Dr. Michael Madden B.E., Ph.D., M.I.E.I.
Contact Details
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Biography:
| Michael G. Madden is a Senior Lecturer and the Head of 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:
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Book Chapters
| Madden, M.G., Chambers, D. (2003) 'Evaluation of Student Attitudes to Learning the Java Language' In: Power, J.F.; Waldron, J.T (eds). Recent Advances in Java Technology. Computer Science Press. [Details] |
| Michael, G., Madden, M.G. (2006) 'Keeping Your Computers Secure' In: Lenihan, F (eds). Computers in Psychiatry. Gaskell; Royal College of Psychiatrists. [Details] |
Peer Reviewed Journals
| Madden, M. G. & Nolan, P. J. (1999) 'Monitoring and Diagnosis of Multiple Incipient Faults Using Fault Tree Induction'. IEE Proceedings - Control Theory and Applications Journal, 146 (2):204-212. [Details] |
| Howley, T. & Madden, M. G. (2004) 'Transfer of Experience between Reinforcement Learning Environments with Progressive Difficulty'. Artificial Intelligence Review, 21 (3):375-398. [Details] |
| Howley, T., Madden, M.G. (2005) 'The Genetic Kernel Support Vector Machine: Description and Evaluation'. Artificial Intelligence Review, 24 (03-Apr). [Details] |
| 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] |
| 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'. 19 (4). [ARAN Link] [Details] |
| 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] |
| Madden, MG (2009) 'On the classification performance of TAN and general Bayesian networks'. Knowledge-Based Systems, 22 :489-495. [DOI] [Details] |
| Michael G. Madden. (2009) 'On the Classification Performance of TAN and General Bayesian Networks'. Knowledge Based Systems, 2009, . [ARAN Link] [Details] |
| 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] |
| 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] |
Other Journals
| 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] |
| 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] |
| 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 . [Details] |
| 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] |
| Conroy, J., Ryder, A.G., Leger, M.N., Hennessy, K., Madden, M.G. (2005) 'Qualitative and Quantitative Analysis of Chlorinated Solvents using Raman Spectroscopy and Machine Learning' Proceedings of SPIE, the International Society for Optical Engineering 5826 :131-142. [ARAN Link] [Details] |
| Leger, M. N., Ryder, A. G. and Madden, M. G. (2005) 'Applicability of Raman Spectroscopy for Detection and Identification of Illicit Materials in Complex Solid Mixtures' 32nd FACSS Conference, Federation of Analytical Chemistry and Spectroscopy Societies . [Details] |
| Leger, M.N., O'Connell, M.L., Ryder, A.G., Hennessey, K., Madden, M.G. (2005) 'Classification and Quantification of a Pharmaceutical Analyte in Solid Mixtures with Raman Spectroscopy' 32nd FACSS Conference, Federation of Analytical Chemistry and Spectroscopy Societies . [Details] |
| O'Connell, M.L., Howley, T., Ryder, A.G., Leger M.N., Madden, M.G. (2005) 'Classification of a Target Analyte in Solid Mixtures using Principal Component Analysis, Support Vector Machines and Raman Spectroscopy' Proceedings of SPIE, the International Society for Optical Engineering 5826 :340-350. [ARAN Link] [Details] |
| Madden, M.G., Howley, T. (2008) 'Analyze IQ Lab Software: A Package for Analysis of Chemical Spectra Based on Machine Learning' Demo Session, AICS-2008: 19th Irish Conference on Artificial Intelligence and Cognitive Science . [Details] |
Conference Publications
| MADDEN, MG et al. (2002) A new Bayesian network structure for classification tasks ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE, PROCEEDINGS , pp.203-208 [Details] |
| 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] |
| 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] |
| 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, [Details] |
| 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] |
| 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] |
| 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] |
| 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] |
| 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] |
| 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] |
| 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] |
| 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] |
| 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] |
| 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] |
| 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] |
| 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] |
Conference Paper
| Nolan, P.J., Madden, M.G., Muldoon, P. (1994) Diagnosis using Fault Trees Induced from Simulated Incipient Fault Case Data. Conference Paper [Details] |
| 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] |
| 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] |
| 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] |
| 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] |
| Madden, M.G., Winkler, M., Uusitalo, M. (1997) Towards Distributed Computing and Decentralisation In Shop Control. Conference Paper [Details] |
| Madden, M.G. (1998) Hierarchically Structured Inductive Learning for Fault Diagnosis. Conference Paper [Details] |
| Teunis, G., Leitão, P., Madden, M.G. (1998) A New Architecture for Flexible Shop Control Systems. Conference Paper [Details] |
| Madden, M.G., Chambers, D. (2002) Student Attitudes to Learning the Java Language. Conference Paper [Details] |
| Xing, Y., Madden, M.G., Duggan, J., Lyons, G.J. (2003) Distributed Regression For Heterogeneous Data Sets. Conference Paper [Details] |
| Xing, Y., Madden, M.G., Duggan, J., Lyons, G.J. (2003) Context-Based Distributed Regression in Virtual Organizations. Conference Paper [Details] |
| Madden, M.T., Howley, T. (2003) Experiments with Reinforcement Learning in Environments with Progressive Difficulty. Conference Paper [Details] |
| Ridge, E., Madden, M.G., O'Riordan, C., Lyons, G.J. (2003) Reciprocity in Open Agent Environments. Conference Paper [Details] |
| Madden, M.G. (2003) The Performance of Bayesian Network Classifiers Constructed using Different Techniques. Conference Paper [Details] |
| 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] |
| 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] |
| Madden, M.G., Howley, T. (2004) The Genetic Evolution of Kernels for Support Vector Machine Classifiers. Conference Paper [ARAN Link] [Details] |
| Scully, T., Madden, M.G., Lyons, G. (2004) Coalition Calculation in a Dynamic Agent Environment. Conference Paper [Details] |
| 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] |
| Ridge, E., Madden, M.G., Lyons, G. (2004) The Evolution of Probabilistic Reciprocity in a Multi-agent Environment with Neighbourhoods. Conference Paper [Details] |
| O'Connor, N., Madden, M.G. (2005) A Neural Network Approach to Predicting Stock Exchange Movements using External Factors. Conference Paper [Details] |
| 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] |
| Munroe, D., Madden, M.G. (2005) Multi-Class and Single-Class Classification Approaches to Vehicle Model Recognition from Images. Conference Paper [ARAN Link] [Details] |
| Xing, Y., Madden, M.G., Duggan, J., Lyons, G.J. (2005) Context-Sensitive Regression Analysis for Distributed Data. Conference Paper [Details] |
| 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] |
| 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] |
| Madden, M.G., Howley, T. (2006) An Evolutionary Approach to Automatic Kernel Construction. Conference Paper [ARAN Link] [Details] |
| Liu, Y., Madden, M.G. (2007) One-Class Support Vector Machine Calibration Using Particle Swarm Optimisation. Conference Paper [ARAN Link] [Details] |
| 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] |
| Madden, M.G., Howley, T. (2007) The Evolution of a Kernel-Based Distance Metric for k-NN Regression. Conference Paper [ARAN Link] [Details] |
| 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] |
| Madden, M.G., Lyons, W., Kavanagh, I. (2008) A Data-Driven Exploration of Factors Affecting Student Performance in a Third-Level Institution. Conference Paper [Details] |
| 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] |
| Madden, M. G. (2008) On the Classification Performance of TAN and General Bayesian Networks. Conference Paper [ARAN Link] [Details] |
| Madden, M. G. & Howley, T. (2008) A Machine Learning Application for Classification of Chemical Spectra. Conference Paper [ARAN Link] [Details] |
| 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] |
Editorial
| Madden, MG,Delany, SJ (2007) Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07). Editorial [DOI] [Details] |
Other Item
| MADDEN, M et al. (1981) CHRONIC PULMONARY HISTOPLASMOSIS IN AN IRISHMAN. THORAX. Other Item [Details] |
| 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] |
| 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] |
Workshops
| 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] |