Christian W. Omlin

发表

Local versus global segmentation for facial expression recognition

Jacob Whitehill, Christian W. Omlin, C. Omlin, 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

Hybrid Recurrent Neural Networks: An Application to Phoneme Classification

Rohitash Chandra, Christian W. Omlin, 2007, GEM.

DEADLINER: building a new niche search engine

C. Lee Giles, Gary William Flake, Steve Lawrence, 2000, CIKM '00.

Haar features for FACS AU recognition

Jacob Whitehill, Christian W. Omlin, C. Omlin, 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks

Rohitash Chandra, Christian W. Omlin, Ratneel Deo, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Determining Cluster Boundaries using Particle Swarm Optimization

Christian W. Omlin, Anurag Sharma, 2008 .

Constructing deterministic finite-state automata in recurrent neural networks

C. Lee Giles, Christian W. Omlin, C. Omlin, 1996, JACM.

What inductive bias gives good neural network training performance?

Christian W. Omlin, Sean Snyders, C. Omlin, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A hybrid system for signature verification

Christian W. Omlin, T. Wessels, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Stable Encoding of Large Finite-State Automata in Recurrent Neural Networks with Sigmoid Discriminants

C. Lee Giles, Christian W. Omlin, C. Omlin, 1996, Neural Computation.

Impacts and cost of faults on services in cellular networks

Johnson I. Agbinya, Okuthe P. Kogeda, Christian W. Omlin, 2005, International Conference on Mobile Business (ICMB'05).

Renosterveld Conservation in South Africa: A Case Study for Handling Uncertainty in Knowledge-Based Neural Networks for Environmental Management

Rohitash Chandra, Christian W. Omlin, R. Knight, 2009 .

Encoding subcomponents in cooperative co-evolutionary recurrent neural networks

Mengjie Zhang, Rohitash Chandra, Marcus R. Frean, 2011, Neurocomputing.

Pruning recurrent neural networks for improved generalization performance

C. Lee Giles, Christian W. Omlin, 1994, IEEE Trans. Neural Networks.

Training and extraction of fuzzy finite state automata in recurrent neural networks

Rohitash Chandra, Christian W. Omlin, 2006, Computational Intelligence.

Training Second-Order Recurrent Neural Networks using Hints

C. Lee Giles, Christian W. Omlin, C. Omlin, 1992, ML.

A Probabilistic Approach To Faults Prediction in Cellular Networks

Johnson I. Agbinya, Okuthe P. Kogeda, Christian W. Omlin, 2006, International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06).

Extracting salient features for network intrusion detection using machine learning methods

Ralf C. Staudemeyer, Christian W. Omlin, C. Omlin, 2014, South Afr. Comput. J..

Representation of fuzzy finite state automata in continuous recurrent, neural networks

Karvel K. Thornber, C. L. Giles, Christian W. Omlin, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Automatic Detection of Film Orientation with Support Vector Machines

Christian W. Omlin, Dane Walsh, C. Omlin, 2002, IEA/AIE.

Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues

Christian W. Omlin, Sean Snyders, C. Omlin, 2003, Artif. Intell. Medicine.

Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks

Karvel K. Thornber, C. Lee Giles, Christian W. Omlin, 1998, IEEE Trans. Fuzzy Syst..

Refining hidden Markov models with recurrent neural networks

Christian W. Omlin, T. Wessels, C. Omlin, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Rule extraction from recurrent neural networks using a symbolic machine learning algorithm

Christian W. Omlin, Anwar Vahed, C. Omlin, 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

Building Subcomponents in the Cooperative Coevolution Framework for Training Recurrent Neural Networks: Technical Report

Mengjie Zhang, Rohitash Chandra, Christian W. Omlin, 2009 .

Knowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain

Rohitash Chandra, Christian W. Omlin, 2007, DMIN.

Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data

Ralf C. Staudemeyer, Christian W. Omlin, 2013, SAICSIT '13.

Rule Revision With Recurrent Neural Networks

C. Lee Giles, Christian W. Omlin, C. Omlin, 1996, IEEE Trans. Knowl. Data Eng..

Training recurrent neural networks with temporal input encodings

Tsung-Nan Lin, C. L. Giles, Bill G. Horne, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

The Comparison and Combination of Genetic and Gradient Descent Learning in Recurrent Neural Networks: An Application to Speech Phoneme Classification

Rohitash Chandra, Christian W. Omlin, C. Omlin, 2007, Artificial Intelligence and Pattern Recognition.

The Convolutional Tsetlin Machine pdf

Ole-Christoffer Granmo, Morten Goodwin Olsen, Lei Jiao, 2019, ArXiv.

Knowledge-Based Neural Networks for Modelling Time Series

Jacobus van Zyl, Christian W. Omlin, C. Omlin, 2001, IWANN.

Inductive Bias in Recurrent Neural Networks

Christian W. Omlin, Sean Snyders, 2001, IWANN.

Evolutionary Training of Hybrid Systems of Recurrent Neural Networks and Hidden Markov Models

Rohitash Chandra, Christian W. Omlin, 2008 .

Road Detection for Reinforcement Learning Based Autonomous Car

Rupsa Saha, Christian W. Omlin, Morten Goodwin, 2020, ICISS.

Extraction of rules from discrete-time recurrent neural networks

C. Lee Giles, Christian W. Omlin, C. Omlin, 1996, Neural Networks.

Hybrid Evolutionary One-Step Gradient Descent for Training Recurrent Neural Networks

Rohitash Chandra, Christian W. Omlin, 2008, GEM.

Facial action unit intensity estimation using rotation invariant features and regression analysis

Turgay Çelik, Hima Vadapalli, Christian W. Omlin, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Towards Responsible AI for Financial Transactions

Christian W. Omlin, Charl Maree, Jan Erik Modal, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

A Hybrid Recurrent Neural Networks Architecture Inspired by Hidden Markov Models: Training and Extraction of Deterministic Finite Automaton

Rohitash Chandra, Christian W. Omlin, 2007, Artificial Intelligence and Pattern Recognition.

Facial Action Unit Recognition Using Recurrent Neural Networks

Hima Vadapalli, Henry O. Nyongesa, Christian W. Omlin, 2009, IPCV.

Fuzzy Knowledge and Recurrent Neural Networks: A Dynamical Systems Perspective

Karvel K. Thornber, C. Lee Giles, Christian W. Omlin, 1998, Hybrid Neural Systems.

Performance comparison of particle swarm optimization with traditional clustering algorithms used in self organizing map

Anuraganand Sharma, Christian W. Omlin, 2009 .

Credit Card Transactions, Fraud Detection, and Machine Learning: Modelling Time with LSTM Recurrent Neural Networks

Christian W. Omlin, Bénard Wiese, 2009, Innovations in Neural Information Paradigms and Applications.

Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality

Christian W. Omlin, Charl Maree, C. Omlin, 2021, 2021 IEEE Symposium Series on Computational Intelligence (SSCI).

Discovering Novel Customer Features with Recurrent Neural Networks for Personality Based Financial Services pdf

Christian W. Omlin, Charl Maree, 2021, ArXiv.

Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation

Christian W. Omlin, Charl Maree, 2021 .

Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network

Morten Goodwin Olsen, Christian W. Omlin, Micheal Dutt, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Recurrent Neural Networks for Signature Verification

Christian W. Omlin, C. Omlin, Conrad Tiflin, 2003 .

Probabilistic Faults Prediction in Cellular Networks

Johnson I. Agbinya, Okuthe P. Kogeda, Christian W. Omlin, 2005 .