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ORCIDMichael G. Madden
Michael Madden 0002
Person information
- affiliation: National University of Ireland, School of Computer Science, Galway, Ireland
Other persons with the same name
- Michael Madden 0001 (aka: Michael M. Madden 0001) — NASA Langley Research Center, Hampton, VA, USA
- Michael Madden 0003 — Rochester Institute of Technology, NY, USA
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2020 – today
- 2024
[j18]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): 62 (2024)- [c48]Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden:
Beyond the Known: Adversarial Autoencoders in Novelty Detection. VISIGRAPP (2): VISAPP 2024: 256-265 - [c47]Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu, Ihsan Ullah:
Depth Estimation Using Weighted-Loss and Transfer Learning. VISIGRAPP (2): VISAPP 2024: 780-787 - [i16]Muhammad Asad, Ihsan Ullah
, Ganesh Sistu, Michael G. Madden:
Beyond the Known: Adversarial Autoencoders in Novelty Detection. CoRR abs/2404.04456 (2024) - [i15]Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu, Ihsan Ullah:
Depth Estimation using Weighted-loss and Transfer Learning. CoRR abs/2404.07686 (2024) - 2023
- [c46]Seif Allah EL Mesloul Nasri, Ihsan Ullah, Michael G. Madden:
Compression scenarios for Federated Learning in Smart Manufacturing. ISM 2023: 436-445 - [c45]Muhammad Adeel Hafeez, Sajid Javed, Michael G. Madden, Ihsan Ullah:
Unsupervised End-to-End Transformer based approach for Video Anomaly Detection. IVCNZ 2023: 1-7 - 2022
- [j17]Ihsan Ullah, Mario Manzo, Mitul Shah, Michael G. Madden:
Graph convolutional networks: analysis, improvements and results. Appl. Intell. 52(8): 9033-9044 (2022) - [j16]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): 2794-2805 (2022) - [d1]Sai Abinesh Natarajan, Michael G. Madden:
Hybrid Synthetic Data that Outperforms Real Data in ObjectNet. IEEE DataPort, 2022
- 2021
- [c44]Suruchi Gupta, Ihsan Ullah, Michael Madden:
Coyote: A Dataset of Challenging Scenarios in Visual Perception for Autonomous Vehicles. AISafety@IJCAI 2021 - 2020
- [j15]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): 1936-1954 (2020) - [c43]Ihsan Ullah, Sean Reilly, Michael G. Madden:
Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons. ICPR 2020: 5451-5458 - [c42]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: 317-332 - [i14]James Houston, Frank G. Glavin, Michael G. Madden:
Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis. CoRR abs/2003.11842 (2020)
2010 – 2019
- 2019
- [c41]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: 147-167 - [e1]Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5 [contents] - [i13]Hamda Ajmal, Michael G. Madden, Catherine G. Enright:
PROFET: Construction and Inference of DBNs Based on Mathematical Models. CoRR abs/1910.04895 (2019) - [i12]Hamda Ajmal, Michael G. Madden, Catherine G. Enright:
Dealing with Stochasticity in Biological ODE Models. CoRR abs/1910.04909 (2019) - [i11]Ihsan Ullah, Mario Manzo, Mitul Shah, Michael G. Madden:
Graph Convolutional Networks: analysis, improvements and results. CoRR abs/1912.09592 (2019) - 2018
- [c40]Frank G. Glavin, Michael G. Madden:
Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning. CIG 2018: 1-8 - [c39]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: 105-121 - [c38]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: 1-9 - [c37]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: 5862-5864 - [c36]Brett Drury, Ihsan Ullah, Michael G. Madden:
An Information Retrieval System for CBRNe Incidents. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 211-215 - [c35]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: 216-221 - [i10]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 abs/1806.04497 (2018) - [i9]Frank G. Glavin, Michael G. Madden:
DRE-Bot: A Hierarchical First Person Shooter Bot Using Multiple Sarsa(λ) Reinforcement Learners. CoRR abs/1806.05106 (2018) - [i8]Frank G. Glavin, Michael G. Madden:
Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning. CoRR abs/1806.05117 (2018) - [i7]Frank G. Glavin, Michael G. Madden:
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data. CoRR abs/1806.05455 (2018) - [i6]Frank G. Glavin, Michael G. Madden:
Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning. CoRR abs/1806.05554 (2018) - [i5]Frank G. Glavin, Michael G. Madden:
Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning. CoRR abs/1806.07637 (2018) - [i4]David L. Smyth, Frank G. Glavin, Michael G. Madden:
Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones. CoRR abs/1808.10784 (2018) - [i3]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 abs/1809.06244 (2018) - 2017
- [c34]James O'Neill, Michael G. Madden, Eamon Dolan:
Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements. AIME 2017: 86-91 - 2016
- [c33]Ted Scully, Michael G. Madden:
Promoting Cooperation and Fairness in Self-interested Multi-Agent Systems. ICAART (2) 2016: 172-180 - [c32]Ted Scully, Michael G. Madden:
Facilitating Multi-agent Coalition Formation in Self-interested Environments. ICAART (Revised Selected Papers) 2016: 265-282 - 2015
- [j14]Ankita Garg, Catherine G. Enright, Michael G. Madden:
Improving Spectral Library Search by Redefining Similarity Measures. J. Chem. Inf. Model. 55(5): 963-971 (2015) - [j13]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): 180-192 (2015) - [c31]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: 344-351 - [c30]Claire Gallagher, Michael G. Madden, Brian D'Arcy:
A Bayesian Classification Approach to Improving Performance for a Real-World Sales Forecasting Application. ICMLA 2015: 475-480 - [c29]Ankita Garg, Catherine G. Enright, Michael G. Madden:
On Asymmetric Similarity Search. ICMLA 2015: 649-654 - [p2]Federico Chesani, Catherine G. Enright, Marco Montali, Michael G. Madden:
Monitoring in the Healthcare Setting. Foundations of Biomedical Knowledge Representation 2015: 71-80 - [p1]Catherine G. Enright, Michael G. Madden:
Modelling and Monitoring the Individual Patient in Real Time. Foundations of Biomedical Knowledge Representation 2015: 107-136 - 2014
- [j12]Shehroz S. Khan, Michael G. Madden:
One-class classification: taxonomy of study and review of techniques. Knowl. Eng. Rev. 29(3): 345-374 (2014) - [j11]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): 855-862 (2014) - [c28]Ted Scully, Michael G. Madden:
Forming Coalitions in Self-interested Multi-agent Environments Through the Promotion of Fair and Cooperative Behaviour. EUMAS 2014: 144-158 - 2013
- [j10]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): 323-342 (2013) - [i2]Shehroz S. Khan, Michael G. Madden:
One-Class Classification: Taxonomy of Study and Review of Techniques. CoRR abs/1312.0049 (2013) - 2012
- [c27]Frank G. Glavin, Michael G. Madden:
DRE-Bot: A hierarchical First Person Shooter bot using multiple Sarsa(λ) reinforcement learners. CGAMES 2012: 148-152 - 2011
- [c26]Catherine G. Enright, Michael G. Madden, Niall Madden, John G. Laffey:
Clinical Time Series Data Analysis Using Mathematical Models and DBNs. AIME 2011: 159-168 - 2010
- [j9]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): 26-53 (2010) - [c25]Catherine G. Enright, Michael G. Madden, Stuart 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: 452-459 - [c24]Abdenour Bounsiar, Michael G. Madden:
Support vector one-class classification for multiple-distribution data. EUSIPCO 2010: 1189-1193 - [c23]Ricardo Santiago-Mozos, Imtiaz A. Khan, Michael G. Madden:
Is Topotecan Effective at Killing Cancer Cells? ICDM Workshops 2010: 732-739 - [c22]David McGlynn, Michael G. Madden:
An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition. SGAI Conf. 2010: 339-352 - [c21]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: 3132-3144
2000 – 2009
- 2009
- [j8]Michael G. Madden:
On the classification performance of TAN and general Bayesian networks. Knowl. Based Syst. 22(7): 489-495 (2009) - [c20]Frank G. Glavin, Michael G. Madden:
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data. AICS 2009: 124-133 - [c19]Shehroz S. Khan, Michael G. Madden:
A Survey of Recent Trends in One Class Classification. AICS 2009: 188-197 - [c18]Gunnar Lucko, Kannan Swaminathan, Perakath C. Benjamin, Michael G. Madden:
Rapid Deployment of Simulation Models for Building Construction Applications. WSC 2009: 2733-2744 - 2008
- [c17]Norm Aleks, Stuart 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: 49-56 - [c16]Michael G. Madden:
On the Classification Performance of TAN and General Bayesian Networks. SGAI Conf. 2008: 3-16 - [c15]Michael G. Madden, Tom Howley:
A Machine Learning Application for Classification of Chemical Spectra. SGAI Conf. (Applications) 2008: 77-90 - [c14]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: 2479-2487 - 2007
- [j7]Michael G. Madden, Sarah Jane Delany:
About the authors. Artif. Intell. Rev. 27(4): 203-206 (2007) - [j6]Michael G. Madden, Sarah Jane Delany:
Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07). Artif. Intell. Rev. 27(4): 207-208 (2007) - 2006
- [j5]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): 363-370 (2006) - [j4]Niall O'Connor, Michael G. Madden:
A neural network approach to predicting stock exchange movements using external factors. Knowl. Based Syst. 19(5): 371-378 (2006) - [c13]Tom Howley, Michael G. Madden:
An Evolutionary Approach to Automatic Kernel Construction. ICANN (2) 2006: 417-426 - [c12]Michael G. Madden:
Learning curve application to space shuttle processing simulations. WSC 2006: 1240-1247 - 2005
- [j3]Tom Howley, Michael G. Madden:
The Genetic Kernel Support Vector Machine: Description and Evaluation. Artif. Intell. Rev. 24(3-4): 379-395 (2005) - [j2]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): 217-224 (2005) - [c11]Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons:
Context-Sensitive Regression Analysis for Distributed Data. ADMA 2005: 292-299 - [c10]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: 785-790 - [c9]Niall O'Connor, Michael G. Madden:
A Neural Network Approach to Predicting Stock Exchange Movements using External Factors. SGAI Conf. (Applications) 2005: 64-77 - [c8]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: 209-222 - [c7]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: 1251-1259 - 2004
- [j1]Michael G. Madden, Tom Howley:
Transfer of Experience Between Reinforcement Learning Environments with Progressive Difficulty. Artif. Intell. Rev. 21(3-4): 375-398 (2004) - [c6]Enda Ridge, Michael G. Madden, Gerard Lyons:
The Evolution of Probabilistic Reciprocity in a Multi-agent Environment with Neighborhoods. CIA 2004: 123-136 - [c5]Ted Scully, Michael G. Madden, Gerard Lyons:
Coalition calculation in a dynamic agent environment. ICML 2004 - [c4]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: 181-192 - 2003
- [c3]Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons:
Distributed Regression for Heterogeneous Data Sets. IDA 2003: 544-553 - 2002
- [c2]Michael G. Madden:
A New Bayesian Network Structure for Classification Tasks. AICS 2002: 203-208 - [c1]Michael G. Madden, Desmond Chambers:
Evaluation of student attitudes to learning the Java language. PPPJ/IRE 2002: 125-130 - [i1]Michael G. Madden:
Evaluation of the Performance of the Markov Blanket Bayesian Classifier Algorithm. CoRR cs.LG/0211003 (2002)
Coauthor Index
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