Check computer science papers: citations, claims and retractions

A Survey of Generative Adversarial Networks for Synthesizing Structured Electronic Health Records

Ghosheh, G. O., Li, J., & Zhu, T. (2024) · ACM Computing Surveys

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 95

VLMEvalKit: An Open-Source ToolKit for Evaluating Large Multi-Modality Models

Duan, H., Yang, J., Qiao, Y., Fang, X., Chen, L., Liu, Y., Dong, X., Zang, Y., Zhang, P., Wang, J., et al. (2024) · Proceedings of the 32nd ACM International Conference on Multimedia

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 95

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

Suinesiaputra, A., Dhooge, J., Duchateau, N., Ehrhardt, J., Frangi, A. F., Gooya, A., Grau, V., Lekadir, K., Lu, A., Mukhopadhyay, A., et al. (2018) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics

Cited by 95

Width & Depth Pruning for Vision Transformers

Yu, F., Huang, K., Wang, M., Cheng, Y., Chu, W., & Cui, L. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 95

Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network

Cheng, L., Guo, R., Silva, Y., Hall, D., & Liu, H. (2019) · Proceedings of the 2019 SIAM International Conference on Data Mining

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 95

Progress toward openness, transparency, and reproducibility in cognitive neuroscience

Gilmore, R. O., Diaz, M. T., Wyble, B. A., & Yarkoni, T. (2017) · Annals of the New York Academy of Sciences

Research Data Management PracticesScientific Computing and Data Management

Cited by 95

A Billion-scale Foundation Model for Remote Sensing Images

Cha, K., Seo, J., & Lee, T. (2023) · arXiv

Advanced Neural Network ApplicationsRemote-Sensing Image Classification

Cited by 95

Gamification of Mobile Experience Sampling Improves Data Quality and Quantity

van Berkel, N., Goncalves, J., Hosio, S., & Kostakos, V. (2017) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Mobile Crowdsensing and CrowdsourcingEducational Games and Gamification

Cited by 95

De-anonymizing Web Browsing Data with Social Networks

Su, J., Shukla, A., Goel, S., & Narayanan, A. (2017) · Proceedings of the 26th International Conference on World Wide Web

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 95

Task Offloading With Multi-Tier Computing Resources in Next Generation Wireless Networks

Wang, K., Jin, J., Yang, Y., Zhang, T., Nallanathan, A., Tellambura, C., & Jabbari, B. (2023) · IEEE Journal on Selected Areas in Communications

IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization

Cited by 95

Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks

Seyedhosseini, M., Sajjadi, M., & Tasdizen, T. (2013) · 2013 IEEE International Conference on Computer Vision

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 95

Ties-merging: Resolving interference when merging models

Yadav, P., Tam, D., Choshen, L., Raffel, C., & Bansal, M. (2023) · Advances in Neural Information Processing Systems 36

Model-Driven Software Engineering TechniquesFormal Methods in Verification

Cited by 95

Large language models as commonsense knowledge for large-scale task planning

Zhao, Z., Lee, W. S., & Hsu, D. (2023) · Advances in Neural Information Processing Systems 36

AI-based Problem Solving and PlanningTopic Modeling

Cited by 95

TSViz: Demystification of Deep Learning Models for Time-Series Analysis

Siddiqui, S. A., Mercier, D., Munir, M., Dengel, A., & Ahmed, S. (2019) · IEEE Access

Explainable Artificial Intelligence (XAI)Time Series Analysis and Forecasting

Cited by 95

Fast and Memory-Efficient Neural Code Completion

Svyatkovskiy, A., Lee, S., Hadjitofi, A., Riechert, M., Franco, J. V., & Allamanis, M. (2021) · 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR)

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 95

Fast Model Editing at Scale

Mitchell, E., Lin, C., Bosselut, A., Finn, C., & Manning, C. D. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 95

Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs

Millidge, B., Tschantz, A., & Buckley, C. L. (2022) · Neural Computation

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 95

Heuristic evaluation of paper-based Web pages: a simplified inspection usability methodology

Allen, M., Currie, L. M., Bakken, S., Patel, V. L., & Cimino, J. J. (2006) · Journal of Biomedical Informatics

Usability and User Interface DesignElectronic Health Records Systems

Cited by 95

Implicit Gradient Regularization

Barrett, D. G. T., & Dherin, B. (2020) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 95

Combining hough transform and contour algorithm for detecting vehicles' license-plates

Duan, T. D., Duc, D. A., & Tran, L. H. D. (2005) · Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004.

Vehicle License Plate RecognitionImage and Object Detection Techniques

Cited by 95

Toward Communication-Efficient Federated Learning in the Internet of Things With Edge Computing

Sun, H., Li, S., Yu, F. R., Qi, Q., Wang, J., & Liao, J. (2020) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 95

Episodic Memory in Lifelong Language Learning

d'Autume, C. D. M., Ruder, S., Kong, L., & Yogatama, D. (2019) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 95

Explainability in medicine in an era of AI-based clinical decision support systems

Pierce, R. L., Van Biesen, W., Van Cauwenberge, D., Decruyenaere, J., & Sterckx, S. (2022) · Frontiers in Genetics

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

Cited by 95

150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com

Bernardi, L., Mavridis, T., & Estevez, P. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Artificial Intelligence ApplicationsSoftware Engineering Techniques and Practices

Cited by 95