Check computer science papers: citations, claims and retractions

MIMIC-III Clinical Database CareVue subset

Johnson, A., Pollard, T., & Mark, R. (2022) · PhysioNet

Machine Learning in HealthcareHealthcare Technology and Patient Monitoring

Cited by 12

Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Yang, S., Wang, B., Zhang, Y., Shen, Y., & Kim, Y. (2024) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 12

An analysis of the influence of need for cognition on dynamic queries usage

Carenini, G. (2001) · CHI '01 Extended Abstracts on Human Factors in Computing Systems

Information Retrieval and Search BehaviorUsability and User Interface Design

Cited by 12

CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models

Bhatt, M., Chennabasappa, S., Li, Y., Nikolaidis, C., Song, D., Wan, S., Ahmad, F., Aschermann, C., Chen, Y., Kapil, D., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 12

ToolCoder: Teach Code Generation Models to use API search tools

Zhang, K., Zhang, H., Li, G., Li, J., Li, Z., & Jin, Z. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 12

Dynamic decomposition and integration of degrees of freedom for 3-D positioning

Veit, M., Capobianco, A., & Bechmann, D. (2010) · Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology

Interactive and Immersive DisplaysTeleoperation and Haptic Systems

Cited by 12

BridgeData V2: A Dataset for Robot Learning at Scale

Walke, H., Black, K., Lee, A., Kim, M. J., Du, M., Zheng, C., Zhao, T., Hansen-Estruch, P., Vuong, Q., He, A., et al. (2023) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 12

Genetic physical unclonable functions in human cells

Li, Y., Bidmeshki, M. M., Kang, T., Nowak, C. M., Makris, Y., & Bleris, L. (2022) · Science Advances

Physical Unclonable Functions (PUFs) and Hardware SecurityCRISPR and Genetic Engineering

Cited by 12

Sensor network using Power-over-Ethernet

Osorio, F. G., Xinran, M., Liu, Y., Lusina, P., & Cretu, E. (2015) · 2015 International Conference and Workshop on Computing and Communication (IEMCON)

Energy Efficient Wireless Sensor NetworksWireless Sensor Networks and IoT

Cited by 12

The Thorny Challenge of Making Moral Machines: Ethical Dilemmas with Self-Driving Cars

Awad, E., Bonnefon, J.-F., Shariff, A., & Rahwan, I. (2019) · NIM Marketing Intelligence Review

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 12

Novice and Experienced Users’ Search Performance and Satisfaction with Web of Science and Scopus

Okhovati, M., Sharifpoor, E., Aazami, M., Zolala, F., & Hamzehzadeh, M. (2017) · Journal of Librarianship and Information Science

Information Retrieval and Search BehaviorLibrary Science and Information Literacy

Cited by 12

Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons

Chen, Y., Cao, P., Chen, Y., Liu, K., & Zhao, J. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 12

Analysis of Facial Landmark Features to determine the best subset for finding Face Orientation

Shah, H. M., Dinesh, A., & Sharmila, T. S. (2019) · 2019 International Conference on Computational Intelligence in Data Science (ICCIDS)

Face recognition and analysisFace and Expression Recognition

Cited by 12

Affective Computing for Social Companion Robots Using Fine-grained Speech Emotion Recognition

Ahuja, S., & Shabani, A. (2023) · 2023 IEEE Conference on Artificial Intelligence (CAI)

Emotion and Mood RecognitionSocial Robot Interaction and HRI

Cited by 12

Co-designing AI with youth partners: Enabling ideal classroom relationships through a novel AI relational privacy ethical framework

Chang, M. A., Tissenbaum, M., Philip, T. M., & D’Mello, S. K. (2025) · Computers and Education: Artificial Intelligence

Ethics and Social Impacts of AIDigital Education and Society

Cited by 12

Intelligent Tutoring Systems for Commercial Games: The Virtual Combat Training Center Tutor and Simulation

Murray, W. (2006) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Games

Cited by 12

Progress in Research Data Services: An international survey of university libraries

Cox, A. M., Kennan, M. A., Lyon, E. J., Pinfield, S., & Sbaffi, L. (2019) · International Journal of Digital Curation

Research Data Management PracticesData Analysis and Archiving

Cited by 12

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Ding, D., Mallick, A., Wang, C., Sim, R., Mukherjee, S., Ruhle, V., Lakshmanan, L. V. S., & Awadallah, A. H. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

Hands-Free User Interface for AR/VR Devices Exploiting Wearer’s Facial Gestures Using Unsupervised Deep Learning

Cha, J., Kim, J., & Kim, S. (2019) · Sensors

Hand Gesture Recognition SystemsGaze Tracking and Assistive Technology

Cited by 12

Std-net: spatio-temporal decomposition network for video demoiréing with sparse transformers

Niu, Y., Xu, R., Lin, Z., & Liu, W. (2024) · IEEE Transactions on Circuits and Systems for Video Technology

Advanced Image Processing TechniquesImage Enhancement Techniques

Cited by 12

Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving

Ma, X., Wang, Z., Li, H., Zhang, P., Fan, X., & Ouyang, W. (2019) · arXiv

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 12

Resolution-robust Large Mask Inpainting with Fourier Convolutions

Suvorov, R., Logacheva, E., Mashikhin, A., Remizova, A., Ashukha, A., Silvestrov, A., Kong, N., Goka, H., Park, K., & Lempitsky, V. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 12

Missed Causes and Ambiguous Effects: Counterfactuals Pose Challenges for Interpreting Neural Networks

Mueller, A. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Bayesian Modeling and Causal Inference

Cited by 12

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering

Ness, R. O., Matton, K., Helm, H., Zhang, S., Bajwa, J., Priebe, C. E., & Horvitz, E. (2024) · arXiv

Adversarial Robustness in Machine LearningArtificial Intelligence in Healthcare and Education

Cited by 12