Deep learning for blood glucose level prediction: How well do models generalize across different data sets? von Ghimire, Sarala, Celik, Turgay, Gerdes, Martin, Omlin, Christian W

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SleepXAI: An explainable deep learning approach for multi-class sleep stage identification von Dutt, Micheal, Redhu, Surender, Goodwin, Morten, Omlin, Christian W.

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Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities von Saeed, Waddah, Omlin, Christian

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CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection von Sharif, Md Haidar, Jiao, Lei, Omlin, Christian W

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An Interpretable Deep Learning-Based Feature Reduction in Video-Based Human Activity Recognition von Dutt, Micheal, Goodwin, Morten, Omlin, Christian W.

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Reinforcement Learning Your Way: Agent Characterization through Policy Regularization von Maree, Charl, Omlin, Christian

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Can Interpretable Reinforcement Learning Manage Prosperity Your Way? von Maree, Charl, Omlin, Christian W.

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An Interpretable Modular Deep Learning Framework for Video-Based Fall Detection von Dutt, Micheal, Gupta, Aditya, Goodwin, Morten, Omlin, Christian W

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Reinforcement learning with intrinsic affinity for personalized prosperity management von Maree, Charl, Omlin, Christian W.

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Deep Crowd Anomaly Detection by Fusing Reconstruction and Prediction Networks von Sharif, Md. Haidar, Jiao, Lei, Omlin, Christian W.

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Encoding subcomponents in cooperative co-evolutionary recurrent neural networks von Chandra, Rohitash, Frean, Marcus, Zhang, Mengjie, Omlin, Christian W.

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Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter von Asres, Mulugeta Weldezgina, Omlin, Christian Walter, Wang, Long, Yu, David, Parygin, Pavel, Dittmann, Jay, Karapostoli, Georgia, Seidel, Markus, Venditti, Rosamaria, Lambrecht, Luka, Usai, Emanuele, Ahmad, Muhammad, Menendez, Javier Fernandez, Maeshima, Kaori, The Cms-Hcal Collaboration

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Controller Performance Monitoring: A Survey of Problems and a Review of Approaches from a Data-Driven Perspective with a Focus on Oscillations Detection and Diagnosis von Bounoua, Wahiba, Aftab, Muhammad Faisal, Omlin, Christian Walter Peter

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Online detrended fluctuation analysis and improved empirical wavelet transform for real-time oscillations detection in industrial control loops von Bounoua, Wahiba, Aftab, Muhammad Faisal, Omlin, Christian Walter Peter

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CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection von Sharif, Md Haidar, Lei, Jiao, Omlin, Christian Walter Peter

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Data driven approach for the management of wind and solar energy integrated electrical distribution network with high penetration of electric vehicles von Mathew, Manuel S., Kolhe, Mohan Lal, Kandukuri, Surya Teja, Omlin, Christian W.

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Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation von Maree, Charl, Omlin, Christian Walter Peter

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Strategic Alignment in Cybersecurity Information Sharing: A Multidimensional Approach to Company Similarity Analysis von Omlin, Christian

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Extracting salient features for network intrusion detection using machine learning methods von Staudemeyer, Ralf C., Omlin, Christian W.

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Extraction of rules from discrete-time recurrent neural networks von Omlin, Christian W., Giles, C.Lee

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