Check computer science papers: citations, claims and retractions

Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Hardy, S., Henecka, W., Ivey-Law, H., Nock, R., Patrini, G., Smith, G., & Thorne, B. (2017) · arXiv

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 431

An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation

Schäfer, M., Nadi, S., Eghbali, A., & Tip, F. (2024) · IEEE Transactions on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 431

Accurate, Robust, and Flexible Real-time Hand Tracking

Sharp, T., Keskin, C., Robertson, D., Taylor, J., Shotton, J., Kim, D., Rhemann, C., Leichter, I., Vinnikov, A., Wei, Y., et al. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Hand Gesture Recognition SystemsHuman Pose and Action Recognition

Cited by 431

A Layered Model for AI Governance

Gasser, U., & Almeida, V. A. F. (2017) · IEEE Internet Computing

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 431

Artificial Intelligence as a Positive and Negative Factor in Global Risk

Yudkowsky, E. (2008) · Global Catastrophic Risks

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 431

Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers

Ward, J. A., Lukowicz, P., Troster, G., & Starner, T. E. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Context-Aware Activity Recognition SystemsHand Gesture Recognition Systems

Cited by 431

LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Wang, J., Zheng, Z., Ma, A., Lu, X., & Zhong, Y. (2021) · arXiv

Remote-Sensing Image ClassificationDomain Adaptation and Few-Shot Learning

Cited by 431

How to Design AI for Social Good: Seven Essential Factors

Floridi, L., Cowls, J., King, T. C., & Taddeo, M. (2020) · Science and Engineering Ethics

Ethics and Social Impacts of AIInnovation, Technology, and Society

Cited by 430

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

(2017)

Usability and User Interface DesignInformation Systems Theories and Implementation

Cited by 430

Learning to Walk Via Deep Reinforcement Learning

Haarnoja, T., Ha, S., Zhou, A., Tan, J., Tucker, G., & Levine, S. (2019) · Robotics: Science and Systems XV

Reinforcement Learning in RoboticsRobotic Locomotion and Control

Cited by 430

Edge analytics in the internet of things

Satyanarayanan, M., Simoens, P., Xiao, Y., Pillai, P., Chen, Z., Ha, K., Hu, W., & Amos, B. (2015) · IEEE Pervasive Computing

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 430

Improved Image Captioning via Policy Gradient optimization of SPIDEr

Liu, S., Zhu, Z., Ye, N., Guadarrama, S., & Murphy, K. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 430

Blockchain Technology: Applications in Health Care

Angraal, S., Krumholz, H. M., & Schulz, W. L. (2017) · Circulation Cardiovascular Quality and Outcomes

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 430

Quantum optimization of maximum independent set using Rydberg atom arrays

Ebadi, S., Keesling, A., Cain, M., Wang, T. T., Levine, H., Bluvstein, D., Semeghini, G., Omran, A., Liu, J.-G., Samajdar, R., et al. (2022) · Science

Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates

Cited by 430

Testing the manifold hypothesis

Fefferman, C., Mitter, S., & Narayanan, H. (2016) · Journal of the American Mathematical Society

Machine Learning and AlgorithmsTopological and Geometric Data Analysis

Cited by 430

An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System

Chen, C., Liu, B., Wan, S., Qiao, P., & Pei, Q. (2021) · IEEE Transactions on Intelligent Transportation Systems

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 429

Is blockchain able to enhance environmental sustainability? A systematic review and research agenda from the perspective of Sustainable Development Goals (SDGs)

Parmentola, A., Petrillo, A., Tutore, I., & De Felice, F. (2022) · Business Strategy and the Environment

Blockchain Technology Applications and SecuritySustainable Supply Chain Management

Cited by 429

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Maddox, W., Garipov, T., Izmailov, P., Vetrov, D., & Wilson, A. G. (2019) · arXiv

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 429

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Yue, X., Ni, Y., Zheng, T., Zhang, K., Liu, R., Zhang, G., Stevens, S., Jiang, D., Ren, W., Sun, Y., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 429

Distblocknet: a distributed blockchains-based secure SDN architecture for IoT networks

Sharma, P. K., Singh, S., Jeong, Y.-S., & Park, J. H. (2017) · IEEE Communications Magazine

Software-Defined Networks and 5GBlockchain Technology Applications and Security

Cited by 428

Virtual and augmented reality applications in medicine: analysis of the scientific literature

Yeung, A. W. K., Tosevska, A., Klager, E., Eibensteiner, F., Laxar, D., Stoyanov, J., Glisic, M., Zeiner, S., Kulnik, S. T., Crutzen, R., et al. (2021) · Journal of Medical Internet Research

Augmented Reality ApplicationsVirtual Reality Applications and Impacts

Cited by 428

Gabor convolutional networks

Luan, S., Chen, C., Zhang, B., Han, J., & Liu, J. (2018) · IEEE Transactions on Image Processing

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 428

Towards Universal Fake Image Detectors that Generalize Across Generative Models

Ojha, U., Li, Y., & Lee, Y. J. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 428

Multi-Task Learning with Deep Neural Networks: A Survey

Crawshaw, M. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 428