Middleware for distributed services and mobile applications. - Aitor Uribarren; Jorge Parra; Juan Pedro Uribe; Maider Zamalloa; Kepa Makibar (InterSense, 2006)

Using genetic algorithms to weight acoustic features for speaker recognition. - Maider Zamalloa; Germán Bordel; Luis Javier Rodríguez; Mikel Peñagarikano; Juan Pedro Uribe (INTERSPEECH, 2006)

Feature Selection Based on Genetic Algorithms for Speaker Recognition. - Maider Zamalloa; Germán Bordel; Luis Javier Rodríguez; Mikel Peñagarikano (Odyssey, 2006)

Feature dimensionality reduction through Genetic Algorithms for faster speaker recognition. - Maider Zamalloa; Luis Javier Rodríguez-Fuentes; Mikel Peñagarikano; Germán Bordel; Juan Pedro Uribe (EUSIPCO, 2008)

Increasing robustness to training-test mismatch in speaker verification through shallow source modelling. - Maider Zamalloa; Luis Javier Rodríguez-Fuentes; Mikel Peñagarikano; Germán Bordel; Juan Pedro Uribe (EUSIPCO, 2008)

Comparing genetic algorithms to principal component analysis and linear discriminant analysis in reducing feature dimensionality for speaker recognition. - Maider Zamalloa; Luis Javier Rodríguez; Mikel Peñagarikano; Germán Bordel; Juan Pedro Uribe (GECCO, 2008)

Improving robustness in open set speaker identification by shallow source modeling. - Maider Zamalloa; Luis Javier Rodríguez; Mikel Peñagarikano; Germán Bordel; Juan Pedro Uribe (Odyssey, 2008)

An Online Speaker Tracking System for Ambient Intelligence Environments. - Maider Zamalloa; Mikel Peñagarikano; Luis Javier Rodríguez-Fuentes; Germán Bordel; Juan Pedro Uribe (ICAART (1), 2010)

Low-latency online speaker tracking on the AMI Corpus of meeting conversations. - Maider Zamalloa; Luis Javier Rodríguez-Fuentes; Germán Bordel; Mikel Peñagarikano; Juan Pedro Uribe (ICASSP, 2010)

Embedded object detection applying Deep Neural Networks in railway domain. - Mikel Etxeberria-Garcia; Fernando Ezaguirre; Joanes Plazaola; Unai Muñoz; Maider Zamalloa (DSD, 2020)

Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation. - Mikel Etxeberria-Garcia; Mikel Labayen; Maider Zamalloa; Nestor Arana-Arexolaleiba (SII, 2020)

Visual Odometry in Challenging Environments: An Urban Underground Railway Scenario Case. - Mikel Etxeberria-Garcia; Maider Zamalloa; Nestor Arana-Arexolaleiba; Mikel Labayen (IEEE Access, 2022)

Fear Field: Adaptive constraints for safe environment transitions in Shielded Reinforcement Learning. - Haritz Odriozola-Olalde; Nestor Arana-Arexolaleiba; Maider Zamalloa; Jon Pérez-Cerrolaza; Jokin Arozamena-Rodríguez (AISafety/SafeRL@IJCAI, 2023)

Shielded Reinforcement Learning: A review of reactive methods for safe learning. - Haritz Odriozola-Olalde; Maider Zamalloa; Nestor Arana-Arexolaleiba (SII, 2023)

Towards robust shielded reinforcement learning through adaptive constraints and exploration: The fear field framework. - Haritz Odriozola-Olalde; Maider Zamalloa; Nestor Arana-Arexolaleiba; Jon Pérez-Cerrolaza (Eng. Appl. Artif. Intell., 2025)