Check computer science papers: citations, claims and retractions

Optimal Adaptive Power Control for Over-The-Air Federated Edge Learning Under Fading Channels

Yu, X., Xiao, B., Ni, W., & Wang, X. (2023) · IEEE Transactions on Communications

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 19

Pre-training Code Representation with Semantic Flow Graph for Effective Bug Localization

Du, Y., & Yu, Z. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 19

AI Integration in the IT Professional Workplace: A Scoping Review and Interview Study with Implications for Education and Professional Competencies

Clear, T., Cajander, Å., Clear, A., McDermott, R., Daniels, M., Divitini, M., Forshaw, M., Humble, N., Kasinidou, M., Kleanthous, S., et al. (2025) · 2024 Working Group Reports on Innovation and Technology in Computer Science Education

Information Systems Education and Curriculum DevelopmentArtificial Intelligence in Education

Cited by 19

MAIRA-2: Grounded Radiology Report Generation

Bannur, S., Bouzid, K., Castro, D. C., Schwaighofer, A., Thieme, A., Bond-Taylor, S., Ilse, M., Pérez-García, F., Salvatelli, V., Sharma, H., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 19

Perancangan Brosur Interaktif Berbasis Augmented Reality

Rumajar, R., Lumenta, A. S. M., & Sugiarso, B. A. (2015) · Jurnal Teknik Elektro dan Komputer

Augmented Reality ApplicationsMultimedia Learning Systems

Cited by 19

Why no-reference metrics for image and video quality lack accuracy and reproducibility

Pinson, M. H. (2023) · IEEE Transactions on Broadcasting

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 19

Multimodal person independent recognition of workload related biosignal patterns

Jarvis, J., Putze, F., Heger, D., & Schultz, T. (2011) · Proceedings of the 13th international conference on multimodal interfaces

Emotion and Mood RecognitionHuman-Automation Interaction and Safety

Cited by 19

Big graphs: challenges and opportunities

Fan, W. (2022) · Proceedings of the VLDB Endowment

Graph Theory and AlgorithmsAdvanced Database Systems and Queries

Cited by 19

TS2ACT: Few-Shot Human Activity Sensing with Cross-Modal Co-Learning

Xia, K., Li, W., Gan, S., & Lu, S. (2023) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 19

An Adaptive Learning System Based on Learner’s Knowledge Level

AL-Chalabi, H. K. M., Hussein, A. M. A., & Apoki, U. C. (2021) · 2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

Intelligent Tutoring Systems and Adaptive LearningEducational Technology and Assessment

Cited by 19

Robots for Social Justice (R4SJ): Toward a More Equitable Practice of Human-Robot Interaction

Zhu, Y., Wen, R., & Williams, T. (2024) · Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction

Ethics and Social Impacts of AITeaching and Learning Programming

Cited by 19

Signs of consciousness in AI: Can GPT-3 tell how smart it really is?

Bojić, L., Stojković, I., & Jolić Marjanović, Z. (2024) · Humanities and Social Sciences Communications

Psychiatry, Mental Health, NeurosciencePhilosophy and Theoretical Science

Cited by 19

Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models

Schellaert, W., Martínez-Plumed, F., Vold, K., Burden, J., A. M. Casares, P., Sheng Loe, B., Reichart, R., Ó hÉigeartaigh, S., Korhonen, A., & Hernández-Orallo, J. (2023) · Journal of Artificial Intelligence Research

Multimodal Machine Learning ApplicationsArtificial Intelligence Applications

Cited by 19

Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives

Chun, K. P., Octavianti, T., Dogulu, N., Tyralis, H., Papacharalampous, G., Rowberry, R., Fan, P., Everard, M., Francesch‐Huidobro, M., Migliari, W., et al. (2025) · WIREs Data Mining and Knowledge Discovery

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 19

The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances

Nie, A., Chandak, Y., Suzara, M., Malik, A., Woodrow, J., Peng, M., Sahami, M., Brunskill, E., & Piech, C. (2024)

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 19

Privacy-preserving collaborative filtering algorithm based on local differential privacy

Bao, T., Xu, L., Zhu, L., Wang, L., Li, R., & Li, T. (2021) · China Communications

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 19

Scaling Transformer to 1M tokens and beyond with RMT

Bulatov, A., Kuratov, Y., Kapushev, Y., & Burtsev, M. S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 19

Guiding Light: Navigation assistance system using projection based augmented reality

Chung, J., Kim, I.-J., & Schmandt, C. (2011) · 2011 IEEE International Conference on Consumer Electronics (ICCE)

Augmented Reality ApplicationsInteractive and Immersive Displays

Cited by 19

Beyond games: a systematic review of neural Monte Carlo tree search applications

Kemmerling, M., Lütticke, D., & Schmitt, R. H. (2024) · Applied Intelligence

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 19

MARBLE: Mining for Boilerplate Code to Identify API Usability Problems

Nam, D., Horvath, A., Macvean, A., Myers, B., & Vasilescu, B. (2019) · 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 19

Text mining in long-term care: exploring the usefulness of artificial intelligence in a nursing home setting

Hacking, C., Verbeek, H., Hamers, J. P. H., Sion, K., & Aarts, S. (2022) · PLoS ONE

Sentiment Analysis and Opinion MiningGeriatric Care and Nursing Homes

Cited by 19

Enhancing DevSecOps practice with Large Language Models and Security Chaos Engineering

Bedoya, M., Palacios, S., Díaz-López, D., Laverde, E., & Nespoli, P. (2024) · International Journal of Information Security

Web Application Security VulnerabilitiesInformation and Cyber Security

Cited by 19

Learning Invariant Representations of Social Media Users

Andrews, N., & Bishop, M. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingAuthorship Attribution and Profiling

Cited by 19

End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning

Feldman, T., & Peake, A. (2021) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 19