Check computer science papers: citations, claims and retractions

Using Frankencerts for Automated Adversarial Testing of Certificate Validation in SSL/TLS Implementations

Brubaker, C., Jana, S., Ray, B., Khurshid, S., & Shmatikov, V. (2014) · 2014 IEEE Symposium on Security and Privacy

Web Application Security VulnerabilitiesSoftware Testing and Debugging Techniques

Cited by 218

Multi-atlas segmentation with joint label fusion and corrective learning—an open source implementation

Wang, H., & Yushkevich, P. A. (2013) · Frontiers in Neuroinformatics

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 218

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

Zhou, Z., Qu, A., Wu, Z., Kim, S., Prakash, A., Rus, D., Zhao, J., Low, B. K. H., & Liang, P. P. (2025) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 218

A Fast Total Variation Minimization Method for Image Restoration

Huang, Y., Ng, M. K., & Wen, Y.-W. (2008) · Multiscale Modeling & Simulation

Image and Signal Denoising MethodsAdvanced Image Processing Techniques

Cited by 218

Counterfactuals

Ginsberg, M. L. (1986) · Artificial Intelligence

Logic, Reasoning, and KnowledgeAI-based Problem Solving and Planning

Cited by 218

ProjE: Embedding Projection for Knowledge Graph Completion

Shi, B., & Weninger, T. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksTopic Modeling

Cited by 218

On the Measure of Intelligence

Chollet, F. (2019) · arXiv

Psychiatry, Mental Health, NeuroscienceCognitive Abilities and Testing

Cited by 218

Automated Media

Andrejevic, M. (2019) · Routledge eBooks

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 217

Deep Learning to Classify Radiology Free-Text Reports

Chen, M. C., Ball, R. L., Yang, L., Moradzadeh, N., Chapman, B. E., Larson, D. B., Langlotz, C. P., Amrhein, T. J., & Lungren, M. P. (2018) · Radiology

Machine Learning in HealthcareRadiomics and Machine Learning in Medical Imaging

Cited by 217

Flexible multitask computation in recurrent networks utilizes shared dynamical motifs

Driscoll, L., Shenoy, K., & Sussillo, D. (2022) · Nature Neuroscience

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 217

Emotional AI, soft biometrics and the surveillance of emotional life: An unusual consensus on privacy

McStay, A. (2020) · Big Data & Society

Ethics and Social Impacts of AIPrivacy, Security, and Data Protection

Cited by 217

A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition

Janidarmian, M., Roshan Fekr, A., Radecka, K., & Zilic, Z. (2017) · Sensors

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 217

CogVLM: Visual Expert for Pretrained Language Models

Wang, W., Lv, Q., Yu, W., Hong, W., Qi, J., Wang, Y., Ji, J., Yang, Z., Zhao, L., Song, X., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 217

Ambulatory monitoring of physical activities in patients with Parkinson’s disease

Salarian, A., Russmann, H., Vingerhoets, F. J. G., Burkhard, P. R., & Aminian, K. (2007) · IEEE Transactions on Biomedical Engineering

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

Cited by 217

MIStore: a Blockchain-Based Medical Insurance Storage System

Zhou, L., Wang, L., & Sun, Y. (2018) · Journal of Medical Systems

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 217

Optimization and Performance Modeling of Stencil Computations on Modern Microprocessors

Datta, K., Kamil, S., Williams, S., Oliker, L., Shalf, J., & Yelick, K. (2009) · SIAM Review

Parallel Computing and Optimization TechniquesMatrix Theory and Algorithms

Cited by 217

Gauge color codes: optimal transversal gates and gauge fixing in topological stabilizer codes

Bombín, H. (2015) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 217

Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits

Bogomolov, A., Lepri, B., Ferron, M., Pianesi, F., & Pentland, A. (. (2014) · Proceedings of the 22nd ACM international conference on Multimedia

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 217

A survey of image quality measures

Thung, K.-H., & Raveendran, P. (2009) · 2009 International Conference for Technical Postgraduates (TECHPOS)

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 217

A Taxonomy of Attacks on Federated Learning

Jere, M. S., Farnan, T., & Koushanfar, F. (2021) · IEEE Security & Privacy

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 217

Blockchain for Edge of Things: Applications, Opportunities, and Challenges

Gadekallu, T. R., Pham, Q.-V., Nguyen, D. C., Maddikunta, P. K. R., Deepa, N., Prabadevi, B., Pathirana, P. N., Zhao, J., & Hwang, W.-J. (2022) · IEEE Internet of Things Journal

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 217

Structuring Content in the Façade Interactive Drama Architecture

Mateas, M., & Stern, A. (2005) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 217

Hyperparameter optimization with approximate gradient

Pedregosa, F. (2016) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 217

Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer

Ogier du Terrail, J., Leopold, A., Joly, C., Béguier, C., Andreux, M., Maussion, C., Schmauch, B., Tramel, E. W., Bendjebbar, E., Zaslavskiy, M., et al. (2023) · Nature Medicine

AI in cancer detectionBreast Cancer Treatment Studies

Cited by 217