Christian W. Omlin

71 papers A 1B 5C 2Misc 1Journal 30Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes. CBMS Sarala Ghimire, Turgay Çelik, Martin Gerdes, Christian W. Omlin
2025	J	`jnl`	Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions. Artif. Intell. Rev. Md. Haidar Sharif, Lei Jiao, Christian W. Omlin
2025	—	`conf`	Physiology-Guided Blood Glucose Predictive Model Using Minimal Blood Glucose Dynamics. BIOSTEC (2): HEALTHINF Sarala Ghimire, Turgay Çelik, Martin Gerdes, Christian W. Omlin
2025	—	`conf`	Uncertainty in Deep Model Performance for Radiology: A Case Study of Classifying Maxillary Sinus Appearance. IJCCI (3) Fara Aninha Fernandes, Martin Gerdes, Georgi Chaltikyan, Christian W. Omlin
2024	J	`jnl`	An Interpretable Deep Learning-Based Feature Reduction in Video-Based Human Activity Recognition. IEEE Access Micheal Dutt, Morten Goodwin, Christian W. Omlin
2024	—	`conf`	Localized Affinity-Based Reinforcement Learning for Interpretable State-Specific Decision-Making. SGAI Conf. (1) Ajay Vishwanath, Christian W. Omlin
2024	J	`jnl`	Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy vs. Performance. CoRR Mulugeta Weldezgina Asres, Lei Jiao, Christian W. Omlin
2024	—	`conf`	Optimizing Autonomous Vehicle Racing Using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction. SGAI Conf. (2) Martin Holen, Jayant Singh, Christian W. Omlin, Jing Zhou, Kristian Muri Knausgård, Morten Goodwin
2023	J	`jnl`	CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection. Sensors Md. Haidar Sharif, Lei Jiao, Christian W. Omlin
2023	J	`jnl`	Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities. Knowl. Based Syst. Waddah Saeed, Christian W. Omlin
2023	J	`jnl`	SECAdvisor: a Tool for Cybersecurity Planning using Economic Models. CoRR Muriel Figueredo Franco, Christian W. Omlin, Oliver Kamer, Eder John Scheid, Burkhard Stiller
2023	B	`conf`	Scene Retrieval in Traffic Videos with Contrastive Multimodal Learning. ICTAI Touseef Sadiq, Christian W. Omlin
2023	J	`jnl`	SleepXAI: An explainable deep learning approach for multi-class sleep stage identification. Appl. Intell. Micheal Dutt, Surender Redhu, Morten Goodwin, Christian W. Omlin
2023	—	`conf`	Towards Data-Driven Material Removal Rate Estimation in Bonnet Polishing. ICCMA Michal Darowski, Muhammad Faisal Aftab, Hongyu Li, David Walker, Guoyu Yu, Chenghui An, Christian W. Omlin
2023	J	`jnl`	Towards artificial virtuous agents: games, dilemmas and machine learning. AI Ethics Ajay Vishwanath, Einar Duenger Bøhn, Ole-Christoffer Granmo, Charl Maree, Christian W. Omlin
2022	—	`conf`	Balancing Profit, Risk, and Sustainability for Portfolio Management. CIFEr Charl Maree, Christian W. Omlin
2022	J	`jnl`	Balancing Profit, Risk, and Sustainability for Portfolio Management. CoRR Charl Maree, Christian W. Omlin
2022	J	`jnl`	Can Interpretable Reinforcement Learning Manage Assets Your Way? CoRR Charl Maree, Christian W. Omlin
2022	J	`jnl`	Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions. CoRR Md. Haidar Sharif, Lei Jiao, Christian W. Omlin
2022	J	`jnl`	Reinforcement Learning Your Way: Agent Characterization through Policy Regularization. CoRR Charl Maree, Christian W. Omlin
2022	J	`jnl`	Reinforcement Learning with Intrinsic Affinity for Personalized Asset Management. CoRR Charl Maree, Christian W. Omlin
2022	C	`conf`	Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders. HealthCom Micheal Dutt, Surender Redhu, Morten Goodwin, Christian W. Omlin
2022	J	`jnl`	Symbolic Explanation of Affinity-Based Reinforcement Learning Agents with Markov Models. CoRR Charl Maree, Christian W. Omlin
2022	J	`jnl`	Towards Responsible AI for Financial Transactions. CoRR Charl Maree, Jan Erik Modal, Christian W. Omlin
2022	—	`conf`	Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation. CIFEr Charl Maree, Christian W. Omlin
2021	B	`conf`	Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. IJCNN Micheal Dutt, Morten Goodwin, Christian W. Omlin
2021	—	`conf`	Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality. SSCI Charl Maree, Christian W. Omlin
2021	J	`jnl`	Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality. CoRR Charl Maree, Christian W. Omlin
2021	J	`jnl`	Discovering Novel Customer Features with Recurrent Neural Networks for Personality Based Financial Services. CoRR Charl Maree, Christian W. Omlin
2021	J	`jnl`	Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities. CoRR Waddah Saeed, Christian W. Omlin
2020	Misc	`conf`	Road Detection for Reinforcement Learning Based Autonomous Car. ICISS Martin Holen, Rupsa Saha, Morten Goodwin, Christian W. Omlin, Knut Eivind Sandsmark
2020	—	`conf`	Towards Responsible AI for Financial Transactions. SSCI Charl Maree, Jan Erik Modal, Christian W. Omlin
2019	J	`jnl`	The Convolutional Tsetlin Machine. CoRR Ole-Christoffer Granmo, Sondre Glimsdal, Lei Jiao, Morten Goodwin, Christian W. Omlin, Geir Thore Berge
2016	B	`conf`	An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks. IJCNN Rohitash Chandra, Ratneel Deo, Christian W. Omlin
2014	J	`jnl`	Extracting salient features for network intrusion detection using machine learning methods. South Afr. Comput. J. Ralf C. Staudemeyer, Christian W. Omlin
2014	B	`conf`	Facial action unit intensity estimation using rotation invariant features and regression analysis. ICIP Deniz Bingol, Turgay Çelik, Christian W. Omlin, Hima B. Vadapalli
2013	—	`conf`	Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data. SAICSIT Ralf C. Staudemeyer, Christian W. Omlin
2011	J	`jnl`	Encoding subcomponents in cooperative co-evolutionary recurrent neural networks. Neurocomputing Rohitash Chandra, Marcus R. Frean, Mengjie Zhang, Christian W. Omlin
2009	—	`ch.`	Credit Card Transactions, Fraud Detection, and Machine Learning: Modelling Time with LSTM Recurrent Neural Networks. Innovations in Neural Information Paradigms and Applications Bénard Wiese, Christian W. Omlin
2009	—	`conf`	Facial Action Unit Recognition Using Recurrent Neural Networks. IPCV Hima Vadapalli, Henry O. Nyongesa, Christian W. Omlin
2008	—	`conf`	Hybrid Evolutionary One-Step Gradient Descent for Training Recurrent Neural Networks. GEM Rohitash Chandra, Christian W. Omlin
2007	—	`conf`	A Hybrid Recurrent Neural Networks Architecture Inspired by Hidden Markov Models: Training and Extraction of Deterministic Finite Automaton. Artificial Intelligence and Pattern Recognition Rohitash Chandra, Christian W. Omlin
2007	—	`conf`	Hybrid Recurrent Neural Networks: An Application to Phoneme Classification. GEM Rohitash Chandra, Christian W. Omlin
2007	—	`conf`	Knowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain. DMIN Rohitash Chandra, Christian W. Omlin
2007	—	`conf`	The Comparison and Combination of Genetic and Gradient Descent Learning in Recurrent Neural Networks: An Application to Speech Phoneme Classification. Artificial Intelligence and Pattern Recognition Rohitash Chandra, Christian W. Omlin
2006	—	`conf`	A Probabilistic Approach To Faults Prediction in Cellular Networks. ICN/ICONS/MCL Okuthe Paul Kogeda, Johnson I. Agbinya, Christian W. Omlin
2006	—	`conf`	Haar Features for FACS AU Recognition. FGR Jacob Whitehill, Christian W. Omlin
2006	—	`conf`	Local versus Global Segmentation for Facial Expression Recognition. FGR Jacob Whitehill, Christian W. Omlin
2006	—	`conf`	Training and extraction of fuzzy finite state automata in recurrent neural networks. Computational Intelligence Rohitash Chandra, Christian W. Omlin
2005	—	`conf`	Impacts and Cost of Faults on Services in Cellular Networks. ICMB Okuthe Paul Kogeda, Johnson I. Agbinya, Christian W. Omlin
2004	J	`jnl`	A Machine Learning Method for Extracting Symbolic Knowledge from Recurrent Neural Networks. Neural Comput. A. Vahed, Christian W. Omlin
2003	J	`jnl`	Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues. Artif. Intell. Medicine Christian W. Omlin, Sean Snyders
2002	C	`conf`	Automatic Detection of Film Orientation with Support Vector Machines. IEA/AIE Dane Walsh, Christian W. Omlin
2001	—	`conf`	Inductive Bias in Recurrent Neural Networks. IWANN (1) Sean Snyders, Christian W. Omlin
2001	—	`conf`	Knowledge-Based Neural Networks for Modelling Time Series. IWANN (2) Jacobus van Zyl, Christian W. Omlin
2000	—	`conf`	A Hybrid System for Signature Verification. IJCNN (5) T. Wessels, Christian W. Omlin
2000	A	`conf`	DEADLINER: Building a New Niche Search Engine. CIKM Andries Kruger, C. Lee Giles, Frans Coetzee, Eric J. Glover, Gary William Flake, Steve Lawrence, Christian W. Omlin
2000	—	`conf`	Refining Hidden Markov Models with Recurrent Neural Networks. IJCNN (2) T. Wessels, Christian W. Omlin
2000	—	`conf`	What Inductive Bias Gives Good Neural Network Training Performance? IJCNN (3) Sean Snyders, Christian W. Omlin
1999	J	`jnl`	Equivalence in knowledge representation: automata, recurrent neural networks, and dynamical fuzzy systems. Proc. IEEE C. Lee Giles, Christian W. Omlin, Karvel K. Thornber
1998	—	`conf`	Fuzzy Knowledge and Recurrent Neural Networks: A Dynamical Systems Perspective. Hybrid Neural Systems Christian W. Omlin, C. Lee Giles, Karvel K. Thornber
1998	J	`jnl`	Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks. IEEE Trans. Fuzzy Syst. Christian W. Omlin, Karvel K. Thornber, Clyde Lee Giles
1996	J	`jnl`	Constructing Deterministic Finite-State Automata in Recurrent Neural Networks. J. ACM Christian W. Omlin, C. Lee Giles
1996	J	`jnl`	Extraction of rules from discrete-time recurrent neural networks. Neural Networks Christian W. Omlin, C. Lee Giles
1996	—	`conf`	Representation of fuzzy finite state automata in continuous recurrent, neural networks. ICNN Christian W. Omlin, Karvel K. Thornber, C. Lee Giles
1996	J	`jnl`	Rule Revision With Recurrent Neural Networks. IEEE Trans. Knowl. Data Eng. Christian W. Omlin, C. Lee Giles
1996	J	`jnl`	Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants. Neural Comput. Christian W. Omlin, C. Lee Giles
1994	J	`jnl`	Pruning recurrent neural networks for improved generalization performance. IEEE Trans. Neural Networks C. Lee Giles, Christian W. Omlin
1994	—	`—`	Symbolic information in recurrent neural networks: Issues of representation and training. Christian W. Omlin
1993	—	`conf`	Rule refinement with recurrent neural networks. ICNN C. Lee Giles, Christian W. Omlin
1992	—	`conf`	Training Second-Order Recurrent Neural Networks using Hints. ML Christian W. Omlin, C. Lee Giles