Check computer science papers: citations, claims and retractions

The Geometry of Concepts: Sparse Autoencoder Feature Structure

Li, Y., Michaud, E. J., Baek, D. D., Engels, J., Sun, X., & Tegmark, M. (2024) · arXiv

Topic ModelingFace and Expression Recognition

Cited by 14

Medical multimodal large language models: A systematic review

Hu, Y., Xu, C., Lin, B., Yang, W., & Tang, Y. Y. (2025) · Intelligent Oncology

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 14

E-BATCH: Energy-Efficient and High-Throughput RNN Batching

Silfa, F., Arnau, J. M., & González, A. (2022) · ACM Transactions on Architecture and Code Optimization

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 14

Knowledge acquisition with forgetting: an incremental and developmental setting

Martínez-Plumed, F., Ferri, C., Hernández-Orallo, J., & Ramírez-Quintana, M. J. (2015) · Adaptive Behavior

AI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge

Cited by 14

Instruction Position Matters in Sequence Generation with Large Language Models

Liu, Y., Zeng, X., Meng, F., & Zhou, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

Blockchain in Space Industry: Challenges and Solutions

Torky, M., Gaber, T., & Hassanien, A. E. (2020) · arXiv

Blockchain Technology Applications and SecuritySpace exploration and regulation

Cited by 14

a-DCF: an architecture agnostic metric with application to spoofing-robust speaker verification

Shim, H.-J., Jung, J.-W., Kinnunen, T., Evans, N., Bonastre, J.-F., & Lapidot, I. (2024) · The Speaker and Language Recognition Workshop (Odyssey 2024)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 14

A Discreet Wearable Long-Range Emergency System Based on Embedded Machine Learning

Orfanidis, C., Hassen, R. B. H., Kwiek, A., Fafoutis, X., & Jacobsson, M. (2021) · 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)

Context-Aware Activity Recognition SystemsWireless Body Area Networks

Cited by 14

Federated Matrix Factorization Recommendation Based on Secret Sharing for Privacy Preserving

Zheng, X., Guan, M., Jia, X., Sun, L., & Luo, Y. (2024) · IEEE Transactions on Computational Social Systems

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 14

Formalizing and Benchmarking Prompt Injection Attacks and Defenses

Liu, Y., Jia, Y., Geng, R., Jia, J., & Gong, N. Z. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 14

SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection

Zhu, Y., Koppisetti, S., Tran, T., & Bharaj, G. (2024) · Advances in Neural Information Processing Systems 37

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 14

InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

Xiao, C., Zhang, P., Han, X., Xiao, G., Lin, Y., Zhang, Z., Liu, Z., & Sun, M. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 14

Grounding as a Collaborative Process

Benotti, L., & Blackburn, P. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

Speech and dialogue systemsLanguage, Discourse, Communication Strategies

Cited by 14

Layout-aware Subfigure Decomposition for Complex Figures in the Biomedical Literature

Shi, X., Wu, Y., Cao, H., Burns, G., & Natarajan, P. (2019) · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Handwritten Text Recognition TechniquesAdvanced Neural Network Applications

Cited by 14

As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging

Eaton-Rosen, Z., Varsavsky, T., Ourselin, S., & Cardoso, M. J. (2019) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesCell Image Analysis Techniques

Cited by 14

Supervised Machine Learning Algorithms to Detect Instagram Fake Accounts

Ekosputra, M. J., Susanto, A., Haryanto, F., & Suhartono, D. (2021) · 2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 14

Local vs. Distributed Coding

Thorpe, S. (1989) · Intellectica. Revue de l'Association pour la Recherche Cognitive

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 14

A Survey about Post Quantum Cryptography Methods

J, J. R., R, B. L., Nithila, E. E., C, S. S., & A, R. (2024) · EAI Endorsed Transactions on Internet of Things

Cryptography and Data SecurityCryptography and Residue Arithmetic

Cited by 14

Workload Classification Model for Specializing Virtual Machine Operating System

Zhao, X., Yin, J., Chen, Z., & He, S. (2013) · 2013 IEEE Sixth International Conference on Cloud Computing

Cloud Computing and Resource ManagementParallel Computing and Optimization Techniques

Cited by 14

Cosmology of artificial intelligence project: libraries, makerspaces, community and AI literacy

Watkins, T. (2020) · AI Matters

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 14

Tell me why! Explanations support learning relational and causal structure

Lampinen, A. K., Roy, N. A., Dasgupta, I., Chan, S. C. Y., Tam, A. C., McClelland, J. L., Yan, C., Santoro, A., Rabinowitz, N. C., Wang, J. X., et al. (2021) · arXiv

Reinforcement Learning in RoboticsExplainable Artificial Intelligence (XAI)

Cited by 14

An Empirical Examination of Bitcoin’s Halving Effects: Assessing Cryptocurrency Sustainability within the Landscape of Financial Technologies

Fabus, J., Kremenova, I., Stalmasekova, N., & Kvasnicova-Galovicova, T. (2024) · Journal of Risk and Financial Management

Blockchain Technology Applications and SecurityFinancial Markets and Investment Strategies

Cited by 14

Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs

Brown, N. B. (2024) · arXiv

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 14

Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines

Tu, D., He, Y., Cui, W., Ge, S., Zhang, H., Han, S., Zhang, D., & Chaudhuri, S. (2023) · Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Data Quality and ManagementAdvanced Database Systems and Queries

Cited by 14