Check computer science papers: citations, claims and retractions

Fast Yet Effective Machine Unlearning

Tarun, A. K., Chundawat, V. S., Mandal, M., & Kankanhalli, M. (2021) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 190

Early History of Machine Learning

Fradkov, A. L. (2020) · IFAC-PapersOnLine

History of Computing TechnologiesCybernetics and Technology in Society

Cited by 190

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Li, Y., Gong, R., Tan, X., Yang, Y., Hu, P., Zhang, Q., Yu, F., Wang, W., & Gu, S. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 190

Intrusion Detection in the IoT Under Data and Concept Drifts: Online Deep Learning Approach

Abdel Wahab, O. (2022) · IEEE Internet of Things Journal

Network Security and Intrusion DetectionData Stream Mining Techniques

Cited by 190

Seeing Versus Doing: Two Modes of Accessing Causal Knowledge.

Waldmann, M. R., & Hagmayer, Y. (2005) · Journal of Experimental Psychology: Learning, Memory, and Cognition

Bayesian Modeling and Causal InferenceLogic, Reasoning, and Knowledge

Cited by 190

The international nucleotide sequence database collaboration

Karsch-Mizrachi, I., Takagi, T., Cochrane, G., & on behalf of the International Nucleotide Sequence Database Collaboration (2018) · Nucleic Acids Research

Research Data Management PracticesGenomics and Phylogenetic Studies

Cited by 190

Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review

Frasca, M., La Torre, D., Pravettoni, G., & Cutica, I. (2024) · Discover Artificial Intelligence

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 190

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

Tong, S., Liu, Z., Zhai, Y., Ma, Y., LeCun, Y., & Xie, S. (2024) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 190

Efficient DETR: Improving End-to-End Object Detector with Dense Prior

Yao, Z., Ai, J., Li, B., & Zhang, C. (2021) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 190

Addressing Complex and Subjective Product-Related Queries with Customer Reviews

McAuley, J., & Yang, A. (2016) · Proceedings of the 25th International Conference on World Wide Web

Sentiment Analysis and Opinion MiningInformation Retrieval and Search Behavior

Cited by 190

How the Design of YouTube Influences User Sense of Agency

Lukoff, K., Lyngs, U., Zade, H., Liao, J. V., Choi, J., Fan, K., Munson, S. A., & Hiniker, A. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionDigital Media and Philosophy

Cited by 190

Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training

Abavisani, M., Joze, H. R. V., & Patel, V. M. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Hand Gesture Recognition SystemsHuman Pose and Action Recognition

Cited by 190

Digital motherhood: how does technology help new mothers?

Gibson, L., & Hanson, V. L. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionWork-Family Balance Challenges

Cited by 190

Combining hierarchical and goal-directed speed-up techniques for dijkstra's algorithm

Bauer, R., Delling, D., Sanders, P., Schieferdecker, D., Schultes, D., & Wagner, D. (2010) · ACM Journal of Experimental Algorithmics

Complexity and Algorithms in GraphsGraph Theory and Algorithms

Cited by 190

Interpretable machine learning for imbalanced credit scoring datasets

Chen, Y., Calabrese, R., & Martin-Barragan, B. (2024) · European Journal of Operational Research

Explainable Artificial Intelligence (XAI)Imbalanced Data Classification Techniques

Cited by 190

Spatiotemporal Inconsistency Learning for DeepFake Video Detection

Gu, Z., Chen, Y., Yao, T., Ding, S., Li, J., Huang, F., & Ma, L. (2021) · Proceedings of the 29th ACM International Conference on Multimedia

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 189

Ares: A framework for quantifying the resilience of deep neural networks

Reagen, B., Gupta, U., Pentecost, L., Whatmough, P., Lee, S. K., Mulholland, N., Brooks, D., & Wei, G.-Y. (2018) · 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC)

Distributed systems and fault toleranceRadiation Effects in Electronics

Cited by 189

Large Language Models for Cyber Security: A Systematic Literature Review

Xu, H., Wang, S., Li, N., Wang, K., Zhao, Y., Chen, K., Yu, T., Liu, Y., & Wang, H. (2025) · ACM Transactions on Software Engineering and Methodology

Adversarial Robustness in Machine LearningNetwork Security and Intrusion Detection

Cited by 189

Bluetooth: a viable solution for IoT? [Industry Perspectives]

Chang, K.-H. (2014) · IEEE Wireless Communications

Bluetooth and Wireless Communication TechnologiesIoT Networks and Protocols

Cited by 189

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

Tong, S., Liu, Z., Zhai, Y., Ma, Y., LeCun, Y., & Xie, S. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 189

Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases

Gardner, M., Talukdar, P., Krishnamurthy, J., & Mitchell, T. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingAdvanced Graph Neural Networks

Cited by 189

An artificial intelligence life cycle: from conception to production

De Silva, D., & Alahakoon, D. (2022) · Patterns

Artificial Intelligence ApplicationsSoftware Engineering Techniques and Practices

Cited by 189

Mastering diverse control tasks through world models

Hafner, D., Pasukonis, J., Ba, J., & Lillicrap, T. (2025) · Nature

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 189

Large-scale Text-to-Image Generation Models for Visual Artists’ Creative Works

Ko, H.-K., Park, G., Jeon, H., Jo, J., Kim, J., & Seo, J. (2023) · Proceedings of the 28th International Conference on Intelligent User Interfaces

Digital Media and Visual ArtGenerative Adversarial Networks and Image Synthesis

Cited by 189