Check computer science papers: citations, claims and retractions

The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining

Liu, Y., Xu, L., Yuan, X., Wang, C., & Li, B. (2022) · IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 202

Synthesis of an optimal set of radar track-while-scan smoothing equations

Benedict, T., & Bordner, G. (1962) · IRE Transactions on Automatic Control

Target Tracking and Data Fusion in Sensor NetworksInertial Sensor and Navigation

Cited by 202

Capturing and animating skin deformation in human motion

Park, S. I., & Hodgins, J. K. (2006) · ACM Transactions on Graphics

Human Motion and Animation3D Shape Modeling and Analysis

Cited by 202

An ID-Based Linearly Homomorphic Signature Scheme and Its Application in Blockchain

Lin, Q., Yan, H., Huang, Z., Chen, W., Shen, J., & Tang, Y. (2018) · IEEE Access

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 202

Temporal Deformable Residual Networks for Action Segmentation in Videos

Lei, P., & Todorovic, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 202

Intrusion Detection Protocols in Wireless Sensor Networks Integrated to Internet of Things Deployment: Survey and Future Challenges

Pundir, S., Wazid, M., Singh, D. P., Das, A. K., Rodrigues, J. J. P. C., & Park, Y. (2020) · IEEE Access

Security in Wireless Sensor NetworksNetwork Security and Intrusion Detection

Cited by 202

Artificial intelligence in digital breast pathology: Techniques and applications

Ibrahim, A., Gamble, P., Jaroensri, R., Abdelsamea, M. M., Mermel, C. H., Chen, P.-H. C., & Rakha, E. A. (2020) · The Breast

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 202

AutoCodeRover: Autonomous Program Improvement

Zhang, Y., Ruan, H., Fan, Z., & Roychoudhury, A. (2024) · Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 202

Virtual Reality Pain Control During Burn Wound Debridement of Combat-Related Burn Injuries Using Robot-Like Arm Mounted VR Goggles

Maani, C. V., Hoffman, H. G., Morrow, M., Maiers, A., Gaylord, K., McGhee, L. L., & DeSocio, P. A. (2011) · Journal of Trauma: Injury, Infection & Critical Care

Virtual Reality Applications and ImpactsPediatric Pain Management Techniques

Cited by 202

A Systematic Literature Review on Federated Machine Learning: From a Software Engineering Perspective

Lo, S. K., Lu, Q., Wang, C., Paik, H.-Y., & Zhu, L. (2022) · ACM Computing Surveys

Privacy-Preserving Technologies in DataSoftware Engineering Techniques and Practices

Cited by 202

How users assess Web pages for information seeking

Tombros, A., Ruthven, I., & Jose, J. M. (2005) · Journal of the American Society for Information Science and Technology

Information Retrieval and Search BehaviorUsability and User Interface Design

Cited by 202

Understanding the Behaviors of BERT in Ranking

Qiao, Y., Xiong, C., Liu, Z., & Liu, Z. (2019) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 201

3D Face Recognition Using Simulated Annealing and the Surface Interpenetration Measure

Queirolo, C. C., Silva, L., Bellon, O. R. P., & Segundo, M. P. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Face recognition and analysisFace and Expression Recognition

Cited by 201

Ableism, technoableism, and future AI

Shew, A. (2020) · IEEE Technology and Society Magazine

Ethics and Social Impacts of AIDisability Rights and Representation

Cited by 201

Accelerating Convolutional Networks via Global & Dynamic Filter Pruning

Lin, S., Ji, R., Li, Y., Wu, Y., Huang, F., & Zhang, B. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 201

Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition

Zheng, N., Wen, J., Liu, R., Long, L., Dai, J., & Gong, Z. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Human Pose and Action RecognitionHuman Motion and Animation

Cited by 201

Enhanced MLP performance and fault tolerance resulting from synaptic weight noise during training

Murray, A. F., & Edwards, P. J. (1994) · IEEE Transactions on Neural Networks

Neural Networks and ApplicationsAdvanced Memory and Neural Computing

Cited by 201

Context-sensitive multimodal emotion recognition from speech and facial expression using bidirectional LSTM modeling

Wöllmer, M., Metallinou, A., Eyben, F., Schuller, B., & Narayanan, S. S. (2010) · Interspeech 2010

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 201

To understand deep learning we need to understand kernel learning

Belkin, M., Ma, S., & Mandal, S. (2018) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Algorithms

Cited by 201

Visual Odometry Revisited: What Should Be Learnt?

Zhan, H., Weerasekera, C. S., Bian, J.-W., & Reid, I. (2020) · 2020 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 201

MIRIX: Multi-Agent Memory System for LLM-Based Agents

Wang, Y., & Chen, X. (2025) · arXiv

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 201

Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?

Kadian, A., Truong, J., Gokaslan, A., Clegg, A., Wijmans, E., Lee, S., Savva, M., Chernova, S., & Batra, D. (2020) · IEEE Robotics and Automation Letters

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 201

Object Recognition in Aerial Images Using Convolutional Neural Networks

Radovic, M., Adarkwa, O., & Wang, Q. (2017) · Journal of Imaging

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 201

Challenges and opportunities in quantum optimization

Abbas, A., Ambainis, A., Augustino, B., Bärtschi, A., Buhrman, H., Coffrin, C., Cortiana, G., Dunjko, V., Egger, D. J., Elmegreen, B. G., et al. (2024) · Nature Reviews Physics

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 201