Check computer science papers: citations, claims and retractions

Adaptive personalized interfaces—A question of viability

Greenberg, S., & Witten, I. H. (1985) · Behaviour & Information Technology

Usability and User Interface DesignIntelligent Tutoring Systems and Adaptive Learning

Cited by 136

Federated learning for healthcare applications

Chaddad, A., Wu, Y., & Desrosiers, C. (2024) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 136

The Evolution of Research on Digital Education

Dillenbourg, P. (2016) · International Journal of Artificial Intelligence in Education

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 136

Review of virtual reality treatment in psychiatry: evidence versus current diffusion and use

Mishkind, M. C., Norr, A. M., Katz, A. C., & Reger, G. M. (2017) · Current Psychiatry Reports

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 136

3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model

Nair, P., & Cavallaro, A. (2009) · IEEE Transactions on Multimedia

Face recognition and analysisFace and Expression Recognition

Cited by 135

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Luo, Y., Yang, Z., Meng, F., Li, Y., Zhou, J., & Zhang, Y. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 135

Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making

Aghaei, S., Azizi, M. J., & Vayanos, P. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 135

Explainable Artificial Intelligence for Tabular Data: A Survey

Sahakyan, M., Aung, Z., & Rahwan, T. (2021) · IEEE Access

Explainable Artificial Intelligence (XAI)Privacy-Preserving Technologies in Data

Cited by 135

Text Embeddings by Weakly-Supervised Contrastive Pre-training

Wang, L., Yang, N., Huang, X., Jiao, B., Yang, L., Jiang, D., Majumder, R., & Wei, F. (2022) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 135

Episodic Transformer for Vision-and-Language Navigation

Pashevich, A., Schmid, C., & Sun, C. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 135

Transformer for object detection: Review and benchmark

Li, Y., Miao, N., Ma, L., Shuang, F., & Huang, X. (2023) · Engineering Applications of Artificial Intelligence

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 135

Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Thudi, A., Deza, G., Chandrasekaran, V., & Papernot, N. (2022) · 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P)

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 135

Information security risk assessments following cybersecurity breaches: The mediating role of top management attention to cybersecurity

Shaikh, F. A., & Siponen, M. (2023) · Computers & Security

Information and Cyber SecurityInformation Technology Governance and Strategy

Cited by 135

Performance and User Experience of Touchscreen and Gesture Keyboards in a Lab Setting and in the Wild

Reyal, S., Zhai, S., & Kristensson, P. O. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 135

Adopting AI: how familiarity breeds both trust and contempt

Horowitz, M. C., Kahn, L., Macdonald, J., & Schneider, J. (2024) · AI & SOCIETY

Ethics and Social Impacts of AIHuman-Automation Interaction and Safety

Cited by 135

Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics

Wong, R. Y., Madaio, M. A., & Merrill, N. (2023) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 135

Active Learning for Deep Object Detection via Probabilistic Modeling

Choi, J., Elezi, I., Lee, H.-J., Farabet, C., & Alvarez, J. M. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 135

The explainability paradox: Challenges for xAI in digital pathology

Evans, T., Retzlaff, C. O., Geißler, C., Kargl, M., Plass, M., Müller, H., Kiehl, T.-R., Zerbe, N., & Holzinger, A. (2022) · Future Generation Computer Systems

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

Cited by 135

Time for Change: Why Learning Analytics Needs Temporal Analysis

Knight, S., Friend Wise, A., & Chen, B. (2017) · Journal of Learning Analytics

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 135

Data-Free Network Quantization With Adversarial Knowledge Distillation

Choi, Y., Choi, J., El-Khamy, M., & Lee, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsAdversarial Robustness in Machine Learning

Cited by 135

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Liu, B., Zhu, Y., Gao, C., Feng, Y., Liu, Q., Zhu, Y., & Stone, P. (2023) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 135

Automatic segmentation of the right ventricle from cardiac MRI using a learning‐based approach

Avendi, M. R., Kheradvar, A., & Jafarkhani, H. (2017) · Magnetic Resonance in Medicine

Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics

Cited by 135

Can people identify original and manipulated photos of real-world scenes?

Nightingale, S. J., Wade, K. A., & Watson, D. G. (2017) · Cognitive Research: Principles and Implications

Digital Media Forensic DetectionVisual perception and processing mechanisms

Cited by 135

Machine learning for middle schoolers: Learning through data-driven design

Vartiainen, H., Toivonen, T., Jormanainen, I., Kahila, J., Tedre, M., & Valtonen, T. (2021) · International Journal of Child-Computer Interaction

Teaching and Learning ProgrammingProblem and Project Based Learning

Cited by 135