Check computer science papers: citations, claims and retractions

A Two-Layer Network Intrusion Detection Method Incorporating LSTM and Stacking Ensemble Learning

Wang, J., Ge, C., Li, Y., Zhao, H., Fu, Q., Cao, K., & Jung, H. (2025) · Computers, Materials & Continua

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 8

Feature vector extraction and optimisation for multimodal biometrics employing face, ear and gait utilising artificial neural networks

Mehraj, H., & Mir, A. H. (2020) · International Journal of Cloud Computing

Biometric Identification and SecurityGait Recognition and Analysis

Cited by 8

Towards improving touchscreen input speed and accuracy on smartphones for tremor affected persons

Plaumann, K., Babic, M., Drey, T., Hepting, W., Stooß, D., & Rukzio, E. (2016) · Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Interactive and Immersive DisplaysTactile and Sensory Interactions

Cited by 8

MoCoDA: Model-based Counterfactual Data Augmentation

Pitis, S., Creager, E., Mandlekar, A., & Garg, A. (2022) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 8

Exploring viewing behavior data from whole slide images to predict correctness of students’ answers during practical exams in oral pathology

Walkowski, S., Lundin, M., Szymas, J., & Lundin, J. (2015) · Journal of Pathology Informatics

Online Learning and AnalyticsInnovations in Medical Education

Cited by 8

Evolution of DevSecOps and Its Influence on Application Security: A Systematic Literature Review

Mohammed, K., Shanmugam, B., & El-Den, J. (2025) · Technologies

Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities

Cited by 8

Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation

Järvenpää, M., Vehtari, A., & Marttinen, P. (2019) · arXiv

Gaussian Processes and Bayesian InferenceMarkov Chains and Monte Carlo Methods

Cited by 8

Time To Impeach LLM-as-a-Judge: Programs are the Future of Evaluation

Huang, T.-H., Vishwakarma, H., & Sala, F. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

Debate-Driven Multi-Agent LLMs for Phishing Email Detection

Vy Nguyen, N. T., Childress, F. D., & Yin, Y. (2025) · 2025 13th International Symposium on Digital Forensics and Security (ISDFS)

Spam and Phishing DetectionAdversarial Robustness in Machine Learning

Cited by 8

CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models

Manakul, P., Fathullah, Y., Liusie, A., Raina, V., Raina, V., & Gales, M. (2023) · The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 8

Raw QPP-RNG randomness via system jitter across platforms: a NIST SP 800-90B evaluation

Vrana, G., Lou, D., & Kuang, R. (2025) · Scientific Reports

Cryptographic Implementations and SecuritySecurity and Verification in Computing

Cited by 8

Diversify Question Generation with Retrieval-Augmented Style Transfer

Gou, Q., Xia, Z., Yu, B., Yu, H., Huang, F., Li, Y., & Cam-Tu, N. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning

Jiang, J., Shen, J., Kim, S., Yoo, K. M., Kim, J., & Kim, S. (2026) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 8

Machine Learning-Based Models for Prediction of Critical Illness at Community, Paramedic, and Hospital Stages

Lee, S., Park, H. J., Hwang, J., Lee, S. W., Han, K. S., Kim, W. Y., Jeong, J., Kang, H., Kim, A., Lee, C., et al. (2023) · Emergency Medicine International

Machine Learning in HealthcareEmergency and Acute Care Studies

Cited by 8

Extensive Study of Cloud Computing Technologies, Threats and Solutions Prospective

Abu-Alhaija, M., M. Turab, N., & Hamza, A. (2022) · Computer Systems Science and Engineering

Cloud Data Security SolutionsSecurity and Verification in Computing

Cited by 8

Widget based automated rigging of bipedal character with custom manipulators

Bhatti, Z., & Shah, A. (2012) · Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry

Human Motion and AnimationComputer Graphics and Visualization Techniques

Cited by 8

Immersive Learning and Participatory Engagement: Connecting in the Online Classroom Through Virtual Reality

Cavanaugh, G., Condry, H. M., Afable, C. F., Morris, M., De, S., Madison, H. E., Marshall, J., Victor, C. P., & Weiner, M. (2023) · International Journal of Distance Education Technologies

Virtual Reality Applications and ImpactsOnline and Blended Learning

Cited by 8

Unsupervised Learning Algorithms for Denial of Service Detection in Vehicular Networks

El Attar, A., Fadlallah, A., Chbib, F., & Khatoun, R. (2022) · 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

Network Security and Intrusion DetectionVehicular Ad Hoc Networks (VANETs)

Cited by 8

MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs

Alyafeai, Z., Al-shaibani, M. S., & Ghanem, B. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Topic ModelingAdvanced Text Analysis Techniques

Cited by 8

tl;dr: Chill, y’all: AI Will Not Devour SE

Kang, E., & Shaw, M. (2024) · Proceedings of the 2024 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 8

A New Generative Model for Textual Descriptions of Medical Images Using Transformers Enhanced with Convolutional Neural Networks

Barreto, A. G., de Oliveira, J. M., Gois, F. N. B., Cortez, P. C., & de Albuquerque, V. H. C. (2023) · Bioengineering

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 8

Underwater Tracking Based on the Sum-Product Algorithm Enhanced by a Neural Network Detections Classifier

Soldi, G., Gaglione, D., De Magistris, G., Braca, P., Stinco, P., Ferri, G., Tesei, A., & Le Page, K. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Target Tracking and Data Fusion in Sensor NetworksUnderwater Vehicles and Communication Systems

Cited by 8

RET-LLM: Towards a General Read-Write Memory for Large Language Models

Modarressi, A., Imani, A., Fayyaz, M., & Schütze, H. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 8

WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic

Ni, R., Chu, H.-M., Castañeda, O., Chiang, P.-Y., Studer, C., & Goldstein, T. (2020) · arXiv

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 8