Check computer science papers: citations, claims and retractions

Distributed Real-Time Anomaly Detection in Networked Industrial Sensing Systems

Chen, P.-Y., Yang, S., & McCann, J. A. (2015) · IEEE Transactions on Industrial Electronics

Anomaly Detection Techniques and ApplicationsFault Detection and Control Systems

Cited by 148

Don't mind me touching my wrist: a case study of interacting with on-body technology in public

Profita, H. P., Clawson, J., Gilliland, S., Zeagler, C., Starner, T., Budd, J., & Do, E. Y.-L. (2013) · Proceedings of the 2013 International Symposium on Wearable Computers

Interactive and Immersive DisplaysInnovative Human-Technology Interaction

Cited by 148

BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion

Black, M. J., Patel, P., Tesch, J., & Yang, J. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action Recognition3D Shape Modeling and Analysis

Cited by 148

Distributed and efficient object detection in edge computing: Challenges and solutions

Ren, J., Guo, Y., Zhang, D., Liu, Q., & Zhang, Y. (2018) · IEEE Network

IoT and Edge/Fog ComputingVideo Surveillance and Tracking Methods

Cited by 148

Demographic Factors Improve Classification Performance

Hovy, D. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Authorship Attribution and ProfilingTopic Modeling

Cited by 148

Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares

Ahmed, T., Coates, M., & Lakhina, A. (2007) · IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications

Anomaly Detection Techniques and ApplicationsNetwork Security and Intrusion Detection

Cited by 148

Dynamic Zoom-in Network for Fast Object Detection in Large Images

Gao, M., Yu, R., Li, A., Morariu, V. I., & Davis, L. S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 148

Scaling Self-Supervised Learning for Histopathology with Masked Image Modeling

Filiot, A., Ghermi, R., Olivier, A., Jacob, P., Fidon, L., Camara, A., Mac Kain, A., Saillard, C., & Schiratti, J.-B. (2023) · medRxiv

AI in cancer detectionDomain Adaptation and Few-Shot Learning

Cited by 148

Measuring acute stress response through physiological signals: towards a quantitative assessment of stress

Arza, A., Garzón-Rey, J. M., Lázaro, J., Gil, E., Lopez-Anton, R., de la Camara, C., Laguna, P., Bailon, R., & Aguiló, J. (2019) · Medical & Biological Engineering & Computing

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 148

Re-evaluating Evaluation in Text Summarization

Bhandari, M., Gour, P. N., Ashfaq, A., Liu, P., & Neubig, G. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Advanced Text Analysis TechniquesTopic Modeling

Cited by 148

Tightening Quantum Speed Limits for Almost All States

Campaioli, F., Pollock, F. A., Binder, F. C., & Modi, K. (2018) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 148

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Ahmed, T., Ghosh, S., Bansal, C., Zimmermann, T., Zhang, X., & Rajmohan, S. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 148

Active Learning for Deep Detection Neural Networks

Aghdam, H. H., Gonzalez-Garcia, A., Lopez, A., & Weijer, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 148

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

Saad-Falcon, J., Khattab, O., Potts, C., & Zaharia, M. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 148

A non-orthogonal variational quantum eigensolver

Huggins, W. J., Lee, J., Baek, U., O’Gorman, B., & Whaley, K. B. (2020) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 148

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Hong, W., Ding, M., Zheng, W., Liu, X., & Tang, J. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 148

The Basic AI Drives

Omohundro, S. M. (2018) · Artificial Intelligence Safety and Security

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 148

The Yale Open Data Access (YODA) Project — A Mechanism for Data Sharing

Krumholz, H. M., & Waldstreicher, J. (2016) · New England Journal of Medicine

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 148

A Decade of Sustainable HCI: Connecting SHCI to the Sustainable Development Goals

Hansson, L. Å. E. J., Cerratto Pargman, T., & Pargman, D. S. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionGreen IT and Sustainability

Cited by 148

A Survey of Techniques for Mobile Service Encrypted Traffic Classification Using Deep Learning

Wang, P., Chen, X., Ye, F., & Sun, Z. (2019) · IEEE Access

Internet Traffic Analysis and Secure E-votingWireless Signal Modulation Classification

Cited by 148

An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models

Jiarpakdee, J., Tantithamthavorn, C. K., Dam, H. K., & Grundy, J. (2022) · IEEE Transactions on Software Engineering

Software Engineering ResearchExplainable Artificial Intelligence (XAI)

Cited by 148

How Generative AI Can Augment Human Creativity

Eapen, T. T., Finkenstadt, D. J., Folk, J., & Venkataswamy, L. (2024) · SSRN Electronic Journal

Artificial Intelligence ApplicationsCreativity in Education and Neuroscience

Cited by 148

Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media

Kulshrestha, J., Eslami, M., Messias, J., Zafar, M. B., Ghosh, S., Gummadi, K. P., & Karahalios, K. (2017) · Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

Information Retrieval and Search BehaviorEthics and Social Impacts of AI

Cited by 148

Softwarization of Internet of Things Infrastructure for Secure and Smart Healthcare

Salahuddin, M. A., Al-Fuqaha, A., Guizani, M., Shuaib, K., & Sallabi, F. (2017) · Computer

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 148