Michael G. Madden

92 papers A* 2B 5C 7Misc 6Journal 39Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PoisonShield-FL-NIDS: A Robust Defense Against Poisoning Attacks in Federated Learning Intrusion Detection. IEEE Internet Things J. Muhammad Ilyas, Nadeem Iqbal Kajla, Michael G. Madden, Gaojuan Fan, Chongsheng Zhang, Hafiz Muhammad Sanaullah Badar
2025	—	`conf`	3D CT-Based Coronary Calcium Assessment: A Feature-Driven Machine Learning Framework. AMAI@MICCAI Ayman Abaid, Gianpiero Guidone, Sara Alsubai, Foziyah Alquahtani, Talha Iqbal, Ruth Sharif, Hesham Elzomor, Emiliano Bianchini, Naeif Almagal, Michael G. Madden, Faisal Sharif, Ihsan Ullah
2025	J	`jnl`	3D CT-Based Coronary Calcium Assessment: A Feature-Driven Machine Learning Framework. CoRR Ayman Abaid, Gianpiero Guidone, Sara Alsubai, Foziyah Alquahtani, Talha Iqbal, Ruth Sharif, Hesham Elzomor, Emiliano Bianchini, Naeif Almagal, Michael G. Madden, Faisal Sharif, Ihsan Ullah
2025	J	`jnl`	A Probabilistic Adversarial Autoencoder for Novelty Detection: Leveraging Lightweight Design and Reconstruction Loss. IEEE Access Muhammad Asad, Ihsan Ullah, Muhammad Adeel Hafeez, Ganesh Sistu, Michael G. Madden
2025	B	`conf`	Enhancing Synthetic Image Realism with Controlled Diffusion Models. IJCNN Iqra Nosheen, Muhammad Ali Farooq, Peter Corcoran, Cathy Ennis, Michael G. Madden
2025	J	`jnl`	Multi-Source Depth Estimation: Utilizing Real, Synthetic, and Monocular Depth Data with Custom Loss Functions. Signal Image Video Process. Muhammad Adeel Hafeez, Ganesh Sistu, Michael G. Madden, Ihsan Ullah
2025	—	`conf`	Robust Monocular Depth Estimation Against Adversarial Camouflage in Autonomous Vehicles. ICVES Saahil Khanna, Muhammad Adeel Hafeez, Muhammad Asad, Ganesh Sistu, Michael G. Madden, Ihsan Ullah
2024	—	`conf`	Beyond the Known: Adversarial Autoencoders in Novelty Detection. VISIGRAPP (2): VISAPP Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden
2024	J	`jnl`	Beyond the Known: Adversarial Autoencoders in Novelty Detection. CoRR Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden
2024	—	`conf`	Depth Estimation Using Weighted-Loss and Transfer Learning. VISIGRAPP (2): VISAPP Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu, Ihsan Ullah
2024	J	`jnl`	Depth Estimation using Weighted-loss and Transfer Learning. CoRR Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu, Ihsan Ullah
2024	J	`jnl`	Enabling personalised disease diagnosis by combining a patient's time-specific gene expression profile with a biomedical knowledge base. BMC Bioinform. Ghanshyam Verma, Dietrich Rebholz-Schuhmann, Michael G. Madden
2024	C	`conf`	Towards a Digital Twin for Production Planning: Combining Discrete Event Simulation and ML for Flexible Job Shops. ISM Mohaiad Elbasheer, Francesco Longo, Michael G. Madden, Antonio Padovano, Ihsan Ullah
2023	J	`jnl`	Hybrid synthetic data generation pipeline that outperforms real data. J. Electronic Imaging Sai Abinesh Natarajan, Michael G. Madden
2023	Misc	`conf`	Unsupervised End-to-End Transformer based approach for Video Anomaly Detection. IVCNZ Muhammad Adeel Hafeez, Sajid Javed, Michael G. Madden, Ihsan Ullah
2022	C	`conf`	Compression scenarios for Federated Learning in Smart Manufacturing. ISM Seif Allah El Mesloul Nasri, Ihsan Ullah, Michael G. Madden
2022	J	`jnl`	Dynamic Bayesian Network Learning to Infer Sparse Models From Time Series Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Hamda Ajmal, Michael G. Madden
2022	J	`jnl`	Graph convolutional networks: analysis, improvements and results. Appl. Intell. Ihsan Ullah, Mario Manzo, Mitul Shah, Michael G. Madden
2020	—	`conf`	Classification of Cybercrime Indicators in Open Social Data. SIMBig Ihsan Ullah, Caoilfhionn Lane, Teodora Sandra Buda, Brett Drury, Marc Mellotte, Haytham Assem, Michael G. Madden
2020	B	`conf`	Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons. ICPR Ihsan Ullah, Sean Reilly, Michael G. Madden
2020	J	`jnl`	Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis. CoRR James Houston, Frank G. Glavin, Michael G. Madden
2020	J	`jnl`	Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis. J. Chem. Inf. Model. James Houston, Frank G. Glavin, Michael G. Madden
2019	J	`jnl`	Dealing with Stochasticity in Biological ODE Models. CoRR Hamda Ajmal, Michael G. Madden, Catherine G. Enright
2019	J	`jnl`	Graph Convolutional Networks: analysis, improvements and results. CoRR Ihsan Ullah, Mario Manzo, Mitul Shah, Michael G. Madden
2019	J	`jnl`	PROFET: Construction and Inference of DBNs Based on Mathematical Models. CoRR Hamda Ajmal, Michael G. Madden, Catherine G. Enright
2019	C	`conf`	Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification. CD-MAKE Ghanshyam Verma, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Michael G. Madden
2018	A*	`conf`	A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation. IJCAI David L. Smyth, James Fennell, Sai Abinesh, Nazli B. Karimi, Frank G. Glavin, Ihsan Ullah, Brett Drury, Michael G. Madden
2018	J	`jnl`	A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation. CoRR David L. Smyth, James Fennell, Sai Abinesh, Nazli B. Karimi, Frank G. Glavin, Ihsan Ullah, Brett Drury, Michael G. Madden
2018	—	`conf`	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 Ihsan Ullah, Sai Abinesh, David L. Smyth, Nazli B. Karimi, Brett Drury, Frank G. Glavin, Michael G. Madden
2018	J	`jnl`	A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. CoRR Ihsan Ullah, Sai Abinesh, David L. Smyth, Nazli B. Karimi, Brett Drury, Frank G. Glavin, Michael G. Madden
2018	J	`jnl`	Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning. CoRR Frank G. Glavin, Michael G. Madden
2018	—	`conf`	An Information Retrieval System for CBRNe Incidents. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML Brett Drury, Ihsan Ullah, Michael G. Madden
2018	J	`jnl`	Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data. CoRR Frank G. Glavin, Michael G. Madden
2018	J	`jnl`	DRE-Bot: A Hierarchical First Person Shooter Bot Using Multiple Sarsa(λ) Reinforcement Learners. CoRR Frank G. Glavin, Michael G. Madden
2018	J	`jnl`	Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning. CoRR Frank G. Glavin, Michael G. Madden
2018	—	`conf`	Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning. CIG Frank G. Glavin, Michael G. Madden
2018	J	`jnl`	Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning. CoRR Frank G. Glavin, Michael G. Madden
2018	—	`conf`	Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation. DILS Ghanshyam Verma, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Michael G. Madden
2018	—	`conf`	Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones. GEM David L. Smyth, Frank G. Glavin, Michael G. Madden
2018	J	`jnl`	Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones. CoRR David L. Smyth, Frank G. Glavin, Michael G. Madden
2017	B	`conf`	Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements. AIME James O'Neill, Michael G. Madden, Eamon Dolan
2016	—	`conf`	Facilitating Multi-agent Coalition Formation in Self-interested Environments. ICAART (Revised Selected Papers) Ted Scully, Michael G. Madden
2016	—	`conf`	Promoting Cooperation and Fairness in Self-interested Multi-Agent Systems. ICAART (2) Ted Scully, Michael G. Madden
2015	C	`conf`	A Bayesian Classification Approach to Improving Performance for a Real-World Sales Forecasting Application. ICMLA Claire Gallagher, Michael G. Madden, Brian D'Arcy
2015	J	`jnl`	Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning. IEEE Trans. Comput. Intell. AI Games Frank G. Glavin, Michael G. Madden
2015	J	`jnl`	Improving Spectral Library Search by Redefining Similarity Measures. J. Chem. Inf. Model. Ankita Garg, Catherine G. Enright, Michael G. Madden
2015	—	`conf`	Learning to shoot in first person shooter games by stabilizing actions and clustering rewards for reinforcement learning. CIG Frank G. Glavin, Michael G. Madden
2015	—	`ch.`	Modelling and Monitoring the Individual Patient in Real Time. Foundations of Biomedical Knowledge Representation Catherine G. Enright, Michael G. Madden
2015	—	`ch.`	Monitoring in the Healthcare Setting. Foundations of Biomedical Knowledge Representation Federico Chesani, Catherine G. Enright, Marco Montali, Michael G. Madden
2015	C	`conf`	On Asymmetric Similarity Search. ICMLA Ankita Garg, Catherine G. Enright, Michael G. Madden
2014	J	`jnl`	An Automated Screening System for Tuberculosis. IEEE J. Biomed. Health Informatics Ricardo Santiago-Mozos, Fernando Pérez-Cruz, Michael G. Madden, Antonio Artés-Rodríguez
2014	C	`conf`	Forming Coalitions in Self-interested Multi-agent Environments Through the Promotion of Fair and Cooperative Behaviour. EUMAS Ted Scully, Michael G. Madden
2014	J	`jnl`	One-class classification: taxonomy of study and review of techniques. Knowl. Eng. Rev. Shehroz S. Khan, Michael G. Madden
2013	J	`jnl`	Bayesian networks for mathematical models: Techniques for automatic construction and efficient inference. Int. J. Approx. Reason. Catherine G. Enright, Michael G. Madden, Niall Madden
2013	J	`jnl`	One-Class Classification: Taxonomy of Study and Review of Techniques. CoRR Shehroz S. Khan, Michael G. Madden
2012	—	`conf`	DRE-Bot: A hierarchical First Person Shooter bot using multiple Sarsa(λ) reinforcement learners. CGAMES Frank G. Glavin, Michael G. Madden
2011	B	`conf`	Clinical Time Series Data Analysis Using Mathematical Models and DBNs. AIME Catherine G. Enright, Michael G. Madden, Niall Madden, John G. Laffey
2010	—	`conf`	An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition. SGAI Conf. David McGlynn, Michael G. Madden
2010	Misc	`conf`	Comparison of manual and automated simulation generation approaches and their use for construction applications. WSC Gunnar Lucko, Perakath C. Benjamin, Kannan Swaminathan, Michael G. Madden
2010	—	`conf`	Is Topotecan Effective at Killing Cancer Cells? ICDM Workshops Ricardo Santiago-Mozos, Imtiaz A. Khan, Michael G. Madden
2010	—	`conf`	Modelling Glycaemia in ICU Patients - A Dynamic Bayesian Network Approach. BIOSIGNALS Catherine G. Enright, Michael G. Madden, Stuart Russell, Norm Aleks, Geoffrey T. Manley, John G. Laffey, Brian Harte, Anne Mulvey, Niall Madden
2010	J	`jnl`	Revealing the Origin and Nature of Drug Resistance of Dynamic Tumour Systems. Int. J. Knowl. Discov. Bioinform. Ricardo Santiago-Mozos, Imtiaz A. Khan, Michael G. Madden
2010	—	`conf`	Support vector one-class classification for multiple-distribution data. EUSIPCO Abdenour Bounsiar, Michael G. Madden
2009	—	`conf`	A Survey of Recent Trends in One Class Classification. AICS Shehroz S. Khan, Michael G. Madden
2009	—	`conf`	Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data. AICS Frank G. Glavin, Michael G. Madden
2009	J	`jnl`	On the classification performance of TAN and general Bayesian networks. Knowl. Based Syst. Michael G. Madden
2009	Misc	`conf`	Rapid Deployment of Simulation Models for Building Construction Applications. WSC Gunnar Lucko, Kannan Swaminathan, Perakath C. Benjamin, Michael G. Madden
2008	—	`conf`	A Machine Learning Application for Classification of Chemical Spectra. SGAI Conf. (Applications) Michael G. Madden, Tom Howley
2008	Misc	`conf`	Harnessing the power of simulation in the project management / decision support aspects of the construction industry. WSC Gunnar Lucko, Perakath C. Benjamin, Michael G. Madden
2008	—	`conf`	On the Classification Performance of TAN and General Bayesian Networks. SGAI Conf. Michael G. Madden
2008	—	`conf`	Probabilistic detection of short events, with application to critical care monitoring. NIPS Norm Aleks, Stuart Russell, Michael G. Madden, Diane Morabito, Kristan Staudenmayer, Mitchell J. Cohen, Geoffrey T. Manley
2007	J	`jnl`	About the authors. Artif. Intell. Rev. Michael G. Madden, Sarah Jane Delany
2007	J	`jnl`	Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07). Artif. Intell. Rev. Michael G. Madden, Sarah Jane Delany
2006	J	`jnl`	A neural network approach to predicting stock exchange movements using external factors. Knowl. Based Syst. Niall O'Connor, Michael G. Madden
2006	—	`conf`	An Evolutionary Approach to Automatic Kernel Construction. ICANN (2) Tom Howley, Michael G. Madden
2006	Misc	`conf`	Learning curve application to space shuttle processing simulations. WSC Michael G. Madden
2006	J	`jnl`	The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data. Knowl. Based Syst. Tom Howley, Michael G. Madden, Marie-Louise O'Connell, Alan G. Ryder
2005	—	`conf`	A Neural Network Approach to Predicting Stock Exchange Movements using External Factors. SGAI Conf. (Applications) Niall O'Connor, Michael G. Madden
2005	Misc	`conf`	A strategy for autogeneration of space shuttle ground processing simulation models for project makespan estimation. WSC Michael G. Madden, Roberta Wyrick, Dale E. O'Neill
2005	—	`conf`	ANN-based Diagnostic System for Arrhythmia with ECG Signals. Artificial Intelligence and Applications Dayong Gao, Michael G. Madden, Michael Schukat, Desmond Chambers, Gerard Lyons
2005	J	`jnl`	An improved genetic programming technique for the classification of Raman spectra. Knowl. Based Syst. Kenneth Hennessy, Michael G. Madden, Jennifer Conroy, Alan G. Ryder
2005	C	`conf`	Context-Sensitive Regression Analysis for Distributed Data. ADMA Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons
2005	—	`conf`	The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data. SGAI Conf. (Applications) Tom Howley, Michael G. Madden, Marie-Louise O'Connell, Alan G. Ryder
2005	J	`jnl`	The Genetic Kernel Support Vector Machine: Description and Evaluation. Artif. Intell. Rev. Tom Howley, Michael G. Madden
2004	—	`conf`	An Improved Genetic Programming Technique for the Classification of Raman Spectra. SGAI Conf. (Applications) Kenneth Hennessy, Michael G. Madden, Jennifer Conroy, Alan G. Ryder
2004	A*	`conf`	Coalition calculation in a dynamic agent environment. ICML Ted Scully, Michael G. Madden, Gerard Lyons
2004	—	`conf`	The Evolution of Probabilistic Reciprocity in a Multi-agent Environment with Neighborhoods. CIA Enda Ridge, Michael G. Madden, Gerard Lyons
2004	J	`jnl`	Transfer of Experience Between Reinforcement Learning Environments with Progressive Difficulty. Artif. Intell. Rev. Michael G. Madden, Tom Howley
2003	B	`conf`	Distributed Regression for Heterogeneous Data Sets. IDA Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons
2002	—	`conf`	A New Bayesian Network Structure for Classification Tasks. AICS Michael G. Madden
2002	—	`conf`	Evaluation of student attitudes to learning the Java language. PPPJ/IRE Michael G. Madden, Desmond Chambers
2002	J	`jnl`	Evaluation of the Performance of the Markov Blanket Bayesian Classifier Algorithm CoRR Michael G. Madden