| 2025 | AINA | When Colorimetry Meets the Cloud: IoT-Enabled Health Monitoring at Home via Highly-Specific Gas Sensing. | Ismael Benito-Altamirano, Omar Romera-Aller, Miquel Alfaras, Zouhair Haddi, Anas Espinoso, Xavier Llaurad, Jos A. Sez, Cristian Fbrega Gallego |
| 2019 | HAIS | Dataset Weighting via Intrinsic Data Characteristics for Pairwise Statistical Comparisons in Classification. | Jos A. Sez, Pablo J. Villacorta, Emilio Corchado |
| 2018 | HAIS | Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification. | Jos A. Sez, Hctor Quintin, Bartosz Krawczyk, Michal Wozniak, Emilio Corchado |
| 2014 | HAIS | Improving the Behavior of the Nearest Neighbor Classifier against Noisy Data with Feature Weighting Schemes. | Jos A. Sez, Joaqun Derrac, Julin Luengo, Francisco Herrera |
| 2014 | IDEAL | Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering. | Jos A. Sez, Julin Luengo, Jerzy Stefanowski, Francisco Herrera |
| 2013 | HAIS | An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets. | Jos A. Sez, Mikel Galar, Julin Luengo, Francisco Herrera |
| 2012 | HAIS | A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees. | Jos A. Sez, Mikel Galar, Julin Luengo, Francisco Herrera |
| 2011 | ISDA | Fuzzy Rule Based Classification Systems versus crisp robust learners trained in presence of class noise's effects: A case of study. | Jos A. Sez, Julin Luengo, Francisco Herrera |
| 2010 | ISKE | A first study on the noise impact in classes for Fuzzy Rule Based Classification Systems. | Jos A. Sez, Julin Luengo, Francisco Herrera |