Check computer science papers: citations, claims and retractions

Federated Learning Over Wireless Fading Channels

Amiri, M. M., & Gunduz, D. (2020) · IEEE Transactions on Wireless Communications

Privacy-Preserving Technologies in DataDistributed Sensor Networks and Detection Algorithms

Cited by 625

Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges

Martínez Beltrán, E. T., Pérez, M. Q., Sánchez, P. M. S., Bernal, S. L., Bovet, G., Pérez, M. G., Pérez, G. M., & Celdrán, A. H. (2023) · IEEE Communications Surveys & Tutorials

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 625

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

Christ, P. F., Elshaer, M. E. A., Ettlinger, F., Tatavarty, S., Bickel, M., Bilic, P., Rempfler, M., Armbruster, M., Hofmann, F., D’Anastasi, M., et al. (2016) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 625

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

Zhang, S., Li, Y., Zhang, S., Shahabi, F., Xia, S., Deng, Y., & Alshurafa, N. (2022) · Sensors

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 625

The Well-Calibrated Bayesian

Dawid, A. P. (1982) · Journal of the American Statistical Association

Bayesian Modeling and Causal InferenceProbability and Statistical Research

Cited by 625

A Review of Machine Learning and IoT in Smart Transportation

Zantalis, F., Koulouras, G., Karabetsos, S., & Kandris, D. (2019) · Future Internet

Internet of Things and AIRoad Transport and Highway Systems

Cited by 625

Lvi-sam: Tightly-coupled lidar-visual-inertial odometry via smoothing and mapping

Shan, T., Englot, B., Ratti, C., & Rus, D. (2021) · 2021 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationInertial Sensor and Navigation

Cited by 624

Face Recognition Systems: A Survey

Kortli, Y., Jridi, M., Al Falou, A., & Atri, M. (2020) · Sensors

Face and Expression RecognitionFace recognition and analysis

Cited by 623

A New SURE Approach to Image Denoising: Interscale Orthonormal Wavelet Thresholding

Luisier, F., Blu, T., & Unser, M. (2007) · IEEE Transactions on Image Processing

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 623

Automatically Categorizing Written Texts by Author Gender

Koppel, M. (2002) · Literary and Linguistic Computing

Authorship Attribution and ProfilingText and Document Classification Technologies

Cited by 623

Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors

Patel, S., Lorincz, K., Hughes, R., Huggins, N., Growdon, J., Standaert, D., Akay, M., Dy, J., Welsh, M., & Bonato, P. (2009) · IEEE Transactions on Information Technology in Biomedicine

Context-Aware Activity Recognition SystemsArtificial Intelligence in Healthcare

Cited by 623

Convolutional Neural Networks: A Survey

Krichen, M. (2023) · Computers

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 623

Time-Series Anomaly Detection Service at Microsoft

Ren, H., Xu, B., Wang, Y., Yi, C., Huang, C., Kou, X., Xing, T., Yang, M., Tong, J., & Zhang, Q. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability

Cited by 623

Bounding Box Regression With Uncertainty for Accurate Object Detection

He, Y., Zhu, C., Wang, J., Savvides, M., & Zhang, X. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 623

A Syntactic Neural Model for General-Purpose Code Generation

Yin, P., & Neubig, G. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchNatural Language Processing Techniques

Cited by 623

Flower: A Friendly Federated Learning Research Framework

Beutel, D. J., Topal, T., Mathur, A., Qiu, X., Fernandez-Marques, J., Gao, Y., Sani, L., Li, K. H., Parcollet, T., de Gusmão, P. P. B., et al. (2020) · arXiv

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 622

Towards Making Systems Forget with Machine Unlearning

Cao, Y., & Yang, J. (2015) · 2015 IEEE Symposium on Security and Privacy

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 622

Sentiment Analysis in Tourism: Capitalizing on Big Data

Alaei, A. R., Becken, S., & Stantic, B. (2019) · Journal of Travel Research

Sentiment Analysis and Opinion MiningDiverse Aspects of Tourism Research

Cited by 622

Demystifying AI: what digital transformation leaders can teach you about realistic artificial intelligence

Brock, J. K.-U., & von Wangenheim, F. (2019) · California Management Review

Artificial Intelligence ApplicationsDigital Innovation in Industries

Cited by 622

YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers

Huang, R., Pedoeem, J., & Chen, C. (2018) · 2018 IEEE International Conference on Big Data (Big Data)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 622

Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

Yang, Q., Steinfeld, A., Rosé, C., & Zimmerman, J. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 622

On evaluation of embodied navigation agents

Anderson, P., Chang, A., Chaplot, D. S., Dosovitskiy, A., Gupta, S., Koltun, V., Kosecka, J., Malik, J., Mottaghi, R., Savva, M., et al. (2018) · arXiv

Reinforcement Learning in RoboticsRobotic Path Planning Algorithms

Cited by 622

Having a body versus moving your body: How agency structures body-ownership

Tsakiris, M., Prabhu, G., & Haggard, P. (2006) · Consciousness and Cognition

Virtual Reality Applications and ImpactsFree Will and Agency

Cited by 622

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

Chen, R. J., Chen, C., Li, Y., Chen, T. Y., Trister, A. D., Krishnan, R. G., & Mahmood, F. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 621