W. Dubitzky

Huiru Zheng, Paul Thompson, Werner Dubitzky, 2013, 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012: Preface

Xiaohua Hu, Cathy H. Wu, Lyle H. Ungar, 2012, BIBM 2012.

Distributed, High-Performance and Grid Computing in Computational Biology , International Workshop, GCCB 2006, Eilat, Israel, January 21, 2007, Proceeding

Peter M. A. Sloot, Assaf Schuster, Mathilde Romberg, 2007, GCCB.

Jeffreys-Lindley Paradox in Machine Learning

Werner Dubitzky, Daniel Berrar, D. Berrar, 2017 .

Introduction to genomic and proteomic data analysis

Werner Dubitzky, Daniel Berrar, D. Berrar, 2007 .

Vitamin D status and parathyroid hormone relationship in adolescents and its association with bone health parameters: analysis of the Northern Ireland Young Heart’s Project

P. Robson, L. Murray, W. Dubitzky, 2010, Osteoporosis International.

Low vitamin D status adversely affects bone health parameters in adolescents 1 – 3

P. Robson, J. Strain, L. Murray, 2008 .

NCBI viral genomes resources

O. Wolkenhauer, W. Dubitzky, M. P. Dobay, 2013 .

Relevance of the KCNH2 protein stoichiometry to pathological conditions underlying QT abnormality

C. Nugent, G. Petznick, P. Beyerlein, 2008, 2008 Computers in Cardiology.

Triangular flow of negative pions emitted in PbAu collisions at $\sqrt{s_{NN}}$ = $ 17.3~GeV

K. Filimonov, J. Milosevic, W. Dubitzky, 2017 .

Incorporating domain knowledge in machine learning for soccer outcome prediction

D. Berrar, W. Dubitzky, P. Lopes, 2018, Machine Learning.

Guest editorial: special issue on machine learning for soccer

Jesse Davis, D. Berrar, W. Dubitzky, 2018, Machine Learning.

Incorporating domain knowledge in machine learning for soccer outcome prediction

D. Berrar, W. Dubitzky, P. Lopes, 2018, Machine Learning.

Predicting coronary disease risk based on short-term RR interval measurements: a neural network approach

X. Wu, Francisco Azuaje, Norman D. Black, 1999, Artif. Intell. Medicine.

A Practical Approach to Microarray Data Analysis

Werner Dubitzky, Martin Granzow, Daniel Berrar, 2003, Springer US.

On the Jeffreys-Lindley Paradox and the Looming Reproducibility Crisis in Machine Learning

Werner Dubitzky, Daniel P. Berrar, D. Berrar, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Computational methodologies for modelling, analysis and simulation of signalling networks

David R. Gilbert, Werner Dubitzky, C. Stephen Downes, 2006, Briefings Bioinform..

Repast HPC: A Platform for Large-Scale Agent-Based Modeling

Werner Dubitzky, Krzysztof Kurowski, Bernard Schott, 2012 .

Towards Creative Information Exploration Based on Koestler's Concept of Bisociation

Tobias Kötter, Michael R. Berthold, Werner Dubitzky, 2012, Bisociative Knowledge Discovery.

Neural Plasma

Werner Dubitzky, Daniel P. Berrar, D. Berrar, 2006, IFIP AI.

Multiclass Cancer Classification Using Gene Expression Profiling and Probabilistic Neural Networks

Werner Dubitzky, Daniel P. Berrar, C. Stephen Downes, 2002, Pacific Symposium on Biocomputing.

A Probabilistic Neural Network for Gene Selection and Classification of Microarray Data

Werner Dubitzky, Daniel P. Berrar, C. Stephen Downes, 2003, IC-AI.

Grid-enabling data mining applications with DataMiningGrid: An architectural perspective

Vlado Stankovski, Werner Dubitzky, Thomas Niessen, 2008, Future Gener. Comput. Syst..

Encyclopedia of Systems Biology

Kwang-Hyun Cho, Werner Dubitzky, Olaf Wolkenhauer, 2013, Springer New York.

Text mining of full-text journal articles combined with gene expression analysis reveals a relationship between sphingosine-1-phosphate and invasiveness of a glioblastoma cell line

Jeyakumar Natarajan, Werner Dubitzky, Daniel P. Berrar, 2006, BMC Bioinformatics.

Tumor classification by gene expression profiling: comparison and validation of five clustering methods

A. Schuster, F. J. Azuaje, M. Granzow, 2001, SIGB.

Avoiding model selection bias in small-sample genomic datasets

Werner Dubitzky, Daniel P. Berrar, Ian Bradbury, 2006, Bioinform..

Focal Activity in Simulated LQT2 Models at Rapid Ventricular Pacing: Analysis of Cardiac Electrical Activity Using Grid-Based Computation

Chong Wang, Chris D. Nugent, Werner Dubitzky, 2005, ISBMDA.

Multi-scale modelling of the bile acid and xenobiotic system,

Huiru Zheng, Werner Dubitzky, Noel Kennedy, 2011 .

Representing bioinformatics causality

Werner Dubitzky, Jesús A. López, Johannes J. Mandel, 2004, Briefings Bioinform..

Fundamentals of Data Mining in Genomics and Proteomics

Werner Dubitzky, W. Dubitzky, 2009 .

Mathematical models of cell cycle regulation

Werner Dubitzky, C. Stephen Downes, Hendrik Fuß, 2005, Briefings Bioinform..

Text Mining of Full Text Articles and Creation of a Knowledge Base for Analysis of Microarray Data

Jeyakumar Natarajan, Werner Dubitzky, Yonghong Zhang, 2004, KELSI.

Knowledge discovery in electrocardiographic data based on neural clustering algorithms

F. Azuaje, N. Black, W. Dubitzky, 1998 .

The Influence of Network Topology on Reverse-engineering of Gene-regulatory Networks

Huiru Zheng, Paul Thompson, Werner Dubitzky, 2014, ICCS.

The CERES/NA45 radial drift Time Projection Chamber

K. Filimonov, A. Milov, J. Milosevic, 2008 .

Retrieval strategies for case-based reasoning: a categorised bibliography

Francisco Azuaje, Norman D. Black, Werner Dubitzky, 2000, The Knowledge Engineering Review.

Elliptic flow of charged pions, protons and strange particles emitted in Pb + Au collisions at top SPS energy

K. Filimonov, J. Milosevic, W. Dubitzky, 2012, 1205.3692.

Comparative study of three commonly used continuous deterministic methods for modeling gene regulation networks

Werner Dubitzky, Martin T. Swain, Johannes J. Mandel, 2010, BMC Bioinformatics.

Azimuthal dependence of pion source radii in Pb plus Au collisions at 158A GeV/c

K. Filimonov, R. Soualah, J. Milosevic, 2008, 0805.2484.

Bisociative Exploration of Biological and Financial Literature Using Clustering

Paul Thompson, Igor Mozetic, Werner Dubitzky, 2012, Bisociative Knowledge Discovery.

Anatomy and Physiology of Multiscale Modeling and Simulation in Systems Medicine.

Werner Dubitzky, Derek Groen, Bastien Chopard, 2016, Methods in molecular biology.

Case Memory and the Behaviouristic Model of Concepts and Cognition

David A. Bell, Werner Dubitzky, John G. Hughes, 1996, EWCBR.

A Grid Infrastructure for Text Mining of Full Text Articles and Creation of a Knowledge Base of Gene Relations

Jeyakumar Natarajan, Werner Dubitzky, Eric G. Bremer, 2005, ISBMDA.

Modification of the ρ meson detected by low-mass electron – positron pairs in central Pb – Au collisions at 158 A GeV / c CERES

K. Filimonov, A. Milov, J. Milosevic, 2008 .

SRC family kinases and receptors: analysis of three activation mechanisms by dynamic systems modeling.

Werner Dubitzky, Mary Jo Kurth, W. Dubitzky, 2008, Biophysical journal.

MultiGrain/MAPPER: A distributed multiscale computing approach to modeling and simulating gene regulation networks

Paul Thompson, Werner Dubitzky, Alexandru E. Mizeranschi, 2016, Future Gener. Comput. Syst..

Complex System Simulations with QosCosGrid

László Gulyás, Gabor Szemes, George Kampis, 2009, ICCS.

The Open International Soccer Database for machine learning

Jesse Davis, Werner Dubitzky, Daniel Berrar, 2018, Machine Learning.

Should significance testing be abandoned in machine learning?

D. Berrar, W. Dubitzky, 2018, International Journal of Data Science and Analytics.

Caveats and pitfalls in crowdsourcing research: the case of soccer referee bias

Werner Dubitzky, Daniel P. Berrar, Philippe Lopes, 2017, International Journal of Data Science and Analytics.

A flexible and robust similarity measure based on contextual probability

Werner Dubitzky, Hui Wang, Hui Wang, 2005, IJCAI.

An Advanced Case-Knowledge Architecture Based on Fuzzy Objects

David A. Bell, Werner Dubitzky, Alfons Schuster, 1997, Applied Intelligence.

A Genetic Algorithm and Growing Cell Structure Approach to Learning Case Retrieval Structures

Werner Dubitzky, Francisco Azuaje, F. Azuaje, 2000, Soft Computing in Case Based Reasoning.

Discovering relevance knowledge in data: a growing cell structures approach

Francisco Azuaje, Norman D. Black, Werner Dubitzky, 2000, IEEE Trans. Syst. Man Cybern. Part B.

On local and global feature weight discovery for case-based reasoning

Francisco Azuaje, Y. Song, Paul J. McCullagh, 1999, CATA.

Aggregating Features and Matching Cases on Vague Linguistic Expressions

David A. Bell, Werner Dubitzky, Alfons Schuster, 1997, IJCAI.

A generic, object‐oriented case‐knowledge representation scheme, and its integration into a wider information management scenario

David A. Bell, Werner Dubitzky, John G. Hughes, 1996 .

Data Mining Meets Grid Computing: Time to Dance?

Julio J. Valdés, Werner Dubitzky, Jesús Montes, 2009 .

Artificial Intelligence Methods And Tools For Systems Biology

Francisco Azuaje, Werner Dubitzky, F. Azuaje, 2004, Computational Biology.

Grid-enabling complex system applications with QosCosGrid: An architectural perspective

Assaf Schuster, Werner Dubitzky, Krzysztof Kurowski, 2008, GCA.

Protein folding and unfolding simulations: a new challenge for data mining.

Werner Dubitzky, Rui M M Brito, J Rui Rodrigues, 2004, Omics : a journal of integrative biology.

Quasi-opportunistic Supercomputing in Grid Environments

Ariel Orda, Assaf Schuster, Mark Silberstein, 2008, ICA3PP.

Performance of distributed multiscale simulations

P. V. Coveney, A. G. Hoekstra, O. Hoenen, 2014, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Survival Trees for Analyzing Clinical Outcome in Lung Adenocarcinomas Based on Gene Expression Profiles: Identification of Neogenin and Diacylglycerol Kinase Expression as Critical Factors

Werner Dubitzky, Daniel P. Berrar, Brian Sturgeon, 2005, J. Comput. Biol..

Evaluating a common semi-mechanistic mathematical model of gene-regulatory networks

Huiru Zheng, Werner Dubitzky, Alexandru Mizeranschi, 2015, BMC Systems Biology.

Automated reverse-engineering of gene regulatory networks based on semi-mechanistic rate laws

Huiru Zheng, Paul Thompson, Werner Dubitzky, 2014 .

A Topology-Aware Evolutionary Algorithm for Reverse-Engineering Gene Regulatory Networks

Camille Coti, Werner Dubitzky, Martin T. Swain, 2012 .

Mining Gene Expression Data using Rough Set Theory

Roland Eils, W. Dubitzky, S. Bulashevska, 1999 .

Modelling codependence in biological systems.

J J Mandel, N M Palfreyman, W Dubitzky, 2007, IET systems biology.

Towards Automated Case Knowledge Discovery in the M2 Case-Based Reasoning System

Werner Dubitzky, John G. Hughes, Sarabjot S. Anand, 1999, Knowledge and Information Systems.

A two-stage inference algorithm for gene regulation network models

Werner Dubitzky, Alexandru E. Mizeranschi, Huiru Zheng, 2016, Int. J. Comput. Biol. Drug Des..

A multi-model reverse-engineering algorithm for large gene regulation networks

Huiru Zheng, Paul Thompson, Werner Dubitzky, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Large-Scale Computing Techniques for Complex System Simulations

Werner Dubitzky, Krzysztof Kurowski, Bernard Schott, 2011 .

David A. Bell, Werner Dubitzky, Alfons Schuster, 1997, IJCAI.

A Fast and Efficient Algorithm for Topology-Aware Coallocation

Assaf Schuster, Werner Dubitzky, Martin T. Swain, 2008, ICCS.

P-found: The Protein Folding and Unfolding Simulation Repository

Werner Dubitzky, Daniel P. Berrar, Martin T. Swain, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

The Open International Soccer Database for machine learning

Jesse Davis, D. Berrar, W. Dubitzky, 2018, Machine Learning.

Corporate Evidential Decision Making in Performance Prediction Domains

David A. Bell, Maurice D. Mulvenna, Werner Dubitzky, 1997, UAI.

Conceptual distance of numerically specified case features

David A. Bell, Werner Dubitzky, Alfons Schuster, 1995, Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems.

Templates for distributed agent-based simulations on a quasi-opportunistic grid

Gabor Szemes, Walter de Back, Werner Dubitzky, 2008, ANSS 2008.

Symbolic and Subsymbolic Machine Learning Approaches for Molecular Classification of Cancer and Ranking of Genes

W. Dubitzky, D. Berrar, R. Eils, 2004 .

Data Mining and Machine Learning Methods for Microarray Analysis

Werner Dubitzky, Martin Granzow, Daniel Berrar, 2002 .

An evidential approach in ensembles

Yaxin Bi, Werner Dubitzky, W. Dubitzky, 2006, SAC.

Should significance testing be abandoned in machine learning?

Werner Dubitzky, Daniel Berrar, D. Berrar, 2018, International Journal of Data Science and Analytics.

Knowledge Exploration in Life Science Informatics

Werner Dubitzky, Emilio Benfenati, J. A. Lopez, 2004, Lecture Notes in Computer Science.

Understanding the dynamics of biological systems : lessons learned from integrative systems biology

Werner Dubitzky, W. Dubitzky, Hendrik Fuss, 2011 .