Check computer science papers: citations, claims and retractions

Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments

Green, B., & Chen, Y. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 275

Guiding Principles to Address the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Health Care

Chin, M. H., Afsar-Manesh, N., Bierman, A. S., Chang, C., Colón-Rodríguez, C. J., Dullabh, P., Duran, D. G., Fair, M., Hernandez-Boussard, T., Hightower, M., et al. (2023) · JAMA Network Open

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 275

On the dimensionality of the System Usability Scale: a test of alternative measurement models

Borsci, S., Federici, S., & Lauriola, M. (2009) · Cognitive Processing

Usability and User Interface DesignPsychometric Methodologies and Testing

Cited by 275

Guide to computer security log management

Kent, K., & Souppaya, M. P. (2006)

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 275

Generation of High Resolution Global DSM from ALOS PRISM

Takaku, J., Tadono, T., & Tsutsui, K. (2014) · The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Satellite Image Processing and Photogrammetry3D Surveying and Cultural Heritage

Cited by 275

LIMA: Less Is More for Alignment

Zhou, C., Liu, P., Xu, P., Iyer, S., Sun, J., Mao, Y., Ma, X., Efrat, A., Yu, P., Yu, L., et al. (2023) · arXiv

Domain Adaptation and Few-Shot LearningEducational Assessment and Pedagogy

Cited by 275

UVeQFed: Universal Vector Quantization for Federated Learning

Shlezinger, N., Chen, M., Eldar, Y. C., Poor, H. V., & Cui, S. (2021) · IEEE Transactions on Signal Processing

Privacy-Preserving Technologies in DataDistributed Sensor Networks and Detection Algorithms

Cited by 275

Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities

Zhao, J., Li, R., & Jin, Q. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 275

Solving General Arithmetic Word Problems

Roy, S., & Roth, D. (2016) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 275

The Ubiquitous Camera: An In-Depth Study of Camera Phone Use

Kindberg, T., Spasojevic, M., Fleck, R., & Sellen, A. (2005) · IEEE Pervasive Computing

Innovative Human-Technology InteractionPhotography and Visual Culture

Cited by 275

Self-Supervised Monocular Depth Hints

Watson, J., Firman, M., Brostow, G., & Turmukhambetov, D. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Vision and ImagingRobotics and Sensor-Based Localization

Cited by 275

Neural Photo Editing with Introspective Adversarial Networks

Brock, A., Lim, T., Ritchie, J. M., & Weston, N. (2016) · arXiv

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 275

Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

Wagner, S. J., Reisenbüchler, D., West, N. P., Niehues, J. M., Zhu, J., Foersch, S., Veldhuizen, G. P., Quirke, P., Grabsch, H. I., van den Brandt, P. A., et al. (2023) · Cancer Cell

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 275

Retrieval-based neural source code summarization

Zhang, J., Wang, X., Zhang, H., Sun, H., & Liu, X. (2020) · Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 275

Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

Damen, D., Doughty, H., Farinella, G. M., Fidler, S., Furnari, A., Kazakos, E., Moltisanti, D., Munro, J., Perrett, T., Price, W., et al. (2018) · arXiv

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 274

A proposed solution and future direction for blockchain-based heterogeneous medicare data in cloud environment

Kaur, H., Alam, M. A., Jameel, R., Mourya, A. K., & Chang, V. (2018) · Journal of Medical Systems

Blockchain Technology Applications and SecurityElectronic Health Records Systems

Cited by 274

Artificial intelligence risk management framework :

National Institute of Standards and Technology (US) (2024) · NIST Trustworthy and Responsible AI

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 274

Automatic Chain of Thought Prompting in Large Language Models

Zhang, Z., Zhang, A., Li, M., & Smola, A. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 274

Teaching machine learning in K–12 classroom: Pedagogical and technological trajectories for artificial intelligence education

Tedre, M., Toivonen, T., Kahila, J., Vartiainen, H., Valtonen, T., Jormanainen, I., & Pears, A. (2021) · IEEE Access

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 274

Social Biases in NLP Models as Barriers for Persons with Disabilities

Hutchinson, B., Prabhakaran, V., Denton, E., Webster, K., Zhong, Y., & Denuyl, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 274

Impact of word embedding models on text analytics in deep learning environment: a review

Asudani, D. S., Nagwani, N. K., & Singh, P. (2023) · Artificial Intelligence Review

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 274

Factual Probing Is [MASK]: Learning vs. Learning to Recall

Zhong, Z., Friedman, D., & Chen, D. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 274

Social Biases in NLP Models as Barriers for Persons with Disabilities

Hutchinson, B., Prabhakaran, V., Denton, E., Webster, K., Zhong, Y., & Denuyl, S. (2020) · arXiv

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 274

AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration

Lin, J., Tang, J., Tang, H., Yang, S., Xiao, G., & Han, S. (2025) · GetMobile: Mobile Computing and Communications

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 274