Check computer science papers: citations, claims and retractions

GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Patwardhan, T., Dias, R., Proehl, E., Kim, G., Wang, M., Watkins, O., Fishman, S. P., Aljubeh, M., Thacker, P., Fauconnet, L., et al. (2025) · arXiv

Artificial Intelligence ApplicationsTopic Modeling

Cited by 189

Deep learning for small and big data in psychiatry

Koppe, G., Meyer-Lindenberg, A., & Durstewitz, D. (2021) · Neuropsychopharmacology

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 189

Delay Minimization for NOMA-MEC Offloading

Ding, Z., Ng, D. W. K., Schober, R., & Poor, H. V. (2018) · IEEE Signal Processing Letters

IoT and Edge/Fog ComputingAdvanced Wireless Communication Technologies

Cited by 189

Manufacturer Usage Description Specification

Lear, E., Droms, R., & Romascanu, D. (2019)

Access Control and TrustIPv6, Mobility, Handover, Networks, Security

Cited by 189

Automatic facial expression interpretation: Where human-computer interaction, artificial intelligence and cognitive science intersect

Lisetti, C. L., & Schiano, D. J. (2000) · Pragmatics & Cognition

Emotion and Mood RecognitionFace recognition and analysis

Cited by 189

Verizon: Data Breach Investigations Report 2020

(2020) · Computer Fraud & Security

Information and Cyber SecurityCybercrime and Law Enforcement Studies

Cited by 189

SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Zhang, D., Li, S., Zhang, X., Zhan, J., Wang, P., Zhou, Y., & Qiu, X. (2023) · arXiv

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 189

Explainable decision forest: Transforming a decision forest into an interpretable tree

Sagi, O., & Rokach, L. (2020) · Information Fusion

Explainable Artificial Intelligence (XAI)Data Mining Algorithms and Applications

Cited by 189

MEMO: Test Time Robustness Via Adaptation and Augmentation

Zhang, M., Levine, S., & Finn, C. (2022) · Advances in Neural Information Processing Systems 35

Software Testing and Debugging TechniquesAdversarial Robustness in Machine Learning

Cited by 189

Searching as learning: A systematization based on literature

Vakkari, P. (2016) · Journal of Information Science

Information Retrieval and Search BehaviorLibrary Science and Information Literacy

Cited by 189

Evaluating the Underlying Gender Bias in Contextualized Word Embeddings

Basta, C., Costa-jussà, M. R., & Casas, N. (2019) · Proceedings of the First Workshop on Gender Bias in Natural Language Processing

Ethics and Social Impacts of AITopic Modeling

Cited by 189

Mapping computational concepts to GPUs

Harris, M. (2005) · ACM SIGGRAPH 2005 Courses on - SIGGRAPH '05

Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques

Cited by 189

Coding as a Playground: Programming and Computational Thinking in the Early Childhood Classroom

Bers, M. U. (2020) · Routledge eBooks

Teaching and Learning ProgrammingChild Development and Digital Technology

Cited by 189

Sentiment Analysis in the Age of Generative AI

Krugmann, J. O., & Hartmann, J. (2024) · Customer Needs and Solutions

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 189

Stronger Data Poisoning Attacks Break Data Sanitization Defenses

Koh, P. W., Steinhardt, J., & Liang, P. (2018) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 189

Efficient, robust and accurate fitting of a 3D morphable model

Romdhani, & Vetter (2003) · Proceedings Ninth IEEE International Conference on Computer Vision

Face recognition and analysisMedical Image Segmentation Techniques

Cited by 189

Intelligence in IoT-Based 5G Networks: Opportunities and Challenges

Javaid, N., Sher, A., Nasir, H., & Guizani, N. (2018) · IEEE Communications Magazine

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 189

You Said That?: Synthesising Talking Faces from Audio

Jamaludin, A., Chung, J. S., & Zisserman, A. (2019) · International Journal of Computer Vision

Generative Adversarial Networks and Image SynthesisSpeech and Audio Processing

Cited by 189

BBQ: A Hand-Built Bias Benchmark for Question Answering

Parrish, A., Chen, A., Nangia, N., Padmakumar, V., Phang, J., Thompson, J., Htut, P. M., & Bowman, S. R. (2021) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 189

Eight Methods to Evaluate Robust Unlearning in LLMs

Lynch, A., Guo, P., Ewart, A., Casper, S., & Hadfield-Menell, D. (2024) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 188

Learning Aligned Cross-Modal Representations from Weakly Aligned Data

Castrejon, L., Aytar, Y., Vondrick, C., Pirsiavash, H., & Torralba, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 188

FP-outlier: Frequent pattern based outlier detection

He, Z., Xu, X., Huang, Z., & Deng, S. (2005) · Computer Science and Information Systems

Anomaly Detection Techniques and ApplicationsData Mining Algorithms and Applications

Cited by 188

New Methods for Digital Generation and Postprocessing of Random Data

Golic, J. D. J. (2006) · IEEE Transactions on Computers

Physical Unclonable Functions (PUFs) and Hardware SecurityCoding theory and cryptography

Cited by 188

Privacy Risks of General-Purpose Language Models

Pan, X., Zhang, M., Ji, S., & Yang, M. (2020) · 2020 IEEE Symposium on Security and Privacy (SP)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 188