Li and Yifan Zhu 0002 and Xiaoye Miao and Christian S. Jensen}, title = {Indexing Metric Sp...
1360057
journals/csur/SmithMilesM23
Instance Space Analysis for Algorithm Testing: Methodology and Software Tools.
Kate Smith-Miles, Mario Andrés Muñoz
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
255:1-255:31
https://dblp.org/rec/journals/csur/SmithMilesM23
https://doi.org/10.1145/3572895
Instance Space Analysis (ISA) is a recently developed methodology to (a) support objective testing of algorithms and (b) assess the diversity of test instances. Representing test instances as feature vectors, the ISA methodology extends Rice’s 1976 Algorithm Selection Problem framework to enable visualization of the en...
@article{DBLP:journals/csur/SmithMilesM23, author = {Kate Smith-Miles and Mario Andrés Muñoz}, title = {Instance Space Analysis for Algorithm Testing: Methodology and Software Tools.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {12}, pages =...
1360085
journals/csur/WillardJXSK23
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems.
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
66:1-66:37
https://dblp.org/rec/journals/csur/WillardJXSK23
https://doi.org/10.1145/3514228
There is a growing consensus that solutions to complex science and engineering problems require novel methodologies that are able to integrate traditional physics-based modeling approaches with state-of-the-art machine learning (ML) techniques. This article provides a structured overview of such techniques. Application...
@article{DBLP:journals/csur/WillardJXSK23, author = {Jared Willard and Xiaowei Jia and Shaoming Xu and Michael S. Steinbach and Vipin Kumar 0001}, title = {Integrating Scientific Knowledge with Machine Learning for Engineering and ...
1360084
journals/csur/WillM23
Intel Software Guard Extensions Applications: A Survey.
Newton Carlos Will, Carlos Alberto Maziero
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
322:1-322:38
https://dblp.org/rec/journals/csur/WillM23
https://doi.org/10.1145/3593021
Data confidentiality is a central concern in modern computer systems and services, as sensitive data from users and companies are being increasingly delegated to such systems. Several hardware-based mechanisms have been recently proposed to enforce security guarantees of sensitive information. Hardware-based isolated e...
@article{DBLP:journals/csur/WillM23, author = {Newton Carlos Will and Carlos Alberto Maziero}, title = {Intel Software Guard Extensions Applications: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {14s}, pages = {322:1--322:38}, ye...
1360019
journals/csur/RajapakseKA23
Intelligence at the Extreme Edge: A Survey on Reformable TinyML.
Visal Rajapakse, Ishan Karunanayake, Nadeem Ahmed
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
282:1-282:30
https://dblp.org/rec/journals/csur/RajapakseKA23
https://doi.org/10.1145/3583683
. Considering the general assumption that TinyML can only run inference, growing interest in the domain has led to work that makes them reformable, i.e., solutions that permit models to improve once deployed. This work presents a survey on reformable TinyML solutions with the proposal of a novel taxonomy. Here, the sui...
@article{DBLP:journals/csur/RajapakseKA23, author = {Visal Rajapakse and Ishan Karunanayake and Nadeem Ahmed}, title = {Intelligence at the Extreme Edge: A Survey on Reformable TinyML.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {1...
1359818
journals/csur/BenmoussaKLMLT23
Interest Flooding Attacks in Named Data Networking: Survey of Existing Solutions, Open Issues, Requirements, and Future Directions.
Ahmed Benmoussa, Chaker Abdelaziz Kerrache, Nasreddine Lagraa, Spyridon Mastorakis, Abderrahmane Lakas, Abdou El Karim Tahari
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
139:1-139:37
https://dblp.org/rec/journals/csur/BenmoussaKLMLT23
https://doi.org/10.1145/3539730
Named Data Networking (NDN) is a prominent realization of the vision of Information-Centric Networking. The NDN architecture adopts name-based routing and location-independent data retrieval. Among other important features, NDN integrates security mechanisms and focuses on protecting the content rather than the communi...
@article{DBLP:journals/csur/BenmoussaKLMLT23, author = {Ahmed Benmoussa and Chaker Abdelaziz Kerrache and Nasreddine Lagraa and Spyridon Mastorakis and Abderrahmane Lakas and Abdou El Karim Tahari}, title = {Inter...
1359897
journals/csur/HanL00G23
Interpreting Adversarial Examples in Deep Learning: A Review.
Sicong Han, Chenhao Lin, Chao Shen 0001, Qian Wang 0002, Xiaohong Guan
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
328:1-328:38
https://dblp.org/rec/journals/csur/HanL00G23
https://doi.org/10.1145/3594869
Deep learning technology is increasingly being applied in safety-critical scenarios but has recently been found to be susceptible to imperceptible adversarial perturbations. This raises a serious concern regarding the adversarial robustness of deep neural network (DNN)–based applications. Accordingly, various adversari...
@article{DBLP:journals/csur/HanL00G23, author = {Sicong Han and Chenhao Lin and Chao Shen 0001 and Qian Wang 0002 and Xiaohong Guan}, title = {Interpreting Adversarial Examples in Deep Learning: A Review.}, journal = {ACM Co...
1359787
journals/csur/AbdelrahmanWN23
Knowledge Tracing: A Survey.
Ghodai Abdelrahman, Qing Wang 0002, Bernardo Pereira Nunes
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
224:1-224:37
https://dblp.org/rec/journals/csur/AbdelrahmanWN23
https://doi.org/10.1145/3569576
Humans’ ability to transfer knowledge through teaching is one of the essential aspects for human intelligence. A human teacher can track the knowledge of students to customize the teaching on students’ needs. With the rise of online education platforms, there is a similar need for machines to track the knowledge of stu...
@article{DBLP:journals/csur/AbdelrahmanWN23, author = {Ghodai Abdelrahman and Qing Wang 0002 and Bernardo Pereira Nunes}, title = {Knowledge Tracing: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {11}, pages = {224...
1359833
journals/csur/Carrion23
Kubernetes Scheduling: Taxonomy, Ongoing Issues and Challenges.
Carmen Carrión 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
138:1-138:37
https://dblp.org/rec/journals/csur/Carrion23
https://doi.org/10.1145/3539606
Continuous integration enables the development of microservices-based applications using container virtualization technology. Container orchestration systems such as Kubernetes, which has become the de facto standard, simplify the deployment of container-based applications. However, developing efficient and well-define...
@article{DBLP:journals/csur/Carrion23, author = {Carmen Carrión 0001}, title = {Kubernetes Scheduling: Taxonomy, Ongoing Issues and Challenges.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {7}, pages = {138:1--138:37}, year = {2023}, url ...
1359933
journals/csur/KhanEMZKAI23
Level-5 Autonomous Driving - Are We There Yet? A Review of Research Literature.
Manzoor Ahmed Khan, Hesham El-Sayed, Sumbal Malik, Muhammad Talha Zia, Muhammad Jalal Khan, Najla Alkaabi, Henry Alexander Ignatious
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
27:1-27:38
https://dblp.org/rec/journals/csur/KhanEMZKAI23
https://doi.org/10.1145/3485767
Autonomous vehicles are revolutionizing transport and next-generation autonomous mobility. Such vehicles are promising to increase road safety, improve traffic efficiency, reduce vehicle emission, and improve mobility. However, for these vehicles to live up to their full potentials, there are significant research, tech...
@article{DBLP:journals/csur/KhanEMZKAI23, author = {Manzoor Ahmed Khan and Hesham El-Sayed and Sumbal Malik and Muhammad Talha Zia and Muhammad Jalal Khan and Najla Alkaabi and Henry Alexander Ignatious},...
1359992
journals/csur/NorthZS23
Lexical Complexity Prediction: An Overview.
Kai North, Marcos Zampieri, Matthew Shardlow
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
179:1-179:42
https://dblp.org/rec/journals/csur/NorthZS23
https://doi.org/10.1145/3557885
The occurrence of unknown words in texts significantly hinders reading comprehension. To improve accessibility for specific target populations, computational modeling has been applied to identify complex words in texts and substitute them for simpler alternatives. In this article, we present an overview of computationa...
@article{DBLP:journals/csur/NorthZS23, author = {Kai North and Marcos Zampieri and Matthew Shardlow}, title = {Lexical Complexity Prediction: An Overview.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {9}, pages = {179:1--17...
1359948
journals/csur/LiC23
LoRa Networking Techniques for Large-scale and Long-term IoT: A Down-to-top Survey.
Chenning Li, Zhichao Cao 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
52:1-52:36
https://dblp.org/rec/journals/csur/LiC23
https://doi.org/10.1145/3494673
Low-Power Wide-Area Networks (LPWANs) are an emerging Internet-of-Things (IoT) paradigm, which caters to large-scale and long-term sensory data collection demand. Among the commercialized LPWAN technologies, LoRa (Long Range) attracts much interest from academia and industry due to its open-source physical (PHY) layer ...
@article{DBLP:journals/csur/LiC23, author = {Chenning Li and Zhichao Cao 0001}, title = {LoRa Networking Techniques for Large-scale and Long-term IoT: A Down-to-top Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {3}, pages = {52:1--52:...
1359904
journals/csur/HeidariNUZ23
Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues.
Arash Heidari, Nima Jafari Navimipour, Mehmet Unal, Guodao Zhang
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
247:1-247:45
https://dblp.org/rec/journals/csur/HeidariNUZ23
https://doi.org/10.1145/3571728
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) has lately cropped up due to high adjustability to a broad range of unpredictable circumstances. In addition, Unmanned Aerial Vehicles (UAVs) could ...
@article{DBLP:journals/csur/HeidariNUZ23, author = {Arash Heidari and Nima Jafari Navimipour and Mehmet Unal and Guodao Zhang}, title = {Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues.}, ...
1359929
journals/csur/KanakisKW23
Machine Learning for Computer Systems and Networking: A Survey.
Marios Evangelos Kanakis, Ramin Khalili, Lin Wang
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
71:1-71:36
https://dblp.org/rec/journals/csur/KanakisKW23
https://doi.org/10.1145/3523057
Machine learning (ML) has become the de-facto approach for various scientific domains such as computer vision and natural language processing. Despite recent breakthroughs, machine learning has only made its way into the fundamental challenges in computer systems and networking recently. This article attempts to shed l...
@article{DBLP:journals/csur/KanakisKW23, author = {Marios Evangelos Kanakis and Ramin Khalili and Lin Wang}, title = {Machine Learning for Computer Systems and Networking: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {4}, ...
1359939
journals/csur/KottiGS23
Machine Learning for Software Engineering: A Tertiary Study.
Zoe Kotti, Rafaila Galanopoulou, Diomidis Spinellis
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
256:1-256:39
https://dblp.org/rec/journals/csur/KottiGS23
https://doi.org/10.1145/3572905
Machine learning (ML) techniques increase the effectiveness of software engineering (SE) lifecycle activities. We systematically collected, quality-assessed, summarized, and categorized 83 reviews in ML for SE published between 2009 and 2022, covering 6,117 primary studies. The SE areas most tackled with ML are softwar...
@article{DBLP:journals/csur/KottiGS23, author = {Zoe Kotti and Rafaila Galanopoulou and Diomidis Spinellis}, title = {Machine Learning for Software Engineering: A Tertiary Study.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {12}, ...
1359841
journals/csur/ChenLSSKMD23
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats.
Zhiyan Chen, Jinxin Liu 0001, Yu Shen 0001, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Petar Djukic
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
105:1-105:37
https://dblp.org/rec/journals/csur/ChenLSSKMD23
https://doi.org/10.1145/3530812
Despite its technological benefits, the Internet of Things (IoT) has cyber weaknesses due to vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely used against cyber threats in IoT networks with promising performance. An Advanced Persistent Threat (APT) is prominent for cybercriminals to...
@article{DBLP:journals/csur/ChenLSSKMD23, author = {Zhiyan Chen and Jinxin Liu 0001 and Yu Shen 0001 and Murat Simsek and Burak Kantarci and Hussein T. Mouftah and Petar Djukic}, title = {Machine...
1359835
journals/csur/Casadei23
Macroprogramming: Concepts, State of the Art, and Opportunities of Macroscopic Behaviour Modelling.
Roberto Casadei
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
275:1-275:37
https://dblp.org/rec/journals/csur/Casadei23
https://doi.org/10.1145/3579353
Macroprogramming refers to the theory and practice of expressing the macro(scopic) behaviour of a collective system using a single program. Macroprogramming approaches are motivated by the need of effectively capturing global/system-level aspects and the collective behaviour of multiple computational components, while ...
@article{DBLP:journals/csur/Casadei23, author = {Roberto Casadei}, title = {Macroprogramming: Concepts, State of the Art, and Opportunities of Macroscopic Behaviour Modelling.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {13s}, pages = {275:1--275:37}, year...
1360040
journals/csur/SarsenbayevaBVG23
Methodological Standards in Accessibility Research-PLXBCCR- on Motor Impairments: A Survey.
Zhanna Sarsenbayeva, Niels van Berkel, Eduardo Velloso, Jorge Gonçalves 0001, Vassilis Kostakos
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
143:1-143:35
https://dblp.org/rec/journals/csur/SarsenbayevaBVG23
https://doi.org/10.1145/3543509
The design and evaluation of accessibility technology is a core component of the computer science landscape, aiming to ensure that digital innovations are accessible to all. One of the most prominent and long-lasting areas of accessibility research focuses on motor impairments—deficiencies that affect the ability to mo...
@article{DBLP:journals/csur/SarsenbayevaBVG23, author = {Zhanna Sarsenbayeva and Niels van Berkel and Eduardo Velloso and Jorge Gonçalves 0001 and Vassilis Kostakos}, title = {Methodological Standards in Accessibility Research-PLXB...
1359986
journals/csur/Naghibijouybari23
Microarchitectural Attacks in Heterogeneous Systems: A Survey.
Hoda Naghibijouybari, Esmaeil Mohammadian Koruyeh, Nael B. Abu-Ghazaleh
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
142:1-142:40
https://dblp.org/rec/journals/csur/Naghibijouybari23
https://doi.org/10.1145/3544102
With the increasing proliferation of hardware accelerators and the predicted continued increase in the heterogeneity of future computing systems, it is necessary to understand the security properties of such systems. In this survey article, we consider the security of heterogeneous systems against microarchitectural at...
@article{DBLP:journals/csur/Naghibijouybari23, author = {Hoda Naghibijouybari and Esmaeil Mohammadian Koruyeh and Nael B. Abu-Ghazaleh}, title = {Microarchitectural Attacks in Heterogeneous Systems: A Survey.}, journal = {ACM Comput. Surv.}, volume = {...
1359999
journals/csur/OrphanouOKBGBTH23
Mitigating Bias in Algorithmic Systems - A Fish-eye View.
Kalia Orphanou, Jahna Otterbacher, Styliani Kleanthous, Khuyagbaatar Batsuren, Fausto Giunchiglia, Veronika Bogina, Avital Shulner-Tal, Alan Hartman, Tsvi Kuflik
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
87:1-87:37
https://dblp.org/rec/journals/csur/OrphanouOKBGBTH23
https://doi.org/10.1145/3527152
Mitigating bias in algorithmic systems is a critical issue drawing attention across communities within the information and computer sciences. Given the complexity of the problem and the involvement of multiple stakeholders—including developers, end users, and third-parties—there is a need to understand the landscape of...
@article{DBLP:journals/csur/OrphanouOKBGBTH23, author = {Kalia Orphanou and Jahna Otterbacher and Styliani Kleanthous and Khuyagbaatar Batsuren and Fausto Giunchiglia and Veronika Bogina and Avital Shulne...
1359831
journals/csur/CaoLLLHS23
Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence.
Jacky Cao, Kit-Yung Lam, Lik-Hang Lee, Xiaoli Liu 0005, Pan Hui 0001, Xiang Su 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
189:1-189:36
https://dblp.org/rec/journals/csur/CaoLLLHS23
https://doi.org/10.1145/3557999
Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with physical environments for mobile devices. MAR systems enable users to interact with MAR devices, such as smartphones and head-worn wearables, and perform seamless transitions from the physical world to a mixed world with digital entities....
@article{DBLP:journals/csur/CaoLLLHS23, author = {Jacky Cao and Kit-Yung Lam and Lik-Hang Lee and Xiaoli Liu 0005 and Pan Hui 0001 and Xiang Su 0001}, title = {Mobile Augmented Reality: User Interfaces, Frameworks...
1360071
journals/csur/TroyaSBW23
Model Transformation Testing and Debugging: A Survey.
Javier Troya, Sergio Segura, Lola Burgueño, Manuel Wimmer
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
72:1-72:39
https://dblp.org/rec/journals/csur/TroyaSBW23
https://doi.org/10.1145/3523056
Model transformations are the key technique in Model-Driven Engineering (MDE) to manipulate and construct models. As a consequence, the correctness of software systems built with MDE approaches relies mainly on the correctness of model transformations, and thus, detecting and locating bugs in model transformations have...
@article{DBLP:journals/csur/TroyaSBW23, author = {Javier Troya and Sergio Segura and Lola Burgueño and Manuel Wimmer}, title = {Model Transformation Testing and Debugging: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, nu...
1359836
journals/csur/CatalyurekDFGHMSSSSW23
More Recent Advances in (Hyper)Graph Partitioning.
Ümit V. Çatalyürek, Karen D. Devine, Marcelo Fonseca Faraj, Lars Gottesbüren, Tobias Heuer, Henning Meyerhenke, Peter Sanders 0001, Sebastian Schlag, Christian Schulz 0003, Daniel Seemaier, Dorothea Wagner
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
253:1-253:38
https://dblp.org/rec/journals/csur/CatalyurekDFGHMSSSSW23
https://doi.org/10.1145/3571808
In recent years, significant advances have been made in the design and evaluation of balanced (hyper)graph partitioning algorithms. We survey trends of the past decade in practical algorithms for balanced (hyper)graph partitioning together with future research directions. Our work serves as an update to a previous surv...
@article{DBLP:journals/csur/CatalyurekDFGHMSSSSW23, author = {Ümit V. Çatalyürek and Karen D. Devine and Marcelo Fonseca Faraj and Lars Gottesbüren and Tobias Heuer and Henning Meyerhenke and Peter Sander...
1359970
journals/csur/MaZGWS23
Multi-document Summarization via Deep Learning Techniques: A Survey.
Congbo Ma, Wei Emma Zhang, Mingyu Guo 0001, Hu Wang 0005, Quan Z. Sheng
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
102:1-102:37
https://dblp.org/rec/journals/csur/MaZGWS23
https://doi.org/10.1145/3529754
Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents. Our survey, the first of its kind, systematically overviews the recent deep-learning-based MDS models. We propose a novel taxonomy to summarize...
@article{DBLP:journals/csur/MaZGWS23, author = {Congbo Ma and Wei Emma Zhang and Mingyu Guo 0001 and Hu Wang 0005 and Quan Z. Sheng}, title = {Multi-document Summarization via Deep Learning Techniques: A Survey.}, journal = ...
1360056
journals/csur/SleemanKG23
Multimodal Classification: Current Landscape, Taxonomy and Future Directions.
William C. Sleeman, Rishabh Kapoor, Preetam Ghosh
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
150:1-150:31
https://dblp.org/rec/journals/csur/SleemanKG23
https://doi.org/10.1145/3543848
Multimodal classification research has been gaining popularity with new datasets in domains such as satellite imagery, biometrics, and medicine. Prior research has shown the benefits of combining data from multiple sources compared to traditional unimodal data that has led to the development of many novel multimodal ar...
@article{DBLP:journals/csur/SleemanKG23, author = {William C. Sleeman and Rishabh Kapoor and Preetam Ghosh}, title = {Multimodal Classification: Current Landscape, Taxonomy and Future Directions.}, journal = {ACM Comput. Surv.}, volume = {55}, number...
1359859
journals/csur/DasS23
Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges.
Ringki Das, Thoudam Doren Singh
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
270:1-270:38
https://dblp.org/rec/journals/csur/DasS23
https://doi.org/10.1145/3586075
Sentiment analysis has come long way since it was introduced as a natural language processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying attitudes and opinions toward an entity. It has become a powerful tool used by governments, businesses, medicine, marketing, and others. The tradition...
@article{DBLP:journals/csur/DasS23, author = {Ringki Das and Thoudam Doren Singh}, title = {Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {13s}, pages = {270:1--270:3...
1359806
journals/csur/AntonyshynSGM23
Multiple Mobile Robot Task and Motion Planning: A Survey.
Luke Antonyshyn, Jefferson Silveira, Sidney Givigi, Joshua A. Marshall
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
213:1-213:35
https://dblp.org/rec/journals/csur/AntonyshynSGM23
https://doi.org/10.1145/3564696
With recent advances in mobile robotics, autonomous systems, and artificial intelligence, there is a growing expectation that robots are able to solve complex problems. Many of these problems require multiple robots working cooperatively in a multi-robot system. Complex tasks may also include the interconnection of tas...
@article{DBLP:journals/csur/AntonyshynSGM23, author = {Luke Antonyshyn and Jefferson Silveira and Sidney Givigi and Joshua A. Marshall}, title = {Multiple Mobile Robot Task and Motion Planning: A Survey.}, journal = {ACM Comput. Surv.}, vol...
1360110
journals/csur/ZhouLWF23
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding.
Jingya Zhou, Ling Liu 0001, Wenqi Wei 0001, Jianxi Fan
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
38:1-38:35
https://dblp.org/rec/journals/csur/ZhouLWF23
https://doi.org/10.1145/3491206
Network representation learning (NRL) advances the conventional graph mining of social networks, knowledge graphs, and complex biomedical and physics information networks. Dozens of NRL algorithms have been reported in the literature. Most of them focus on learning node embeddings for homogeneous networks, but they dif...
@article{DBLP:journals/csur/ZhouLWF23, author = {Jingya Zhou and Ling Liu 0001 and Wenqi Wei 0001 and Jianxi Fan}, title = {Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding.}, journal = {ACM Comput. Su...
1359789
journals/csur/AdelekeBG23
Network Traffic Generation: A Survey and Methodology.
Oluwamayowa Ade Adeleke, Nicholas Bastin, Deniz Gurkan
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
28:1-28:23
https://dblp.org/rec/journals/csur/AdelekeBG23
https://doi.org/10.1145/3488375
Network traffic workloads are widely utilized in applied research to verify correctness and to measure the impact of novel algorithms, protocols, and network functions. We provide a comprehensive survey of traffic generators referenced by researchers over the last 13 years, providing in-depth classification of the func...
@article{DBLP:journals/csur/AdelekeBG23, author = {Oluwamayowa Ade Adeleke and Nicholas Bastin and Deniz Gurkan}, title = {Network Traffic Generation: A Survey and Methodology.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {2}, pag...
1359846
journals/csur/Chitty-VenkataS23
Neural Architecture Search Survey: A Hardware Perspective.
Krishna Teja Chitty-Venkata, Arun K. Somani
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
78:1-78:36
https://dblp.org/rec/journals/csur/Chitty-VenkataS23
https://doi.org/10.1145/3524500
We review the problem of automating hardware-aware architectural design process of Deep Neural Networks (DNNs). The field of Convolutional Neural Network (CNN) algorithm design has led to advancements in many fields, such as computer vision, virtual reality, and autonomous driving. The end-to-end design process of a CN...
@article{DBLP:journals/csur/Chitty-VenkataS23, author = {Krishna Teja Chitty-Venkata and Arun K. Somani}, title = {Neural Architecture Search Survey: A Hardware Perspective.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {4}, pages = {78:1--78...
1360021
journals/csur/RanathungaLSSAK23
Neural Machine Translation for Low-resource Languages: A Survey.
Surangika Ranathunga, En-Shiun Annie Lee, Marjana Prifti Skenduli, Ravi Shekhar, Mehreen Alam, Rishemjit Kaur
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
229:1-229:37
https://dblp.org/rec/journals/csur/RanathungaLSSAK23
https://doi.org/10.1145/3567592
Neural Machine Translation (NMT) has seen tremendous growth in the last ten years since the early 2000s and has already entered a mature phase. While considered the most widely used solution for Machine Translation, its performance on low-resource language pairs remains sub-optimal compared to the high-resource counter...
@article{DBLP:journals/csur/RanathungaLSSAK23, author = {Surangika Ranathunga and En-Shiun Annie Lee and Marjana Prifti Skenduli and Ravi Shekhar and Mehreen Alam and Rishemjit Kaur}, title = {Neural Machine Trans...
1359880
journals/csur/GeLILS23
Neural Network-Based Financial Volatility Forecasting: A Systematic Review.
Wenbo Ge, Pooia Lalbakhsh, Leigh Isai, Artem Lenskiy, Hanna Suominen
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
14:1-14:30
https://dblp.org/rec/journals/csur/GeLILS23
https://doi.org/10.1145/3483596
Volatility forecasting is an important aspect of finance as it dictates many decisions of market players. A snapshot of state-of-the-art neural network–based financial volatility forecasting was generated by examining 35 studies, published after 2015. Several issues were identified, such as the inability for easy and m...
@article{DBLP:journals/csur/GeLILS23, author = {Wenbo Ge and Pooia Lalbakhsh and Leigh Isai and Artem Lenskiy and Hanna Suominen}, title = {Neural Network-Based Financial Volatility Forecasting: A Systematic Review.}, journal ...
1359858
journals/csur/DannRF23
Non-relational Databases on FPGAs: Survey, Design Decisions, Challenges.
Jonas Dann, Daniel Ritter 0001, Holger Fröning
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
225:1-225:37
https://dblp.org/rec/journals/csur/DannRF23
https://doi.org/10.1145/3568990
Non-relational database systems (NRDS) such as graph and key-value have gained attention in various trending business and analytical application domains. However, while CPU performance scaling becomes increasingly more difficult, field-programmable gate arrays (FPGA)- accelerated NRDS have not been systematically studi...
@article{DBLP:journals/csur/DannRF23, author = {Jonas Dann and Daniel Ritter 0001 and Holger Fröning}, title = {Non-relational Databases on FPGAs: Survey, Design Decisions, Challenges.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {1...
1359853
journals/csur/CruzAV23
On the Edge of the Deployment: A Survey on Multi-access Edge Computing.
Pedro Cruz 0001, Nadjib Achir, Aline Carneiro Viana
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
99:1-99:34
https://dblp.org/rec/journals/csur/CruzAV23
https://doi.org/10.1145/3529758
Multi-Access Edge Computing (MEC) attracts much attention from the scientific community due to its scientific, technical, and commercial implications. In particular, the European Telecommunications Standards Institute (ETSI) standard convergence consolidates the discussions around MEC. Still, the existing MEC practical...
@article{DBLP:journals/csur/CruzAV23, author = {Pedro Cruz 0001 and Nadjib Achir and Aline Carneiro Viana}, title = {On the Edge of the Deployment: A Survey on Multi-access Edge Computing.}, journal = {ACM Comput. Surv.}, volume = {55}, number ...
1360113
journals/csur/ZiniA23
On the Explainability of Natural Language Processing Deep Models.
Julia El Zini, Mariette Awad
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
103:1-103:31
https://dblp.org/rec/journals/csur/ZiniA23
https://doi.org/10.1145/3529755
Despite their success, deep networks are used as black-box models with outputs that are not easily explainable during the learning and the prediction phases. This lack of interpretability is significantly limiting the adoption of such models in domains where decisions are critical such as the medical and legal fields. ...
@article{DBLP:journals/csur/ZiniA23, author = {Julia El Zini and Mariette Awad}, title = {On the Explainability of Natural Language Processing Deep Models.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {5}, pages = {103:1--103:31}, year ...
1359794
journals/csur/Al-YahyaMM23
On the Structure of the Boolean Satisfiability Problem: A Survey.
Tasniem Nasser Al-Yahya, Mohamed El Bachir Menai, Hassan Mathkour
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
46:1-46:34
https://dblp.org/rec/journals/csur/Al-YahyaMM23
https://doi.org/10.1145/3491210
The Boolean satisfiability problem (SAT) is a fundamental NP-complete decision problem in automated reasoning and mathematical logic. As evidenced by the results of SAT competitions, the performance of SAT solvers varies substantially between different SAT categories (random, crafted, and industrial). A suggested expla...
@article{DBLP:journals/csur/Al-YahyaMM23, author = {Tasniem Nasser Al-Yahya and Mohamed El Bachir Menai and Hassan Mathkour}, title = {On the Structure of the Boolean Satisfiability Problem: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, n...
1360006
journals/csur/ParmarCRR23
Open-world Machine Learning: Applications, Challenges, and Opportunities.
Jitendra Parmar, Satyendra Singh Chouhan, Vaskar Raychoudhury, Santosh Singh Rathore
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
205:1-205:37
https://dblp.org/rec/journals/csur/ParmarCRR23
https://doi.org/10.1145/3561381
Traditional machine learning, mainly supervised learning, follows the assumptions of closed-world learning, i.e., for each testing class, a training class is available. However, such machine learning models fail to identify the classes, which were not available during training time. These classes can be referred to as ...
@article{DBLP:journals/csur/ParmarCRR23, author = {Jitendra Parmar and Satyendra Singh Chouhan and Vaskar Raychoudhury and Santosh Singh Rathore}, title = {Open-world Machine Learning: Applications, Challenges, and Opportunities.}, journal = ...
1359908
journals/csur/HijmaHSWB23
Optimization Techniques for GPU Programming.
Pieter Hijma, Stijn Heldens, Alessio Sclocco, Ben van Werkhoven, Henri E. Bal
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
239:1-239:81
https://dblp.org/rec/journals/csur/HijmaHSWB23
https://doi.org/10.1145/3570638
In the past decade, Graphics Processing Units have played an important role in the field of high-performance computing and they still advance new fields such as IoT, autonomous vehicles, and exascale computing. It is therefore important to understand how to extract performance from these processors, something that is n...
@article{DBLP:journals/csur/HijmaHSWB23, author = {Pieter Hijma and Stijn Heldens and Alessio Sclocco and Ben van Werkhoven and Henri E. Bal}, title = {Optimization Techniques for GPU Programming.}, journal = {ACM Comput. Su...
1359852
journals/csur/CostaBCA23
Orchestration in Fog Computing: A Comprehensive Survey.
Breno G. S. Costa, João Bachiega Jr., Leonardo Rebouças de Carvalho, Aletéia P. F. Araújo
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
29:1-29:34
https://dblp.org/rec/journals/csur/CostaBCA23
https://doi.org/10.1145/3486221
Fog computing is a paradigm that brings computational resources and services to the network edge in the vicinity of user devices, lowering latency and connecting with cloud computing resources. Unlike cloud computing, fog resources are based on constrained and heterogeneous nodes whose connectivity can be unstable. In ...
@article{DBLP:journals/csur/CostaBCA23, author = {Breno G. S. Costa and João Bachiega Jr. and Leonardo Rebouças de Carvalho and Aletéia P. F. Araújo}, title = {Orchestration in Fog Computing: A Comprehensive Survey.}, journal = {ACM Comput. S...
1359849
journals/csur/CicalaWWLBLY23
PURE: A Framework for Analyzing Proximity-based Contact Tracing Protocols.
Fabrizio Cicala, Weicheng Wang, Tianhao Wang 0001, Ninghui Li 0001, Elisa Bertino, Faming Liang, Yang Yang 0026
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
3:1-3:36
https://dblp.org/rec/journals/csur/CicalaWWLBLY23
https://doi.org/10.1145/3485131
Many proximity-based tracing (PCT) protocols have been proposed and deployed to combat the spreading of COVID-19. In this article, we take a systematic approach to analyze PCT protocols. We identify a list of desired properties of a contact tracing design from the four aspects of Privacy, Utility, Resiliency, and Effic...
@article{DBLP:journals/csur/CicalaWWLBLY23, author = {Fabrizio Cicala and Weicheng Wang and Tianhao Wang 0001 and Ninghui Li 0001 and Elisa Bertino and Faming Liang and Yang Yang 0026}, title = {...
1359968
journals/csur/LuoWXWTC23
Path Planning for UAV Communication Networks: Related Technologies, Solutions, and Opportunities.
Junhai Luo, Zhiyan Wang, Ming Xia, Linyong Wu, Yuxin Tian, Yu Chen
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
193:1-193:37
https://dblp.org/rec/journals/csur/LuoWXWTC23
https://doi.org/10.1145/3560261
Path planning has been a hot and challenging field in unmanned aerial vehicles (UAV). With the increasing demand of society and the continuous progress of technologies, UAV communication networks (UAVCN) are also flourishing. The mobility of UAV nodes allows for flexible network deployment, but some challenges are brou...
@article{DBLP:journals/csur/LuoWXWTC23, author = {Junhai Luo and Zhiyan Wang and Ming Xia and Linyong Wu and Yuxin Tian and Yu Chen}, title = {Path Planning for UAV Communication Networks: Related Technologies, So...
1359926
journals/csur/JonesDW23
Path-Planning for Unmanned Aerial Vehicles with Environment Complexity Considerations: A Survey.
Michael R. Jones, Soufiene Djahel, Kristopher Welsh
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
234:1-234:39
https://dblp.org/rec/journals/csur/JonesDW23
https://doi.org/10.1145/3570723
Unmanned aerial vehicles (UAVs) have the potential to make a significant impact in a range of scenarios where it is too risky or too costly to rely on human labour. Fleets of autonomous UAVs, which complete tasks collaboratively while managing their basic flight and related tasks independently, present further opportun...
@article{DBLP:journals/csur/JonesDW23, author = {Michael R. Jones and Soufiene Djahel and Kristopher Welsh}, title = {Path-Planning for Unmanned Aerial Vehicles with Environment Complexity Considerations: A Survey.}, journal = {ACM Comput. Surv.}, volume ...
1359958
journals/csur/LinXWSLX23
Performance Interference of Virtual Machines: A Survey.
Weiwei Lin 0001, Chennian Xiong, Wentai Wu, Fang Shi, Keqin Li 0001, Minxian Xu
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
254:1-254:37
https://dblp.org/rec/journals/csur/LinXWSLX23
https://doi.org/10.1145/3573009
The rapid development of cloud computing with virtualization technology has benefited both academia and industry. For any cloud data center at scale, one of the primary challenges is how to effectively orchestrate a large number of virtual machines (VMs) in a performance-aware and cost-effective manner. A key problem h...
@article{DBLP:journals/csur/LinXWSLX23, author = {Weiwei Lin 0001 and Chennian Xiong and Wentai Wu and Fang Shi and Keqin Li 0001 and Minxian Xu}, title = {Performance Interference of Virtual Machines: A Survey.},...
1359793
journals/csur/Al-MeerA23
Physical Unclonable Functions (PUF) for IoT Devices.
Abdulaziz Al-Meer, Saif Al-Kuwari
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
314:1-314:31
https://dblp.org/rec/journals/csur/Al-MeerA23
https://doi.org/10.1145/3591464
Physical Unclonable Function (PUF) has recently attracted interest from both industry and academia as a potential alternative approach to secure Internet of Things (IoT) devices from the more traditional computational-based approach using conventional cryptography. PUF is a promising solution for lightweight security, ...
@article{DBLP:journals/csur/Al-MeerA23, author = {Abdulaziz Al-Meer and Saif Al-Kuwari}, title = {Physical Unclonable Functions (PUF) for IoT Devices.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {14s}, pages = {314:1--314:31}, year ...
1360001
journals/csur/PallewattaKB23
Placement of Microservices-based IoT Applications in Fog Computing: A Taxonomy and Future Directions.
Samodha Pallewatta, Vassilis Kostakos, Rajkumar Buyya
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
321:1-321:43
https://dblp.org/rec/journals/csur/PallewattaKB23
https://doi.org/10.1145/3592598
The Fog computing paradigm utilises distributed, heterogeneous and resource-constrained devices at the edge of the network for efficient deployment of latency-critical and bandwidth-hungry IoT application services. Moreover, MicroService Architecture (MSA) is increasingly adopted to keep up with the rapid development a...
@article{DBLP:journals/csur/PallewattaKB23, author = {Samodha Pallewatta and Vassilis Kostakos and Rajkumar Buyya}, title = {Placement of Microservices-based IoT Applications in Fog Computing: A Taxonomy and Future Directions.}, journal = {ACM Comput. Surv.}, ...
1359972
journals/csur/MadsenRC23
Post-hoc Interpretability for Neural NLP: A Survey.
Andreas Madsen, Siva Reddy, Sarath Chandar
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
155:1-155:42
https://dblp.org/rec/journals/csur/MadsenRC23
https://doi.org/10.1145/3546577
Neural networks for NLP are becoming increasingly complex and widespread, and there is a growing concern if these models are responsible to use. Explaining models helps to address the safety and ethical concerns and is essential for accountability. Interpretability serves to provide these explanations in terms that are...
@article{DBLP:journals/csur/MadsenRC23, author = {Andreas Madsen and Siva Reddy and Sarath Chandar}, title = {Post-hoc Interpretability for Neural NLP: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {8}, pages = {15...
1359964
journals/csur/LiuYFJHN23
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.
Pengfei Liu 0003, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
195:1-195:35
https://dblp.org/rec/journals/csur/LiuYFJHN23
https://doi.org/10.1145/3560815
This article surveys and organizes research works in a new paradigm in natural language processing, which we dub “prompt-based learning.” Unlike traditional supervised learning, which trains a model to take in an input x and predict an output y as P(y|x), prompt-based learning is based on language models that model the...
@article{DBLP:journals/csur/LiuYFJHN23, author = {Pengfei Liu 0003 and Weizhe Yuan and Jinlan Fu and Zhengbao Jiang and Hiroaki Hayashi and Graham Neubig}, title = {Pre-train, Prompt, and Predict: A Systematic Sur...
1359856
journals/csur/DalzochioKBNPCP23
Predictive Maintenance in the Military Domain: A Systematic Review of the Literature.
Jovani Dalzochio, Rafael Kunst, Jorge Luis Victória Barbosa, Pedro Clarindo da Silva Neto, Edison Pignaton, Carla Schwengber ten Caten, Alex de Lima Teodoro da Penha
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
267:1-267:30
https://dblp.org/rec/journals/csur/DalzochioKBNPCP23
https://doi.org/10.1145/3586100
Military troops rely on maintenance management projects and operations to preserve the materials’ ordinary conditions or restore them to combat or military training. Maintenance management in the defense domain has its particularities, such as those related to the type of equipment operated, the environment and operati...
@article{DBLP:journals/csur/DalzochioKBNPCP23, author = {Jovani Dalzochio and Rafael Kunst and Jorge Luis Victória Barbosa and Pedro Clarindo da Silva Neto and Edison Pignaton and Carla Schwengber ten Caten and ...
1359900
journals/csur/HasanGD23
Presentation-level Privacy Protection Techniques for Automated Face Recognition - A Survey.
Md. Rezwan Hasan, Richard M. Guest, Farzin Deravi
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
286:1-286:27
https://dblp.org/rec/journals/csur/HasanGD23
https://doi.org/10.1145/3583135
The use of Biometric Facial Recognition (FR) systems have become increasingly widespread, especially since the advent of deep neural network-based architectures. Although FR systems provide substantial benefits in terms of security and safety, the use of these systems also raises significant privacy concerns. This arti...
@article{DBLP:journals/csur/HasanGD23, author = {Md. Rezwan Hasan and Richard M. Guest and Farzin Deravi}, title = {Presentation-level Privacy Protection Techniques for Automated Face Recognition - A Survey.}, journal = {ACM Comput. Surv.}, volume = {5...
1359965
journals/csur/LiuZZZ23
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks.
Chi Liu 0002, Tianqing Zhu, Jun Zhang 0010, Wanlei Zhou 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
161:1-161:35
https://dblp.org/rec/journals/csur/LiuZZZ23
https://doi.org/10.1145/3547299
Image sharing on online social networks (OSNs) has become an indispensable part of daily social activities, but it has also increased the risk of privacy invasion. An online image can reveal various types of sensitive information, prompting the public to rethink individual privacy needs in OSN image sharing critically....
@article{DBLP:journals/csur/LiuZZZ23, author = {Chi Liu 0002 and Tianqing Zhu and Jun Zhang 0010 and Wanlei Zhou 0001}, title = {Privacy Intelligence: A Survey on Image Privacy in Online Social Networks.}, journal = {ACM Comput. Surv.}, vol...
1359899
journals/csur/HasanBB23
Privacy-Preserving Reputation Systems Based on Blockchain and Other Cryptographic Building Blocks: A Survey.
Omar Hasan, Lionel Brunie, Elisa Bertino
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
32:1-32:37
https://dblp.org/rec/journals/csur/HasanBB23
https://doi.org/10.1145/3490236
The purpose of a reputation system is to hold the users of a distributed application accountable for their behavior. The reputation of a user is computed as an aggregate of the feedback provided by fellow users in the system. Truthful feedback is clearly a prerequisite for computing a reputation score that accurately r...
@article{DBLP:journals/csur/HasanBB23, author = {Omar Hasan and Lionel Brunie and Elisa Bertino}, title = {Privacy-Preserving Reputation Systems Based on Blockchain and Other Cryptographic Building Blocks: A Survey.}, journal = {ACM Comput. Surv.}, volume ...
1359951
journals/csur/LiPRSRN23
Private Graph Data Release: A Survey.
Yang Li 0182, Michael Purcell, Thierry Rakotoarivelo, David Smith 0001, Thilina Ranbaduge, Kee Siong Ng
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
226:1-226:39
https://dblp.org/rec/journals/csur/LiPRSRN23
https://doi.org/10.1145/3569085
The application of graph analytics to various domains has yielded tremendous societal and economical benefits in recent years. However, the increasingly widespread adoption of graph analytics comes with a commensurate increase in the need to protect private information in graph data, especially in light of the many pri...
@article{DBLP:journals/csur/LiPRSRN23, author = {Yang Li 0182 and Michael Purcell and Thierry Rakotoarivelo and David Smith 0001 and Thilina Ranbaduge and Kee Siong Ng}, title = {Private Graph Data Release: A Surv...
1359861
journals/csur/DeyD23
Progress in Multivariate Cryptography: Systematic Review, Challenges, and Research Directions.
Jayashree Dey, Ratna Dutta
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
246:1-246:34
https://dblp.org/rec/journals/csur/DeyD23
https://doi.org/10.1145/3571071
Multivariate Public Key Cryptosystem (MPKC) seem to be promising toward future digital security even in the presence of quantum adversaries. MPKCs derive their security from the difficulty of solving a random system of multivariate polynomial equations over a finite field, which is known to be an NP-hard problem. This ...
@article{DBLP:journals/csur/DeyD23, author = {Jayashree Dey and Ratna Dutta}, title = {Progress in Multivariate Cryptography: Systematic Review, Challenges, and Research Directions.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {12}, pages = ...
1360114
journals/csur/ZipperleGCD23
Provenance-based Intrusion Detection Systems: A Survey.
Michael Zipperle, Florian Gottwalt, Elizabeth Chang 0001, Tharam S. Dillon
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
135:1-135:36
https://dblp.org/rec/journals/csur/ZipperleGCD23
https://doi.org/10.1145/3539605
. Due to their high false-positive rate and the required effort of security experts to validate them, incidents can remain undetected for up to several months. As a result, enterprises suffer from data loss and severe financial damage. Recent research explored data provenance for Host-based Intrusion Detection Systems ...
@article{DBLP:journals/csur/ZipperleGCD23, author = {Michael Zipperle and Florian Gottwalt and Elizabeth Chang 0001 and Tharam S. Dillon}, title = {Provenance-based Intrusion Detection Systems: A Survey.}, journal = {ACM Comput. Surv.}, vol...
1360061
journals/csur/SozzoCZSSS23
Pushing the Level of Abstraction of Digital System Design: A Survey on How to Program FPGAs.
Emanuele Del Sozzo, Davide Conficconi, Alberto Zeni, Mirko Salaris, Donatella Sciuto, Marco D. Santambrogio
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
106:1-106:48
https://dblp.org/rec/journals/csur/SozzoCZSSS23
https://doi.org/10.1145/3532989
Field Programmable Gate Arrays (FPGAs) are spatial architectures with a heterogeneous reconfigurable fabric. They are state-of-the-art for prototyping, telecommunications, embedded, and an emerging alternative for cloud-scale acceleration. However, FPGA adoption found limitations in their programmability and required k...
@article{DBLP:journals/csur/SozzoCZSSS23, author = {Emanuele Del Sozzo and Davide Conficconi and Alberto Zeni and Mirko Salaris and Donatella Sciuto and Marco D. Santambrogio}, title = {Pushing the Level of Abstra...
1360028
journals/csur/RogersGA23
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension.
Anna Rogers, Matt Gardner 0001, Isabelle Augenstein
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
197:1-197:45
https://dblp.org/rec/journals/csur/RogersGA23
https://doi.org/10.1145/3560260
Alongside huge volumes of research on deep learning models in NLP in the recent years, there has been much work on benchmark datasets needed to track modeling progress. Question answering and reading comprehension have been particularly prolific in this regard, with more than 80 new datasets appearing in the past 2 yea...
@article{DBLP:journals/csur/RogersGA23, author = {Anna Rogers and Matt Gardner 0001 and Isabelle Augenstein}, title = {QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension.}, journal = {ACM Comput. Surv.}, volume...
1360047
journals/csur/SerranoCPP23
Quantum Software Components and Platforms: Overview and Quality Assessment.
Manuel A. Serrano, José A. Cruz-Lemus, Ricardo Pérez-Castillo, Mario Piattini
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
164:1-164:31
https://dblp.org/rec/journals/csur/SerranoCPP23
https://doi.org/10.1145/3548679
Quantum computing is the latest revolution in computing and will probably come to be seen as an advance as important as the steam engine or the information society. In the last few decades, our understanding of quantum computers has expanded and multiple efforts have been made to create languages, libraries, tools, and...
@article{DBLP:journals/csur/SerranoCPP23, author = {Manuel A. Serrano and José A. Cruz-Lemus and Ricardo Pérez-Castillo and Mario Piattini}, title = {Quantum Software Components and Platforms: Overview and Quality Assessment.}, journal = {ACM...
1360031
journals/csur/RosenfeldBM23
Query Processing on Heterogeneous CPU/GPU Systems.
Viktor Rosenfeld, Sebastian Breß, Volker Markl
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
11:1-11:38
https://dblp.org/rec/journals/csur/RosenfeldBM23
https://doi.org/10.1145/3485126
Due to their high computational power and internal memory bandwidth, graphic processing units (GPUs) have been extensively studied by the database systems research community. A heterogeneous query processing system that employs CPUs and GPUs at the same time has to solve many challenges, including how to distribute the...
@article{DBLP:journals/csur/RosenfeldBM23, author = {Viktor Rosenfeld and Sebastian Breß and Volker Markl}, title = {Query Processing on Heterogeneous CPU/GPU Systems.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {2}, pages ...
1360075
journals/csur/VelayudhanHDW23
Recent Advances in Baggage Threat Detection: A Comprehensive and Systematic Survey.
Divya Velayudhan, Taimur Hassan, Ernesto Damiani, Naoufel Werghi
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
165:1-165:38
https://dblp.org/rec/journals/csur/VelayudhanHDW23
https://doi.org/10.1145/3549932
X-ray imagery systems have enabled security personnel to identify potential threats contained within the baggage and cargo since the early 1970s. However, the manual process of screening the threatening items is time-consuming and vulnerable to human error. Hence, researchers have utilized recent advancements in comput...
@article{DBLP:journals/csur/VelayudhanHDW23, author = {Divya Velayudhan and Taimur Hassan and Ernesto Damiani and Naoufel Werghi}, title = {Recent Advances in Baggage Threat Detection: A Comprehensive and Systematic Survey.}, journal = {ACM C...
1360080
journals/csur/WangJSO23
Recent Advances in Bayesian Optimization.
Xilu Wang 0001, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
287:1-287:36
https://dblp.org/rec/journals/csur/WangJSO23
https://doi.org/10.1145/3582078
Bayesian optimization has emerged at the forefront of expensive black-box optimization due to its data efficiency. Recent years have witnessed a proliferation of studies on the development of new Bayesian optimization algorithms and their applications. Hence, this article attempts to provide a comprehensive and updated...
@article{DBLP:journals/csur/WangJSO23, author = {Xilu Wang 0001 and Yaochu Jin and Sebastian Schmitt and Markus Olhofer}, title = {Recent Advances in Bayesian Optimization.}, journal = {ACM Comput. Surv.}, volume = {55}, number ...
1359959
journals/csur/LiuBSM23
Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective.
Wu Liu 0005, Qian Bao, Yu Sun 0030, Tao Mei 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
80:1-80:41
https://dblp.org/rec/journals/csur/LiuBSM23
https://doi.org/10.1145/3524497
Estimation of the human pose from a monocular camera has been an emerging research topic in the computer vision community with many applications. Recently, benefiting from the deep learning technologies, a significant amount of research efforts have advanced the monocular human pose estimation both in 2D and 3D areas. ...
@article{DBLP:journals/csur/LiuBSM23, author = {Wu Liu 0005 and Qian Bao and Yu Sun 0030 and Tao Mei 0001}, title = {Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective.}, journal = {ACM Comput. Surv.}, ...
1359894
journals/csur/GuoWQL0023
Recent Trends in Task and Motion Planning for Robotics: A Survey.
Huihui Guo, Fan Wu 0016, Yunchuan Qin, Ruihui Li, Keqin Li 0001, Kenli Li 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
289:1-289:36
https://dblp.org/rec/journals/csur/GuoWQL0023
https://doi.org/10.1145/3583136
Autonomous robots are increasingly served in real-world unstructured human environments with complex long-horizon tasks, such as restaurant serving and office delivery. Task and motion planning (TAMP) is a recent research method in Artificial Intelligence Planning for these applications. TAMP integrates high-level abst...
@article{DBLP:journals/csur/GuoWQL0023, author = {Huihui Guo and Fan Wu 0016 and Yunchuan Qin and Ruihui Li and Keqin Li 0001 and Kenli Li 0001}, title = {Recent Trends in Task and Motion Planning for Robotics: A ...
1359791
journals/csur/AfsarCF23
Reinforcement Learning based Recommender Systems: A Survey.
Mohammad Mehdi Afsar, Trafford Crump, Behrouz H. Far
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
145:1-145:38
https://dblp.org/rec/journals/csur/AfsarCF23
https://doi.org/10.1145/3543846
Recommender systems (RSs) have become an inseparable part of our everyday lives. They help us find our favorite items to purchase, our friends on social networks, and our favorite movies to watch. Traditionally, the recommendation problem was considered to be a classification or prediction problem, but it is now widely...
@article{DBLP:journals/csur/AfsarCF23, author = {Mohammad Mehdi Afsar and Trafford Crump and Behrouz H. Far}, title = {Reinforcement Learning based Recommender Systems: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {7}, p...
1360099
journals/csur/YuLNY23
Reinforcement Learning in Healthcare: A Survey.
Chao Yu 0004, Jiming Liu 0001, Shamim Nemati, Guosheng Yin
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
5:1-5:36
https://dblp.org/rec/journals/csur/YuLNY23
https://doi.org/10.1145/3477600
As a subfield of machine learning, reinforcement learning (RL) aims at optimizing decision making by using interaction samples of an agent with its environment and the potentially delayed feedbacks. In contrast to traditional supervised learning that typically relies on one-shot, exhaustive, and supervised reward signa...
@article{DBLP:journals/csur/YuLNY23, author = {Chao Yu 0004 and Jiming Liu 0001 and Shamim Nemati and Guosheng Yin}, title = {Reinforcement Learning in Healthcare: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number ...
1359905
journals/csur/HeinlGB23
Remote Electronic Voting in Uncontrolled Environments: A Classifying Survey.
Michael P. Heinl, Simon Gölz, Christoph Bösch 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
167:1-167:44
https://dblp.org/rec/journals/csur/HeinlGB23
https://doi.org/10.1145/3551386
Remote electronic voting, often called online or Internet voting, has been subject to research for the last four decades. It is regularly discussed in public debates, especially in the context of enabling voters to conveniently cast their ballot from home using their personal devices. Since these devices are not under ...
@article{DBLP:journals/csur/HeinlGB23, author = {Michael P. Heinl and Simon Gölz and Christoph Bösch 0001}, title = {Remote Electronic Voting in Uncontrolled Environments: A Classifying Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number ...
1360049
journals/csur/ShahbaziLAJ23
Representation Bias in Data: A Survey on Identification and Resolution Techniques.
Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
293:1-293:39
https://dblp.org/rec/journals/csur/ShahbaziLAJ23
https://doi.org/10.1145/3588433
Data-driven algorithms are only as good as the data they work with, while datasets, especially social data, often fail to represent minorities adequately. Representation Bias in data can happen due to various reasons, ranging from historical discrimination to selection and sampling biases in the data acquisition and pr...
@article{DBLP:journals/csur/ShahbaziLAJ23, author = {Nima Shahbazi and Yin Lin and Abolfazl Asudeh and H. V. Jagadish}, title = {Representation Bias in Data: A Survey on Identification and Resolution Techniques.}, journal = {ACM Comput. Surv....
1359921
journals/csur/JeyarajBAGP23
Resource Management in Cloud and Cloud-influenced Technologies for Internet of Things Applications.
Rathinaraja Jeyaraj, Anandkumar Balasubramaniam, Ajay Kumara M. A., Nadra Guizani, Anand Paul 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
242:1-242:37
https://dblp.org/rec/journals/csur/JeyarajBAGP23
https://doi.org/10.1145/3571729
The trend of adopting Internet of Things (IoT) in healthcare, smart cities, Industry 4.0, and so on is increasing by means of cloud computing, which provides on-demand storage and computation facilities over the Internet. To meet specific requirements of IoT applications, the cloud has also shifted its service offering...
@article{DBLP:journals/csur/JeyarajBAGP23, author = {Rathinaraja Jeyaraj and Anandkumar Balasubramaniam and Ajay Kumara M. A. and Nadra Guizani and Anand Paul 0001}, title = {Resource Management in Cloud and Cloud-influenced Techno...
1360105
journals/csur/ZhangD23
Resource Management in Mobile Edge Computing: A Comprehensive Survey.
Xiaojie Zhang, Saptarshi Debroy
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
291:1-291:37
https://dblp.org/rec/journals/csur/ZhangD23
https://doi.org/10.1145/3589639
With the evolution of 5G and Internet of Things technologies, Mobile Edge Computing (MEC) has emerged as a major computing paradigm. Compared to cloud computing, MEC integrates network control, computing, and storage to customizable, fast, reliable, and secure distributed services that are closer to the user and data s...
@article{DBLP:journals/csur/ZhangD23, author = {Xiaojie Zhang and Saptarshi Debroy}, title = {Resource Management in Mobile Edge Computing: A Comprehensive Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {13s}, pages = {291:1--291:37}, ...
1359945
journals/csur/LeeMMMHRDHV23
Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques.
JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua 0001, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
276:1-276:36
https://dblp.org/rec/journals/csur/LeeMMMHRDHV23
https://doi.org/10.1145/3587095
Convolutional neural networks (CNNs) are used in our daily life, including self-driving cars, virtual assistants, social network services, healthcare services, and face recognition, among others. However, deep CNNs demand substantial compute resources during training and inference. The machine learning community has ma...
@article{DBLP:journals/csur/LeeMMMHRDHV23, author = {JunKyu Lee and Lev Mukhanov and Amir Sabbagh Molahosseini and Umar Ibrahim Minhas and Yang Hua 0001 and Jesús Martínez del Rincón and Kiril Dichev and ...
1360050
journals/csur/SharmaBSJB23
SLA Management in Intent-Driven Service Management Systems: A Taxonomy and Future Directions.
Yogesh Sharma, Deval Bhamare, Nishanth Sastry, Bahman Javadi, Rajkumar Buyya
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
292:1-292:38
https://dblp.org/rec/journals/csur/SharmaBSJB23
https://doi.org/10.1145/3589339
Traditional, slow and error-prone human-driven methods to configure and manage Internet service requests are proving unsatisfactory. This is due to an increase in Internet applications with stringent quality of service (QoS) requirements. Which demands faster and fault-free service deployment with minimal or without hu...
@article{DBLP:journals/csur/SharmaBSJB23, author = {Yogesh Sharma and Deval Bhamare and Nishanth Sastry and Bahman Javadi and Rajkumar Buyya}, title = {SLA Management in Intent-Driven Service Management Systems: A Taxonomy and Futu...
1359868
journals/csur/FahyYG23
Scarcity of Labels in Non-Stationary Data Streams: A Survey.
Conor Fahy, Shengxiang Yang, Mario Gongora 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
40:1-40:39
https://dblp.org/rec/journals/csur/FahyYG23
https://doi.org/10.1145/3494832
In a dynamic stream there is an assumption that the underlying process generating the stream is non-stationary and that concepts within the stream will drift and change as the stream progresses. Concepts learned by a classification model are prone to change and non-adaptive models are likely to deteriorate and become i...
@article{DBLP:journals/csur/FahyYG23, author = {Conor Fahy and Shengxiang Yang and Mario Gongora 0001}, title = {Scarcity of Labels in Non-Stationary Data Streams: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {2}, pages ...
1359887
journals/csur/GoudarziPB23
Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions.
Mohammad Goudarzi, Marimuthu Palaniswami, Rajkumar Buyya
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
152:1-152:41
https://dblp.org/rec/journals/csur/GoudarziPB23
https://doi.org/10.1145/3544836
Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the network with low latency and high-access bandwidth to support a diverse range of IoT application scenarios. To fully utilize the potential of this computing paradigm, scalable, adaptive, and accurate scheduling mechanisms and algori...
@article{DBLP:journals/csur/GoudarziPB23, author = {Mohammad Goudarzi and Marimuthu Palaniswami and Rajkumar Buyya}, title = {Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions.}, journal = {ACM Comput. Surv.},...
1359911
journals/csur/HuangZLA23
Scheduling of Resource Allocation Systems with Timed Petri Nets: A Survey.
Bo Huang 0008, Mengchu Zhou, Xiaoyu Sean Lu, Abdullah Abusorrah
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
230:1-230:27
https://dblp.org/rec/journals/csur/HuangZLA23
https://doi.org/10.1145/3570326
Resource allocation systems (RASs) belong to a kind of discrete event system commonly seen in the industry. In such systems, available resources are allocated to concurrently running processes to optimize some performance criteria. Search strategies in the reachability graph (RG) of a timed Petri net (PN) attracted muc...
@article{DBLP:journals/csur/HuangZLA23, author = {Bo Huang 0008 and Mengchu Zhou and Xiaoyu Sean Lu and Abdullah Abusorrah}, title = {Scheduling of Resource Allocation Systems with Timed Petri Nets: A Survey.}, journal = {ACM Comput. Surv.}, ...
1359786
journals/csur/AbbasEAYAISSTA23
Security Assessment and Evaluation of VPNs: A Comprehensive Survey.
Haider Abbas, Naina Emmanuel, Muhammad Faisal Amjad, Tahreem Yaqoob, Mohammed Atiquzzaman, Zafar Iqbal, Narmeen Shafqat, Waleed Bin Shahid, Ali Tanveer, Umer Ashfaq
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
273:1-273:47
https://dblp.org/rec/journals/csur/AbbasEAYAISSTA23
https://doi.org/10.1145/3579162
The use of Virtual Private Networks (VPNs) has witnessed an outstanding rise as they aim to provide confidentiality and anonymity to communication. Despite this enormous and ubiquitous usage, VPNs come with various security, misconfiguration, and performance related issues thereby hindering the users to take maximum ad...
@article{DBLP:journals/csur/AbbasEAYAISSTA23, author = {Haider Abbas and Naina Emmanuel and Muhammad Faisal Amjad and Tahreem Yaqoob and Mohammed Atiquzzaman and Zafar Iqbal and Narmeen Shafqat and ...
1359917
journals/csur/IvanovLYS0L23
Security Threat Mitigation for Smart Contracts: A Comprehensive Survey.
Nikolay Ivanov, Chenning Li, Qiben Yan, Zhiyuan Sun, Zhichao Cao 0001, Xiapu Luo
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
326:1-326:37
https://dblp.org/rec/journals/csur/IvanovLYS0L23
https://doi.org/10.1145/3593293
The blockchain technology, initially created for cryptocurrency, has been re-purposed for recording state transitions of smart contracts—decentralized applications that can be invoked through external transactions. Smart contracts gained popularity and accrued hundreds of billions of dollars in market capitalization in...
@article{DBLP:journals/csur/IvanovLYS0L23, author = {Nikolay Ivanov and Chenning Li and Qiben Yan and Zhiyuan Sun and Zhichao Cao 0001 and Xiapu Luo}, title = {Security Threat Mitigation for Smart Contracts: A Com...
1359896
journals/csur/HammiZN23
Security Threats, Countermeasures, and Challenges of Digital Supply Chains.
Badis Hammi, Sherali Zeadally, Jamel Nebhen
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
316:1-316:40
https://dblp.org/rec/journals/csur/HammiZN23
https://doi.org/10.1145/3588999
The rapid growth of Information Communication Technologies (ICT) has impacted many fields. In this context, the supply chain has also quickly evolved toward the digital supply chain where digital and electronic technologies have been integrated into every aspect of its end-to-end process. This evolution provides numero...
@article{DBLP:journals/csur/HammiZN23, author = {Badis Hammi and Sherali Zeadally and Jamel Nebhen}, title = {Security Threats, Countermeasures, and Challenges of Digital Supply Chains.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {...
1360025
journals/csur/ReisingerWB23
Security and Privacy in Unified Communication.
Thomas Reisinger, Isabel Wagner, Eerke A. Boiten
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
55:1-55:36
https://dblp.org/rec/journals/csur/ReisingerWB23
https://doi.org/10.1145/3498335
The use of unified communication; video conferencing, audio conferencing, and instant messaging has skyrocketed during the COVID-19 pandemic. However, security and privacy considerations have often been neglected. This article provides a comprehensive survey of security and privacy in Unified Communication (UC). We sys...
@article{DBLP:journals/csur/ReisingerWB23, author = {Thomas Reisinger and Isabel Wagner and Eerke A. Boiten}, title = {Security and Privacy in Unified Communication.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {3}, pages =...
1360044
journals/csur/SchiappaRS23
Self-Supervised Learning for Videos: A Survey.
Madeline C. Schiappa, Yogesh S. Rawat, Mubarak Shah
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
288:1-288:37
https://dblp.org/rec/journals/csur/SchiappaRS23
https://doi.org/10.1145/3577925
The remarkable success of deep learning in various domains relies on the availability of large-scale annotated datasets. However, obtaining annotations is expensive and requires great effort, which is especially challenging for videos. Moreover, the use of human-generated annotations leads to models with biased learnin...
@article{DBLP:journals/csur/SchiappaRS23, author = {Madeline C. Schiappa and Yogesh S. Rawat and Mubarak Shah}, title = {Self-Supervised Learning for Videos: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {13s}, pages ...
1359998
journals/csur/OpdahlADOTV23
Semantic Knowledge Graphs for the News: A Review.
Andreas L. Opdahl, Tareq Al-Moslmi, Duc-Tien Dang-Nguyen, Marc Gallofré Ocaña, Bjørnar Tessem, Csaba Veres
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
140:1-140:38
https://dblp.org/rec/journals/csur/OpdahlADOTV23
https://doi.org/10.1145/3543508
ICT platforms for news production, distribution, and consumption must exploit the ever-growing availability of digital data. These data originate from different sources and in different formats; they arrive at different velocities and in different volumes. Semantic knowledge graphs (KGs) is an established technique for...
@article{DBLP:journals/csur/OpdahlADOTV23, author = {Andreas L. Opdahl and Tareq Al-Moslmi and Duc-Tien Dang-Nguyen and Marc Gallofré Ocaña and Bjørnar Tessem and Csaba Veres}, title = {Semantic Knowledge Graphs f...
1359802
journals/csur/AlsaferyRP23
Sensing within Smart Buildings: A Survey.
Wael Alsafery, Omer F. Rana, Charith Perera
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
297:1-297:35
https://dblp.org/rec/journals/csur/AlsaferyRP23
https://doi.org/10.1145/3596600
Increasingly, buildings are being fitted with sensors for the needs of different sectors, such as education, industry and business. Using Internet of Things devices combined with analysis of data being generated by these devices, it is possible to infer a number of metrics, e.g., building occupancy and activities of oc...
@article{DBLP:journals/csur/AlsaferyRP23, author = {Wael Alsafery and Omer F. Rana and Charith Perera}, title = {Sensing within Smart Buildings: A Survey.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {13s}, pages = {297:1--...
1359985
journals/csur/NafeesSCGB23
Smart Grid Cyber-Physical Situational Awareness of Complex Operational Technology Attacks: A Review.
Muhammad Nouman Nafees, Neetesh Saxena, Alvaro A. Cárdenas, Santiago Grijalva, Pete Burnap
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
215:1-215:36
https://dblp.org/rec/journals/csur/NafeesSCGB23
https://doi.org/10.1145/3565570
The smart grid (SG), regarded as the complex cyber-physical ecosystem of infrastructures, orchestrates advanced communication, computation, and control technologies to interact with the physical environment. Due to the high rewards that threats to the grid can realize, adversaries can mount complex cyber-attacks such a...
@article{DBLP:journals/csur/NafeesSCGB23, author = {Muhammad Nouman Nafees and Neetesh Saxena and Alvaro A. Cárdenas and Santiago Grijalva and Pete Burnap}, title = {Smart Grid Cyber-Physical Situational Awareness of Complex Operat...
1360082
journals/csur/WangYCX23
SoK: DAG-based Blockchain Systems.
Qin Wang 0008, Jiangshan Yu, Shiping Chen 0001, Yang Xiang 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
261:1-261:38
https://dblp.org/rec/journals/csur/WangYCX23
https://doi.org/10.1145/3576899
Limitations on high latency and low scalability of classical blockchain systems retard their adoptions and applications. Reconstructed blockchain systems have been proposed to avoid the consumption of competitive transactions caused by linear sequenced blocks. These systems, instead, structure transactions/blocks in th...
@article{DBLP:journals/csur/WangYCX23, author = {Qin Wang 0008 and Jiangshan Yu and Shiping Chen 0001 and Yang Xiang 0001}, title = {SoK: DAG-based Blockchain Systems.}, journal = {ACM Comput. Surv.}, volume = {55}, number = {...
1360093
journals/csur/XuPCF23
SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols.
Jiahua Xu 0002, Krzysztof Paruch, Simon Cousaert, Yebo Feng
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
238:1-238:50
https://dblp.org/rec/journals/csur/XuPCF23
https://doi.org/10.1145/3570639
As an integral part of the decentralized finance (DeFi) ecosystem, decentralized exchanges (DEXs) with automated market maker (AMM) protocols have gained massive traction with the recently revived interest in blockchain and distributed ledger technology (DLT) in general. Instead of matching the buy and sell sides, auto...
@article{DBLP:journals/csur/XuPCF23, author = {Jiahua Xu 0002 and Krzysztof Paruch and Simon Cousaert and Yebo Feng}, title = {SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols.}, journal = {ACM Comput. Surv.}, ...
1360012
journals/csur/PicekPMWB23
SoK: Deep Learning-based Physical Side-channel Analysis.
Stjepan Picek, Guilherme Perin, Luca Mariot, Lichao Wu, Lejla Batina
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,023
unknown
227:1-227:35
https://dblp.org/rec/journals/csur/PicekPMWB23
https://doi.org/10.1145/3569577
Side-channel attacks represent a realistic and serious threat to the security of embedded devices for already almost three decades. A variety of attacks and targets they can be applied to have been introduced, and while the area of side-channel attacks and their mitigation is very well-researched, it is yet to be conso...
@article{DBLP:journals/csur/PicekPMWB23, author = {Stjepan Picek and Guilherme Perin and Luca Mariot and Lichao Wu and Lejla Batina}, title = {SoK: Deep Learning-based Physical Side-channel Analysis.}, journal = {ACM Comput....