Check computer science papers: citations, claims and retractions

A comprehensive EHR timeseries pre-training benchmark

McDermott, M., Nestor, B., Kim, E., Zhang, W., Goldenberg, A., Szolovits, P., & Ghassemi, M. (2021) · Proceedings of the Conference on Health, Inference, and Learning

Machine Learning in HealthcareDomain Adaptation and Few-Shot Learning

Cited by 24

LLM Meets Bounded Model Checking: Neuro-symbolic Loop Invariant Inference

Wu, G., Cao, W., Yao, Y., Wei, H., Chen, T., & Ma, X. (2024) · Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering

Formal Methods in VerificationSoftware Testing and Debugging Techniques

Cited by 24

A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning

Radovan, A., Mršić, L., Đambić, G., & Mihaljević, B. (2024) · Eng

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 24

Using shallow and deep learning to automatically detect hate motivated by gender and sexual orientation on Twitter in Spanish

Arcila-Calderón, C., Amores, J. J., Sánchez-Holgado, P., & Blanco-Herrero, D. (2021) · Multimodal Technologies and Interaction

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 24

Personalized Human Activity Recognition: Real-Time On-Device Training and Inference

Saha, B., Samanta, R., Roy, R. B., Chakraborty, C., & Ghosh, S. K. (2025) · IEEE Consumer Electronics Magazine

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 24

Deep Learning-Based Cyber–Physical Feature Fusion for Anomaly Detection in Industrial Control Systems

Du, Y., Huang, Y., Wan, G., & He, P. (2022) · Mathematics

Anomaly Detection Techniques and ApplicationsFault Detection and Control Systems

Cited by 24

Brittlebench: Quantifying LLM robustness via prompt sensitivity

Romanou, A., Ibrahim, M., Ross, C., Oktar, K., Shaib, C., Bell, S. J., Ovalle, A., Bosselut, A., Dodge, J., Sinha, K., et al. (2026) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 24

SECURE: Benchmarking Large Language Models for Cybersecurity

Bhusal, D., Alam, M. T., Nguyen, L., Mahara, A., Lightcap, Z., Frazier, R., Fieblinger, R., Torales, G. L., Blakely, B. A., & Rastogi, N. (2024) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 24

StuffNet: Using ‘Stuff’ to Improve Object Detection

Brahmbhatt, S., Christensen, H. I., & Hays, J. (2017) · 2017 IEEE Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 24

Influence of External Information on Large Language Models Mirrors Social Cognitive Patterns

Bian, N., Lin, H., Liu, P., Lu, Y., Zhang, C., He, B., Han, X., & Sun, L. (2023) · arXiv

Ethics and Social Impacts of AIOpinion Dynamics and Social Influence

Cited by 24

Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics

Kreiss, E., Bennett, C., Hooshmand, S., Zelikman, E., Ringel Morris, M., & Potts, C. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Multimodal Machine Learning ApplicationsDigital Accessibility for Disabilities

Cited by 24

XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence

Zhu, M., Jain, A., Suresh, K., Ravindran, R., Tipirneni, S., & Reddy, C. K. (2022) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 24

Recherche improbable d'une homogène diversité : le débat sur l'identité nationale

Ratinaud, P., & Marchand, P. (2012) · Langages

Natural Language Processing TechniquesComputational and Text Analysis Methods

Cited by 24

Towards Better Graph Neural Network-Based Fault Localization through Enhanced Code Representation

Rafi, M. N., Kim, D. J., Chen, A. R., Chen, T.-H. (., & Wang, S. (2024) · Proceedings of the ACM on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 24

FP8 versus INT8 for efficient deep learning inference

van Baalen, M., Kuzmin, A., Nair, S. S., Ren, Y., Mahurin, E., Patel, C., Subramanian, S., Lee, S., Nagel, M., Soriaga, J., et al. (2023) · arXiv

Advanced Neural Network ApplicationsNumerical Methods and Algorithms

Cited by 24

MRI to X-ray mammography registration using a volume-preserving affine transformation

Mertzanidou, T., Hipwell, J., Cardoso, M. J., Zhang, X., Tanner, C., Ourselin, S., Bick, U., Huisman, H., Karssemeijer, N., & Hawkes, D. (2012) · Medical Image Analysis

Medical Image Segmentation TechniquesDigital Radiography and Breast Imaging

Cited by 24

WaistonBelt X: A Belt-Type Wearable Device with Sensing and Intervention Toward Health Behavior Change

Nakamura, Y., Matsuda, Y., Arakawa, Y., & Yasumoto, K. (2019) · Sensors

Context-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Cited by 24

Enhancing Fairness in Face Detection in Computer Vision Systems by Demographic Bias Mitigation

Yang, Y., Gupta, A., Feng, J., Singhal, P., Yadav, V., Wu, Y., Natarajan, P., Hedau, V., & Joo, J. (2022) · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society

Face recognition and analysisEthics and Social Impacts of AI

Cited by 24

CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression LSTM for Predictive Learning

Chai, Z., Xu, Z., Bail, Y., Lin, Z., & Yuan, C. (2022) · 2022 IEEE International Conference on Multimedia and Expo (ICME)

Generative Adversarial Networks and Image SynthesisTraffic Prediction and Management Techniques

Cited by 24

A Survey on Online Learning Preferences for Computer Science and Programming

Escobar-Avila, J., Venuti, D., Di Penta, M., & Haiduc, S. (2019) · 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

Teaching and Learning ProgrammingSoftware Engineering Techniques and Practices

Cited by 24

Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use

Kawakami, A., Coston, A., Heidari, H., Holstein, K., & Zhu, H. (2024) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 24

Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation

Jin, K., Wang, C.-Y., Pham, H. V., & Hemmati, H. (2024) · Proceedings of the 21st International Conference on Mining Software Repositories

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 24

Design of 1-D Stable Variable Fractional Delay IIR Filters

Zhao, H., & Kwan, H. K. (2007) · IEEE Transactions on Circuits and Systems II: Express Briefs

Digital Filter Design and ImplementationAdvanced Adaptive Filtering Techniques

Cited by 24

Efficient and Lightweight Framework for Real-Time Ore Image Segmentation Based on Deep Learning

Sun, G., Huang, D., Cheng, L., Jia, J., Xiong, C., & Zhang, Y. (2022) · Minerals

Advanced Neural Network ApplicationsMineral Processing and Grinding

Cited by 24