Computer Science

Prof Michael Madden

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

Biography

Prof. Michael G. Madden is the Established Professor of Computer Science in the National University of Ireland Galway, and the Head of School of Computer Science.

Michael leads the Machine Learning Research Group that he set up in 2001. His research focuses on new theoretical advances in machine learning, motivated by addressing important data-driven applications in critical care medicine, civil security, and the physical sciences.

His research includes: (1) dynamic Bayesian networks (DBNs) for representing medical knowledge and combining it with patient data for improved ICU monitoring; (2) health monitoring using gene expression data; (3) DBNs with adaptive time steps; (4) Reinforcement Learning for robotics and non-player characters in games; (5) model-based learning from data streams; (6) deep learning with data augmentation from virtual environments.

He led the H2020 project ROCSAFE that combines deep learning, robot control, probabilistic reasoning, information retrieval and virtual reality, to keep crime scene investigators safe in dangerous environments and improve how they do their work. He previously founded a university spin-out company, AnalyzeIQ Ltd, that develops machine learning software for chemical data analysis, based on his research.

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
	(2022)	'A Heuristic Charging Cost Optimization Algorithm for Residential Charging of Electric Vehicles' Hussain, Shahid and Thakur, Subhasis and Shukla, Saurabh and Breslin, John G and Jan, Qasim and Khan, Faisal and Ahmad, Ibrar and Marzband, Mousa and Madden, Michael G (2022) 'A Heuristic Charging Cost Optimization Algorithm for Residential Charging of Electric Vehicles'. Energies, [DOI] [Details]
	(2018)	'A virtual environment with multi-robot navigation, analytics, and decision support for critical incident investigation' Smyth, David L and Fennell, James and Abinesh, Sai and Karimi, Nazli B and Glavin, Frank G and Ullah, Ihsan and Drury, Brett and Madden, Michael G (2018) 'A virtual environment with multi-robot navigation, analytics, and decision support for critical incident investigation'. arXiv preprint arXiv:1806.04497, [Details]
	(2021)	'Graph Convolutional Networks: analysis, improvements and results' Ullah, Ihsan and Manzo, Mario and Shah, Mitul and Madden, Michael G (2021) 'Graph Convolutional Networks: analysis, improvements and results'. Applied Intelligence, :1-12 [Details]
	(2020)	'A pedagogy of data and Artificial Intelligence for student subjectification' Loftus, M,Madden, MG (2020) 'A pedagogy of data and Artificial Intelligence for student subjectification'. Teaching in Higher Education, 25 :456-475 [DOI] [Details]
	(2020)	'A pedagogy of data and Artificial Intelligence for student subjectification' Loftus, M;Madden, MG (2020) 'A pedagogy of data and Artificial Intelligence for student subjectification'. Teaching in Higher Education, 25 :456-475 [DOI] [Details]
	(2015)	'Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning' Glavin, FG,Madden, MG (2015) 'Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning'. IEEE Transactions On Computational Intelligence And Ai In Games, 7 :180-192 [DOI] [Details]
	(2015)	'Improving Spectral Library Search by Redefining Similarity Measures' Garg, A,Enright, CG,Madden, MG (2015) 'Improving Spectral Library Search by Redefining Similarity Measures'. Journal Of Chemical Information And Modeling, 55 :963-971 [DOI] [Details]
	(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]
	(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]
	(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]
	(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]
	(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]
	(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]
	(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]
	(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
	(2018)	*Joint European Conference on Machine Learning and Knowledge Discovery in Databases* Ullah, Ihsan and Abinesh, Sai and Smyth, David L and Karimi, Nazli B and Drury, Brett and Glavin, Frank G and Madden, Michael G (2018) A virtual testbed for critical incident investigation with autonomous remote aerial vehicle surveying, artificial intelligence, and decision support Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pp.216-221 [Details]
	(2018)	*Joint European Conference on Machine Learning and Knowledge Discovery in Databases* Drury, Brett and Ullah, Ihsan and Madden, Michael G (2018) An information retrieval system for cbrne incidents Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pp.211-215 [Details]
	(2020)	*Annual International Conference on Information Management and Big Data* Ullah, Ihsan and Lane, Caoilfhionn and Buda, Teodora Sandra and Drury, Brett and Mellotte, Marc and Assem, Haytham and Madden, Michael G (2020) Classification of Cybercrime Indicators in Open Social Data Annual International Conference on Information Management and Big Data , pp.317-332 [Details]
	(2021)	*2020 25th International Conference on Pattern Recognition (ICPR)* Ullah, Ihsan and Reilly, Sean and Madden, Michael G (2021) Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons 2020 25th International Conference on Pattern Recognition (ICPR) , pp.5451-5458 [Details]
	(2015)	*2015 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND GAMES (CIG)* Glavin, FG,Madden, MG, (2015) Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning 2015 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND GAMES (CIG) , pp.344-351 [Details]
	(2015)	*MULTI-AGENT SYSTEMS (EUMAS 2014)* Scully, T,Madden, MG (2015) Forming Coalitions in Self-interested Multi-agent Environments Through the Promotion of Fair and Cooperative Behaviour MULTI-AGENT SYSTEMS (EUMAS 2014) , pp.144-158 [DOI] [Details]
	(2014)	*2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA)* Bounsiar, A,Madden, MG, (2014) Kernels for One-Class Support Vector Machines 2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA) [Details]
	(2014)	*2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA)* Bounsiar, A,Madden, MG, (2014) One-Class Support Vector Machines Revisited 2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA) [Details]
	(2012)	*2012 17TH INTERNATIONAL CONFERENCE ON COMPUTER GAMES (CGAMES)* Glavin, FG,Madden, MG (2012) DRE-Bot: A Hierarchical First Person Shooter Bot Using Multiple Sarsa(lambda) Reinforcement Learners 2012 17TH INTERNATIONAL CONFERENCE ON COMPUTER GAMES (CGAMES) , pp.148-152 [Details]
	(2010)	*ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE* Khan, SS,Madden, MG,Coyle, L,Freyne, J (2010) A Survey of Recent Trends in One Class Classification ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE , pp.188-197 [Details]
	(2010)	*18TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2010)* Bounsiar, A,Madden, MG,Kleijn, B,Larsen, J (2010) SUPPORT VECTOR ONE-CLASS CLASSIFICATION FOR MULTIPLE-DISTRIBUTION DATA 18TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2010) , pp.1189-1193 [Details]
	(2010)	*ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE* Glavin, FG,Madden, MG,Coyle, L,Freyne, J (2010) Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE , pp.124-133 [Details]
	(2009)	*RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXV* Madden, MG,Bramer, M,Coenen, F,Petridis, M (2009) On the Classification Performance of TAN and General Bayesian Networks RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXV , pp.3-16 [Details]
	(2009)	*APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVI* Madden, MG,Howley, T,Allen, T,Ellis, R,Petridis, M (2009) A Machine Learning Application for Classification of Chemical Spectra APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVI , pp.77-90 [Details]
	(2008)	*Demo Session, AICS-2008: 19th Irish Conference on Artificial Intelligence and Cognitive Science* 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]
	(2006)	*Applications and Innovations in Intelligent Systems XIII* Howley, T,Madden, MG,O'Connell, ML,Ryder, AG,Macintosh, A,Ellis, R,Allen, T (2006) The effect of principal component analysis on machine learning accuracy with high dimensional spectral data Applications and Innovations in Intelligent Systems XIII , pp.209-222 [Details]
	(2005)	*APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XII, PROCEEDINGS* Hennessy, K,Madden, MG,Conroy, J,Ryder, AG,Macintosh, A,Ellis, R,Allen, T (2005) An improved genetic programming technique for the classification of Raman spectra APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XII, PROCEEDINGS , pp.181-192 [Details]
	(2005)	*Opto-Ireland 2005: Optical Sensing and Spectroscopy* O'Connell, ML,Howley, T,Ryder, AG,Leger, MN,Madden, MG,Byrne, HJ,Lewis, E,MacCraith, BD,McGlynn, E,McLaughlin, JA,OSullivan, GD,Ryder, AG,Walsh, JE (2005) Classification of a target analyte in solid mixtures using principal component analysis, support vector machines and Raman spectroscopy Opto-Ireland 2005: Optical Sensing and Spectroscopy , pp.340-350 [DOI] [Details]
	(2005)	*32nd FACSS Conference, Federation of Analytical Chemistry and Spectroscopy Societies* 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]
	(2005)	*Proceedings of SPIE, the International Society for Optical Engineering* 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 , pp.131-142 [ARAN Link] [Details]
	(2005)	*Proceedings of SPIE, the International Society for Optical Engineering* 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 , pp.340-350 [ARAN Link] [Details]
	(2005)	*32nd FACSS Conference, Federation of Analytical Chemistry and Spectroscopy Societies* 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]
	(2005)	*Opto-Ireland 2005: Optical Sensing and Spectroscopy* Conroy, J,Ryder, AG,Leger, MN,Hennessey, K,Madden, MG,Byrne, HJ,Lewis, E,MacCraith, BD,McGlynn, E,McLaughlin, JA,OSullivan, GD,Ryder, AG,Walsh, JE (2005) Qualitative and quantitative analysis of chlorinated solvents using Raman spectroscopy and machine learning Opto-Ireland 2005: Optical Sensing and Spectroscopy , pp.131-142 [DOI] [Details]
	(2003)	*OPTO-IRELAND 2002: OPTICS AND PHOTONICS TECHNOLOGIES AND APPLICATIONS, PTS 1 AND 2* Madden, MG,Ryder, AG,Blau, WJ,Donegan, JF,Duke, AF,MacCraith, JA,McMillan, ND,OConnor, GM,OMongain, E,Toal, V,McLaughlin, JA (2003) Machine learning methods for quantitative analysis of Raman spectroscopy data OPTO-IRELAND 2002: OPTICS AND PHOTONICS TECHNOLOGIES AND APPLICATIONS, PTS 1 AND 2 , pp.1130-1139 [Details]
	(1994)	*APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING IX* MADDEN, MG,NOLAN, PJ,Rzevski, G,Adey, RA,Russell, DW (1994) GENERATION OF FAULT-TREES FROM SIMULATED INCIPIENT FAULT CASE DATA APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING IX , pp.567-574 [Details]
	(1994)	*SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS ENGINEERING* NOLAN, PJ,MADDEN, MG,MULDOON, P,INST ELECT ENGINEERS (1994) DIAGNOSIS USING FAULT TREES INDUCED FROM SIMULATED INCIPIENT FAULT CASE DATA SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS ENGINEERING , pp.304-309 [Details]
	(2019)	*Proc. International Cross-Domain Conference for Machine Learning and Knowledge Extraction CD-MAKE 2019* Verma, G,Jha, A,Rebholz-Schuhmann, D,Madden, MG,Holzinger, A,Kieseberg, P,Tjoa, AM,Weippl, E (2019) Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification Proc. International Cross-Domain Conference for Machine Learning and Knowledge Extraction CD-MAKE 2019 , pp.147-167 [DOI] [Details]
	(1994)	*APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING IX* MADDEN, MG;NOLAN, PJ (1994) GENERATION OF FAULT-TREES FROM SIMULATED INCIPIENT FAULT CASE DATA APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING IX , pp.567-574 [Details]
	(1994)	*SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS ENGINEERING* NOLAN, PJ;MADDEN, MG;MULDOON, P (1994) DIAGNOSIS USING FAULT TREES INDUCED FROM SIMULATED INCIPIENT FAULT CASE DATA SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS ENGINEERING , pp.304-309 [Details]
	(2002)	*ARFIFICIAL INTELLIGENCE AND COGNITIVE SICENCE, PROCEEDINGS* Madden, MG (2002) A new Bayesian network structure for classification tasks ARFIFICIAL INTELLIGENCE AND COGNITIVE SICENCE, PROCEEDINGS , pp.203-208 [Details]
	(2003)	*ADVANCES IN INTELLIGENT DATA ANALYSIS V* Xing, Y;Madden, MG;Duggan, J;Lyons, GJ (2003) Distributed regression for heterogeneous data sets ADVANCES IN INTELLIGENT DATA ANALYSIS V , pp.544-553 [Details]
	(2003)	*OPTO-IRELAND 2002: OPTICS AND PHOTONICS TECHNOLOGIES AND APPLICATIONS, PTS 1 AND 2* Madden, MG;Ryder, AG (2003) Machine learning methods for quantitative analysis of Raman spectroscopy data OPTO-IRELAND 2002: OPTICS AND PHOTONICS TECHNOLOGIES AND APPLICATIONS, PTS 1 AND 2 , pp.1130-1139 [Details]
	(2004)	*COOPERATIVE INFORMATION AGENTS VIII, PROCEEDINGS* Ridge, E;Madden, MG;Lyons, GJ (2004) The evolution of probabilistic reciprocity in a multi-agent environment with neighborhoods COOPERATIVE INFORMATION AGENTS VIII, PROCEEDINGS , pp.123-136 [Details]
	(2004)	*ARTIFICIAL INTELLIGENCE REVIEW* Madden, MG;Howley, T (2004) Transfer of experience between reinforcement learning environments with progressive difficulty ARTIFICIAL INTELLIGENCE REVIEW , pp.375-398 [Details]
	(2005)	*ARTIFICIAL INTELLIGENCE REVIEW* Howley, T;Madden, MG (2005) The genetic kernel support vector machine: Description and evaluation ARTIFICIAL INTELLIGENCE REVIEW , pp.379-395 [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)	*ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS* Xing, Y;Madden, MG;Duggan, J;Lyons, GJ (2005) Context-sensitive regression analysis for distributed data ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS , pp.292-299 [Details]
	(2005)	*APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XII, PROCEEDINGS* Hennessy, K;Madden, MG;Conroy, J;Ryder, AG (2005) An improved genetic programming technique for the classification of Raman spectra APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XII, PROCEEDINGS , pp.181-192 [Details]
	(2006)	*APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XIII* O'Connor, N;Madden, MG (2006) A neural network approach to predicting stock exchange movements using external factors APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XIII [Details]
	(2006)	*ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 2* Howley, T;Madden, MG (2006) An evolutionary approach to automatic kernel construction ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 2 , pp.417-426 [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]
	(2006)	*KNOWLEDGE-BASED SYSTEMS* O'Connor, N;Madden, MG (2006) A neural network approach to predicting stock exchange movements using external factors KNOWLEDGE-BASED SYSTEMS , pp.371-378 [DOI] [Details]
	(2009)	*APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVI* Madden, MG;Howley, T (2009) A Machine Learning Application for Classification of Chemical Spectra APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVI [Details]
	(2009)	*RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXV* Madden, MG (2009) On the Classification Performance of TAN and General Bayesian Networks RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXV , pp.3-16 [Details]
	(2010)	*ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE* Khan, SS;Madden, MG (2010) A Survey of Recent Trends in One Class Classification ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE , pp.188-197 [Details]
	(2010)	*18TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2010)* Bounsiar, A;Madden, MG (2010) SUPPORT VECTOR ONE-CLASS CLASSIFICATION FOR MULTIPLE-DISTRIBUTION DATA 18TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2010) , pp.1189-1193 [Details]
	(2010)	*ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE* Glavin, FG;Madden, MG (2010) Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE , pp.124-133 [Details]
	(2010)	*BIOSIGNALS 2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING* Enright, CG;Madden, MG;Russell, S;Aleks, N;Manley, G;Laffey, J;Harte, B;Mulvey, A;Madden, N (2010) MODELLING GLYCAEMIA IN ICU PATIENTS A Dynamic Bayesian Network Approach BIOSIGNALS 2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING , pp.452-459 [Details]
	(2011)	*Incorporating Reinforcement Learning into the Creation of Human-Like Autonomous Agents in First Person Shooter Games* Glavin, FG,Madden, MG,ORiordan, C,Redfern, S,Butler V,Costello, F (2011) GAME-ON 2011: 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT GAMES AND SIMULATION Incorporating Reinforcement Learning into the Creation of Human-Like Autonomous Agents in First Person Shooter Games , pp.16-21 [Details]
	(2011)	*An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition* McGlynn, D,Madden, MG,Bramer, M,Petridis, M,Hopgood, A (2011) RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXVII: INCORPORATING APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVIII An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition , pp.339-352 [DOI] [Details]
	(2011)	*GAME-ON 2011: 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT GAMES AND SIMULATION* Glavin, FG;Madden, MG (2011) Incorporating Reinforcement Learning into the Creation of Human-Like Autonomous Agents in First Person Shooter Games GAME-ON 2011: 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT GAMES AND SIMULATION , pp.16-21 [Details]
	(2012)	*2012 17TH INTERNATIONAL CONFERENCE ON COMPUTER GAMES (CGAMES)* Glavin, FG;Madden, MG (2012) DRE-Bot: A Hierarchical First Person Shooter Bot Using Multiple Sarsa(lambda) Reinforcement Learners 2012 17TH INTERNATIONAL CONFERENCE ON COMPUTER GAMES (CGAMES) , pp.148-152 [Details]
	(2014)	*2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA)* Bounsiar, A;Madden, MG (2014) Kernels for One-Class Support Vector Machines 2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA) [Details]
	(2014)	*2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA)* Bounsiar, A;Madden, MG (2014) One-Class Support Vector Machines Revisited 2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA) [Details]
	(2015)	*On Asymmetric Similarity Search* Garg, A,Enright, CG,Madden, MG, (2015) 2015 IEEE 14TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA) On Asymmetric Similarity Search , pp.649-654 [DOI] [Details]
	(2015)	*A Bayesian Classification Approach to Improving Performance for a Real-World Sales Forecasting Application* Gallagher, C,Madden, MG,D'Arcy, B, (2015) 2015 IEEE 14TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA) A Bayesian Classification Approach to Improving Performance for a Real-World Sales Forecasting Application , pp.475-480 [DOI] [Details]
	(2015)	*2015 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND GAMES (CIG)* Glavin, FG;Madden, MG (2015) Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning 2015 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND GAMES (CIG) , pp.344-351 [Details]
	(2017)	*Conference on Artificial Intelligence in Medicine in Europe* O’Neill, James and Madden, Michael G and Dolan, Eamon (2017) Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements Conference on Artificial Intelligence in Medicine in Europe , pp.86-91 [ARAN Link] [Details]
	(2017)	*Facilitating Multi-agent Coalition Formation in Self-interested Environments* Scully, T,Madden, MG,VanDenHerik, J,Filipe, J (2017) AGENTS AND ARTIFICIAL INTELLIGENCE, ICAART 2016 Facilitating Multi-agent Coalition Formation in Self-interested Environments , pp.265-282 [DOI] [Details]
	(2017)	*Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements* O'Neill, J,Madden, MG,Dolan, E,TenTeije, A,Popow, C,Holmes, JH,Sacchi, L (2017) ARTIFICIAL INTELLIGENCE IN MEDICINE, AIME 2017 Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements , pp.86-91 [DOI] [Details]
	(2018)	*Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones* Smyth, DL,Glavin, FG,Madden, MG, (2018) 2018 IEEE GAMES, ENTERTAINMENT, MEDIA CONFERENCE (GEM) Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones , pp.436-440 [Details]
	(2018)	*13th International Conference on Data Integration in the Life Sciences 2018 (DILS2018)* Verma, Ghanshyam; Jha, Alokkumar; Rebholz-Schuhmann, Dietrich; Madden, Michael G. (2018) Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation 13th International Conference on Data Integration in the Life Sciences 2018 (DILS2018) , pp.105-121 [DOI] [Details]
	(2018)	*2018 IEEE GAMES, ENTERTAINMENT, MEDIA CONFERENCE (GEM)* Smyth, DL;Glavin, FG;Madden, MG (2018) Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones 2018 IEEE GAMES, ENTERTAINMENT, MEDIA CONFERENCE (GEM) , pp.436-440 [Details]
	(2011)	*Proc. 13th Conference on Artificial Intelligence in Medicine* Catherine G. Enright; Michael G. Madden; Niall Madden; John G. Laffey (2011) Clinical Time Series Data Analysis Using Mathematical Models and DBNs . In: Mor Peleg and Nada Lavrac and Carlo Combi eds. Proc. 13th Conference on Artificial Intelligence in Medicine Slovenia, , pp.159-168 [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)	*ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 2* Howley, T,Madden, MG (2006) An evolutionary approach to automatic kernel construction ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 2 , pp.417-426 [Details]
	(2006)	*KNOWLEDGE-BASED SYSTEMS* O'Connor, N,Madden, MG (2006) A neural network approach to predicting stock exchange movements using external factors KNOWLEDGE-BASED SYSTEMS , 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)	*ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS* Xing, Y,Madden, MG,Duggan, J,Lyons, GJ (2005) Context-sensitive regression analysis for distributed data ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS , pp.292-299 [Details]
	(2005)	*ARTIFICIAL INTELLIGENCE REVIEW* Howley, T,Madden, MG (2005) The genetic kernel support vector machine: Description and evaluation ARTIFICIAL INTELLIGENCE REVIEW , pp.379-395 [DOI] [Details]
	(2004)	*COOPERATIVE INFORMATION AGENTS VIII, PROCEEDINGS* Ridge, E,Madden, MG,Lyons, GJ (2004) The evolution of probabilistic reciprocity in a multi-agent environment with neighborhoods COOPERATIVE INFORMATION AGENTS VIII, PROCEEDINGS , pp.123-136 [Details]
	(2003)	*ADVANCES IN INTELLIGENT DATA ANALYSIS V* Xing, Y,Madden, MG,Duggan, J,Lyons, GJ (2003) Distributed regression for heterogeneous data sets ADVANCES IN INTELLIGENT DATA ANALYSIS V , pp.544-553 [Details]
	(2002)	*ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE, PROCEEDINGS* Madden, MG (2002) A new Bayesian network structure for classification tasks ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE, PROCEEDINGS , 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
	(2020)	Machine Learning Classifier Models: The Future for Acute Respiratory Distress Syndrome Phenotyping?. McNicholas, B;Madden, MG;Laffey, JG (2020) Machine Learning Classifier Models: The Future for Acute Respiratory Distress Syndrome Phenotyping?. NEW YORK: AMER THORACIC SOC Editorial [DOI] [Details]
	(2020)	Machine Learning Classifier Models: The Future for Acute Respiratory Distress Syndrome Phenotyping?. McNicholas, B,Madden, MG,Laffey, JG (2020) Machine Learning Classifier Models: The Future for Acute Respiratory Distress Syndrome Phenotyping?. Editorial [DOI] [Details]
	(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). DORDRECHT: SPRINGER Editorial [DOI] [Details]
	(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]