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Christian W. Omlin
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- affiliation: University of Agder, Grimstad, Norway
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2020 – today
- 2024
- [i14]Mulugeta Weldezgina Asres, Christian Walter Peter Omlin, Jay Dittmann, Pavel Parygin, Joshua Hiltbrand, Seth I. Cooper, Grace Cummings, David Yu:
Lightweight Multi-System Multivariate Interconnection and Divergence Discovery. CoRR abs/2404.08453 (2024) - 2023
- [j17]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): 663-672 (2023) - [j16]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): 16830-16843 (2023) - [j15]Wahiba Bounoua
, Muhammad Faisal Aftab, Christian Walter Peter Omlin
:
Online detrended fluctuation analysis and improved empirical wavelet transform for real-time oscillations detection in industrial control loops. Comput. Chem. Eng. 172: 108173 (2023) - [j14]Waddah Saeed
, Christian W. Omlin:
Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities. Knowl. Based Syst. 263: 110273 (2023) - [j13]Md. Haidar Sharif
, Lei Jiao
, Christian W. Omlin:
CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection. Sensors 23(18): 7734 (2023) - [j12]Mulugeta Weldezgina Asres
, Christian Walter Peter Omlin
, Long Wang
, David Yu
, Pavel Parygin
, Jay Dittmann
, Georgia Karapostoli
, Markus Seidel
, Rosamaria Venditti
, Luka Lambrecht
, Emanuele Usai
, Muhammad Ahmad
, Javier Fernandez Menendez
, Kaori Maeshima
, the CMS-HCAL Collaboration:
Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter. Sensors 23(24): 9679 (2023) - [c34]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: 473-479 - [c33]Touseef Sadiq, Christian W. Omlin:
Scene Retrieval in Traffic Videos with Contrastive Multimodal Learning. ICTAI 2023: 1020-1025 - [i13]Muriel Figueredo Franco
, Christian W. Omlin, Oliver Kamer, Eder John Scheid, Burkhard Stiller:
SECAdvisor: a Tool for Cybersecurity Planning using Economic Models. CoRR abs/2304.07909 (2023) - [i12]Mulugeta Weldezgina Asres, Christian Walter Peter Omlin, Long Wang, David Yu, Pavel Parygin, Jay Dittmann, Georgia Karapostoli, Markus Seidel
, Rosamaria Venditti, Luka Lambrecht, Emanuele Usai, Muhammad Ahmad, Javier Fernandez Menendez, Kaori Maeshima:
Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter. CoRR abs/2311.04190 (2023) - 2022
- [c32]Charl Maree, Christian W. Omlin:
Balancing Profit, Risk, and Sustainability for Portfolio Management. CIFEr 2022: 1-8 - [c31]Charl Maree, Christian W. Omlin:
Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation. CIFEr 2022: 1-7 - [c30]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: 94-99 - [i11]Charl Maree, Christian W. Omlin:
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization. CoRR abs/2201.10003 (2022) - [i10]Charl Maree, Christian W. Omlin:
Can Interpretable Reinforcement Learning Manage Assets Your Way? CoRR abs/2202.09064 (2022) - [i9]Charl Maree, Christian W. Omlin:
Reinforcement Learning with Intrinsic Affinity for Personalized Asset Management. CoRR abs/2204.09218 (2022) - [i8]Charl Maree, Jan Erik Modal, Christian W. Omlin:
Towards Responsible AI for Financial Transactions. CoRR abs/2206.02419 (2022) - [i7]Charl Maree, Christian W. Omlin:
Balancing Profit, Risk, and Sustainability for Portfolio Management. CoRR abs/2207.02134 (2022) - [i6]Charl Maree, Christian W. Omlin:
Symbolic Explanation of Affinity-Based Reinforcement Learning Agents with Markov Models. CoRR abs/2208.12627 (2022) - [i5]Md. Haidar Sharif, Lei Jiao, Christian W. Omlin:
Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions. CoRR abs/2210.13927 (2022) - 2021
- [c29]Micheal Dutt, Morten Goodwin, Christian W. Omlin:
Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. IJCNN 2021: 1-7 - [c28]Charl Maree, Christian W. Omlin:
Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality. SSCI 2021: 1-5 - [i4]Charl Maree, Christian W. Omlin:
Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality. CoRR abs/2109.09425 (2021) - [i3]Charl Maree, Christian W. Omlin:
Discovering Novel Customer Features with Recurrent Neural Networks for Personality Based Financial Services. CoRR abs/2109.11871 (2021) - [i2]Waddah Saeed, Christian W. Omlin:
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities. CoRR abs/2111.06420 (2021) - 2020
- [c27]Martin Holen
, Rupsa Saha
, Morten Goodwin, Christian W. Omlin, Knut Eivind Sandsmark:
Road Detection for Reinforcement Learning Based Autonomous Car. ICISS 2020: 67-71 - [c26]Charl Maree, Jan Erik Modal, Christian W. Omlin:
Towards Responsible AI for Financial Transactions. SSCI 2020: 16-21
2010 – 2019
- 2019
- [i1]Ole-Christoffer Granmo, Sondre Glimsdal, Lei Jiao, Morten Goodwin, Christian W. Omlin, Geir Thore Berge:
The Convolutional Tsetlin Machine. CoRR abs/1905.09688 (2019) - 2016
- [c25]Rohitash Chandra
, Ratneel Deo
, Christian W. Omlin:
An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks. IJCNN 2016: 4865-4872 - 2014
- [j11]Ralf C. Staudemeyer, Christian W. Omlin
:
Extracting salient features for network intrusion detection using machine learning methods. South Afr. Comput. J. 52: 82-96 (2014) - [c24]Deniz Bingol, Turgay Çelik, Christian W. Omlin
, Hima B. Vadapalli
:
Facial action unit intensity estimation using rotation invariant features and regression analysis. ICIP 2014: 1381-1385 - 2013
- [c23]Ralf C. Staudemeyer, Christian W. Omlin
:
Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data. SAICSIT 2013: 218-224 - 2011
- [j10]Rohitash Chandra
, Marcus R. Frean, Mengjie Zhang, Christian W. Omlin
:
Encoding subcomponents in cooperative co-evolutionary recurrent neural networks. Neurocomputing 74(17): 3223-3234 (2011)
2000 – 2009
- 2009
- [c22]Hima Vadapalli, Henry O. Nyongesa, Christian W. Omlin:
Facial Action Unit Recognition Using Recurrent Neural Networks. IPCV 2009: 357-361 - [p1]Bénard Wiese, Christian W. Omlin
:
Credit Card Transactions, Fraud Detection, and Machine Learning: Modelling Time with LSTM Recurrent Neural Networks. Innovations in Neural Information Paradigms and Applications 2009: 231-268 - 2008
- [c21]Rohitash Chandra, Christian W. Omlin:
Hybrid Evolutionary One-Step Gradient Descent for Training Recurrent Neural Networks. GEM 2008: 305-311 - 2007
- [c20]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: 278-285 - [c19]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: 286-293 - [c18]Rohitash Chandra, Christian W. Omlin:
Knowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain. DMIN 2007: 221-227 - [c17]Rohitash Chandra, Christian W. Omlin:
Hybrid Recurrent Neural Networks: An Application to Phoneme Classification. GEM 2007: 57-62 - 2006
- [c16]Jacob Whitehill, Christian W. Omlin
:
Haar Features for FACS AU Recognition. FGR 2006: 97-101 - [c15]Jacob Whitehill, Christian W. Omlin
:
Local versus Global Segmentation for Facial Expression Recognition. FGR 2006: 357-362 - [c14]Rohitash Chandra, Christian W. Omlin:
Training and extraction of fuzzy finite state automata in recurrent neural networks. Computational Intelligence 2006: 274-279 - [c13]Okuthe Paul Kogeda
, Johnson I. Agbinya, Christian W. Omlin
:
A Probabilistic Approach To Faults Prediction in Cellular Networks. ICN/ICONS/MCL 2006: 130 - 2005
- [c12]Okuthe Paul Kogeda
, Johnson I. Agbinya, Christian W. Omlin
:
Impacts and Cost of Faults on Services in Cellular Networks. ICMB 2005: 551-555 - 2004
- [j9]A. Vahed, Christian W. Omlin
:
A Machine Learning Method for Extracting Symbolic Knowledge from Recurrent Neural Networks. Neural Comput. 16(1): 59-71 (2004) - 2003
- [j8]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): 121-140 (2003) - 2002
- [c11]Dane Walsh, Christian W. Omlin
:
Automatic Detection of Film Orientation with Support Vector Machines. IEA/AIE 2002: 36-46 - 2001
- [c10]Sean Snyders, Christian W. Omlin:
Inductive Bias in Recurrent Neural Networks. IWANN (1) 2001: 339-346 - [c9]Jacobus van Zyl, Christian W. Omlin
:
Knowledge-Based Neural Networks for Modelling Time Series. IWANN (2) 2001: 579-586 - 2000
- [c8]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: 272-281 - [c7]T. Wessels, Christian W. Omlin:
Refining Hidden Markov Models with Recurrent Neural Networks. IJCNN (2) 2000: 271-278 - [c6]Sean Snyders, Christian W. Omlin:
What Inductive Bias Gives Good Neural Network Training Performance? IJCNN (3) 2000: 445-450 - [c5]T. Wessels, Christian W. Omlin:
A Hybrid System for Signature Verification. IJCNN (5) 2000: 509-514
1990 – 1999
- 1999
- [j7]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): 1623-1640 (1999) - 1998
- [j6]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): 76-89 (1998) - [c4]Christian W. Omlin
, C. Lee Giles, Karvel K. Thornber:
Fuzzy Knowledge and Recurrent Neural Networks: A Dynamical Systems Perspective. Hybrid Neural Systems 1998: 123-143 - 1996
- [j5]Christian W. Omlin
, C. Lee Giles
:
Constructing Deterministic Finite-State Automata in Recurrent Neural Networks. J. ACM 43(6): 937-972 (1996) - [j4]Christian W. Omlin
, C. Lee Giles
:
Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants. Neural Comput. 8(4): 675-696 (1996) - [j3]Christian W. Omlin
, C. Lee Giles
:
Extraction of rules from discrete-time recurrent neural networks. Neural Networks 9(1): 41-52 (1996) - [j2]Christian W. Omlin
, C. Lee Giles
:
Rule Revision With Recurrent Neural Networks. IEEE Trans. Knowl. Data Eng. 8(1): 183-188 (1996) - [c3]Christian W. Omlin
, Karvel K. Thornber, C. Lee Giles
:
Representation of fuzzy finite state automata in continuous recurrent, neural networks. ICNN 1996: 1023-1027 - 1994
- [b1]Christian W. Omlin:
Symbolic information in recurrent neural networks: Issues of representation and training. Rensselaer Polytechnic Institute, USA, 1994 - [j1]C. Lee Giles
, Christian W. Omlin
:
Pruning recurrent neural networks for improved generalization performance. IEEE Trans. Neural Networks 5(5): 848-851 (1994) - 1993
- [c2]C. Lee Giles
, Christian W. Omlin
:
Rule refinement with recurrent neural networks. ICNN 1993: 801-806 - 1992
- [c1]Christian W. Omlin
, C. Lee Giles
:
Training Second-Order Recurrent Neural Networks using Hints. ML 1992: 361-366
Coauthor Index
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last updated on 2024-08-05 20:23 CEST by the dblp team
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