Check computer science papers: citations, claims and retractions

Make RepVGG Greater Again: A Quantization-Aware Approach

Chu, X., Li, L., & Zhang, B. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 53

Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey

Liu, X., Chen, T., Da, L., Chen, C., Lin, Z., & Wei, H. (2025) · Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 53

Evaluating Theory of Mind in Question Answering

Nematzadeh, A., Burns, K., Grant, E., Gopnik, A., & Griffiths, T. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Topic ModelingChild and Animal Learning Development

Cited by 53

Magma: A Foundation Model for Multimodal AI Agents

Yang, J., Tan, R., Wu, Q., Zheng, R., Peng, B., Liang, Y., Gu, Y., Cai, M., Ye, S., Jang, J., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 53

Depth-Wise Asymmetric Bottleneck With Point-Wise Aggregation Decoder for Real-Time Semantic Segmentation in Urban Scenes

Li, G., Jiang, S., Yun, I., Kim, J., & Kim, J. (2020) · IEEE Access

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 53

Effective Adaptive E-Learning Systems According to Learning Style and Knowledge Level

T Alshammari, M., & Qtaish, A. (2019) · Journal of Information Technology Education: Research

Intelligent Tutoring Systems and Adaptive LearningLearning Styles and Cognitive Differences

Cited by 53

Minimum-Distortion Isometric Shape Correspondence Using EM Algorithm

Sahillioglu, Y., & Yemez, Y. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence

3D Shape Modeling and AnalysisComputational Geometry and Mesh Generation

Cited by 53

Sim-to-Real Transfer for Optical Tactile Sensing

Ding, Z., Lepora, N. F., & Johns, E. (2020) · 2020 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 53

Deep Self-Supervised Representation Learning for Free-Hand Sketch

Xu, P., Song, Z., Yin, Q., Song, Y.-Z., & Wang, L. (2021) · IEEE Transactions on Circuits and Systems for Video Technology

3D Shape Modeling and AnalysisImage Retrieval and Classification Techniques

Cited by 53

Discovering Language Model Behaviors with Model-Written Evaluations

Perez, E., Ringer, S., Lukošiūtė, K., Nguyen, K., Chen, E., Heiner, S., Pettit, C., Olsson, C., Kundu, S., Kadavath, S., et al. (2022) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 53

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Penedo, G., Kydlíček, H., allal, L. B., Lozhkov, A., Mitchell, M., Raffel, C., Von Werra, L., & Wolf, T. (2024) · arXiv

Topic ModelingComputational and Text Analysis Methods

Cited by 53

Size and viewpoint of an embodied virtual body affect the processing of painful stimuli

Romano, D., Llobera, J., & Blanke, O. (2016) · The Journal of Pain

Virtual Reality Applications and ImpactsPain Management and Treatment

Cited by 53

Advancing Compliance with HIPAA and GDPR in Healthcare: A Blockchain-Based Strategy for Secure Data Exchange in Clinical Research Involving Private Health Information

Barbaria, S., Jemai, A., Ceylan, H. İ., Muntean, R. I., Dergaa, I., & Boussi Rahmouni, H. (2025) · Healthcare

Blockchain Technology Applications and SecurityElectronic Health Records Systems

Cited by 53

Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Zhao, Z., & Patras, I. (2023) · arXiv

Emotion and Mood RecognitionFace recognition and analysis

Cited by 53

Zero-Trust Model for Smart Manufacturing Industry

Paul, B., & Rao, M. (2022) · Applied Sciences

Cybersecurity and Information SystemsAccess Control and Trust

Cited by 53

A High Speed IC Truly Random Number Generator Based on Chaotic Sampling of Regular Waveform

ERGÜN, S., GÜLER, Ü., & ASADA, K. (2011) · IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Physical Unclonable Functions (PUFs) and Hardware SecurityChaos-based Image/Signal Encryption

Cited by 53

Control information theory: the ‘missing link’ in the science of cybernetics

Corning, P. A. (2007) · Systems Research and Behavioral Science

Diverse Interdisciplinary Research StudiesCybernetics and Technology in Society

Cited by 53

Cyberbullying Detection With Fairness Constraints

Gencoglu, O. (2021) · IEEE Internet Computing

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 53

Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition

Zhou, B., Wang, P., Wan, J., Liang, Y., Wang, F., Zhang, D., Lei, Z., Li, H., & Jin, R. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 53

‘Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP

Rogers, A., Baldwin, T., & Leins, K. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Ethics and Social Impacts of AIResearch Data Management Practices

Cited by 53

3D-2D Registration for Surgical Guidance: Effect of Projection View Angles on Registration Accuracy

Uneri, A., Otake, Y., Wang, A. S., Kleinszig, G., Vogt, S., Khanna, A. J., & Siewerdsen, J. H. (2014) · Physics in Medicine and Biology

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 53

Binding Language Models in Symbolic Languages

Cheng, Z., Xie, T., Shi, P., Li, C., Nadkarni, R., Hu, Y., Xiong, C., Radev, D., Ostendorf, M., Zettlemoyer, L., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 53

Human visual explanations mitigate bias in AI-based assessment of surgeon skills

Kiyasseh, D., Laca, J., Haque, T. F., Otiato, M., Miles, B. J., Wagner, C., Donoho, D. A., Trinh, Q.-D., Anandkumar, A., & Hung, A. J. (2023) · npj Digital Medicine

Ethics and Social Impacts of AISurgical Simulation and Training

Cited by 53

Arithmetic-intensity-guided fault tolerance for neural network inference on GPUs

Kosaian, J., & Rashmi, K. V. (2021) · Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

Distributed systems and fault toleranceRadiation Effects in Electronics

Cited by 53