Check computer science papers: citations, claims and retractions

Shaping Our Tools: Contestability as a Means to Promote Responsible Algorithmic Decision Making in the Professions

Mulligan, D. K., Kluttz, D., & Kohli, N. (2019) · SSRN Electronic Journal

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 32

Learners’ satisfaction of courses on Coursera as a massive open online course platform: a case study

Nguyen, L. Q. (2022) · Frontiers in Education

Online Learning and AnalyticsOnline and Blended Learning

Cited by 32

Gliding and saccadic gaze gesture recognition in real time

Rozado, D., Agustin, J. S., Rodriguez, F. B., & Varona, P. (2012) · ACM Transactions on Interactive Intelligent Systems

Gaze Tracking and Assistive TechnologyInteractive and Immersive Displays

Cited by 32

Middleware for Internet of Things: A quantitative evaluation in small scale

Palade, A., Cabrera, C., White, G., Razzaque, M. A., & Clarke, S. (2017) · 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)

IoT and Edge/Fog ComputingAdvanced Software Engineering Methodologies

Cited by 32

NUBIA: NeUral Based Interchangeability Assessor for Text Generation

Kane, H., Kocyigit, M. Y., Abdalla, A., Ajanoh, P., & Coulibali, M. (2020) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 32

Quantum simulation of exact electron dynamics can be more efficient than classical mean-field methods

Babbush, R., Huggins, W. J., Berry, D. W., Ung, S. F., Zhao, A., Reichman, D. R., Neven, H., Baczewski, A. D., & Lee, J. (2023) · Nature Communications

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 32

2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data

Ottesen, J. A., Yi, D., Tong, E., Iv, M., Latysheva, A., Saxhaug, C., Jacobsen, K. D., Helland, Å., Emblem, K. E., Rubin, D. L., et al. (2023) · Frontiers in Neuroinformatics

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 32

ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities

Garg, P., Chakravarthy, A. S., Mandal, M., Narang, P., Chamola, V., & Guizani, M. (2021) · ACM Transactions on Internet Technology

Advanced Neural Network ApplicationsRemote-Sensing Image Classification

Cited by 32

Temporal Presence Variation in Immersive Computer Games

Chung, J., & Gardner, H. J. (2012) · International Journal of Human-Computer Interaction

Virtual Reality Applications and ImpactsFlow Experience in Various Fields

Cited by 32

A sound and optimal incremental build system with dynamic dependencies

Erdweg, S., Lichter, M., & Weiel, M. (2015) · Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 32

Blockchain-Based Management of Video Surveillance Systems

Jeong, Y., Hwang, D., & Kim, K.-H. (2019) · 2019 International Conference on Information Networking (ICOIN)

Blockchain Technology Applications and SecurityDigital Rights Management and Security

Cited by 32

Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists

Baer, T. (2019) · Apress eBooks

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 32

Can language models handle recursively nested grammatical structures? A case study on comparing models and humans

Lampinen, A. K. (2022) · arXiv

Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation

Cited by 32

High performance neural network inference, streaming, and visualization of medical images using FAST

Smistad, E., Ostvik, A., & Pedersen, A. (2019) · IEEE Access

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 32

Factors affecting learning of vector math from computer-based practice: Feedback complexity and prior knowledge

Heckler, A. F., & Mikula, B. D. (2016) · Physical Review Physics Education Research

Intelligent Tutoring Systems and Adaptive LearningVisual and Cognitive Learning Processes

Cited by 32

A Data-Driven Framework For Real-Time Fraud Detection In Financial Transactions Using Machine Learning And Big Data Analytics

Malempati, M. (2023) · Journal for ReAttach Therapy and Developmental Diversities

Imbalanced Data Classification TechniquesAnomaly Detection Techniques and Applications

Cited by 32

MonitorAssistant: simplifying cloud service monitoring via large language models

Yu, Z., Ma, M., Zhang, C., Qin, S., Kang, Y., Bansal, C., Rajmohan, S., Dang, Y., Pei, C., Pei, D., et al. (2024) · Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 32

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Yamada, Y., Lange, R. T., Lu, C., Hu, S., Lu, C., Foerster, J., Clune, J., & Ha, D. (2025) · arXiv

Artificial Intelligence ApplicationsAcademic Writing and Publishing

Cited by 32

Developing Critical Thinking Practices Interwoven with Generative AI Usage in an Introductory Programming Course

Styve, A., Virkki, O. T., & Naeem, U. (2024) · 2024 IEEE Global Engineering Education Conference (EDUCON)

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 32

Plan2Scene: Converting Floorplans to 3D Scenes

Vidanapathirana, M., Wu, Q., Furukawa, Y., Chang, A. X., & Savva, M. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and Analysis3D Surveying and Cultural Heritage

Cited by 32

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Xia, P., Chen, Z., Tian, J., Gong, Y., Hou, R., Xu, Y., Wu, Z., Fan, Z., Zhou, Y., Zhu, K., et al. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 32

From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents

Uddin, M. N., Shubham, K., Blanco, E., Baral, C., & Wang, G. (2026) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 32

LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Agashe, S., Fan, Y., Reyna, A., & Wang, X. E. (2025) · Findings of the Association for Computational Linguistics: NAACL 2025

Multi-Agent Systems and NegotiationGame Theory and Applications

Cited by 32

LLMs cannot find reasoning errors, but can correct them given the error location

Tyen, G., Mansoor, H., Cărbune, V., Chen, P., & Mak, T. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 32