Christian W. Omlin

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 27

Top Topics

Asset Management

Reinforcement Learning

Top Venues

Publications

Touseef Sadiq, Christian W. Omlin
Scene Retrieval in Traffic Videos with Contrastive Multimodal Learning. ICTAI (2023)
Michal Darowski, Muhammad Faisal Aftab, Hongyu Li, David Walker, Guoyu Yu, Chenghui An, Christian W. Omlin
Towards Data-Driven Material Removal Rate Estimation in Bonnet Polishing. ICCMA (2023)
Waddah Saeed, Christian W. Omlin
Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities. Knowl. Based Syst. 263 (2023)
Ajay Vishwanath, Einar Duenger Bøhn, Ole-Christoffer Granmo, Charl Maree, Christian W. Omlin
Towards artificial virtuous agents: games, dilemmas and machine learning. AI Ethics 3 (3) (2023)
Md. Haidar Sharif, Lei Jiao, Christian W. Omlin
CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection. Sensors 23 (18) (2023)
Micheal Dutt, Surender Redhu, Morten Goodwin, Christian W. Omlin
SleepXAI: An explainable deep learning approach for multi-class sleep stage identification. Appl. Intell. 53 (13) (2023)
Muriel Figueredo Franco, Christian W. Omlin, Oliver Kamer, Eder John Scheid, Burkhard Stiller
SECAdvisor: a Tool for Cybersecurity Planning using Economic Models. CoRR (2023)
Charl Maree, Christian W. Omlin
Balancing Profit, Risk, and Sustainability for Portfolio Management. CIFEr (2022)
Charl Maree, Christian W. Omlin
Can Interpretable Reinforcement Learning Manage Assets Your Way? CoRR (2022)
Micheal Dutt, Surender Redhu, Morten Goodwin, Christian W. Omlin
Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders. HealthCom (2022)
Charl Maree, Christian W. Omlin
Symbolic Explanation of Affinity-Based Reinforcement Learning Agents with Markov Models. CoRR (2022)
Md. Haidar Sharif, Lei Jiao, Christian W. Omlin
Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions. CoRR (2022)
Charl Maree, Christian W. Omlin
Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation. CIFEr (2022)
Charl Maree, Christian W. Omlin
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization. CoRR (2022)
Charl Maree, Jan Erik Modal, Christian W. Omlin
Towards Responsible AI for Financial Transactions. CoRR (2022)
Ajay Vishwanath, Einar Duenger Bøhn, Ole-Christoffer Granmo, Charl Maree, Christian W. Omlin
Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning. CoRR (2022)
Charl Maree, Christian W. Omlin
Reinforcement Learning with Intrinsic Affinity for Personalized Asset Management. CoRR (2022)
Charl Maree, Christian W. Omlin
Balancing Profit, Risk, and Sustainability for Portfolio Management. CoRR (2022)
Micheal Dutt, Morten Goodwin, Christian W. Omlin
Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. IJCNN (2021)
Charl Maree, Christian W. Omlin
Discovering Novel Customer Features with Recurrent Neural Networks for Personality Based Financial Services. CoRR (2021)
Charl Maree, Christian W. Omlin
Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality. CoRR (2021)
Charl Maree, Christian W. Omlin
Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality. SSCI (2021)
Waddah Saeed, Christian W. Omlin
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities. CoRR (2021)
Martin Holen, Rupsa Saha, Morten Goodwin, Christian W. Omlin, Knut Eivind Sandsmark
Road Detection for Reinforcement Learning Based Autonomous Car. ICISS (2020)
Charl Maree, Jan Erik Modal, Christian W. Omlin
Towards Responsible AI for Financial Transactions. SSCI (2020)
Ole-Christoffer Granmo, Sondre Glimsdal, Lei Jiao, Morten Goodwin, Christian W. Omlin, Geir Thore Berge
The Convolutional Tsetlin Machine. CoRR (2019)
Rohitash Chandra, Ratneel Deo, Christian W. Omlin
An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks. IJCNN (2016)
Ralf C. Staudemeyer, Christian W. Omlin
Extracting salient features for network intrusion detection using machine learning methods. South Afr. Comput. J. 52 (2014)
Deniz Bingol, Turgay Çelik, Christian W. Omlin, Hima B. Vadapalli
Facial action unit intensity estimation using rotation invariant features and regression analysis. ICIP (2014)
Ralf C. Staudemeyer, Christian W. Omlin
Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data. SAICSIT (2013)
Rohitash Chandra, Marcus R. Frean, Mengjie Zhang, Christian W. Omlin
Encoding subcomponents in cooperative co-evolutionary recurrent neural networks. Neurocomputing 74 (17) (2011)
Hima Vadapalli, Henry O. Nyongesa, Christian W. Omlin
Facial Action Unit Recognition Using Recurrent Neural Networks. IPCV (2009)
Rohitash Chandra, Christian W. Omlin
Hybrid Evolutionary One-Step Gradient Descent for Training Recurrent Neural Networks. GEM (2008)
Rohitash Chandra, Christian W. Omlin
A Hybrid Recurrent Neural Networks Architecture Inspired by Hidden Markov Models: Training and Extraction of Deterministic Finite Automaton. Artificial Intelligence and Pattern Recognition (2007)
Rohitash Chandra, Christian W. Omlin
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 (2007)
Rohitash Chandra, Christian W. Omlin
Knowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain. DMIN (2007)
Rohitash Chandra, Christian W. Omlin
Hybrid Recurrent Neural Networks: An Application to Phoneme Classification. GEM (2007)
Jacob Whitehill, Christian W. Omlin
Local versus Global Segmentation for Facial Expression Recognition. FGR (2006)
Okuthe Paul Kogeda, Johnson I. Agbinya, Christian W. Omlin
A Probabilistic Approach To Faults Prediction in Cellular Networks. ICN/ICONS/MCL (2006)
Jacob Whitehill, Christian W. Omlin
Haar Features for FACS AU Recognition. FGR (2006)
Rohitash Chandra, Christian W. Omlin
Training and extraction of fuzzy finite state automata in recurrent neural networks. Computational Intelligence (2006)
Okuthe Paul Kogeda, Johnson I. Agbinya, Christian W. Omlin
Impacts and Cost of Faults on Services in Cellular Networks. ICMB (2005)
A. Vahed, Christian W. Omlin
A Machine Learning Method for Extracting Symbolic Knowledge from Recurrent Neural Networks. Neural Comput. 16 (1) (2004)
Christian W. Omlin, Sean Snyders
Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues. Artif. Intell. Medicine 28 (2) (2003)
Dane Walsh, Christian W. Omlin
Automatic Detection of Film Orientation with Support Vector Machines. IEA/AIE (2002)
Jacobus van Zyl, Christian W. Omlin
Knowledge-Based Neural Networks for Modelling Time Series. IWANN (2) (2001)
Sean Snyders, Christian W. Omlin
Inductive Bias in Recurrent Neural Networks. IWANN (1) (2001)
Andries Kruger, C. Lee Giles, Frans Coetzee, Eric J. Glover, Gary William Flake, Steve Lawrence, Christian W. Omlin
DEADLINER: Building a New Niche Search Engine. CIKM (2000)
Sean Snyders, Christian W. Omlin
What Inductive Bias Gives Good Neural Network Training Performance? IJCNN (3) (2000)
T. Wessels, Christian W. Omlin
A Hybrid System for Signature Verification. IJCNN (5) (2000)
T. Wessels, Christian W. Omlin
Refining Hidden Markov Models with Recurrent Neural Networks. IJCNN (2) (2000)
C. Lee Giles, Christian W. Omlin, Karvel K. Thornber
Equivalence in knowledge representation: automata, recurrent neural networks, and dynamical fuzzy systems. Proc. IEEE 87 (9) (1999)
Christian W. Omlin, Karvel K. Thornber, Clyde Lee Giles
Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks. IEEE Trans. Fuzzy Syst. 6 (1) (1998)
Christian W. Omlin, C. Lee Giles, Karvel K. Thornber
Fuzzy Knowledge and Recurrent Neural Networks: A Dynamical Systems Perspective. Hybrid Neural Systems (1998)
Christian W. Omlin, C. Lee Giles
Constructing Deterministic Finite-State Automata in Recurrent Neural Networks. J. ACM 43 (6) (1996)
Christian W. Omlin, Karvel K. Thornber, C. Lee Giles
Representation of fuzzy finite state automata in continuous recurrent, neural networks. ICNN (1996)
Christian W. Omlin, C. Lee Giles
Extraction of rules from discrete-time recurrent neural networks. Neural Networks 9 (1) (1996)
Christian W. Omlin, C. Lee Giles
Rule Revision With Recurrent Neural Networks. IEEE Trans. Knowl. Data Eng. 8 (1) (1996)
Christian W. Omlin, C. Lee Giles
Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants. Neural Comput. 8 (4) (1996)
C. Lee Giles, Christian W. Omlin
Pruning recurrent neural networks for improved generalization performance. IEEE Trans. Neural Networks 5 (5) (1994)
C. Lee Giles, Christian W. Omlin
Rule refinement with recurrent neural networks. ICNN (1993)
Christian W. Omlin, C. Lee Giles
Training Second-Order Recurrent Neural Networks using Hints. ML (1992)