Papers matching “deep learning classification” 196
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GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection2025 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) conference-paper Computer Science Network Security and Intrusion Detection Open access
Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Qi Hu, Yan Li, Chang Liu
4citations -
Anomaly Detection in Intensive Care Unit Data: A Comparative Analysis2026 International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Simon Fonck, Lavinia Goldermann, Sebastian Johannes Fritsch, Lena Olivier, André Stollenwerk
0citations -
Linking microstructure informatics with characterization knowledge in additively manufactured composites through customized and hybrid vision-language representations for automated qualification2025 Advanced Engineering Informatics article Computer Science Multimodal Machine Learning Applications Open access
Mutahar Safdar, Gentry Wood, Max Zimmermann, Guy Lamouche, Priti Wanjara, Yaoyao Fiona Zhao
1citations -
Autoencoders for Signal Enhancement in Communication Systems2024 International Conference on Military Communication and Information Systems (ICMCIS) conference-paper Computer Science Wireless Signal Modulation Classification
Vitor Duque, Jan Lewandowsky, Marc Adrat, Till Hardenbicker, Peter Jax
1citations -
Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography2024 Computer Methods and Programs in Biomedicine article Computer Science Explainable Artificial Intelligence (XAI) Open access
Alexander Brenner, Felix Knispel, Florian P. Fischer, Peter Rossmanith, Yvonne G. Weber, Henner Koch, +3 more
13citations -
Work-in-Progress: A Review of the Type, Breadth, and Limitations of Publicly Available Educational Technology Products in 20222024 ASEE Annual Conference & Exposition conference-paper Computer Science Educational Technology and E-Learning
Robert M. Nickel, Sarah Appelhans, R.L. Thomas, Stu Thompson, Stewart J. Thomas, Abdelghany Abouelnagga, +1 more
2citations -
Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, +5 more
7citations