Michael G. Madden

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 34

Top Topics

Bayesian Classification

Reinforcement Learning

Anomaly Detection

Top Venues

Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML

J. Chem. Inf. Model.

Publications

Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden
Beyond the Known: Adversarial Autoencoders in Novelty Detection. CoRR (2024)
Ghanshyam Verma, Dietrich Rebholz-Schuhmann, Michael G. Madden
Enabling personalised disease diagnosis by combining a patient's time-specific gene expression profile with a biomedical knowledge base. BMC Bioinform. 25 (1) (2024)
Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu, Ihsan Ullah
Depth Estimation using Weighted-loss and Transfer Learning. CoRR (2024)
Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden
Beyond the Known: Adversarial Autoencoders in Novelty Detection. VISIGRAPP (2): VISAPP (2024)
Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu, Ihsan Ullah
Depth Estimation Using Weighted-Loss and Transfer Learning. VISIGRAPP (2): VISAPP (2024)
Seif Allah EL Mesloul Nasri, Ihsan Ullah, Michael G. Madden
Compression scenarios for Federated Learning in Smart Manufacturing. ISM (2023)
Muhammad Adeel Hafeez, Sajid Javed, Michael G. Madden, Ihsan Ullah
Unsupervised End-to-End Transformer based approach for Video Anomaly Detection. IVCNZ (2023)
Ihsan Ullah, Mario Manzo, Mitul Shah, Michael G. Madden
Graph convolutional networks: analysis, improvements and results. Appl. Intell. 52 (8) (2022)
Hamda Ajmal, Michael G. Madden
Dynamic Bayesian Network Learning to Infer Sparse Models From Time Series Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
James Houston, Frank G. Glavin, Michael G. Madden
Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis. J. Chem. Inf. Model. 60 (4) (2020)
Ihsan Ullah, Sean Reilly, Michael G. Madden
Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons. ICPR (2020)
James Houston, Frank G. Glavin, Michael G. Madden
Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis. CoRR (2020)
Ihsan Ullah, Caoilfhionn Lane, Teodora Sandra Buda, Brett Drury, Marc Mellotte, Haytham Assem, Michael G. Madden
Classification of Cybercrime Indicators in Open Social Data. SIMBig (2020)
Ihsan Ullah, Mario Manzo, Mitul Shah, Michael G. Madden
Graph Convolutional Networks: analysis, improvements and results. CoRR (2019)
Hamda Ajmal, Michael G. Madden, Catherine G. Enright
Dealing with Stochasticity in Biological ODE Models. CoRR (2019)
Ghanshyam Verma, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Michael G. Madden
Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification. CD-MAKE (2019)
Hamda Ajmal, Michael G. Madden, Catherine G. Enright
PROFET: Construction and Inference of DBNs Based on Mathematical Models. CoRR (2019)
Frank G. Glavin, Michael G. Madden
DRE-Bot: A Hierarchical First Person Shooter Bot Using Multiple Sarsa(λ) Reinforcement Learners. CoRR (2018)
Frank G. Glavin, Michael G. Madden
Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning. CoRR (2018)
Frank G. Glavin, Michael G. Madden
Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning. CoRR (2018)
Ihsan Ullah, Sai Abinesh, David L. Smyth, Nazli B. Karimi, Brett Drury, Frank G. Glavin, Michael G. Madden
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. CoRR (2018)
David L. Smyth, Frank G. Glavin, Michael G. Madden
Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones. CoRR (2018)
Ihsan Ullah, Sai Abinesh, David L. Smyth, Nazli B. Karimi, Brett Drury, Frank G. Glavin, Michael G. Madden
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML (2018)
David L. Smyth, James Fennell, Sai Abinesh, Nazli B. Karimi, Frank G. Glavin, Ihsan Ullah, Brett Drury, Michael G. Madden
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation. CoRR (2018)
Frank G. Glavin, Michael G. Madden
Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning. CIG (2018)
Frank G. Glavin, Michael G. Madden
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data. CoRR (2018)
Frank G. Glavin, Michael G. Madden
Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning. CoRR (2018)
David L. Smyth, James Fennell, Sai Abinesh, Nazli B. Karimi, Frank G. Glavin, Ihsan Ullah, Brett Drury, Michael G. Madden
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation. IJCAI (2018)
Brett Drury, Ihsan Ullah, Michael G. Madden
An Information Retrieval System for CBRNe Incidents. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML (2018)
Ghanshyam Verma, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Michael G. Madden
Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation. DILS (2018)
David L. Smyth, Frank G. Glavin, Michael G. Madden
Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones. GEM (2018)
James O'Neill, Michael G. Madden, Eamon Dolan
Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements. AIME (2017)
Ted Scully, Michael G. Madden
Facilitating Multi-agent Coalition Formation in Self-interested Environments. ICAART (Revised Selected Papers) (2016)
Ted Scully, Michael G. Madden
Promoting Cooperation and Fairness in Self-interested Multi-Agent Systems. ICAART (2) (2016)
Ankita Garg, Catherine G. Enright, Michael G. Madden
Improving Spectral Library Search by Redefining Similarity Measures. J. Chem. Inf. Model. 55 (5) (2015)
Ankita Garg, Catherine G. Enright, Michael G. Madden
On Asymmetric Similarity Search. ICMLA (2015)
Claire Gallagher, Michael G. Madden, Brian D'Arcy
A Bayesian Classification Approach to Improving Performance for a Real-World Sales Forecasting Application. ICMLA (2015)
Frank G. Glavin, Michael G. Madden
Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning. IEEE Trans. Comput. Intell. AI Games 7 (2) (2015)
Frank G. Glavin, Michael G. Madden
Learning to shoot in first person shooter games by stabilizing actions and clustering rewards for reinforcement learning. CIG (2015)
Shehroz S. Khan, Michael G. Madden
One-class classification: taxonomy of study and review of techniques. Knowl. Eng. Rev. 29 (3) (2014)
Ricardo Santiago-Mozos, Fernando Pérez-Cruz, Michael G. Madden, Antonio Artés-Rodríguez
An Automated Screening System for Tuberculosis. IEEE J. Biomed. Health Informatics 18 (3) (2014)
Ted Scully, Michael G. Madden
Forming Coalitions in Self-interested Multi-agent Environments Through the Promotion of Fair and Cooperative Behaviour. EUMAS (2014)
Catherine G. Enright, Michael G. Madden, Niall Madden
Bayesian networks for mathematical models: Techniques for automatic construction and efficient inference. Int. J. Approx. Reason. 54 (2) (2013)
Shehroz S. Khan, Michael G. Madden
One-Class Classification: Taxonomy of Study and Review of Techniques. CoRR (2013)
Frank G. Glavin, Michael G. Madden
DRE-Bot: A hierarchical First Person Shooter bot using multiple Sarsa(λ) reinforcement learners. CGAMES (2012)
Catherine G. Enright, Michael G. Madden, Niall Madden, John G. Laffey
Clinical Time Series Data Analysis Using Mathematical Models and DBNs. AIME (2011)
Ricardo Santiago-Mozos, Imtiaz A. Khan, Michael G. Madden
Is Topotecan Effective at Killing Cancer Cells? ICDM Workshops (2010)
Gunnar Lucko, Perakath C. Benjamin, Kannan Swaminathan, Michael G. Madden
Comparison of manual and automated simulation generation approaches and their use for construction applications. WSC (2010)
Abdenour Bounsiar, Michael G. Madden
Support vector one-class classification for multiple-distribution data. EUSIPCO (2010)
Ricardo Santiago-Mozos, Imtiaz A. Khan, Michael G. Madden
Revealing the Origin and Nature of Drug Resistance of Dynamic Tumour Systems. Int. J. Knowl. Discov. Bioinform. 1 (4) (2010)
Catherine G. Enright, Michael G. Madden, Stuart J. Russell, Norm Aleks, Geoffrey T. Manley, John G. Laffey, Brian Harte, Anne Mulvey, Niall Madden
Modelling Glycaemia in ICU Patients - A Dynamic Bayesian Network Approach. BIOSIGNALS (2010)
David McGlynn, Michael G. Madden
An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition. SGAI Conf. (2010)
Michael G. Madden
On the classification performance of TAN and general Bayesian networks. Knowl. Based Syst. 22 (7) (2009)
Gunnar Lucko, Kannan Swaminathan, Perakath C. Benjamin, Michael G. Madden
Rapid Deployment of Simulation Models for Building Construction Applications. WSC (2009)
Frank G. Glavin, Michael G. Madden
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data. AICS (2009)
Shehroz S. Khan, Michael G. Madden
A Survey of Recent Trends in One Class Classification. AICS (2009)
Michael G. Madden, Tom Howley
A Machine Learning Application for Classification of Chemical Spectra. SGAI Conf. (Applications) (2008)
Norm Aleks, Stuart J. Russell, Michael G. Madden, Diane Morabito, Kristan Staudenmayer, Mitchell J. Cohen, Geoffrey T. Manley
Probabilistic detection of short events, with application to critical care monitoring. NIPS (2008)
Gunnar Lucko, Perakath C. Benjamin, Michael G. Madden
Harnessing the power of simulation in the project management / decision support aspects of the construction industry. WSC (2008)
Michael G. Madden
On the Classification Performance of TAN and General Bayesian Networks. SGAI Conf. (2008)
Michael G. Madden, Sarah Jane Delany
About the authors. Artif. Intell. Rev. 27 (4) (2007)
Michael G. Madden, Sarah Jane Delany
Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07). Artif. Intell. Rev. 27 (4) (2007)
Michael G. Madden
Learning curve application to space shuttle processing simulations. WSC (2006)
Tom Howley, Michael G. Madden, Marie-Louise O'Connell, Alan G. Ryder
The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data. Knowl. Based Syst. 19 (5) (2006)
Tom Howley, Michael G. Madden
An Evolutionary Approach to Automatic Kernel Construction. ICANN (2) (2006)
Niall O'Connor, Michael G. Madden
A neural network approach to predicting stock exchange movements using external factors. Knowl. Based Syst. 19 (5) (2006)
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons
Context-Sensitive Regression Analysis for Distributed Data. ADMA (2005)
Tom Howley, Michael G. Madden, Marie-Louise O'Connell, Alan G. Ryder
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data. SGAI Conf. (Applications) (2005)
Kenneth Hennessy, Michael G. Madden, Jennifer Conroy, Alan G. Ryder
An improved genetic programming technique for the classification of Raman spectra. Knowl. Based Syst. 18 (4-5) (2005)
Michael G. Madden, Roberta Wyrick, Dale E. O'Neill
A strategy for autogeneration of space shuttle ground processing simulation models for project makespan estimation. WSC (2005)
Niall O'Connor, Michael G. Madden
A Neural Network Approach to Predicting Stock Exchange Movements using External Factors. SGAI Conf. (Applications) (2005)
Dayong Gao, Michael G. Madden, Michael Schukat, Desmond Chambers, Gerard Lyons
ANN-based Diagnostic System for Arrhythmia with ECG Signals. Artificial Intelligence and Applications (2005)
Tom Howley, Michael G. Madden
The Genetic Kernel Support Vector Machine: Description and Evaluation. Artif. Intell. Rev. 24 (3-4) (2005)
Enda Ridge, Michael G. Madden, Gerard Lyons
The Evolution of Probabilistic Reciprocity in a Multi-agent Environment with Neighborhoods. CIA (2004)
Michael G. Madden, Tom Howley
Transfer of Experience Between Reinforcement Learning Environments with Progressive Difficulty. Artif. Intell. Rev. 21 (3-4) (2004)
Ted Scully, Michael G. Madden, Gerard Lyons
Coalition calculation in a dynamic agent environment. ICML (2004)
Kenneth Hennessy, Michael G. Madden, Jennifer Conroy, Alan G. Ryder
An Improved Genetic Programming Technique for the Classification of Raman Spectra. SGAI Conf. (Applications) (2004)
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons
Distributed Regression for Heterogeneous Data Sets. IDA (2003)
Michael G. Madden, Desmond Chambers
Evaluation of student attitudes to learning the Java language. PPPJ/IRE (2002)
Michael G. Madden
A New Bayesian Network Structure for Classification Tasks. AICS (2002)
Michael G. Madden
Evaluation of the Performance of the Markov Blanket Bayesian Classifier Algorithm CoRR (2002)