Check computer science papers: citations, claims and retractions

Effect of Information Presentation on Fairness Perceptions of Machine Learning Predictors

van Berkel, N., Goncalves, J., Russo, D., Hosio, S., & Skov, M. B. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 84

Inductive Logic Programming At 30: A New Introduction

Cropper, A., & Dumančić, S. (2022) · Journal of Artificial Intelligence Research

Logic, Reasoning, and KnowledgeData Mining Algorithms and Applications

Cited by 83

Dissecting the Graphcore IPU Architecture via Microbenchmarking

Jia, Z., Tillman, B., Maggioni, M., & Scarpazza, D. P. (2019) · arXiv

Parallel Computing and Optimization TechniquesInterconnection Networks and Systems

Cited by 83

Scientific evidence for clinical text summarization using large language models: scoping review

Bednarczyk, L., Reichenpfader, D., Gaudet-Blavignac, C., Ette, A. K., Zaghir, J., Zheng, Y., Bensahla, A., Bjelogrlic, M., & Lovis, C. (2025) · Journal of Medical Internet Research

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 83

Multicolumn bidirectional long short-term memory for mobile devices-based human activity recognition

Tao, D., Wen, Y., & Hong, R. (2016) · IEEE Internet of Things Journal

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 83

Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability

Yang, Y., Zhou, D.-W., Zhan, D.-C., Xiong, H., & Jiang, Y. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Data Stream Mining TechniquesDomain Adaptation and Few-Shot Learning

Cited by 83

Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization

Zhang, M., Li, H., Pan, S., Chang, X., & Su, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 83

Optimising synaptic learning rules in linear associative memories

Dayan, P., & Willshaw, D. J. (1991) · Biological Cybernetics

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 83

Artificial Whiteness: Politics and Ideology in Artificial Intelligence

Katz, Y. (2020) · Columbia University Press eBooks

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 83

Community Technology and Community Building: Early Results from the Creating Community Connections Project Special Issue: ICTs and Community Networking

Pinkett, R. (2003) · The Information Society

ICT in Developing CommunitiesICT Impact and Policies

Cited by 83

A new sociology of humans and machines

Tsvetkova, M., Yasseri, T., Pescetelli, N., & Werner, T. (2024) · arXiv

Ethics and Social Impacts of AIMulti-Agent Systems and Negotiation

Cited by 83

Contrastive Explanations for Model Interpretability

Jacovi, A., Swayamdipta, S., Ravfogel, S., Elazar, Y., Choi, Y., & Goldberg, Y. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 83

A mobile VR-based respiratory biofeedback game to foster diaphragmatic breathing

Rockstroh, C., Blum, J., & Göritz, A. S. (2021) · Virtual Reality

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 83

Self-consuming generative models go MAD

Casco-Rodriguez, J., Alemohammad, S., Luzi, L., Imtiaz, A., Babaei, H., LeJeune, D., Siahkoohi, A., & Baraniuk, R. (2023) · LatinX in AI at Neural Information Processing Systems Conference 2023

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 83

Sharing neuroimaging studies of human cognition

Horn, J. D. V., Grafton, S. T., Rockmore, D., & Gazzaniga, M. S. (2004) · Nature Neuroscience

Research Data Management PracticesData Analysis and Archiving

Cited by 83

ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics

Taleb, A., Kirchler, M., Monti, R., & Lippert, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 83

Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification

Wang, S., Li, C., Ng, D. W. K., Eldar, Y. C., Poor, H. V., Hao, Q., & Xu, C. (2023) · IEEE Network

Privacy-Preserving Technologies in DataVehicular Ad Hoc Networks (VANETs)

Cited by 83

A cross-disciplinary introduction to quantum annealing-based algorithms

Venegas-Andraca, S. E., Cruz-Santos, W., McGeoch, C., & Lanzagorta, M. (2018) · Contemporary Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 83

Generating Automatic Feedback on UI Mockups with Large Language Models

Duan, P., Warner, J., Li, Y., & Hartmann, B. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 83

Importance of Search and Evaluation Strategies in Neural Dialogue Modeling

Kulikov, I., Miller, A., Cho, K., & Weston, J. (2019) · Proceedings of the 12th International Conference on Natural Language Generation

Speech and dialogue systemsSpeech Recognition and Synthesis

Cited by 83

A comparative analysis of the information-seeking behavior of visually impaired and sighted searchers

Sahib, N. G., Tombros, A., & Stockman, T. (2012) · Journal of the American Society for Information Science and Technology

Information Retrieval and Search BehaviorDigital Accessibility for Disabilities

Cited by 83

Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study

Ye, Q., Xia, J., & Yang, G. (2021) · 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)

Explainable Artificial Intelligence (XAI)COVID-19 diagnosis using AI

Cited by 83

Visual cognition in multimodal large language models

Schulze Buschoff, L. M., Akata, E., Bethge, M., & Schulz, E. (2025) · Nature Machine Intelligence

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 83

Photorealistic Video Generation with Diffusion Models

Gupta, A., Yu, L., Sohn, K., Gu, X., Hahn, M., Fei-Fei, L., Essa, I., Jiang, L., & Lezama, J. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 83