Check computer science papers: citations, claims and retractions

Current and future RL’s contribution to emerging network security

Feltus, C. (2020) · Procedia Computer Science

Network Security and Intrusion DetectionAdvanced Malware Detection Techniques

Cited by 6

Realistic Performance Assessment of Machine Learning Algorithms for 6G Network Slicing: A Dual-Methodology Approach with Explainable AI Integration

Karahan, S. N., Güllü, M., Karhan, D., Çimen, S., Osmanca, M. S., & Barışçı, N. (2025) · Electronics

Software-Defined Networks and 5GInternet Traffic Analysis and Secure E-voting

Cited by 6

LSA: Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation

Yang, H., & Li, K. (2021) · arXiv

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 6

An Image Captioning Model Based on Bidirectional Depth Residuals and its Application

Zhou, Z., Xu, L., Wang, C., Xie, W., Wang, S., Ge, S., & Zhang, Y. (2021) · IEEE Access

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 6

Accurate estimation of joint motion trajectories for rehabilitation using Kinect

Sinha, S., Bhowmick, B., Sinha, A., & Das, A. (2017) · 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 6

Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning

Zhao, Y., Xi, W., Fu, X., & Zhao, J. (2025) · Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 6

Research Trends for the Interplay between Large Language Models and Knowledge Graphs

Khorashadizadeh, H., Amara, F. Z., Ezzabady, M., Ieng, F., Tiwari, S., Mihindukulasooriya, N., Groppe, J., Sahri, S., Benamara, F., & Groppe, S. (2024) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 6

Comparing Two Model Designs for Clinical Note Generation; Is an LLM a Useful Evaluator of Consistency?

Brake, N., & Schaaf, T. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 6

L’IA du Quotidien peut elle être Éthique ?

Besse, P., Castets-Renard, C., & Garivier, A. (2018) · Statistique et société

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 6

Compact Time-Domain Representation for Logical Access Spoofed Audio

Karo, M., Yeredor, A., & Lapidot, I. (2024) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 6

Missed Connections: Lateral Thinking Puzzles for Large Language Models

Todd, G., Merino, T., Earle, S., & Togelius, J. (2024) · 2024 IEEE Conference on Games (CoG)

Topic ModelingNatural Language Processing Techniques

Cited by 6

Modeling Linear Inequality Constraints in Quadratic Binary Optimization for Variational Quantum Eigensolver

Quinones, M. P., & Junqueira, C. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 6

Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning

Cook, J., Lu, C., Hughes, E., Leibo, J. Z., & Foerster, J. (2024) · arXiv

Reinforcement Learning in RoboticsEvolutionary Algorithms and Applications

Cited by 6

Multimodal Retrieval-Augmented Generation: Unified Information Processing Across Text, Image, Table, and Video Modalities

Drushchak, N., Polyakovska, N., Bautina, M., Semenchenko, T., Koscielecki, J., Sykala, W., & Wegrzynowski, M. (2025) · Proceedings of the 1st Workshop on Multimodal Augmented Generation via Multimodal Retrieval (MAGMaR 2025)

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 6

Agent-SafetyBench: Evaluating the Safety of LLM Agents

Zhang, Z., Cui, S., Lu, Y., Zhou, J., Yang, J., Wang, H., & Huang, M. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 6

Uncertainty Estimation for Language Reward Models

Gleave, A., & Irving, G. (2022) · arXiv

Machine Learning and AlgorithmsTopic Modeling

Cited by 6

IRASim: A Fine-Grained World Model for Robot Manipulation

Zhu, F., Wu, H., Guo, S., Liu, Y., Cheang, C., & Kong, T. (2024) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 6

Balance, Multiple Augmentation, and Re-synthesis: A Triad Training Strategy for Enhanced Audio Deepfake Detection

Doan, T.-P., Nguyen-Vu, L., Hong, K., & Jung, S. (2024) · Interspeech 2024

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 6

FLAME: Factuality-Aware Alignment for Large Language Models

Lin, S.-C., Gao, L., Oguz, B., Xiong, W., Lin, J., Yih, W.-T., & Chen, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning

Huang, J., Xu, Z., Zhou, J., Liu, T., Xiao, Y., Ou, M., Ji, B., Li, X., & Yuan, K. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 6

Robust patella motion tracking using intensity-based 2D-3D registration on dynamic bi-plane fluoroscopy: towards quantitative assessment in MPFL reconstruction surgery

Otake, Y., Esnault, M., Grupp, R., Kosugi, S., & Sato, Y. (2016) · SPIE Proceedings

Medical Image Segmentation TechniquesRadiation Dose and Imaging

Cited by 6

Bridging AI and Ecology: CILNN and XAI for Acoustic Based Prediction of Dangerous Wild Animals

Govindaprabhu, G. B., Sumathi, M., Neyvasagam, S., & Kumar J, N. A. (2025) · International Research Journal of Multidisciplinary Scope

Music and Audio ProcessingAnimal Vocal Communication and Behavior

Cited by 6

The role of firm AI capabilities in generative AI-pair coding

Bughin, J. (2024) · Journal of Decision Systems

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 6

Automated port traffic statistics: From raw data to visualisation

Cazzanti, L., Davoli, A., & Millefiori, L. M. (2016) · 2016 IEEE International Conference on Big Data (Big Data)

Data Visualization and AnalyticsMaritime Navigation and Safety

Cited by 6