Michael G. Madden

发表

An Improved Genetic Programming Technique for the Classification of Raman Spectra

Kenneth Hennessy, Michael G. Madden, Jennifer Conroy, 2004, SGAI Conf..

Modelling Glycaemia in ICU Patients - A Dynamic Bayesian Network Approach

Stuart J. Russell, Michael G. Madden, Catherine G. Enright, 2010, BIOSIGNALS.

Comparison of manual and automated simulation generation approaches and their use for construction applications

Perakath C. Benjamin, Gunnar Lucko, Michael G. Madden, 2010, Proceedings of the 2010 Winter Simulation Conference.

An Automated Screening System for Tuberculosis

Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Michael G. Madden, 2014, IEEE Journal of Biomedical and Health Informatics.

ANN-based Diagnostic System for Arrhythmia with ECG Signals

Michael G. Madden, Michael Schukat, Dayong Gao, 2005, Artificial Intelligence and Applications.

On the classification performance of TAN and general Bayesian networks

Michael G. Madden, M. G. Madden, 2008, Knowl. Based Syst..

The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data

Michael G. Madden, Alan G. Ryder, Tom Howley, 2005, SGAI Conf..

Promoting Cooperation and Fairness in Self-interested Multi-Agent Systems

Michael G. Madden, Ted Scully, 2016, ICAART.

One-class classification: taxonomy of study and review of techniques pdf

Shehroz S. Khan, Michael G. Madden, M. G. Madden, 2013, The Knowledge Engineering Review.

Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data pdf

Michael G. Madden, Frank G. Glavin, 2009, AICS.

Refined learning of hidden Markov models with a modified Baum-Welch algorithm and informative components

Yan Liu, Michael G. Madden, Mei Chen, 2010, 2010 IEEE International Conference on Progress in Informatics and Computing.

Context-Sensitive Regression Analysis for Distributed Data

Yan Xing, Michael G. Madden, Jim Duggan, 2005, ADMA.

Bayesian networks for mathematical models: Techniques for automatic construction and efficient inference

Michael G. Madden, Catherine G. Enright, Niall Madden, 2013, Int. J. Approx. Reason..

A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation

Ihsan Ullah, Brett Drury, Michael G. Madden, 2018, IJCAI.

Monitoring and diagnosis of multiple incipient faults using fault tree induction

Michael G. Madden, P. J. Nolan, 1999 .

Is Topotecan Effective at Killing Cancer Cells?

Michael G. Madden, Ricardo Santiago-Mozos, Imtiaz A. Khan, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Context-based Distributed Regression in Virtual Organizations

Michael G. Madden, Jim Duggan, M. G. Madden, 2003 .

Evaluation of student attitudes to learning the Java language

Michael G. Madden, Desmond Chambers, 2002, PPPJ/IRE.

A neural network approach to predicting stock exchange movements using external factors

Michael G. Madden, M. G. Madden, Niall O'Connor, 2005, Knowl. Based Syst..

Modelling and Monitoring the Individual Patient in Real Time

Michael G. Madden, Catherine G. Enright, 2015, Foundations of Biomedical Knowledge Representation.

Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning

Michael G. Madden, M. G. Madden, Frank G. Glavin, 2018, 2018 IEEE Conference on Computational Intelligence and Games (CIG).

Revealing the Origin and Nature of Drug Resistance of Dynamic Tumour Systems

Michael G. Madden, Ricardo Santiago-Mozos, Imtiaz A. Khan, 2010, Int. J. Knowl. Discov. Bioinform..

Arrhythmia Identification from ECG Signals with a Neural Network Classifier Based on a Bayesian Framework

Michael G. Madden, Michael Schukat, Des Chambers, 2004 .

Multi-Class and Single-Class Classification Approaches to Vehicle Model Recognition from Images

Michael G. Madden, M. G. Madden, Daniel T. Munroe, 2005 .

A Survey of Recent Trends in One Class Classification

Shehroz S. Khan, Michael G. Madden, M. G. Madden, 2009, AICS.

A Multi-Agent System for Context-based Distributed Data Mining

Michael G. Madden, Jim Duggan, M. G. Madden, 2003 .

A Data-Driven Exploration of Factors Affecting Student Performance in a Third-Level Institution

Michael G. Madden, William Lyons, Ita Kavanagh, 2008 .

Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation

Dietrich Rebholz-Schuhmann, Michael G. Madden, M. G. Madden, 2018, DILS.

A Machine Learning Application for Classification of Chemical Spectra

Michael G. Madden, M. G. Madden, Tom Howley, 2008, SGAI Conf..

Forming Coalitions in Self-interested Multi-agent Environments Through the Promotion of Fair and Cooperative Behaviour

Michael G. Madden, M. G. Madden, Ted Scully, 2014, EUMAS.

Learning Curve Application to Space Shuttle Processing Simulations

Michael G. Madden, 2006, Proceedings of the 2006 Winter Simulation Conference.

Facilitating Multi-agent Coalition Formation in Self-interested Environments

Michael G. Madden, Ted Scully, 2016, ICAART.

Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones

Michael G. Madden, Frank G. Glavin, David L. Smyth, 2018, 2018 IEEE Games, Entertainment, Media Conference (GEM).

On Asymmetric Similarity Search

Michael G. Madden, Catherine G. Enright, M. G. Madden, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Rapid deployment of simulation models for building construction applications

Perakath C. Benjamin, Gunnar Lucko, Michael G. Madden, 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification

Dietrich Rebholz-Schuhmann, Michael G. Madden, M. G. Madden, 2019, CD-MAKE.

One-Class Support Vector Machines Revisited

Michael G. Madden, M. G. Madden, Abdenour Bounsiar, 2014, 2014 International Conference on Information Science & Applications (ICISA).

Distributed Regression for Heterogeneous Data Sets

Yan Xing, Michael G. Madden, Jim Duggan, 2003, IDA.

DRE-Bot: A hierarchical First Person Shooter bot using multiple Sarsa(λ) reinforcement learners

Michael G. Madden, M. G. Madden, Frank G. Glavin, 2012, 2012 17th International Conference on Computer Games (CGAMES).

Coalition calculation in a dynamic agent environment

Michael G. Madden, M. G. Madden, Gerard Lyons, 2004, ICML.

The Evolution of Probabilistic Reciprocity in a Multi-agent Environment with Neighborhoods

Michael G. Madden, M. G. Madden, Enda Ridge, 2004, CIA.

Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements

Michael G. Madden, James O'Neill, Eamon Dolan, 2017, AIME.

Diagnosis using fault trees induced from simulated incipient fault case data

Michael G. Madden, M. G. Madden, P. J. Nolan, 1994 .

NUI Galway - UL Alliance First Annual Engineering and Informatics Research Day - Book of Abstracts

Michael G. Madden, Peter Corcoran, Marcus Keane, 2011 .

Application Of AI Based Reinforcement LearningTo Robot Vehicle Control

Michael G. Madden, M. G. Madden, P. J. Nolan, 1970 .

Kernels for One-Class Support Vector Machines

Michael G. Madden, M. G. Madden, Abdenour Bounsiar, 2014, 2014 International Conference on Information Science & Applications (ICISA).

Probabilistic modeling of sensor artifacts in critical care

Stuart J. Russell, Michael G. Madden, Norm Aleks, 2008 .

On the Classification Performance of TAN and General Bayesian Networks

Michael G. Madden, 2008, SGAI Conf..

Qualitative and quantitative analysis of chlorinated solvents using Raman spectroscopy and machine learning

Michael G. Madden, Alan G. Ryder, M. G. Madden, 2005, SPIE OPTO-Ireland.

An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition

Michael G. Madden, David McGlynn, 2010, SGAI Conf..

A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support pdf

Ihsan Ullah, Brett Drury, Michael G. Madden, 2018, Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML.

The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data

Michael G. Madden, Alan G. Ryder, M. G. Madden, 2005, Knowl. Based Syst..

Clinical Time Series Data Analysis Using Mathematical Models and DBNs

Michael G. Madden, Catherine G. Enright, John G. Laffey, 2011, AIME.

Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07)

Sarah Jane Delany, Michael G. Madden, 2008, Artificial Intelligence Review.

An Evolutionary Approach to Automatic Kernel Construction

Michael G. Madden, M. G. Madden, Tom Howley, 2006, ICANN.

A Neural Network Approach to Predicting Stock Exchange Movements using External Factors

Michael G. Madden, Niall O'Connor, 2005, SGAI Conf..

Harnessing the power of simulation in the project management / decision support aspects of the construction industry

Perakath C. Benjamin, Gunnar Lucko, Michael G. Madden, 2008, 2008 Winter Simulation Conference.

Evaluation of the Performance of the Markov Blanket Bayesian Classifier Algorithm

Michael G. Madden, 2002, ArXiv.

An improved genetic programming technique for the classification of Raman spectra

Kenneth Hennessy, Michael G. Madden, Jennifer Conroy, 2004, Knowl. Based Syst..

Application of AI based reinforcement learning

Michael G. Madden, M. Madden, 1995 .

Improving Spectral Library Search by Redefining Similarity Measures

Michael G. Madden, Catherine G. Enright, M. G. Madden, 2015, J. Chem. Inf. Model..

Probabilistic detection of short events, with application to critical care monitoring

Stuart J. Russell, Michael G. Madden, Norm Aleks, 2008, NIPS.

Learning to shoot in first person shooter games by stabilizing actions and clustering rewards for reinforcement learning

Michael G. Madden, M. G. Madden, Frank G. Glavin, 2015, 2015 IEEE Conference on Computational Intelligence and Games (CIG).

Classification of a target analyte in solid mixtures using principal component analysis, support vector machines, and Raman spectroscopy

Michael G. Madden, Alan G. Ryder, M. G. Madden, 2005, SPIE OPTO-Ireland.

An Information Retrieval System for CBRNe Incidents

Ihsan Ullah, Brett Drury, Michael G. Madden, 2018, Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML.

Transfer of Experience Between Reinforcement Learning Environments with Progressive Difficulty

Michael G. Madden, M. G. Madden, Tom Howley, 2004, Artificial Intelligence Review.

Open social data crime analytics

Brett Drury, Michael G. Madden, Ullah Ihsan, 2017 .

Monitoring in the Healthcare Setting

Federico Chesani, Marco Montali, Michael G. Madden, 2015, Foundations of Biomedical Knowledge Representation.

One-Class Support Vector Machine Calibration Using Particle Swarm Optimisation

Yang Liu, Michael G. Madden, 2007 .

Proceedings of the 18th Irish Conference on Artificial Intelligence and Cognitive Science

Sarah Jane Delany, Michael G. Madden, 2009 .

The Genetic Kernel Support Vector Machine: Description and Evaluation

Michael G. Madden, M. G. Madden, Tom Howley, 2005, Artificial Intelligence Review.

Support vector one-class classification for multiple-distribution data

Michael G. Madden, Abdenour Bounsiar, M. Madden, 2010, 2010 18th European Signal Processing Conference.

DRE-Bot: A Hierarchical First Person Shooter Bot Using Multiple Sarsa({\lambda}) Reinforcement Learners

Michael G. Madden, Frank G. Glavin, 2018 .

Hierarchically Structured Inductive LearningFor Fault Diagnosis

Michael G. Madden, 1970 .

About the authors

Sarah Jane Delany, Michael G. Madden, M. G. Madden, 2008, Artificial Intelligence Review.

AC 2007-1807: SPATIALLY RECURSIVE SPREADSHEET COMPUTATIONS: TEACHING THE CRITICAL PATH METHOD OF SCHEDULING USING TWO-DIMENSIONAL FUNCTION RANGES VERSUS TRADITIONAL ONE-DIMENSIONAL OBJECT-ORIENTED PROGRAMMING

Gunnar Lucko, Michael G. Madden, Justin Molineaux, 2007 .

Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning

Michael G. Madden, M. G. Madden, Frank G. Glavin, 2015, IEEE Transactions on Computational Intelligence and AI in Games.

NUI Galway - UL Alliance Engineering, Informatics and Science Research Day 2013 - Book of Abstracts

Michael G. Madden, M. G. Madden, Conchúr M. Ó Brádaigh, 2013 .

A strategy for autogeneration of space shuttle ground processing simulation models for project makespan estimation

Michael G. Madden, Roberta Wyrick, Dale E. O'Neill, 2005, Proceedings of the Winter Simulation Conference, 2005..

The Genetic Evolution of Kernels for Support Vector Machine Classifiers

Michael G. Madden, M. G. Madden, Tom Howley, 2004 .

Crew Module Hydrodynamic Stability Analysis and Simulation

Michael G. Madden, Joseph A. Jacoby, Shaun M. Nerolich, 2009 .

A Bayesian Classification Approach to Improving Performance for a Real-World Sales Forecasting Application

Michael G. Madden, M. G. Madden, Claire Gallagher, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

UL - NUI Galway Alliance Second Annual Research Day - Book of Abstracts

Michael G. Madden, Peter Corcoran, Marcus Keane, 2012 .

The Performance of Bayesian Network Classifiers Constructed using Different Techniques

Michael G. Madden, M. G. Madden, 2003 .

A New Bayesian Network Structure for Classification Tasks

Michael G. Madden, 2002, AICS.

Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons

Ihsan Ullah, Michael G. Madden, M. G. Madden, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Shehroz S. Khan, Michael G. Madden, M. G. Madden, 2012 .