Check computer science papers: citations, claims and retractions

An eye‐tracking approach to the analysis of relevance judgments on the Web: The case of Google search engine

Balatsoukas, P., & Ruthven, I. (2012) · Journal of the American Society for Information Science and Technology

Information Retrieval and Search BehaviorGaze Tracking and Assistive Technology

Cited by 66

Density-Matrix Renormalization Group Algorithm for Simulating Quantum Circuits with a Finite Fidelity

Ayral, T., Louvet, T., Zhou, Y., Lambert, C., Stoudenmire, E. M., & Waintal, X. (2023) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 66

Let’s Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving

Uricar, M., Sistu, G., Rashed, H., Vobecky, A., Kumar, V. R., Krizek, P., Burger, F., & Yogamani, S. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 66

Reinforcement learning based spectrum-aware routing in multi-hop cognitive radio networks

Xia, B., Wahab, M. H., Yang, Y., Fan, Z., & Sooriyabandara, M. (2009) · 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications

Cognitive Radio Networks and Spectrum SensingMobile Ad Hoc Networks

Cited by 66

Improving random forests by neighborhood projection for effective text classification

Salles, T., Gonçalves, M., Rodrigues, V., & Rocha, L. (2018) · Information Systems

Text and Document Classification TechnologiesMachine Learning and Data Classification

Cited by 66

Automatic 3D Facial Expression Recognition Based on a Bayesian Belief Net and a Statistical Facial Feature Model

Zhao, X., Huang, D., Dellandrea, E., & Chen, L. (2010) · 2010 20th International Conference on Pattern Recognition

Face recognition and analysisFace and Expression Recognition

Cited by 66

Designing an Introductory Programming Course to Improve Non-Majors' Experiences

Dawson, J. Q., Allen, M., Campbell, A., & Valair, A. (2018) · Proceedings of the 49th ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingInformation Systems Education and Curriculum Development

Cited by 66

Evaluating Insider Threat Detection Workflow Using Supervised and Unsupervised Learning

Le, D. C., & Zincir-Heywood, A. N. (2018) · 2018 IEEE Security and Privacy Workshops (SPW)

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 66

A Survey on Blockchain-Based Identity Management Systems for the Internet of Things

Zhu, X., & Badr, Y. (2018) · 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)

Blockchain Technology Applications and SecurityAdvanced Authentication Protocols Security

Cited by 66

Peer review analyze: A novel benchmark resource for computational analysis of peer reviews

Ghosal, T., Kumar, S., Bharti, P. K., & Ekbal, A. (2022) · PLOS ONE

Sentiment Analysis and Opinion MiningComputational and Text Analysis Methods

Cited by 66

Effect of design-based learning on improving computational thinking

Jun, S., Han, S., & Kim, S. (2016) · Behaviour & Information Technology

Teaching and Learning ProgrammingDesign Education and Practice

Cited by 66

Enhanced Cyber Attack Detection Process for Internet of Health Things (IoHT) Devices Using Deep Neural Network

Vijayakumar, K. P., Pradeep, K., Balasundaram, A., & Prusty, M. R. (2023) · Processes

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 66

Hate speech detection: A comprehensive review of recent works

Gandhi, A., Ahir, P., Adhvaryu, K., Shah, P., Lohiya, R., Cambria, E., Poria, S., & Hussain, A. (2024) · Expert Systems

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 66

RAH! RecSys–Assistant–Human: A Human-Centered Recommendation Framework With LLM Agents

Shu, Y., Zhang, H., Gu, H., Zhang, P., Lu, T., Li, D., & Gu, N. (2024) · IEEE Transactions on Computational Social Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 66

The need for a worldwide consensus for cell line authentication: Experience implementing a mandatory requirement at the International Journal of Cancer

Fusenig, N. E., Capes-Davis, A., Bianchini, F., Sundell, S., & Lichter, P. (2017) · PLOS Biology

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 66

Intent classification of short-text on social media,

Purohit, H., Dong, G., Shalin, V., Thirunarayan, K., & Sheth, A. (2015) · 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)

Text and Document Classification TechnologiesSentiment Analysis and Opinion Mining

Cited by 66

Maritime cyber security analysis–how to reduce threats?

Mraković, I., & Vojinović, R. (2019) · Transactions on Maritime Science

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 66

Cloud-Based Zero Trust Access Control Policy: An Approach to Support Work-From-Home Driven by COVID-19 Pandemic

Mandal, S., Khan, D. A., & Jain, S. (2021) · New Generation Computing

Network Security and Intrusion DetectionSoftware-Defined Networks and 5G

Cited by 66

Fair Bayesian Optimization

Perrone, V., Donini, M., Zafar, M. B., Schmucker, R., Kenthapadi, K., & Archambeau, C. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIAdvanced Bandit Algorithms Research

Cited by 66

Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate

Xiong, K., Ding, X., Cao, Y., Liu, T., & Qin, B. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingMultimodal Machine Learning Applications

Cited by 66

Learning skeletons for shape and pose

Hasler, N., Thormählen, T., Rosenhahn, B., & Seidel, H.-P. (2010) · Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games

3D Shape Modeling and AnalysisHuman Motion and Animation

Cited by 66

The Study Team for Early Life Asthma Research (STELAR) consortium 'Asthma e-lab': team science bringing data, methods and investigators together

Custovic, A., Ainsworth, J., Arshad, H., Bishop, C., Buchan, I., Cullinan, P., Devereux, G., Henderson, J., Holloway, J., Roberts, G., et al. (2015) · Thorax

Research Data Management PracticesAsthma and respiratory diseases

Cited by 66

Tighter Variational Bounds are Not Necessarily Better

Rainforth, T., Kosiorek, A. R., Le, T. A., Maddison, C. J., Igl, M., Wood, F., & Teh, Y. W. (2018) · arXiv

Gaussian Processes and Bayesian InferenceTopic Modeling

Cited by 66

Classification-Driven Dynamic Image Enhancement

Sharma, V., Diba, A., Neven, D., Brown, M. S., Gool, L. V., & Stiefelhagen, R. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsImage Enhancement Techniques

Cited by 66