Dr. Michael Madden

B.E., Ph.D., M.I.E.I.

Contact Details


Information Technology

T: +353 91 493797
E: michael.madden@nuigalway.ie
W: http://datamining.it.nuigalway.ie
 
researcher

Biography

Michael G. Madden is a Senior Lecturer and former head of the Discipline of Information Technology, National University of Ireland, Galway. He previously worked in an Irish internationally-trading engineering software company, where he was the Research & Development Manager. Prior to that, he received his PhD in NUI Galway. He now leads the Machine Learning Research Group in Galway. His research interests include Reinforcement Learning, Bayesian Learning, and the use of appropriate Machine Learning and Data Mining techniques in application areas including logistics, medical diagnosis and chemical analysis.

Research Interests

My research is focused on new theoretical advances in machine learning and data mining, motivated by important practical applications, on the basis that challenging applications foster novel algorithms which in turn enable new applications.

Specific research topics include:

  • Artificial intelligence, data mining & machine learning
  • Algorithms for classification and numeric prediction
  • New methods for combining domain knowledge with data mining
  • Time series data analysis
  • Probability, reasoning under uncertainty, and Bayesian networks
  • Reinforcement learning
  • Practical applications of data mining and machine learning in science, engineering & medicine.

Peer Reviewed Journals

  Year Publication
(2014) 'An Automated Screening System for Tuberculosis'
Santiago-Mozos, R,Perez-Cruz, F,Madden, MG,Artes-Rodriguez, A (2014) 'An Automated Screening System for Tuberculosis'. Ieee Journal Of Biomedical And Health Informatics, 18 :855-862 [DOI] [Details]
(2013) 'Bayesian networks for mathematical models: Techniques for automatic construction and efficient inference'
Enright, CG,Madden, MG,Madden, N (2013) 'Bayesian networks for mathematical models: Techniques for automatic construction and efficient inference'. International Journal Of Approximate Reasoning, 54 :323-342 [DOI] [Details]
(2013) 'Bayesian networks for mathematical models: techniques for automatic construction and efficient inference'
Enright, Catherine G. and Madden, Michael G. and Madden, Niall (2013) 'Bayesian networks for mathematical models: techniques for automatic construction and efficient inference'. Internat. J. Approx. Reason, 54 (2):323-342 [DOI] [Details]
(2012) 'New similarity metrics for Raman spectroscopy'
Khan, SS,Madden, MG (2012) 'New similarity metrics for Raman spectroscopy'. Chemometrics And Intelligent Laboratory Systems, 114 :99-108 [DOI] [Details]
(2010) 'Revealing the Origin and Nature of Drug Resistance of Dynamic Tumour Systems'
Ricardo Santiago-Mozos, Imtiaz Khan and Michael G. Madden (2010) 'Revealing the Origin and Nature of Drug Resistance of Dynamic Tumour Systems'. International Journal of Knowledge Discovery in Bioinformatics, 1 (4) [DOI] [ARAN Link] [Details]
(2009) 'On the classification performance of TAN and general Bayesian networks'
Madden, MG (2009) 'On the classification performance of TAN and general Bayesian networks'. Knowledge-Based Systems, 22 :489-495 [DOI] [Details]
(2009) 'Analysis of the Effects of Unexpected Outliers in the Classification of Spectroscopy Data'
Glavin, F. G., & Madden, M. G. (2009) 'Analysis of the Effects of Unexpected Outliers in the Classification of Spectroscopy Data'. Paper presented at the 20th Irish Conference on Artificial Intelligence and Cognitive Science, [ARAN Link] [Details]
(2006) 'A Neural Network Approach to Predicting Stock Exchange Movements using External Factors'
O'Connor, N., Madden, M.G. (2006) 'A Neural Network Approach to Predicting Stock Exchange Movements using External Factors'. Knowledge Based Systems, 19 (5) [Details]
(2006) 'The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data'
Howley, T., Madden, M.G., O'Connell, M.L., Ryder, A.G. (2006) 'The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data'. Knowledge-Based Systems, 19 (5):363-370 [ARAN Link] [Details]
(2005) 'An Improved Genetic Programming Technique for Identification of Solvents from Raman Spectra'
Hennessy, K., Madden, M.G., Conroy, J., Ryder, A.G. (2005) 'An Improved Genetic Programming Technique for Identification of Solvents from Raman Spectra'. Knowledge Based Systems, 18 (04-May) [Details]
(2005) 'The Genetic Kernel Support Vector Machine: Description and Evaluation'
Howley, T., Madden, M.G. (2005) 'The Genetic Kernel Support Vector Machine: Description and Evaluation'. Artificial Intelligence Review, 24 (03-Apr) [Details]
(2004) 'Transfer of Experience between Reinforcement Learning Environments with Progressive Difficulty'
Howley, T. & Madden, M. G. (2004) 'Transfer of Experience between Reinforcement Learning Environments with Progressive Difficulty'. Artificial Intelligence Review, 21 (3):375-398 [Details]
(1999) 'Monitoring and diagnosis of multiple incipient faults using fault tree induction'
Madden, MGM,Nolan, PJ (1999) 'Monitoring and diagnosis of multiple incipient faults using fault tree induction'. Iee Proceedings-Control Theory And Applications, 146 :204-212 [Details]

Book Chapters

  Year Publication
(2006) 'Keeping Your Computers Secure'
Michael, G., Madden, M.G. (2006) 'Keeping Your Computers Secure' In: Computers in Psychiatry. Gaskell; Royal College of Psychiatrists. [Details]
(2003) 'Evaluation of Student Attitudes to Learning the Java Language'
Madden, M.G., Chambers, D. (2003) 'Evaluation of Student Attitudes to Learning the Java Language' In: Recent Advances in Java Technology. Computer Science Press. [Details]

Conference Publications

  Year Publication
(2011) Proc. 13th Conference on Artificial Intelligence in Medicine
Catherine G. Enright, Michael G. Madden, Niall Madden, and John G. Laffey (2011) Clinical Time Series Data Analysis Using Mathematical Models and DBNs Proc. 13th Conference on Artificial Intelligence in Medicine Slovenia, [Details]
(2010) Proceedings of 5th INFORMS Workshop on Data Mining and Health Informatics
Mei Chen & Michael G. Madden (2010) A Robust Hierarchical Model for Schizophrenia Detection in High Dimensional fMRI Proceedings of 5th INFORMS Workshop on Data Mining and Health Informatics Austin TX, [Details]
(2010) Proceedings of PITTCON-2010 Conference
Shehroz S. Khan and Michael G. Madden (2010) Kernel-Based One-Class Nearest Neighbor Approach for Identification of Chlorinated Solvents Proceedings of PITTCON-2010 Conference Orlando, USA, [Details]
(2010) Proceedings of 21st Artificial Intelligence and ve Science Conference
Abdenour Bounsiar & Michael G. Madden (2010) Classification of Healthy and Schizophrenic Subjects by Using Multi-Site fMRI Data Proceedings of 21st Artificial Intelligence and ve Science Conference Galway, [Details]
(2010) Proceedings of the 2010 European Signal Processing Conference
Abdenour Bounsiar & Michael G. Madden (2010) Support Vector One-Class Classification for Multiple-Distribution Data Proceedings of the 2010 European Signal Processing Conference Aalborg, [Details]
(2010) Proceedings of 21st Artificial Intelligence and Cognitive Science Conference
Mei Chen & Michael G. Madden (2010) A Short Review of fMRI Data Analysis for Cognitive Understanding and Psychiatric Illness Detection Proceedings of 21st Artificial Intelligence and Cognitive Science Conference Galway, [Details]
(2010) Proceedings of 10th IEEE International Conference on Data Mining, Biological Data Mining and its Applications in Healthcare Workshop
Ricardo Santiago-Mozos, Imtiaz A. Khan & Michael G. Madden (2010) Is Topotecan Effective at Killing Cancer Cells? Proceedings of 10th IEEE International Conference on Data Mining, Biological Data Mining and its Applications in Healthcare Workshop Sydney, [Details]
(2010) Proceedings of PITTCON-2010 Conference
Shehroz S. Khan and Michael G. Madden (2010) Qualitative Analysis of Chlorinated Solvents using Raman Spectroscopy and One-Sided Classification Machine Learning Techniques Proceedings of PITTCON-2010 Conference Orlando, USA, [Details]
(2010) Proceedings of BIOSIGNALS-2010, Part of the 3rd International Joint Conference on Biomedical Engineering Systems and Technologies
Catherine G. Enright & Michael G. Madden (NUI Galway), Stuart J. Russell & Norm Aleks (UC Berkeley), Geoffrey Manley (UCSF), John Laffey (NUI Galway), Brian Harte & Anne Mulvey (University Hospital Galway), Niall Madden (NUI Galway) (2010) Modelling Glycaemia in ICU Patients: A Dynamic Bayesian Network Approach Proceedings of BIOSIGNALS-2010, Part of the 3rd International Joint Conference on Biomedical Engineering Systems and Technologies Valencia, Spain, [Details]
(2010) Proceedings of AI-2010, the Thirtieth SGAI International Conference
David McGlynn and Michael G. Madden (2010) An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition Proceedings of AI-2010, the Thirtieth SGAI International Conference Cambridge, UK, [Details]
(2010) Proceedings of the International Conference on Progress in Informatics and Computing
Mei Chen, Michael G. Madden & Lan Liu (2010) Refined Learning of Hidden Markov Models with a Modified Baum-Welch Algorithm and Informative Components Proceedings of the International Conference on Progress in Informatics and Computing Shanghai, [Details]
(2009) Proceedings of 20th Artificial Intelligence and Cognitive Science Conference, Lecture Notes in Computer Science
Frank G. Glavin and Michael G. Madden (2009) Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data Proceedings of 20th Artificial Intelligence and Cognitive Science Conference, Lecture Notes in Computer Science Dublin, [Details]
(2009) RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXV
MADDEN, MG et al. (2009) On the Classification Performance of TAN and General Bayesian Networks RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXV , pp.3-16 [ARAN Link] [Details]
(2009) APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVI
MADDEN, MG et al. (2009) A Machine Learning Application for Classification of Chemical Spectra APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVI , pp.77-90 [ARAN Link] [Details]
(2009) Proceedings of 20th Artificial Intelligence and Cognitive Science Conference, Lecture Notes in Computer Science
Shehroz S. Khan and Michael G. Madden (2009) A Survey of Recent Trends in One Class Classification Proceedings of 20th Artificial Intelligence and Cognitive Science Conference, Lecture Notes in Computer Science Dublin, [ARAN Link] [Details]
(2006) An evolutionary approach to automatic kernel construction
Howley, T,Madden, MG (2006) ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 2 An evolutionary approach to automatic kernel construction , pp.417-426 [Details]
(2006) A neural network approach to predicting stock exchange movements using external factors
O'Connor, N,Madden, MG (2006) KNOWLEDGE-BASED SYSTEMS A neural network approach to predicting stock exchange movements using external factors , pp.371-378 [DOI] [Details]
(2006) KNOWLEDGE-BASED SYSTEMS
Howley, T,Madden, MG,O'Connell, ML,Ryder, AG (2006) The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data KNOWLEDGE-BASED SYSTEMS , pp.363-370 [DOI] [Details]
(2005) KNOWLEDGE-BASED SYSTEMS
Hennessy, K,Madden, MG,Conroy, J,Ryder, AG (2005) An improved genetic programming technique for the classification of Raman spectra KNOWLEDGE-BASED SYSTEMS , pp.217-224 [DOI] [Details]
(2005) Context-sensitive regression analysis for distributed data
Xing, Y,Madden, MG,Duggan, J,Lyons, GJ (2005) ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS Context-sensitive regression analysis for distributed data , pp.292-299 [Details]
(2005) The genetic kernel support vector machine: Description and evaluation
Howley, T,Madden, MG (2005) ARTIFICIAL INTELLIGENCE REVIEW The genetic kernel support vector machine: Description and evaluation , pp.379-395 [DOI] [Details]
(2004) Transfer of experience between reinforcement learning environments with progressive difficulty
Madden, MG,Howley, T (2004) ARTIFICIAL INTELLIGENCE REVIEW Transfer of experience between reinforcement learning environments with progressive difficulty , pp.375-398 [Details]
(2004) The evolution of probabilistic reciprocity in a multi-agent environment with neighborhoods
Ridge, E,Madden, MG,Lyons, GJ (2004) COOPERATIVE INFORMATION AGENTS VIII, PROCEEDINGS The evolution of probabilistic reciprocity in a multi-agent environment with neighborhoods , pp.123-136 [Details]
(2003) Distributed regression for heterogeneous data sets
Xing, Y,Madden, MG,Duggan, J,Lyons, GJ (2003) ADVANCES IN INTELLIGENT DATA ANALYSIS V Distributed regression for heterogeneous data sets , pp.544-553 [Details]
(2002) ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE, PROCEEDINGS
MADDEN, MG et al. (2002) A new Bayesian network structure for classification tasks ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE, PROCEEDINGS , pp.203-208 [Details]
(2002) A new Bayesian network structure for classification tasks
Madden, MG (2002) ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE, PROCEEDINGS A new Bayesian network structure for classification tasks , pp.203-208 [Details]

Other Journals

  Year Publication
(2003) 'Machine Learning Methods for Quantitative Analysis of Raman Spectroscopy Data'
Madden, M.G., Ryder, A.G. (2003) 'Machine Learning Methods for Quantitative Analysis of Raman Spectroscopy Data' Proceedings of SPIE, the International Society for Optical Engineering, 4876 :1030-1039. [Details]
(2003) 'A Multi-Agent System for Context-based Distributed Data Mining'
Xing, Y., Madden, M.G., Duggan, J., Lyons, G. (2003) 'A Multi-Agent System for Context-based Distributed Data Mining' Technical Report, NUIG-IT-170503, Department of Information Technology, National University of Ireland, . [ARAN Link] [Details]
(1995) 'Integrating Customised AutoCAD Graphics with Dynamic Simulation Systems'
Madden, M. G., Ryan, E. T. and Nolan, P. J. (1995) 'Integrating Customised AutoCAD Graphics with Dynamic Simulation Systems' Proceedings of Second European Workshop on Computer Simulation of Factories, . [Details]
(1994) 'System Integration in the Computer Simulated Plant Project'
Madden, M.G., Nolan, P.J. (1994) 'System Integration in the Computer Simulated Plant Project' Proceedings of First European Workshop on Computer Simulation of Factories, . [Details]

Conference Paper

  Year Publication
(2011) Systems Cytometry Approach to Understanding a Dynamic Cellular System: Asymmetric Lineage Expansion Underpins Tumour Drug Resistance. International Cytometry (CYTO) Conference.
Imtiaz Khan, M Rowan Brown, Paul J Smith, Sally Chappell, Michael G. Madden, Ricardo Santiago Mozos, Rachel J. Errington (2011) Systems Cytometry Approach to Understanding a Dynamic Cellular System: Asymmetric Lineage Expansion Underpins Tumour Drug Resistance. International Cytometry (CYTO) Conference. Baltimore, MD: Conference Paper [Details]
(2008) A Machine Learning Application for Classification of Chemical Spectra.
Madden, M. G. & Howley, T. (2008) A Machine Learning Application for Classification of Chemical Spectra. Conference Paper [ARAN Link] [Details]
(2008) On the Classification Performance of TAN and General Bayesian Networks.
Madden, M. G. (2008) On the Classification Performance of TAN and General Bayesian Networks. Conference Paper [ARAN Link] [Details]
(2008) Probabilistic Detection of Short Events, with Application to Critical Care Monitoring.
Aleks, N., Russell, S., Madden, M.G., Morabito, D., Manley, G., Staudenmayer, K., Cohen, M. (2008) Probabilistic Detection of Short Events, with Application to Critical Care Monitoring. Conference Paper [ARAN Link] [Details]
(2008) A Data-Driven Exploration of Factors Affecting Student Performance in a Third-Level Institution.
Madden, M.G., Lyons, W., Kavanagh, I. (2008) A Data-Driven Exploration of Factors Affecting Student Performance in a Third-Level Institution. Conference Paper [ARAN Link] [Details]
(2008) Probabilistic Modeling of Sensor Artifacts in Critical Care.
Aleks, N., Russell, S., Madden, M.G., Morabito, D., Manley, G., Staudenmayer, K., Cohen, M. (2008) Probabilistic Modeling of Sensor Artifacts in Critical Care. Conference Paper [ARAN Link] [Details]
(2007) The Evolution of a Kernel-Based Distance Metric for k-NN Regression.
Madden, M.G., Howley, T. (2007) The Evolution of a Kernel-Based Distance Metric for k-NN Regression. Conference Paper [ARAN Link] [Details]
(2007) Investigation into the use of PCA with Machine Learning for the Identification of Narcotics based on Raman Spectroscopy.
Howley, T., Madden, M.G., O'Connell, M.L., Ryder, A.G. (2007) Investigation into the use of PCA with Machine Learning for the Identification of Narcotics based on Raman Spectroscopy. Conference Paper [Details]
(2007) One-Class Support Vector Machine Calibration Using Particle Swarm Optimisation.
Liu, Y., Madden, M.G. (2007) One-Class Support Vector Machine Calibration Using Particle Swarm Optimisation. Conference Paper [ARAN Link] [Details]
(2006) An Evolutionary Approach to Automatic Kernel Construction.
Madden, M.G., Howley, T. (2006) An Evolutionary Approach to Automatic Kernel Construction. Conference Paper [ARAN Link] [Details]
(2005) Bayesian ANN Classifier for ECG Arrhythmia Diagnostic System: A Comparison Study.
Gao, D., Madden, M.G., Chambers, D., Lyons, G. (2005) Bayesian ANN Classifier for ECG Arrhythmia Diagnostic System: A Comparison Study. Conference Paper [ARAN Link] [Details]
(2005) The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data.
Howley, T., Madden, M.G., O'Connell, M.L., Ryder, A.G. (2005) The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data. Conference Paper [ARAN Link] [Details]
(2005) Context-Sensitive Regression Analysis for Distributed Data.
Xing, Y., Madden, M.G., Duggan, J., Lyons, G.J. (2005) Context-Sensitive Regression Analysis for Distributed Data. Conference Paper [Details]
(2005) Multi-Class and Single-Class Classification Approaches to Vehicle Model Recognition from Images.
Munroe, D., Madden, M.G. (2005) Multi-Class and Single-Class Classification Approaches to Vehicle Model Recognition from Images. Conference Paper [ARAN Link] [Details]
(2005) Neural Network Approach to Predicting Stock Exchange Movements using External Factors. Proceedings of AI-2005, 25th International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, Dec 2005.
Niall O'Connor and Michael G. Madden. (2005) Neural Network Approach to Predicting Stock Exchange Movements using External Factors. Proceedings of AI-2005, 25th International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, Dec 2005. Conference Paper [ARAN Link] [Details]
(2005) A Neural Network Approach to Predicting Stock Exchange Movements using External Factors.
O'Connor, N., Madden, M.G. (2005) A Neural Network Approach to Predicting Stock Exchange Movements using External Factors. Conference Paper [Details]
(2004) The Evolution of Probabilistic Reciprocity in a Multi-agent Environment with Neighbourhoods.
Ridge, E., Madden, M.G., Lyons, G. (2004) The Evolution of Probabilistic Reciprocity in a Multi-agent Environment with Neighbourhoods. Conference Paper [Details]
(2004) Arrhythmia Identification from ECG Signals with a Neural Network Classifier Based on a Bayesian Framework.
Gao, D., Madden, M.G., Schukat, M., Chambers, D., Lyons, G. (2004) Arrhythmia Identification from ECG Signals with a Neural Network Classifier Based on a Bayesian Framework. Conference Paper [ARAN Link] [Details]
(2004) Coalition Calculation in a Dynamic Agent Environment.
Scully, T., Madden, M.G., Lyons, G. (2004) Coalition Calculation in a Dynamic Agent Environment. Conference Paper [Details]
(2004) The Genetic Evolution of Kernels for Support Vector Machine Classifiers.
Madden, M.G., Howley, T. (2004) The Genetic Evolution of Kernels for Support Vector Machine Classifiers. Conference Paper [ARAN Link] [Details]
(2004) An Improved Genetic Programming Technique for Identification of Solvents from Raman Spectra.
Hennessy, K., Madden, M.G., Conroy, J., Ryder, A.G. (2004) An Improved Genetic Programming Technique for Identification of Solvents from Raman Spectra. Conference Paper [Details]
(2004) Combining Genetic Algorithms, Neural Networks and Wavelet Transforms for Analysis of Raman Spectra.
Hennessy, K., Madden, M.G., Ryder, A.G. (2004) Combining Genetic Algorithms, Neural Networks and Wavelet Transforms for Analysis of Raman Spectra. Conference Paper [Details]
(2003) The Performance of Bayesian Network Classifiers Constructed using Different Techniques.
Madden, M.G. (2003) The Performance of Bayesian Network Classifiers Constructed using Different Techniques. Conference Paper [Details]
(2003) Reciprocity in Open Agent Environments.
Ridge, E., Madden, M.G., O'Riordan, C., Lyons, G.J. (2003) Reciprocity in Open Agent Environments. Conference Paper [Details]
(2003) Experiments with Reinforcement Learning in Environments with Progressive Difficulty.
Madden, M.T., Howley, T. (2003) Experiments with Reinforcement Learning in Environments with Progressive Difficulty. Conference Paper [Details]
(2003) Context-Based Distributed Regression in Virtual Organizations.
Xing, Y., Madden, M.G., Duggan, J., Lyons, G.J. (2003) Context-Based Distributed Regression in Virtual Organizations. Conference Paper [Details]
(2003) Distributed Regression For Heterogeneous Data Sets.
Xing, Y., Madden, M.G., Duggan, J., Lyons, G.J. (2003) Distributed Regression For Heterogeneous Data Sets. Conference Paper [Details]
(2002) Student Attitudes to Learning the Java Language.
Madden, M.G., Chambers, D. (2002) Student Attitudes to Learning the Java Language. Conference Paper [Details]
(1998) A New Architecture for Flexible Shop Control Systems.
Teunis, G., Leitão, P., Madden, M.G. (1998) A New Architecture for Flexible Shop Control Systems. Conference Paper [Details]
(1998) Hierarchically Structured Inductive Learning for Fault Diagnosis.
Madden, M.G. (1998) Hierarchically Structured Inductive Learning for Fault Diagnosis. Conference Paper [Details]
(1997) Towards Distributed Computing and Decentralisation In Shop Control.
Madden, M.G., Winkler, M., Uusitalo, M. (1997) Towards Distributed Computing and Decentralisation In Shop Control. Conference Paper [Details]
(1995) Implementation of a Fault Tree Based Diagnosis System for Incipient Faults in Machine Tool Components.
Nolan, P.J., Muldoon, P., Madden, M.G., Lennon, D.M. (1995) Implementation of a Fault Tree Based Diagnosis System for Incipient Faults in Machine Tool Components. Conference Paper [Details]
(1995) Application of AI Based Reinforcement Learning to Robot Vehicle Control. APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING X.
Madden, M.G., Nolan, P.J. (1995) Application of AI Based Reinforcement Learning to Robot Vehicle Control. APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING X. Conference Paper [Details]
(1994) Generation of Fault Trees from Simulated Incipient Fault Case Data. APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING IX.
Madden, M.G., Nolan, P.J. (1994) Generation of Fault Trees from Simulated Incipient Fault Case Data. APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING IX. Conference Paper [Details]
(1994) Fault Diagnosis in Machine Tool Components. Part 1: Methodology and Hardware Description.
Nolan, P.J., Madden, M.G., Lennon, D.M. (1994) Fault Diagnosis in Machine Tool Components. Part 1: Methodology and Hardware Description. Conference Paper [Details]
(1994) Diagnosis using Fault Trees Induced from Simulated Incipient Fault Case Data.
Nolan, P.J., Madden, M.G., Muldoon, P. (1994) Diagnosis using Fault Trees Induced from Simulated Incipient Fault Case Data. Conference Paper [Details]

Editorial

  Year Publication
(2007) Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07).
Madden, MG,Delany, SJ (2007) Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07). Editorial [DOI] [Details]

Note

  Year Publication
(1981) CHRONIC PULMONARY HISTOPLASMOSIS IN AN IRISHMAN.
MADDEN, M,KENNEDY, JD,HITCHCOCK, HT,OBEIRN, D (1981) CHRONIC PULMONARY HISTOPLASMOSIS IN AN IRISHMAN. Note [Details]

Other Item

  Year Publication
(2010) Asymmetric lineage expansion underpins tumour drug resistance and clonogenicity of human osteosarcoma cells. Cold Spring Harbor Conference on Automated Imaging and High-Throughput Phenotyping.
Imtiaz A Khan (Broad Institute), M Rowan Brown (Swansea University), Anne Carpenter, Mark Bray and Carolina Wählby (Broad Institute), Paul J Smith (University of Cardiff), Ricardo Santiago-Mozos & Michael G. Madden (NUI Galway), Rachel J Errington (University of Cardiff) (2010) Asymmetric lineage expansion underpins tumour drug resistance and clonogenicity of human osteosarcoma cells. Cold Spring Harbor Conference on Automated Imaging and High-Throughput Phenotyping. Other Item [Details]
(2010) Derivation of DBN structure from expert knowledge in the form of systems of ODEs. Poster at Computing with Uncertainty Workshop.
Catherine G. Enright, Michael G. Madden & Niall Madden. (2010) Derivation of DBN structure from expert knowledge in the form of systems of ODEs. Poster at Computing with Uncertainty Workshop. Minnesota: Other Item [Details]

Reviews

  Year Publication
(2014) One-class classification: taxonomy of study and review of techniques.
Khan, SS,Madden, MG (2014) One-class classification: taxonomy of study and review of techniques. Reviews [DOI] [Details]

Workshops

  Year Publication
(2011) Numerical Solution of a Model for Glucose and Insulin Levels in Critically Ill Patients. Annual Meeting of the UK and Ireland Section of the Society for Industrial and Applied Mathematics.
Nhan Anh Thai, N. Madden, C.G. Enright, M.G. Madden, L. O'Callaghan and P.T. Piiroinen (2011) Numerical Solution of a Model for Glucose and Insulin Levels in Critically Ill Patients. Annual Meeting of the UK and Ireland Section of the Society for Industrial and Applied Mathematics. Workshops [Details]