Neural Minimax Classifiers. - Rocío Alaíz-Rodríguez; Jesús Cid-Sueiro (ICANN, 2002)

Minimax strategies for training classifiers under unknown priors. - Rocío Alaíz-Rodríguez; Jesús Cid-Sueiro (NNSP, 2002)

Text classification based on posterior probability estimation and neural networks. - Rocío Alaíz-Rodríguez; Jesús Cid-Sueiro (PRIS, 2002)

Local estimation of posterior class probabilities to minimize classification errors. - Alicia Guerrero-Curieses; Jesús Cid-Sueiro; Rocío Alaíz-Rodríguez; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 2004)

A fixed-point algorithm to minimax learning with neural networks. - Alicia Guerrero-Curieses; Rocío Alaíz-Rodríguez; Jesús Cid-Sueiro (IEEE Trans. Syst. Man Cybern. Part C, 2004)

Tool Insert Wear Classification Using Statistical Descriptors and Neuronal Networks. - Enrique Alegre; Rocío Alaíz-Rodríguez; Joaquín Barreiro; M. Viñuela (CIARP, 2005)

Loss functions to combine learning and decision in multiclass problems. - Alicia Guerrero-Curieses; Rocío Alaíz-Rodríguez; Jesús Cid-Sueiro (Neurocomputing, 2005)

Minimax classifiers based on neural networks. - Rocío Alaíz-Rodríguez; Alicia Guerrero-Curieses; Jesús Cid-Sueiro (Pattern Recognit., 2005)

Minimax Regret Classifier for Imprecise Class Distributions. - Rocío Alaíz-Rodríguez; Alicia Guerrero-Curieses; Jesús Cid-Sueiro (J. Mach. Learn. Res., 2007)

Local Decision Bagging of Binary Neural Classifiers. - Rocío Alaíz-Rodríguez (Canadian AI, 2008)

Assessing the Impact of Changing Environments on Classifier Performance. - Rocío Alaíz-Rodríguez; Nathalie Japkowicz (Canadian AI, 2008)

Classification and Quantification Based on Image Analysis for Sperm Samples with Uncertain Damaged/Intact Cell Proportions. - Lidia Sánchez; Víctor González-Castro; Enrique Alegre; Rocío Alaíz-Rodríguez (ICIAR, 2008)

Visualizing Classifier Performance on Different Domains. - Rocío Alaíz-Rodríguez; Nathalie Japkowicz; Peter E. Tischer (ICTAI (2), 2008)

A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains. - Rocío Alaíz-Rodríguez; Nathalie Japkowicz; Peter E. Tischer (ECML/PKDD (2), 2008)

Improving Classification under Changes in Class and Within-Class Distributions. - Rocío Alaíz-Rodríguez; Alicia Guerrero-Curieses; Jesús Cid-Sueiro (IWANN (1), 2009)

Cost-sensitive learning based on Bregman divergences. - Raúl Santos-Rodríguez; Alicia Guerrero-Curieses; Rocío Alaíz-Rodríguez; Jesús Cid-Sueiro (Mach. Learn., 2009)

Surface Finish Control in Machining Processes Using Haralick Descriptors and Neuronal Networks. - Enrique Alegre; Rocío Alaíz-Rodríguez; Joaquín Barreiro; Eduardo Fidalgo; Laura Fernández-Robles (CompIMAGE, 2010)

Estimating Class Proportions in Boar Semen Analysis Using the Hellinger Distance. - Víctor González-Castro; Rocío Alaíz-Rodríguez; Laura Fernández-Robles; Roberto Guzmán-Martínez; Enrique Alegre (IEA/AIE (1), 2010)

Feature Selection Stability Assessment Based on the Jensen-Shannon Divergence. - Roberto Guzmán-Martínez; Rocío Alaíz-Rodríguez (ECML/PKDD (1), 2011)

Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift. - Rocío Alaíz-Rodríguez; Alicia Guerrero-Curieses; Jesús Cid-Sueiro (Neurocomputing, 2011)

Texture and moments-based classification of the acrosome integrity of boar spermatozoa images. - Enrique Alegre; Víctor González-Castro; Rocío Alaíz-Rodríguez; María Teresa García-Ordás (Comput. Methods Programs Biomed., 2012)

A unifying view on dataset shift in classification. - Jose G. Moreno-Torres; Troy Raeder; Rocío Alaíz-Rodríguez; Nitesh V. Chawla; Francisco Herrera (Pattern Recognit., 2012)

Class distribution estimation based on the Hellinger distance. - Víctor González-Castro; Rocío Alaíz-Rodríguez; Enrique Alegre (Inf. Sci., 2013)

Assessing Feature Selection Techniques for a Colorectal Cancer Prediction Model. - Nahúm Cueto-López; Rocío Alaíz-Rodríguez; María Teresa García-Ordás; Carmen González-Donquiles; Vicente Martín (SOCO-CISIS-ICEUTE, 2017)

Combining shape and contour features to improve tool wear monitoring in milling processes. - María Teresa García-Ordás; Enrique Alegre-Gutiérrez; Víctor González-Castro; Rocío Alaíz-Rodríguez (Int. J. Prod. Res., 2018)

Use of Natural Language Processing to Identify Inappropriate Content in Text. - Sergio Merayo-Alba; Eduardo Fidalgo; Víctor González-Castro; Rocío Alaíz-Rodríguez; Javier Velasco-Mata (HAIS, 2019)

A comparative study on feature selection for a risk prediction model for colorectal cancer. - Nahúm Cueto-López; María Teresa García-Ordás; Verónica Dávila-Batista; Víctor Moreno; Nuria Aragonés; Rocío Alaíz-Rodríguez (Comput. Methods Programs Biomed., 2019)

File Name Classification Approach to Identify Child Sexual Abuse. - Mhd Wesam Al-Nabki; Eduardo Fidalgo; Enrique Alegre; Rocío Alaíz-Rodríguez (ICPRAM, 2020)

A Machine Learning Approach for Lamb Meat Quality Assessment Using FTIR Spectra. - Rocío Alaíz-Rodríguez; Andrew C. Parnell (IEEE Access, 2020)

Short Text Classification Approach to Identify Child Sexual Exploitation Material. - Mhd Wesam Al-Nabki; Eduardo Fidalgo; Enrique Alegre; Rocío Alaíz-Rodríguez (CoRR, 2020)

Machine Learning Techniques for the Detection of Inappropriate Erotic Content in Text. - Gonzalo Molpeceres Barrientos; Rocío Alaíz-Rodríguez; Víctor González-Castro; Andrew C. Parnell (Int. J. Comput. Intell. Syst., 2020)

An information theoretic approach to quantify the stability of feature selection and ranking algorithms. - Rocío Alaíz-Rodríguez; Andrew C. Parnell (Knowl. Based Syst., 2020)

Rectification and Super-Resolution Enhancements for Forensic Text Recognition. - Pablo Blanco-Medina; Eduardo Fidalgo; Enrique Alegre; Rocío Alaíz-Rodríguez; Francisco Jáñez-Martino; Alexandra Bonnici (Sensors, 2020)

Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications. - Deisy Chaves; Eduardo Fidalgo; Enrique Alegre; Rocío Alaíz-Rodríguez; Francisco Jáñez-Martino; George Azzopardi (Sensors, 2020)

Trustworthiness of spam email addresses using machine learning. - Francisco Jáñez-Martino; Rocío Alaíz-Rodríguez; Víctor González-Castro; Eduardo Fidalgo (DocEng, 2021)

Detecting malware using text documents extracted from spam email through machine learning. - Luis Ángel Redondo-Gutierrez; Francisco Jáñez-Martino; Eduardo Fidalgo; Enrique Alegre; Víctor González-Castro; Rocío Alaíz-Rodríguez (DocEng, 2022)

RankSum - An unsupervised extractive text summarization based on rank fusion. - Akanksha Joshi; Eduardo Fidalgo; Enrique Alegre; Rocío Alaíz-Rodríguez (Expert Syst. Appl., 2022)

Phishing websites detection using a novel multipurpose dataset and web technologies features. - Manuel Sánchez-Paniagua; Eduardo Fidalgo; Enrique Alegre; Rocío Alaíz-Rodríguez (Expert Syst. Appl., 2022)

PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification. - Luis Felipe Castaño; Eduardo Fidalgo Fernandez; Rocío Alaíz-Rodríguez; Enrique Alegre (IEEE Access, 2023)

SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring. - Amin Shoari Nejad; Rocío Alaíz-Rodríguez; Gerard D. McCarthy; Brian Kelleher; Anthony Grey; Andrew C. Parnell (CoRR, 2023)

A review of spam email detection: analysis of spammer strategies and the dataset shift problem. - Francisco Jáñez-Martino; Rocío Alaíz-Rodríguez; Víctor González-Castro; Eduardo Fidalgo; Enrique Alegre (Artif. Intell. Rev., 2023)

Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach. - Francisco Jáñez-Martino; Rocío Alaíz-Rodríguez; Víctor González-Castro; Eduardo Fidalgo; Enrique Alegre (Appl. Soft Comput., 2023)

A comparative study on feature selection for a risk prediction model for colorectal cancer. - Nahúm Cueto-López; María Teresa García-Ordás; Verónica Dávila-Batista; V. Moreno; Nuria Aragonés; Rocío Alaíz-Rodríguez (CoRR, 2024)

RankSum An unsupervised extractive text summarization based on rank fusion. - A. Joshi; Eduardo Fidalgo; Enrique Alegre; Rocío Alaíz-Rodríguez (CoRR, 2024)

Tool wear monitoring using an online, automatic and low cost system based on local texture. - María Teresa García-Ordás; Enrique Alegre-Gutiérrez; Rocío Alaíz-Rodríguez; Víctor González-Castro (CoRR, 2024)

Combining shape and contour features to improve tool wear monitoring in milling processes. - María Teresa García-Ordás; Enrique Alegre-Gutiérrez; Victor González-Castro; Rocío Alaíz-Rodríguez (CoRR, 2024)

SERT: A transformer based model for multivariate temporal sensor data with missing values for environmental monitoring. - Amin Shoari Nejad; Rocío Alaíz-Rodríguez; Gerard D. McCarthy; Brian Kelleher; Anthony Grey; Andrew Parnell (Comput. Geosci., 2024)

On persuasion in spam email: A multi-granularity text analysis. - Francisco Jáñez-Martino; Alberto Barrón-Cedeño; Rocío Alaíz-Rodríguez; Víctor González-Castro; Arianna Muti (Expert Syst. Appl., 2025)

Spam email classification based on cybersecurity potential risk using natural language processing. - Francisco Jáñez-Martino; Rocío Alaíz-Rodríguez; Víctor González-Castro; Eduardo Fidalgo; Enrique Alegre (Knowl. Based Syst., 2025)

Underage Detection through a Multi-Task and MultiAge Approach for Screening Minors in Unconstrained Imagery. - Christopher Gaul; Eduardo Fidalgo; Enrique Alegre; Rocío Alaíz-Rodríguez; Eri Pérez Corral (CoRR, 2025)

PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction. - Luis Felipe Castaño; Eduardo Fidalgo; Enrique Alegre; Rocío Alaíz-Rodríguez; Raul Orduna; Francesco Zola (CoRR, 2025)