Check computer science papers: citations, claims and retractions

HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis

Tripto, N. I., Uchendu, A., Le, T., Setzu, M., Giannotti, F., & Lee, D. (2023) · arXiv

Authorship Attribution and ProfilingSpeech Recognition and Synthesis

Cited by 6

Engineering the Neural Automatic Passenger Counter

Jahn, N., & Siebert, M. (2022) · Engineering Applications of Artificial Intelligence

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 6

Advanced Algorithmic Approaches for Scam Profile Detection on Instagram

Bokolo, B. G., & Liu, Q. (2024) · Electronics

Spam and Phishing DetectionHate Speech and Cyberbullying Detection

Cited by 6

MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning

Yin, S., You, W., Ji, Z., Zhong, G., & Bai, J. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMathematics, Computing, and Information Processing

Cited by 6

JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Wang, Z., Cai, S., Liu, A., Jin, Y., Hou, J., Zhang, B., Lin, H., He, Z., Zheng, Z., Yang, Y., et al. (2023) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 6

U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack

Gao, Y., Xiong, Y., Wu, W., Huang, Z., Li, B., & Wang, H. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 6

Assessing large language models for acute heart failure classification and information extraction from French clinical notes

Bazoge, A., Wargny, M., Constant dit Beaufils, P., Morin, E., Daille, B., Gourraud, P.-A., & Hadjadj, S. (2025) · Computers in Biology and Medicine

Machine Learning in HealthcareTopic Modeling

Cited by 6

User Behavior Simulation with Large Language Model based Agents

Wang, L., Zhang, J., Yang, H., Chen, Z., Tang, J., Zhang, Z., Chen, X., Lin, Y., Song, R., Zhao, W. X., et al. (2023) · arXiv

Recommender Systems and TechniquesMulti-Agent Systems and Negotiation

Cited by 6

CascadMLIDS: A Cascaded Machine Learning Framework for Intrusion Detection System in VANET

Dhar, A. C., Roy, A., Akhand, M. A. H., & Kamal, M. A. S. (2023) · Electronics

Network Security and Intrusion DetectionVehicular Ad Hoc Networks (VANETs)

Cited by 6

H∞ Design of Periodically Nonuniform Interpolation and Decimation for Non-Band-Limited Signals

Nagahara, M., Ogura, M., & Yamamoto, Y. (2011) · SICE Journal of Control, Measurement, and System Integration

Digital Filter Design and ImplementationMathematical Analysis and Transform Methods

Cited by 6

Local Factor Models for Large-Scale Inductive Recommendation

Yang, L., Schnabel, T., Bennett, P. N., & Dumais, S. (2021) · Fifteenth ACM Conference on Recommender Systems

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 6

Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity

Guan, L., Sreedharan, S., & Kambhampati, S. (2022) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 6

Towards Secure Legacy Manufacturing: A Policy-Driven Zero Trust Architecture Aligned with NIST CSF 2.0

Min, C.-H., Kim, D.-H., Yang, H., & Kwak, J. (2025) · Electronics

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 6

Sphere transgressions in the Dutch digital welfare state: causing harm to citizens when legal rules, ethical norms and quality procedures are lacking

Oldenhof, L., Kersing, M., & van Zoonen, L. (2024) · Information, Communication & Society

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 6

Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations

Fan, L., Zhou, J., Xing, X., & Wu, Y. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 6

MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Lu, J., An, S., Lin, M., Pergola, G., He, Y., Yin, D., Sun, X., & Wu, Y. (2023) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 6

The death of the AI author

Craig, C., & Kerr, I. (2025) · Robot Law: Volume II

Law, AI, and Intellectual PropertyLiterary and Philosophical Studies

Cited by 6

Self-Admitted GenAI Usage in Open-Source Software

Xiao, T., Fan, Y., Calefato, F., Treude, C., Kula, R. G., Hata, H., & Baltes, S. (2025) · arXiv

Software Engineering ResearchOpen Source Software Innovations

Cited by 6

Few-shot class-incremental learning based on representation enhancement

Yao, G., Zhu, J., Zhou, W., & Li, J. (2022) · Journal of Electronic Imaging

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 6

Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis

Zheng, J., Zhang, S., Wang, X., & Zeng, Z. (2022) · arXiv

Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications

Cited by 6

Hyperspectral anomaly detection with vision transformer and adversarial refinement

Xu, Y., Zhao, K., Zhang, L., Zhu, M., & Zeng, D. (2023) · International Journal of Remote Sensing

Remote-Sensing Image ClassificationInfrared Target Detection Methodologies

Cited by 6

Towards multi-criteria heuristic optimization for computational offloading in multi-access edge computing

Singh, R., Armour, S., Khan, A., Sooriyabandara, M., & Oikonomou, G. (2021) · 2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 6

Robust 3D Skeletal Joint Fall Detection in Occluded and Rotated Views Using Data Augmentation and Inference–Time Aggregation

Zobi, M., Bolzani, L., Tabii, Y., & Oulad Haj Thami, R. (2025) · Sensors

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 6

VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought

Sarch, G., Jang, L., Tarr, M. J., Cohen, W. W., Marino, K., & Fragkiadaki, K. (2024) · arXiv

Multimodal Machine Learning ApplicationsAI-based Problem Solving and Planning

Cited by 6