Check computer science papers: citations, claims and retractions

A Learning Analytics Tool for Usability Assessment in Moodle Environments

Fenu, G., Marras, M., & Meles, M. (2017) · Journal of e-Learning and Knowledge Society

Online Learning and AnalyticsUsability and User Interface Design

Cited by 27

Representations and generalization in artificial and brain neural networks

Li, Q., Sorscher, B., & Sompolinsky, H. (2024) · Proceedings of the National Academy of Sciences

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 27

A Novel Multi-Agent and Multilayered Game Formulation for Intrusion Detection in Internet of Things (IoT)

Khan, B. U. I., Anwar, F., Olanrewaju, R. F., Pampori, B. R., & Mir, R. N. (2020) · IEEE Access

Security in Wireless Sensor NetworksNetwork Security and Intrusion Detection

Cited by 27

Poisoned ChatGPT Finds Work for Idle Hands: Exploring Developers’ Coding Practices with Insecure Suggestions from Poisoned AI Models

Oh, S., Lee, K., Park, S., Kim, D., & Kim, H. (2024) · 2024 IEEE Symposium on Security and Privacy (SP)

Software Engineering ResearchAdversarial Robustness in Machine Learning

Cited by 27

Latency Prediction for Delay-sensitive V2X Applications in Mobile Cloud/Edge Computing Systems

Zhang, W., Feng, M., Krunz, M., & Volos, H. (2020) · GLOBECOM 2020 - 2020 IEEE Global Communications Conference

IoT and Edge/Fog ComputingVehicular Ad Hoc Networks (VANETs)

Cited by 27

Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents

Narajala, V. S., & Narayan, O. (2025) · 2025 8th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI)

Adversarial Robustness in Machine LearningInformation and Cyber Security

Cited by 27

Predictive Analytics for City Agencies: Lessons from Children's Services

Shroff, R. (2017) · Big Data

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 27

Affiliation Bias in Peer Review of Abstracts by a Large Language Model

von Wedel, D., Schmitt, R. A., Thiele, M., Leuner, R., Shay, D., Redaelli, S., & Schaefer, M. S. (2024) · JAMA

Ethics and Social Impacts of AIAcademic Writing and Publishing

Cited by 27

Object Detection Performance Evaluation for Autonomous Vehicles in Sandy Weather Environments

Aloufi, N., Alnori, A., Thayananthan, V., & Basuhail, A. (2023) · Applied Sciences

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 27

A Pedagogical Framework for Domain-Specific Languages

Fowler, M. (2009) · IEEE Software

Model-Driven Software Engineering TechniquesSoftware Engineering Techniques and Practices

Cited by 27

A Comparison Study on the Learning Effectiveness of Construction Training Scenarios in a Virtual Reality Environment

Lee, Y. S., Rashidi, A., Talei, A., Beh, H. J., & Rashidi, S. (2023) · Virtual Worlds

Virtual Reality Applications and ImpactsSimulation and Modeling Applications

Cited by 27

Predictive Multiplicity in Probabilistic Classification

Watson-Daniels, J., Parkes, D. C., & Ustun, B. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 27

Discovering Variable Binding Circuitry with Desiderata

Davies, X., Nadeau, M., Prakash, N., Shaham, T. R., & Bau, D. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 27

Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Wang, L., & Lim, E.-P. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 27

Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition

Haresamudram, H., Essa, I., & Ploetz, T. (2022) · arXiv

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 27

Learning to Rank in Generative Retrieval

Li, Y., Yang, N., Wang, L., Wei, F., & Li, W. (2023) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 27

Undetectable Watermarks for Language Models

Christ, M., Gunn, S., & Zamir, O. (2023) · arXiv

Cryptography and Data SecurityAdvanced Steganography and Watermarking Techniques

Cited by 27

Effects of data count and image scaling on Deep Learning training

Hirahara, D., Takaya, E., Takahara, T., & Ueda, T. (2020) · PeerJ Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 27

Rhetorical Figure Detection: Chiasmus, Epanaphora, Epiphora

Dubremetz, M., & Nivre, J. (2018) · Frontiers in Digital Humanities

Natural Language Processing TechniquesDigital Humanities and Scholarship

Cited by 27

Multi-Aspect Dense Retrieval

Kong, W., Khadanga, S., Li, C., Gupta, S. K., Zhang, M., Xu, W., & Bendersky, M. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Information Retrieval and Search BehaviorAdvanced Image and Video Retrieval Techniques

Cited by 27

Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources

Rakovic, M., Fan, Y., van der Graaf, J., Singh, S., Kilgour, J., Lim, L., Moore, J., Bannert, M., Molenaar, I., & Gasevic, D. (2022) · LAK22: 12th International Learning Analytics and Knowledge Conference

Online Learning and AnalyticsInnovative Teaching and Learning Methods

Cited by 27

SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines

Shankar, S., Li, H., Asawa, P., Hulsebos, M., Lin, Y., Zamfirescu-Pereira, J. D., Chase, H., Fu-Hinthorn, W., Parameswaran, A. G., & Wu, E. (2024) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 27

Quantifying the Transition from Python 2 to 3: An Empirical Study of Python Applications

Malloy, B. A., & Power, J. F. (2017) · 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

Software Engineering ResearchLogic, programming, and type systems

Cited by 27

Emotion Recognition from EEG and Facial Expressions: a Multimodal Approach

Chaparro, V., Gomez, A., Salgado, A., Quintero, O. L., Lopez, N., & Villa, L. F. (2018) · 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 27