Michael G. Madden

According to our database1, Michael G. Madden authored at least 49 papers between 2002 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones.
Proceedings of the IEEE Games, Entertainment, Media Conference, 2018

Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation.
Proceedings of the Data Integration in the Life Sciences - 13th International Conference, 2018

Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements.
Proceedings of the Artificial Intelligence in Medicine, 2017

Facilitating Multi-agent Coalition Formation in Self-interested Environments.
Proceedings of the Agents and Artificial Intelligence - 8th International Conference, 2016

Promoting Cooperation and Fairness in Self-interested Multi-Agent Systems.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning.
IEEE Trans. Comput. Intellig. and AI in Games, 2015

Improving Spectral Library Search by Redefining Similarity Measures.
Journal of Chemical Information and Modeling, 2015

On Asymmetric Similarity Search.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

A Bayesian Classification Approach to Improving Performance for a Real-World Sales Forecasting Application.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Learning to shoot in first person shooter games by stabilizing actions and clustering rewards for reinforcement learning.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Modelling and Monitoring the Individual Patient in Real Time.
Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

Monitoring in the Healthcare Setting.
Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

An Automated Screening System for Tuberculosis.
IEEE J. Biomedical and Health Informatics, 2014

One-class classification: taxonomy of study and review of techniques.
Knowledge Eng. Review, 2014

Forming Coalitions in Self-interested Multi-agent Environments Through the Promotion of Fair and Cooperative Behaviour.
Proceedings of the Multi-Agent Systems - 12th European Conference, 2014

Bayesian networks for mathematical models: Techniques for automatic construction and efficient inference.
Int. J. Approx. Reasoning, 2013

DRE-Bot: A hierarchical First Person Shooter bot using multiple Sarsa(λ) reinforcement learners.
Proceedings of the 17th International Conference on Computer Games, 2012

Clinical Time Series Data Analysis Using Mathematical Models and DBNs.
Proceedings of the Artificial Intelligence in Medicine, 2011

Revealing the Origin and Nature of Drug Resistance of Dynamic Tumour Systems.
IJKDB, 2010

Comparison of manual and automated simulation generation approaches and their use for construction applications.
Proceedings of the 2010 Winter Simulation Conference, 2010

An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition.
Proceedings of the Research and Development in Intelligent Systems XXVII, 2010

Is Topotecan Effective at Killing Cancer Cells?
Proceedings of the ICDMW 2010, 2010

Support vector one-class classification for multiple-distribution data.
Proceedings of the 18th European Signal Processing Conference, 2010

Modelling Glycaemia in ICU Patients - A Dynamic Bayesian Network Approach.
Proceedings of the BIOSIGNALS 2010, 2010

On the classification performance of TAN and general Bayesian networks.
Knowl.-Based Syst., 2009

Rapid Deployment of Simulation Models for Building Construction Applications.
Proceedings of the 2009 Winter Simulation Conference, 2009

A Survey of Recent Trends in One Class Classification.
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009

Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data.
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009

Harnessing the power of simulation in the project management / decision support aspects of the construction industry.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

Probabilistic detection of short events, with application to critical care monitoring.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07).
Artif. Intell. Rev., 2007

About the authors.
Artif. Intell. Rev., 2007

Learning curve application to space shuttle processing simulations.
Proceedings of the Winter Simulation Conference WSC 2006, 2006

An Evolutionary Approach to Automatic Kernel Construction.
Proceedings of the Artificial Neural Networks, 2006

An improved genetic programming technique for the classification of Raman spectra.
Knowl.-Based Syst., 2005

The Genetic Kernel Support Vector Machine: Description and Evaluation.
Artif. Intell. Rev., 2005

A strategy for autogeneration of space shuttle ground processing simulation models for project makespan estimation.
Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005

A Neural Network Approach to Predicting Stock Exchange Movements using External Factors.
Proceedings of the Applications and Innovations in Intelligent Systems XIII, 2005

The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data.
Proceedings of the Applications and Innovations in Intelligent Systems XIII, 2005

ANN-based Diagnostic System for Arrhythmia with ECG Signals.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

Context-Sensitive Regression Analysis for Distributed Data.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

Transfer of Experience Between Reinforcement Learning Environments with Progressive Difficulty.
Artif. Intell. Rev., 2004

Coalition calculation in a dynamic agent environment.
Proceedings of the Machine Learning, 2004

The Evolution of Probabilistic Reciprocity in a Multi-agent Environment with Neighborhoods.
Proceedings of the Cooperative Information Agents VIII, 8th International Workshop, 2004

Distributed Regression for Heterogeneous Data Sets.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

Evaluation of student attitudes to learning the Java language.
Proceedings of the naugural International Symposium on Principles and Practice of Programming in Java, 2002

A New Bayesian Network Structure for Classification Tasks.
Proceedings of the Artificial Intelligence and Cognitive Science, 2002