| 2025 | IDEAL | FUCO: Fuzzy Counterfactuals Examples. | Francisco Javier Cantero Zorita, Vctor Acea, Rubn R. Fernndez, Isaac Martn de Diego, Javier M. Moguerza |
| 2023 | IDEAL | Extracting Knowledge from Incompletely Known Models. | Alejandro D. Peribez, Alberto Fernndez-Isabel, Isaac Martn de Diego, Andrea Condado, Javier M. Moguerza |
| 2022 | FedCSIS | Automatic detection of potential customers by opinion mining and intelligent agents. | Ral Moreno, Alberto Fernndez-Isabel, Isaac Martn de Diego, Javier M. Moguerza, Carmen Lancho, Marina Cuesta |
| 2021 | IDEAL | From Classification to Visualization: A Two Way Trip. | Marina Cuesta, Isaac Martn de Diego, Carmen Lancho, Vctor Acea, Javier M. Moguerza |
| 2021 | IDEAL | A Complexity Measure for Binary Classification Problems Based on Lost Points. | Carmen Lancho, Isaac Martn de Diego, Marina Cuesta, Vctor Acea, Javier M. Moguerza |
| 2020 | IDEAL | Unified Performance Measure for Binary Classification Problems. | Ana R. Redondo, Jorge Navarro, Rubn R. Fernndez, Isaac Martn de Diego, Javier M. Moguerza, Juan Jos Fernndez-Muoz |
| 2019 | IDEAL | Weighted Nearest Centroid Neighbourhood. | Vctor Acea, Javier M. Moguerza, Isaac Martn de Diego, Rubn R. Fernndez |
| 2019 | IDEAL | Relevance Metric for Counterfactuals Selection in Decision Trees. | Rubn R. Fernndez, Isaac Martn de Diego, Vctor Acea, Javier M. Moguerza, Alberto Fernndez-Isabel |
| 2011 | CSEDU | VRTUOSI - A Pioneer Virtual Exchange Program between Five European Universities. | Andrs Redchuk, Javier M. Moguerza, Javier Cano-Montero |
| 2007 | CIARP | Monitoring Nonlinear Profiles Using Support Vector Machines. | Javier M. Moguerza, Alberto Muoz, Stelios Psarakis |
| 2006 | CIARP | Fusion of Gaussian Kernels Within Support Vector Classification. | Javier M. Moguerza, Alberto Muoz, Isaac Martn de Diego |
| 2006 | ICANN | Alternatives to Parameter Selection for Kernel Methods. | Alberto Muoz, Isaac Martn de Diego, Javier M. Moguerza |
| 2006 | IDEAL | On the Fusion of Polynomial Kernels for Support Vector Classifiers. | Isaac Martn de Diego, Javier M. Moguerza, Alberto Muoz |
| 2005 | CIARP | A Naive Solution to the One-Class Problem and Its Extension to Kernel Methods. | Alberto Muoz, Javier M. Moguerza |
| 2005 | ICANN | Building Smooth Neighbourhood Kernels via Functional Data Analysis. | Alberto Muoz, Javier M. Moguerza |
| 2004 | CIARP | One-Class Support Vector Machines and Density Estimation: The Precise Relation. | Alberto Muoz, Javier M. Moguerza |
| 2004 | SSPR | Solving the One-Class Problem Using Neighbourhood Measures. | Javier M. Moguerza, Alberto Muoz |
| 2004 | SSPR | Improving Support Vector Classification via the Combination of Multiple Sources of Information. | Javier M. Moguerza, Alberto Muoz, Isaac Martn de Diego |
| 2003 | ICANN | Support Vector Machine Classifiers for Asymmetric Proximities. | Alberto Muoz, Isaac Martn de Diego, Javier M. Moguerza |
| 2003 | KES | Combining Support Vector Machines and ARTMAP Architectures for Natural Classification. | Alberto Muoz, Javier M. Moguerza |
| 2002 | ICANN | Detecting the Number of Clusters Using a Support Vector Machine Approach. | Javier M. Moguerza, Alberto Muoz, Manuel Martn-Merino |