Check computer science papers: citations, claims and retractions

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Deitke, M., Clark, C., Lee, S., Tripathi, R., Yang, Y., Park, J. S., Salehi, M., Muennighoff, N., Lo, K., Soldaini, L., et al. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 67

The ethical requirement of explainability for AI-DSS in healthcare: a systematic review of reasons

Freyer, N., Groß, D., & Lipprandt, M. (2024) · BMC Medical Ethics

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

Cited by 67

Interpersonal distance during real-time social interaction: insights from subjective experience, behavior, and physiology

Kroczek, L. O. H., Pfaller, M., Lange, B., Müller, M., & Mühlberger, A. (2020) · Frontiers in Psychiatry

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 67

A review of visualisation-as-explanation techniques for convolutional neural networks and their evaluation

Mohamed, E., Sirlantzis, K., & Howells, G. (2022) · Displays

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 67

musicnn: Pre-trained convolutional neural networks for music audio tagging

Pons, J., & Serra, X. (2019) · arXiv

Music and Audio ProcessingMusic Technology and Sound Studies

Cited by 67

WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models

Yuan, S., Zhao, H., Du, Z., Ding, M., Liu, X., Cen, Y., Zou, X., Yang, Z., & Tang, J. (2021) · AI Open

Topic ModelingNatural Language Processing Techniques

Cited by 67

Sharing data from clinical trials: The rationale for a controlled access approach

Sydes, M. R., Johnson, A. L., Meredith, S. K., Rauchenberger, M., South, A., & Parmar, M. K. (2015) · Trials

Research Data Management PracticesEthics in Clinical Research

Cited by 67

Annif: DIY automated subject indexing using multiple algorithms

Suominen, O. (2019) · LIBER Quarterly: The Journal of the Association of European Research Libraries

Library Science and Information SystemsText and Document Classification Technologies

Cited by 67

“They only care to show us the wheelchair”: disability representation in text-to-image AI models

Mack, K. A., Qadri, R., Denton, R., Kane, S. K., & Bennett, C. L. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIDisability Rights and Representation

Cited by 67

Blockchain Technology as Economic Infrastructure: Revisiting the Electronic Markets Hypothesis

Berg, C., Davidson, S., & Potts, J. (2019) · Frontiers in Blockchain

Blockchain Technology Applications and SecurityEconomic Theory and Institutions

Cited by 67

Large Associative Memory Problem in Neurobiology and Machine Learning

Krotov, D., & Hopfield, J. (2020) · arXiv

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 67

AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease

Mao, C., Xu, J., Rasmussen, L., Li, Y., Adekkanattu, P., Pacheco, J., Bonakdarpour, B., Vassar, R., Shen, L., Jiang, G., et al. (2023) · Journal of Biomedical Informatics

Machine Learning in HealthcareDementia and Cognitive Impairment Research

Cited by 67

SP-NAS: Serial-to-Parallel Backbone Search for Object Detection

Jiang, C., Xu, H., Zhang, W., Liang, X., & Li, Z. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 67

PETSc/TAO Users Manual (Rev. 3.19)

Argonne National Laboratory (ANL), A., Balay, S., USDOE Office of Science (SC), A. S. C. R. (., Abhyankar, S., Adams, M., Benson, S., Brown, J., Brune, P., Buschelman, K., Constantinescu, E., et al. (2023)

Matrix Theory and AlgorithmsParallel Computing and Optimization Techniques

Cited by 67

Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning

Chen, T., Zhang, K., Giannakis, G. B., & Basar, T. (2022) · IEEE Transactions on Control of Network Systems

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 67

Weak feature size and persistent homology: computing homology of solids in R n from noisy data samples

Chazal, F., & Lieutier, A. (2005) · Proceedings of the twenty-first annual symposium on Computational geometry

Topological and Geometric Data AnalysisGeometric and Algebraic Topology

Cited by 67

Investigating the applicability of user models for motion-impaired users

Keates, S., Clarkson, J., & Robinson, P. (2000) · Proceedings of the fourth international ACM conference on Assistive technologies

Usability and User Interface DesignDigital Accessibility for Disabilities

Cited by 67

Feedback-Based Quantum Optimization

Magann, A. B., Rudinger, K. M., Grace, M. D., & Sarovar, M. (2022) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 67

Federated Learning for Healthcare: A Comprehensive Review

Dhade, P., & Shirke, P. (2024) · RAiSE-2023

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 67

Expression recognition from 3D dynamic faces using robust spatio-temporal shape features

Le, V., Tang, H., & Huang, T. S. (2011) · Face and Gesture 2011

Face recognition and analysisFace and Expression Recognition

Cited by 67

New opportunities, challenges, and applications of edge-ai for connected healthcare in smart cities

Kamruzzaman, M. M. (2021) · 2021 IEEE Globecom Workshops (GC Wkshps)

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 67

The Plastic Surgery Hypothesis in the Era of Large Language Models

Xia, C. S., Ding, Y., & Zhang, L. (2023) · 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 67

Structured information extraction from complex scientific text with fine-tuned large language models

Dunn, A., Dagdelen, J., Walker, N., Lee, S., Rosen, A. S., Ceder, G., Persson, K., & Jain, A. (2022) · arXiv

Topic ModelingMachine Learning in Materials Science

Cited by 67

A multiple combined method for rebalancing medical data with class imbalances

Wang, Y.-C., & Cheng, C.-H. (2021) · Computers in Biology and Medicine

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 66