Check computer science papers: citations, claims and retractions

HyperNetworks

Ha, D., Dai, A., & Le, Q. V. (2016) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 100

Agentic AI: A Comprehensive Survey of Technologies, Applications, and Societal Implications

Pati, A. K. (2025) · IEEE Access

Artificial Intelligence ApplicationsPsychiatry, Mental Health, Neuroscience

Cited by 100

Auditing Elon Musk's Impact on Hate Speech and Bots

Hickey, D., Schmitz, M., Fessler, D., Smaldino, P. E., Muric, G., & Burghardt, K. (2023) · Proceedings of the International AAAI Conference on Web and Social Media

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 100

Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2

Borji, A. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 100

Pedestrian Detection in Severe Weather Conditions

Tumas, P., Nowosielski, A., & Serackis, A. (2020) · IEEE Access

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 100

Multi-Domain Information Fusion for Insider Threat Detection

Eldardiry, H., Bart, E., Liu, J., Hanley, J., Price, B., & Brdiczka, O. (2013) · 2013 IEEE Security and Privacy Workshops

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 100

Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education

Jin, H., Lee, S., Shin, H., & Kim, J. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Intelligent Tutoring Systems and Adaptive LearningTeaching and Learning Programming

Cited by 99

On the Simplicity and Speed of Programs for Computing Infinite Sets of Natural Numbers

Chaitin, G. J. (1969) · Journal of the ACM

Computability, Logic, AI Algorithmssemigroups and automata theory

Cited by 99

Revisiting Weakly Supervised Pre-Training of Visual Perception Models

Singh, M., Gustafson, L., Adcock, A., De Freitas Reis, V., Gedik, B., Kosaraju, R. P., Mahajan, D., Girshick, R., Dollar, P., & Van Der Maaten, L. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 99

Investigating the usability and user experiences of voice user interface: a case of Google home smart speaker

Pyae, A., & Joelsson, T. N. (2018) · Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 99

Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications

Szwarcman, D., Roy, S., Fraccaro, P., Gíslason, Þ. E., Blumenstiel, B., Ghosal, R., de Oliveira, P. H., Almeida, J. L. D. S., Sedona, R., Kang, Y., et al. (2024) · arXiv

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 99

Combining support vector machine with genetic algorithm to classify ultrasound breast tumor images

Wu, W.-J., Lin, S.-W., & Moon, W. K. (2012) · Computerized Medical Imaging and Graphics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 99

Variational Quantum Boltzmann Machines

Zoufal, C., Lucchi, A., & Woerner, S. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 99

We Need to Talk about Standard Splits

Gorman, K., & Bedrick, S. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Natural Language Processing TechniquesMachine Learning and Data Classification

Cited by 99

Compressed Sensing With Approximate Message Passing Using In-Memory Computing

Le Gallo, M., Sebastian, A., Cherubini, G., Giefers, H., & Eleftheriou, E. (2018) · IEEE Transactions on Electron Devices

Sparse and Compressive Sensing TechniquesAdvanced Memory and Neural Computing

Cited by 99

Reducing Quantity Hallucinations in Abstractive Summarization

Zhao, Z., Cohen, S. B., & Webber, B. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Topic ModelingAdvanced Text Analysis Techniques

Cited by 99

Explainability and causability in digital pathology

Plass, M., Kargl, M., Kiehl, T., Regitnig, P., Geißler, C., Evans, T., Zerbe, N., Carvalho, R., Holzinger, A., & Müller, H. (2023) · The Journal of Pathology Clinical Research

Explainable Artificial Intelligence (XAI)AI in cancer detection

Cited by 99

Artificial intelligence enabled automated diagnosis and grading of ulcerative colitis endoscopy images

Sutton, R. T., Zai͏̈ane, O. R., Goebel, R., & Baumgart, D. C. (2022) · Scientific Reports

AI in cancer detectionInflammatory Bowel Disease

Cited by 99

Loss-aware Weight Quantization of Deep Networks

Hou, L., & Kwok, J. T. (2018) · arXiv

Advanced Neural Network ApplicationsStochastic Gradient Optimization Techniques

Cited by 99

Remember What You Want to Forget: Algorithms for Machine Unlearning

Sekhari, A., Acharya, J., Kamath, G., & Suresh, A. T. (2021) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 99

Machine learning algorithms based on signals from a single wearable inertial sensor can detect surface- and age-related differences in walking

Hu, B., Dixon, P. C., Jacobs, J. V., Dennerlein, J. T., & Schiffman, J. M. (2018) · Journal of Biomechanics

Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Cited by 99

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

DeepSeek-AI, :, Bi, X., Chen, D., Chen, G., Chen, S., Dai, D., Deng, C., Ding, H., Dong, K., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 99

Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits

Deng, W. H., Nagireddy, M., Lee, M. S. A., Singh, J., Wu, Z. S., Holstein, K., & Zhu, H. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 99

Multidimensional pareto optimization of touchscreen keyboards for speed, familiarity and improved spell checking

Dunlop, M., & Levine, J. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 99