A New Bayesian Network Structure for Classification Tasks. - Michael G. Madden (AICS, 2002)

Evaluation of student attitudes to learning the Java language. - Michael G. Madden; Desmond Chambers (PPPJ/IRE, 2002)

Evaluation of the Performance of the Markov Blanket Bayesian Classifier Algorithm - Michael G. Madden (CoRR, 2002)

Distributed Regression for Heterogeneous Data Sets. - Yan Xing; Michael G. Madden; Jim Duggan; Gerard Lyons (IDA, 2003)

The Evolution of Probabilistic Reciprocity in a Multi-agent Environment with Neighborhoods. - Enda Ridge; Michael G. Madden; Gerard Lyons (CIA, 2004)

Coalition calculation in a dynamic agent environment. - Ted Scully; Michael G. Madden; Gerard Lyons (ICML, 2004)

Transfer of Experience Between Reinforcement Learning Environments with Progressive Difficulty. - Michael G. Madden; Tom Howley (Artif. Intell. Rev., 2004)

Context-Sensitive Regression Analysis for Distributed Data. - Yan Xing; Michael G. Madden; Jim Duggan; Gerard Lyons (ADMA, 2005)

ANN-based Diagnostic System for Arrhythmia with ECG Signals. - Dayong Gao; Michael G. Madden; Michael Schukat; Desmond Chambers; Gerard Lyons (Artificial Intelligence and Applications, 2005)

Bayesian ANN classifier for ECG arrhythmia diagnostic system: a comparison study. - Dayong Gao; Michael Madden 002; Des Chambers; Gerard Lyons (IJCNN, 2005)

A strategy for autogeneration of space shuttle ground processing simulation models for project makespan estimation. - Michael G. Madden; Roberta Wyrick; Dale E. O'Neill (WSC, 2005)

The Genetic Kernel Support Vector Machine: Description and Evaluation. - Tom Howley; Michael G. Madden (Artif. Intell. Rev., 2005)

An improved genetic programming technique for the classification of Raman spectra. - Kenneth Hennessy; Michael G. Madden; Jennifer Conroy; Alan G. Ryder (Knowl. Based Syst., 2005)

An Evolutionary Approach to Automatic Kernel Construction. - Tom Howley; Michael G. Madden (ICANN (2), 2006)

Learning curve application to space shuttle processing simulations. - Michael G. Madden (WSC, 2006)

The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data. - Tom Howley; Michael G. Madden; Marie-Louise O'Connell; Alan G. Ryder (Knowl. Based Syst., 2006)

A neural network approach to predicting stock exchange movements using external factors. - Niall O'Connor; Michael G. Madden (Knowl. Based Syst., 2006)

About the authors. - Michael G. Madden; Sarah Jane Delany (Artif. Intell. Rev., 2007)

Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07). - Michael G. Madden; Sarah Jane Delany (Artif. Intell. Rev., 2007)

Probabilistic detection of short events, with application to critical care monitoring. - Norm Aleks; Stuart Russell 001; Michael G. Madden; Diane Morabito; Kristan Staudenmayer; Mitchell J. Cohen; Geoffrey T. Manley (NIPS, 2008)

A Machine Learning Application for Classification of Chemical Spectra. - Michael G. Madden; Tom Howley (SGAI Conf. (Applications), 2008)

Harnessing the power of simulation in the project management / decision support aspects of the construction industry. - Gunnar Lucko; Perakath C. Benjamin; Michael G. Madden (WSC, 2008)

Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data. - Frank G. Glavin; Michael G. Madden (AICS, 2009)

A Survey of Recent Trends in One Class Classification. - Shehroz S. Khan; Michael G. Madden (AICS, 2009)

Rapid Deployment of Simulation Models for Building Construction Applications. - Gunnar Lucko; Kannan Swaminathan; Perakath C. Benjamin; Michael G. Madden (WSC, 2009)

On the classification performance of TAN and general Bayesian networks. - Michael G. Madden (Knowl. Based Syst., 2009)

Modelling Glycaemia in ICU Patients - A Dynamic Bayesian Network Approach. - Catherine G. Enright; Michael G. Madden; Stuart Russell 001; Norm Aleks; Geoffrey T. Manley; John G. Laffey; Brian Harte; Anne Mulvey; Niall Madden (BIOSIGNALS, 2010)

Support vector one-class classification for multiple-distribution data. - Abdenour Bounsiar; Michael G. Madden (EUSIPCO, 2010)

Is Topotecan Effective at Killing Cancer Cells? - Ricardo Santiago-Mozos; Imtiaz A. Khan; Michael G. Madden (ICDM Workshops, 2010)

An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition. - David McGlynn; Michael G. Madden (SGAI Conf., 2010)

Comparison of manual and automated simulation generation approaches and their use for construction applications. - Gunnar Lucko; Perakath C. Benjamin; Kannan Swaminathan; Michael G. Madden (WSC, 2010)

Revealing the Origin and Nature of Drug Resistance of Dynamic Tumour Systems. - Ricardo Santiago-Mozos; Imtiaz A. Khan; Michael G. Madden (Int. J. Knowl. Discov. Bioinform., 2010)

Clinical Time Series Data Analysis Using Mathematical Models and DBNs. - Catherine G. Enright; Michael G. Madden; Niall Madden; John G. Laffey (AIME, 2011)

DRE-Bot: A hierarchical First Person Shooter bot using multiple Sarsa(λ) reinforcement learners. - Frank G. Glavin; Michael G. Madden (CGAMES, 2012)

Bayesian networks for mathematical models: Techniques for automatic construction and efficient inference. - Catherine G. Enright; Michael G. Madden; Niall Madden (Int. J. Approx. Reason., 2013)

Forming Coalitions in Self-interested Multi-agent Environments Through the Promotion of Fair and Cooperative Behaviour. - Ted Scully; Michael G. Madden (EUMAS, 2014)

One-class classification: taxonomy of study and review of techniques. - Shehroz S. Khan; Michael G. Madden (Knowl. Eng. Rev., 2014)

An Automated Screening System for Tuberculosis. - Ricardo Santiago-Mozos; Fernando Pérez-Cruz; Michael G. Madden; Antonio Artés-Rodríguez (IEEE J. Biomed. Health Informatics, 2014)

Monitoring in the Healthcare Setting. - Federico Chesani; Catherine G. Enright; Marco Montali; Michael G. Madden (Foundations of Biomedical Knowledge Representation, 2015)

Modelling and Monitoring the Individual Patient in Real Time. - Catherine G. Enright; Michael G. Madden (Foundations of Biomedical Knowledge Representation, 2015)

Learning to shoot in first person shooter games by stabilizing actions and clustering rewards for reinforcement learning. - Frank G. Glavin; Michael G. Madden (CIG, 2015)

A Bayesian Classification Approach to Improving Performance for a Real-World Sales Forecasting Application. - Claire Gallagher; Michael G. Madden; Brian D'Arcy (ICMLA, 2015)

On Asymmetric Similarity Search. - Ankita Garg; Catherine G. Enright; Michael G. Madden (ICMLA, 2015)

Improving Spectral Library Search by Redefining Similarity Measures. - Ankita Garg; Catherine G. Enright; Michael G. Madden (J. Chem. Inf. Model., 2015)

Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning. - Frank G. Glavin; Michael G. Madden (IEEE Trans. Comput. Intell. AI Games, 2015)

Promoting Cooperation and Fairness in Self-interested Multi-Agent Systems. - Ted Scully; Michael G. Madden (ICAART (2), 2016)

Facilitating Multi-agent Coalition Formation in Self-interested Environments. - Ted Scully; Michael G. Madden (ICAART (Revised Selected Papers), 2016)

Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements. - James O'Neill; Michael G. Madden; Eamon Dolan (AIME, 2017)

Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning. - Frank G. Glavin; Michael G. Madden (CIG, 2018)

Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation. - Ghanshyam Verma; Alokkumar Jha; Dietrich Rebholz-Schuhmann; Michael G. Madden (DILS, 2018)

Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones. - David L. Smyth; Frank G. Glavin; Michael G. Madden (GEM, 2018)

A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation. - David L. Smyth; James Fennell; Sai Abinesh; Nazli B. Karimi; Frank G. Glavin; Ihsan Ullah 002; Brett Drury; Michael G. Madden (IJCAI, 2018)

An Information Retrieval System for CBRNe Incidents. - Brett Drury; Ihsan Ullah 002; Michael G. Madden (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. - Ihsan Ullah 002; Sai Abinesh; David L. Smyth; Nazli B. Karimi; Brett Drury; Frank G. Glavin; Michael G. Madden (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification. - Ghanshyam Verma; Alokkumar Jha; Dietrich Rebholz-Schuhmann; Michael G. Madden (CD-MAKE, 2019)

PROFET: Construction and Inference of DBNs Based on Mathematical Models. - Hamda Ajmal; Michael G. Madden; Catherine G. Enright (CoRR, 2019)

Dealing with Stochasticity in Biological ODE Models. - Hamda Ajmal; Michael G. Madden; Catherine G. Enright (CoRR, 2019)

Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons. - Ihsan Ullah 002; Sean Reilly; Michael G. Madden (ICPR, 2020)

Classification of Cybercrime Indicators in Open Social Data. - Ihsan Ullah 002; Caoilfhionn Lane; Teodora Sandra Buda; Brett Drury; Marc Mellotte; Haytham Assem; Michael G. Madden (SIMBig, 2020)

Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis. - James Houston; Frank G. Glavin; Michael G. Madden (J. Chem. Inf. Model., 2020)

Coyote: A Dataset of Challenging Scenarios in Visual Perception for Autonomous Vehicles. - Suruchi Gupta; Ihsan Ullah 002; Michael Madden 002 (AISafety@IJCAI, 2021)

Compression scenarios for Federated Learning in Smart Manufacturing. - Seif Allah EL Mesloul Nasri; Ihsan Ullah 002; Michael G. Madden (ISM, 2022)

Graph convolutional networks: analysis, improvements and results. - Ihsan Ullah 002; Mario Manzo; Mitul Shah; Michael G. Madden (Appl. Intell., 2022)

Dynamic Bayesian Network Learning to Infer Sparse Models From Time Series Gene Expression Data. - Hamda Ajmal; Michael G. Madden (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Hybrid Synthetic Data that Outperforms Real Data in ObjectNet. - Sai Abinesh Natarajan; Michael G. Madden (IEEE DataPort, 2022)

Unsupervised End-to-End Transformer based approach for Video Anomaly Detection. - Muhammad Adeel Hafeez; Sajid Javed; Michael G. Madden; Ihsan Ullah 002 (IVCNZ, 2023)

Hybrid synthetic data generation pipeline that outperforms real data. - Sai Abinesh Natarajan; Michael G. Madden (J. Electronic Imaging, 2023)

Towards a Digital Twin for Production Planning: Combining Discrete Event Simulation and ML for Flexible Job Shops. - Mohaiad Elbasheer; Francesco Longo 002; Michael G. Madden; Antonio Padovano; Ihsan Ullah 002 (ISM, 2024)

Beyond the Known: Adversarial Autoencoders in Novelty Detection. - Muhammad Asad; Ihsan Ullah 002; Ganesh Sistu; Michael G. Madden (VISIGRAPP (2): VISAPP, 2024)

Depth Estimation Using Weighted-Loss and Transfer Learning. - Muhammad Adeel Hafeez; Michael G. Madden; Ganesh Sistu; Ihsan Ullah 002 (VISIGRAPP (2): VISAPP, 2024)

Enabling personalised disease diagnosis by combining a patient's time-specific gene expression profile with a biomedical knowledge base. - Ghanshyam Verma; Dietrich Rebholz-Schuhmann; Michael G. Madden (BMC Bioinform., 2024)

A Probabilistic Adversarial Autoencoder for Novelty Detection: Leveraging Lightweight Design and Reconstruction Loss. - Muhammad Asad; Ihsan Ullah 002; Muhammad Adeel Hafeez; Ganesh Sistu; Michael G. Madden (IEEE Access, 2025)

Multi-Source Depth Estimation: Utilizing Real, Synthetic, and Monocular Depth Data with Custom Loss Functions. - Muhammad Adeel Hafeez; Ganesh Sistu; Michael G. Madden; Ihsan Ullah 002 (Signal Image Video Process., 2025)