Check computer science papers: citations, claims and retractions

BLOG: Probabilistic Models with Unknown Objects

Milch, B., Marthi, B., Russell, S., Sontag, D., Ong, D. L., & Kolobov, A. (2007) · Introduction to Statistical Relational Learning

Bayesian Modeling and Causal InferenceLogic, Reasoning, and Knowledge

Cited by 390

Statistically Significant Detection of Linguistic Change

Kulkarni, V., Al-Rfou, R., Perozzi, B., & Skiena, S. (2015) · Proceedings of the 24th International Conference on World Wide Web

Topic ModelingDigital Humanities and Scholarship

Cited by 390

You Can't Stay Here: The Efficacy of Reddit's 2015 Ban Examined Through Hate Speech

Chandrasekharan, E., Pavalanathan, U., Srinivasan, A., Glynn, A., Eisenstein, J., & Gilbert, E. (2017) · Proceedings of the ACM on Human-Computer Interaction

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 390

Threatening a rubber hand that you feel is yours elicits a cortical anxiety response.

Ehrsson, H. H., Wiech, K., Weiskopf, N., Dolan, R. J., & Passingham, R. E. (2007) · Proceedings of the National Academy of Sciences

Virtual Reality Applications and ImpactsTactile and Sensory Interactions

Cited by 390

Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models

Krause, J., Perer, A., & Ng, K. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsExplainable Artificial Intelligence (XAI)

Cited by 390

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Liu, J., Xia, C. S., Wang, Y., & Zhang, L. (2023) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 390

Big Data: Deep Learning for financial sentiment analysis

Sohangir, S., Wang, D., Pomeranets, A., & Khoshgoftaar, T. M. (2018) · Journal of Big Data

Sentiment Analysis and Opinion MiningStock Market Forecasting Methods

Cited by 390

A Survey of Value Sensitive Design Methods

Friedman, B., Hendry, D. G., & Borning, A. (2017) · Foundations and Trends® in Human–Computer Interaction

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 389

Florence: A New Foundation Model for Computer Vision

Yuan, L., Chen, D., Chen, Y.-L., Codella, N., Dai, X., Gao, J., Hu, H., Huang, X., Li, B., Li, C., et al. (2021) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 389

Gaussian Differential Privacy

Dong, J., Roth, A., & Su, W. J. (2019) · arXiv

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 389

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

Chen, X., Zhang, N., Xie, X., Deng, S., Yao, Y., Tan, C., Huang, F., Si, L., & Chen, H. (2022) · Proceedings of the ACM Web Conference 2022

Topic ModelingNatural Language Processing Techniques

Cited by 389

Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras

Gordon, A., Li, H., Jonschkowski, R., & Angelova, A. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Vision and ImagingRobotics and Sensor-Based Localization

Cited by 389

Artificial Intelligence: Definition and Background

Sheikh, H., Prins, C., & Schrijvers, E. (2023) · Research for Policy

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 389

UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

Ding, X., Zhang, Y., Ge, Y., Zhao, S., Song, L., Yue, X., & Shan, Y. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 389

Memory in the Age of AI Agents

Hu, Y., Liu, S., Yue, Y., Zhang, G., Liu, B., Zhu, F., Lin, J., Guo, H., Dou, S., Xi, Z., et al. (2025) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 389

Emotion Recognition from Speech Using wav2vec 2.0 Embeddings

Pepino, L., Riera, P., & Ferrer, L. (2021) · Interspeech 2021

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 389

Machine Learning

Mohammed, M., Khan, M. B., & Bashier, E. B. M. (2016) · CRC Press eBooks

Machine Learning and AlgorithmsData Mining and Machine Learning Applications

Cited by 389

Compiler validation via equivalence modulo inputs

Le, V., Afshari, M., & Su, Z. (2014) · Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation

Software Testing and Debugging TechniquesLogic, programming, and type systems

Cited by 388

Too much, too little, or just right? Ways explanations impact end users' mental models

Kulesza, T., Stumpf, S., Burnett, M., Yang, S., Kwan, I., & Wong, W.-K. (2013) · 2013 IEEE Symposium on Visual Languages and Human Centric Computing

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 388

Direct Evidence for Active Suppression of Salient-but-Irrelevant Sensory Inputs

Gaspelin, N., Leonard, C. J., & Luck, S. J. (2015) · Psychological Science

Visual Attention and Saliency DetectionNeural and Behavioral Psychology Studies

Cited by 388

Artificial intelligence in oncology

Shimizu, H., & Nakayama, K. I. (2020) · Cancer Science

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 388

Understanding Sustained Participation in Open Source Software Projects

Fang, Y., & Neufeld, D. (2009) · Journal of Management Information Systems

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 388

Explanations as Mechanisms for Supporting Algorithmic Transparency

Rader, E., Cotter, K., & Cho, J. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 388

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Cao, D., Wang, Y., Duan, J., Zhang, C., Zhu, X., Huang, C., Tong, Y., Xu, B., Bai, J., Tong, J., et al. (2021) · arXiv

Time Series Analysis and ForecastingTraffic Prediction and Management Techniques

Cited by 388