Christian W. Omlin
Orcid: 0000-0003-0299-171XAffiliations:
- University of Agder, Grimstad, Norway
According to our database1,
Christian W. Omlin
authored at least 62 papers
between 1992 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter.
Sensors, December, 2023
Sensors, September, 2023
SleepXAI: An explainable deep learning approach for multi-class sleep stage identification.
Appl. Intell., July, 2023
Online detrended fluctuation analysis and improved empirical wavelet transform for real-time oscillations detection in industrial control loops.
Comput. Chem. Eng., April, 2023
Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities.
Knowl. Based Syst., March, 2023
Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter.
CoRR, 2023
AI Ethics, 2023
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023
2022
Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions.
CoRR, 2022
Symbolic Explanation of Affinity-Based Reinforcement Learning Agents with Markov Models.
CoRR, 2022
CoRR, 2022
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization.
CoRR, 2022
Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders.
Proceedings of the IEEE International Conference on E-health Networking, 2022
Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation.
Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022
Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022
2021
Discovering Novel Customer Features with Recurrent Neural Networks for Personality Based Financial Services.
CoRR, 2021
Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the ICISS 2020: The 3rd International Conference on Information Science and System, 2020
2019
2016
An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2014
Extracting salient features for network intrusion detection using machine learning methods.
South Afr. Comput. J., 2014
Facial action unit intensity estimation using rotation invariant features and regression analysis.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data.
Proceedings of the 2013 South African Institute for Computer Scientists and Information Technologists, 2013
2011
Neurocomputing, 2011
2009
Credit Card Transactions, Fraud Detection, and Machine Learning: Modelling Time with LSTM Recurrent Neural Networks.
Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009
Facial Action Unit Recognition Using Recurrent Neural Networks.
Proceedings of the 2009 International Conference on Image Processing, 2009
2008
Hybrid Evolutionary One-Step Gradient Descent for Training Recurrent Neural Networks.
Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008
2007
Hybrid Recurrent Neural Networks: An Application to Phoneme Classification.
Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods, 2007
Knowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain.
Proceedings of the 2007 International Conference on Data Mining, 2007
The Comparison and Combination of Genetic and Gradient Descent Learning in Recurrent Neural Networks: An Application to Speech Phoneme Classification.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007
A Hybrid Recurrent Neural Networks Architecture Inspired by Hidden Markov Models: Training and Extraction of Deterministic Finite Automaton.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007
2006
Proceedings of the Fifth International Conference on Networking and the International Conference on Systems (ICN / ICONS / MCL 2006), 2006
Training and extraction of fuzzy finite state automata in recurrent neural networks.
Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006
2005
Proceedings of the 2005 International Conference on Mobile Business (ICMB 2005), 2005
2004
A Machine Learning Method for Extracting Symbolic Knowledge from Recurrent Neural Networks.
Neural Comput., 2004
2003
Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues.
Artif. Intell. Medicine, 2003
2002
Proceedings of the Developments in Applied Artificial Intelligence, 2002
2001
Proceedings of the Bio-inspired Applications of Connectionism, 2001
Proceedings of the Connectionist Models of Neurons, 2001
2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000
1999
Equivalence in knowledge representation: automata, recurrent neural networks, and dynamical fuzzy systems.
Proc. IEEE, 1999
1998
Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks.
IEEE Trans. Fuzzy Syst., 1998
Proceedings of the Hybrid Neural Systems, 1998
1996
Neural Networks, 1996
Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants.
Neural Comput., 1996
J. ACM, 1996
Representation of fuzzy finite state automata in continuous recurrent, neural networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
1994
Symbolic information in recurrent neural networks: Issues of representation and training.
PhD thesis, 1994
IEEE Trans. Neural Networks, 1994
1993
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993
1992
Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992