SAHN with SEP/COP and SPADE, to Build a General Web Navigation Adaptation System Using Server Log Information. - Olatz Arbelaitz; Ibai Gurrutxaga; Aizea Lojo; Javier Muguerza; Iñigo Perona (CAEPIA, 2011)

Adaptation of the User Navigation Scheme using Clustering and Frequent Pattern Mining Techiques for Profiling. - Olatz Arbelaitz; Ibai Gurrutxaga; Aizea Lojo; Javier Muguerza; Jesús M. Pérez; Iñigo Perona (KDIR, 2012)

Enhancing a Web Usage Mining based Tourism Website Adaptation with Content Information. - Olatz Arbelaitz; Ibai Gurrutxaga; Aizea Lojo; Javier Muguerza; Jesús M. Pérez; Iñigo Perona (KDIR, 2012)

Web usage and content mining to extract knowledge for modelling the users of the Bidasoa Turismo website and to adapt it. - Olatz Arbelaitz; Ibai Gurrutxaga; Aizea Lojo; Javier Muguerza; Jesús Maria Pérez; Iñigo Perona (Expert Syst. Appl., 2013)

Global versus modular link prediction approach for discapnet: website focused to visually impaired people. - Olatz Arbelaitz; Aizea Lojo; Javier Muguerza; Iñigo Perona (FedCSIS, 2014)

Web mining for navigation problem detection and diagnosis in Discapnet: A website aimed at disabled people. - Olatz Arbelaitz; Aizea Lojo; Javier Muguerza; Iñigo Perona (J. Assoc. Inf. Sci. Technol., 2016)

Data Science in Healthcare: Benefits, Challenges and Opportunities. - Ziawasch Abedjan; Nozha Boujemaa; Stuart Campbell 002; Patricia Casla; Supriyo Chatterjea; Sergio Consoli; Cristóbal Costa Soria; Paul Czech; Marija Despenic; Chiara Garattini; Dirk Hamelinck; Adrienne Heinrich; et al. (Data Science for Healthcare, 2019)

The ECSEL FRACTAL Project: A Cognitive Fractal and Secure edge based on a unique Open-Safe-Reliable-Low Power Hardware Platform. - Aizea Lojo; Leire Rubio; Jesus Miguel Ruano; Tania Di Mascio; Luigi Pomante; Enrico Ferrari; Ignacio Garcìa Vega; Frank K. Gürkaynak; Mikel Labayen Esnaola; Vanessa Orani; Jaume Abella 001 (DSD, 2020)

Mutual information based feature subset selection in multivariate time series classification. - Josu Ircio; Aizea Lojo; Usue Mori; José Antonio Lozano 001 (Pattern Recognit., 2020)

A Multivariate Time Series Streaming Classifier for Predicting Hard Drive Failures [Application Notes]. - Josu Ircio; Aizea Lojo; José Antonio Lozano 001; Usue Mori (IEEE Comput. Intell. Mag., 2022)

Quantum artificial vision for defect detection in manufacturing. - Daniel Guijo; Victor Onofre; Gianni Del Bimbo; Samuel Mugel; Daniel Estepa; Xabier De Carlos; Ana Adell; Aizea Lojo; Josu Bilbao; Roman Orus (CoRR, 2022)

A framework for adapting online prediction algorithms to outlier detection over time series. - Alaiñe Iturria; Jokin Labaien; Santi Charramendieta; Aizea Lojo; Javier Del Ser; Francisco Herrera (Knowl. Based Syst., 2022)

Minimum Recall-Based Loss Function for Imbalanced Time Series Classification. - Josu Ircio; Aizea Lojo; Usue Mori; Simon Malinowski; José Antonio Lozano 001 (IEEE Trans. Knowl. Data Eng., 2023)

Towards Active Participant-Centric Vertical Federated Learning: Some Representations May Be All You Need. - Jon Irureta; Jon Imaz; Aizea Lojo; Marco González; Iñigo Perona (CoRR, 2024)

Ali-AUG: Innovative Approaches to Labeled Data Augmentation using One-Step Diffusion Model. - Ali Hamza; Aizea Lojo; Adrián Núñez-Marcos; Aitziber Atutxa (CoRR, 2024)