Check computer science papers: citations, claims and retractions

Self-Supervised 3D Keypoint Learning for Ego-motion Estimation

Tang, J., Ambrus, R., Guizilini, V., Pillai, S., Kim, H., Jensfelt, P., & Gaidon, A. (2019) · arXiv

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 14

Visualisation and 'Diagnostic Classifiers' Reveal How Recurrent and Recursive Neural Networks Process Hierarchical Structure

Hupkes, D., Veldhoen, S., & Zuidema, W. (2018) · Journal of Artificial Intelligence Research

Explainable Artificial Intelligence (XAI)Neural Networks and Applications

Cited by 14

Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems

Zhang, S., Pan, Z., Liu, H., Jin, P., Sun, Y., Ouyang, Q., Wang, J., Jia, X., Zhang, Y., Yang, H., et al. (2023) · 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 14

The Challenges of Risk Profiling Used by Law Enforcement: Examining the Cases of COMPAS and SyRI

van Schendel, S. (2019) · Information Technology and Law Series

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 14

Modified Gray-Level Haralick Texture Features for Early Detection of Diabetes Mellitus and High Cholesterol with Iris Image

Hapsari, R. K., Miswanto, M., Rulaningtyas, R., Suprajitno, H., & Seng, G. H. (2022) · International Journal of Biomedical Imaging

Image Retrieval and Classification TechniquesArtificial Intelligence in Healthcare

Cited by 14

Qwen2.5-Omni Technical Report

Xu, J., Guo, Z., He, J., Hu, H., He, T., Bai, S., Chen, K., Wang, J., Fan, Y., Dang, K., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 14

On a meaningful exploitation of machine and human reasoning to tackle data-intensive decision making

Karacapilidis, N., Tzagarakis, M., & Christodoulou, S. (2013) · Intelligent Decision Technologies

Cognitive Computing and NetworksBig Data Technologies and Applications

Cited by 14

MT-CMVAD: A Multi-Modal Transformer Framework for Cross-Modal Video Anomaly Detection

Ding, H., Lou, S., Ye, H., & Chen, Y. (2025) · Applied Sciences

Anomaly Detection Techniques and ApplicationsHuman Pose and Action Recognition

Cited by 14

An Empirical Study of the Use of Integrity Verification Mechanisms for Web Subresources

Chapuis, B., Omolola, O., Cherubini, M., Humbert, M., & Huguenin, K. (2020) · Proceedings of The Web Conference 2020

Web Application Security VulnerabilitiesMobile and Web Applications

Cited by 14

Leveraging Mixture of Experts for Improved Speech Deepfake Detection

Negroni, V., Salvi, D., Mezza, A. I., Bestagini, P., & Tubaro, S. (2025) · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 14

CompAct: Compressing Retrieved Documents Actively for Question Answering

Yoon, C., Lee, T., Hwang, H., Jeong, M., & Kang, J. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingInformation Retrieval and Search Behavior

Cited by 14

A fast bjorck-pereyra-type algorithm for solving hessenberg-quasiseparable-vandermonde systems

Bella, T., Eidelman, Y., Gohberg, I., Koltracht, I., & Olshevsky, V. (2009) · SIAM Journal on Matrix Analysis and Applications

Matrix Theory and AlgorithmsMathematical functions and polynomials

Cited by 14

Wi-Access: Second Factor User Authentication leveraging WiFi Signals

Shah, S. W., & Kanhere, S. S. (2018) · 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 14

How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings

Chang, S., & Fosler-Lussier, E. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

Dialogue Summarization with Mixture of Experts based on Large Language Models

Tian, Y., Xia, F., & Song, Y. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsTopic Modeling

Cited by 14

Unknown payload anomaly detection based on format and field semantics inference in cyber-physical infrastructure systems

Kim, H., Kim, S., Jo, W., Kim, K.-H., & Shon, T. (2021) · IEEE Access

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 14

Detecting LLM-generated peer reviews

Rao, V. S., Kumar, A., Lakkaraju, H., & Shah, N. B. (2025) · PLOS One

Advanced Steganography and Watermarking TechniquesAcademic integrity and plagiarism

Cited by 14

Decentralized autonomous imaging data processing using blockchain

Yang, L., Chen, G., Xu, R., Chen, S., & Chen, Y. (2019) · Multimodal Biomedical Imaging XIV

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 14

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

Liu, F., Tong, X., Yuan, M., Lin, X., Luo, F., Wang, Z., Lu, Z., & Zhang, Q. (2024) · arXiv

Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms Research

Cited by 14

Maker Education in Primary Education: Changes in Students’ Maker-Mindset and Gender Differences

Martínez Moreno, J., Santos, P., & Hernandez-Leo, D. (2021) · Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21)

Teaching and Learning ProgrammingGender and Technology in Education

Cited by 14

Software estimation: towards prescriptive analytics

Pospieszny, P. (2017) · Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 14

Large Language Models and Causal Inference in Collaboration: A Survey

Liu, X., Xu, P., Wu, J., Yuan, J., Yang, Y., Zhou, Y., Liu, F., Guan, T., Wang, H., Yu, T., et al. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 14

mRNA Secondary Structure Prediction Using Utility-Scale Quantum Computers

Alevras, D., Metkar, M., Yamamoto, T., Kumar, V., Friedhoff, T., Park, J.-E., Takeori, M., LaDue, M., Davis, W., & Galda, A. (2024) · 2024 IEEE International Conference on Quantum Computing and Engineering (QCE)

Quantum Computing Algorithms and ArchitectureRNA and protein synthesis mechanisms

Cited by 14

Distinguishing Fact from Fiction: A Benchmark Dataset for Identifying Machine-Generated Scientific Papers in the LLM Era.

Mosca, E., Abdalla, M. H. I., Basso, P., Musumeci, M., & Groh, G. (2023) · Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023)

Authorship Attribution and ProfilingAcademic integrity and plagiarism

Cited by 14