Check computer science papers: citations, claims and retractions

Properties of horizontal saccades accompanied by blinks

Rottach, K. G., Das, V. E., Wohlgemuth, W., Zivotofsky, A. Z., & Leigh, R. J. (1998) · Journal of Neurophysiology

Gaze Tracking and Assistive TechnologyMotor Control and Adaptation

Cited by 87

Privacy-Preserving Adversarial Networks

Tripathy, A., Wang, Y., & Ishwar, P. (2019) · 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 87

Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization

Tseng, Y.-M., Huang, Y.-C., Hsiao, T.-Y., Chen, W.-L., Huang, C.-W., Meng, Y., & Chen, Y.-N. (2024) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 87

Sim2real transfer for reinforcement learning without dynamics randomization

Kaspar, M., Munoz Osorio, J. D., & Bock, J. (2020) · 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 87

Predictive text encourages predictable writing

Arnold, K. C., Chauncey, K., & Gajos, K. Z. (2020) · Proceedings of the 25th International Conference on Intelligent User Interfaces

Usability and User Interface DesignDigital Communication and Language

Cited by 87

Heterogeneous Blockchain and AI-Driven Hierarchical Trust Evaluation for 5G-Enabled Intelligent Transportation Systems

Wang, X., Garg, S., Lin, H., Kaddoum, G., Hu, J., & Hassan, M. M. (2021) · IEEE Transactions on Intelligent Transportation Systems

Blockchain Technology Applications and SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 87

Transformers learn in-context by gradient descent

von Oswald, J., Niklasson, E., Randazzo, E., Sacramento, J., Mordvintsev, A., Zhmoginov, A., & Vladymyrov, M. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 87

High-throughput histopathological image analysis via robust cell segmentation and hashing

Zhang, X., Xing, F., Su, H., Yang, L., & Zhang, S. (2015) · Medical Image Analysis

AI in cancer detectionCell Image Analysis Techniques

Cited by 87

The UEA multivariate time series classification archive, 2018

Bagnall, A., Dau, H. A., Lines, J., Flynn, M., Large, J., Bostrom, A., Southam, P., & Keogh, E. (2018) · arXiv

Time Series Analysis and ForecastingMusic and Audio Processing

Cited by 87

Harnessing EHR data for health research

Tang, A. S., Woldemariam, S. R., Miramontes, S., Norgeot, B., Oskotsky, T. T., & Sirota, M. (2024) · Nature Medicine

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 87

Large Margin Local Estimate With Applications to Medical Image Classification

Song, Y., Cai, W., Huang, H., Zhou, Y., Feng, D. D., Wang, Y., Fulham, M. J., & Chen, M. (2015) · IEEE Transactions on Medical Imaging

Image Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 87

Detecting and Remediating Harmful Data Shifts for the Responsible Deployment of Clinical AI Models

Subasri, V., Krishnan, A., Kore, A., Dhalla, A., Pandya, D., Wang, B., Malkin, D., Razak, F., Verma, A. A., Goldenberg, A., et al. (2025) · JAMA Network Open

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 87

Prediction of Learner’s Profile based on Learning Styles in Adaptive E-learning System

Kolekar, S. V., Pai, R. M., & M M, M. P. (2017) · International Journal of Emerging Technologies in Learning (iJET)

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 87

Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution

Chu, L., Hu, X., Hu, J., Wang, L., & Pei, J. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Explainable Artificial Intelligence (XAI)Neural Networks and Applications

Cited by 87

Biology and medicine in the landscape of quantum advantages

Cordier, B. A., Sawaya, N. P. D., Guerreschi, G. G., & McWeeney, S. K. (2022) · Journal of The Royal Society Interface

Quantum Computing Algorithms and ArchitectureDNA and Biological Computing

Cited by 87

Can we translate letters?

Vilar, D., Peter, J.-T., & Ney, H. (2007) · Proceedings of the Second Workshop on Statistical Machine Translation - StatMT '07

Natural Language Processing TechniquesSpeech Recognition and Synthesis

Cited by 87

The ethics of artificial intelligence, UNESCO and the African Ubuntu perspective

van Norren, D. E. (2023) · Journal of Information, Communication and Ethics in Society

Ethics and Social Impacts of AIAfrican cultural and philosophical studies

Cited by 87

Impact of Virtual Reality in Healthcare: A Review

Pillai, A. S., & Mathew, P. S. (2019) · Advances in Psychology, Mental Health, and Behavioral Studies

Virtual Reality Applications and ImpactsSurgical Simulation and Training

Cited by 87

Diversity and Inclusion Metrics in Subset Selection

Mitchell, M., Baker, D., Moorosi, N., Denton, R., Hutchinson, B., Hanna, A., Gebru, T., & Morgenstern, J. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 87

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Lee, H., Phatale, S., Mansoor, H., Mesnard, T., Ferret, J., Lu, K., Bishop, C., Hall, E., Carbune, V., Rastogi, A., et al. (2023) · arXiv

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 87

Context-Based Adaptation of Mobile Applications in Tourism

Höpken, W., Fuchs, M., Zanker, M., & Beer, T. (2010) · Information Technology & Tourism

Mobile and Web ApplicationsUsability and User Interface Design

Cited by 87

The LAMBADA dataset: Word prediction requiring a broad discourse context

Paperno, D., Kruszewski, G., Lazaridou, A., Pham, N. Q., Bernardi, R., Pezzelle, S., Baroni, M., Boleda, G., & Fernandez, R. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 87

DW-Net: A cascaded convolutional neural network for apical four-chamber view segmentation in fetal echocardiography

Xu, L., Liu, M., Shen, Z., Wang, H., Liu, X., Wang, X., Wang, S., Li, T., Yu, S., Hou, M., et al. (2020) · Computerized Medical Imaging and Graphics

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 87

LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks

Jiang, Y., Kim, H., Asnani, H., Kannan, S., Oh, S., & Viswanath, P. (2020) · IEEE Journal on Selected Areas in Information Theory

Error Correcting Code TechniquesCoding theory and cryptography

Cited by 87