| 2025 | CBMS | Improving Diabetic Retinopathy Classification Using Class Imbalance Correction Techniques. | Caroline Knig, Pedro Copado, Enrique Romero, Javier Zarranz-Ventura, Alfredo Vellido |
| 2025 | ESANN | Screening Dyslexia for English: Impact of Heterogeneity in Demographic Variables. | Enrique Romero, Luz Rello |
| 2020 | IJCNN | Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis. | Luis Miguel Nez, Margarida Juli-Sap, Enrique Romero, Carles Ars, Alfredo Vellido, Ana-Paula Candiota |
| 2017 | ASSETS | DytectiveU: A Game to Train the Difficulties and the Strengths of Children with Dyslexia. | Luz Rello, Arturo Macias, Maria Herrera, Camila de Ros, Enrique Romero, Jeffrey P. Bigham |
| 2017 | IJCNN | Benchmarking the selection of the hidden-layer weights in extreme learning machines. | Enrique Romero |
| 2016 | CEC | A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration. | Ivn Paz Ortiz, ngela Nebot, Enrique Romero, Francisco Mugica, Alfredo Vellido |
| 2013 | ESANN | A quotient basis kernel for the prediction of mortality in severe sepsis patients. | Vicent J. Ribas Ripoll, Enrique Romero, Juan Carlos Ruiz-Rodrguez, Alfredo Vellido |
| 2013 | IJCAI | Identifying Useful Human Correction Feedback from an On-Line Machine Translation Service. | Alberto Barrn-Cedeo, Llus Mrquez, Carlos A. Henrquez Q., Llus Formiga, Enrique Romero, Jonathan May |
| 2012 | IJCNN | Towards interpretable classifiers with blind signal separation. | Hctor Ruiz, Ian H. Jarman, Jos David Martn-Guerrero, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa |
| 2011 | ICANN | Using the Leader Algorithm with Support Vector Machines for Large Data Sets. | Enrique Romero |
| 2010 | IJCNN | Cohort-based kernel visualisation with scatter matrices. | Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa |
| 2009 | IWANN | Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database. | Enrique Romero, Alfredo Vellido, Josep M. Sopena |
| 2008 | ESANN | DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization. | Enrique Romero, Margarida Juli-Sap, Alfredo Vellido |
| 2008 | ICMLA | Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors. | Paulo J. G. Lisboa, Enrique Romero, Alfredo Vellido, Margarida Juli-Sap, Carles Ars |
| 2008 | KES | Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset. | Alfredo Vellido, Margarida Juli-Sap, Enrique Romero, Carles Ars |
| 2007 | ICANN | Selection of Basis Functions Guided by the L2 Soft Margin. | Ignacio Barrio, Enrique Romero, Llus Belanche |
| 2007 | ICANN | Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors. | Ignacio Barrio, Enrique Romero, Llus Belanche |
| 2007 | ICANN | Incremental and Decremental Learning for Linear Support Vector Machines. | Enrique Romero, Ignacio Barrio, Llus Belanche |
| 2007 | IJCNN | Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression. | Ignacio Barrio, Enrique Romero, Llus Belanche |
| 2007 | IJCNN | Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting. | Julio J. Valds, Enrique Romero, Ruben Gonzalez |
| 2007 | IWANN | Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective. | Enrique Romero, Julio J. Valds, Alan J. Barton |
| 2006 | ESANN | On the selection of hidden neurons with heuristic search strategies for approximation. | Ignacio Barrio, Enrique Romero, Llus A. Belanche Muoz |
| 2006 | IDEAL | Comparing Support Vector Machines and Feed-forward Neural Networks with Similar Parameters. | Enrique Romero, Daniel Toppo |
| 2005 | IJCNN | An experimental study of several decision issues for feature selection with multi-layer perceptrons. | Enrique Romero, Josep M. Sopena |
| 2005 | IWANN | Selection of Weights for Sequential Feed-Forward Neural Networks: An Experimental Study. | Enrique Romero |
| 2004 | IJCNN | Exploiting diversity of margin-based classifiers. | Enrique Romero, Xavier Carreras, Llus Mrquez |
| 2003 | IJCNN | Feature selection forcing overtraining may help to improve performance. | Enrique Romero, Josep M. Sopena, Gorka Navarrete, Ren Alquzar |