Check computer science papers: citations, claims and retractions

ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Bhat, S. F., Birkl, R., Wofk, D., Wonka, P., & Müller, M. (2023) · arXiv

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 242

Medical large language models are vulnerable to data-poisoning attacks

Alber, D. A., Yang, Z., Alyakin, A., Yang, E., Rai, S., Valliani, A. A., Zhang, J., Rosenbaum, G. R., Amend-Thomas, A. K., Kurland, D. B., et al. (2025) · Nature Medicine

Adversarial Robustness in Machine LearningMisinformation and Its Impacts

Cited by 242

Evaluating Machine Learning Models and Their Diagnostic Value

Varoquaux, G., & Colliot, O. (2023) · Neuromethods

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 242

Quantum critical dynamics in a 5,000-qubit programmable spin glass

King, A. D., Raymond, J., Lanting, T., Harris, R., Zucca, A., Altomare, F., Berkley, A. J., Boothby, K., Ejtemaee, S., Enderud, C., et al. (2023) · Nature

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 242

HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection

Ye, M., Xu, S., & Cao, T. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 242

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies

Geva, M., Khashabi, D., Segal, E., Khot, T., Roth, D., & Berant, J. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingMultimodal Machine Learning Applications

Cited by 242

Chat2VIS: Generating Data Visualizations via Natural Language Using ChatGPT, Codex and GPT-3 Large Language Models

Maddigan, P., & Susnjak, T. (2023) · IEEE Access

Data Visualization and AnalyticsTopic Modeling

Cited by 242

Health dialog systems for patients and consumers

Bickmore, T., & Giorgino, T. (2006) · Journal of Biomedical Informatics

Speech and dialogue systemsMobile Health and mHealth Applications

Cited by 242

AffectAura: an intelligent system for emotional memory

McDuff, D., Karlson, A., Kapoor, A., Roseway, A., & Czerwinski, M. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Emotion and Mood RecognitionInnovative Human-Technology Interaction

Cited by 242

A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models

Koelstra, S., Pantic, M., & Patras, I. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Face recognition and analysisFace and Expression Recognition

Cited by 242

Effectively Unbiased FID and Inception Score and Where to Find Them

Chong, M. J., & Forsyth, D. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 242

Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

Liu, B., Wang, L., & Liu, M. (2019) · IEEE Robotics and Automation Letters

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 242

Using Virtual Reality Exposure Therapy to Enhance Treatment of Anxiety Disorders: Identifying Areas of Clinical Adoption and Potential Obstacles

Boeldt, D., McMahon, E., McFaul, M., & Greenleaf, W. (2019) · Frontiers in Psychiatry

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

Cited by 242

Cognitive Computing: Architecture, Technologies and Intelligent Applications

Chen, M., Herrera, F., & Hwang, K. (2018) · IEEE Access

Cognitive Computing and NetworksInternet of Things and AI

Cited by 242

QuixBugs: a multi-lingual program repair benchmark set based on the quixey challenge

Lin, D., Koppel, J., Chen, A., & Solar-Lezama, A. (2017) · Proceedings Companion of the 2017 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 242

Towards Deep Conversational Recommendations

Li, R., Kahou, S., Schulz, H., Michalski, V., Charlin, L., & Pal, C. (2018) · arXiv

Recommender Systems and TechniquesSpeech and dialogue systems

Cited by 242

Quantum computing for healthcare: a review

Ur Rasool, R., Ahmad, H. F., Rafique, W., Qayyum, A., Qadir, J., & Anwar, Z. (2023) · Future Internet

Quantum Computing Algorithms and ArchitectureComputational Drug Discovery Methods

Cited by 242

Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks

Fare Garnot, V. S., & Landrieu, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 242

Conversations between self and self as Sigmund Freud—A virtual body ownership paradigm for self counselling

Osimo, S. A., Pizarro, R., Spanlang, B., & Slater, M. (2015) · Scientific Reports

Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI

Cited by 242

Almost-linear time decoding algorithm for topological codes

Delfosse, N., & Nickerson, N. H. (2021) · Quantum

Quantum Computing Algorithms and ArchitectureCoding theory and cryptography

Cited by 242

Lessons from building static analysis tools at Google

Sadowski, C., Aftandilian, E., Eagle, A., Miller-Cushon, L., & Jaspan, C. (2018) · Communications of the ACM

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 242

FUIQA: Fetal Ultrasound Image Quality Assessment with Deep Convolutional Networks

Wu, L., Cheng, J.-Z., Li, S., Lei, B., Wang, T., & Ni, D. (2017) · IEEE Transactions on Cybernetics

Image and Video Quality AssessmentMedical Image Segmentation Techniques

Cited by 242

 3: Accelerating attention mechanisms in neural networks with approximation

Ham, T. J., Jung, S. J., Kim, S., Oh, Y. H., Park, Y., Song, Y., Park, J.-H., Lee, S., Park, K., Lee, J. W., et al. (2020) · 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA)

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 242

Algorithmic bias in machine learning-based marketing models

Akter, S., Dwivedi, Y. K., Sajib, S., Biswas, K., Bandara, R. J., & Michael, K. (2022) · Journal of Business Research

Ethics and Social Impacts of AIAI in Service Interactions

Cited by 242