CALHIDRA 3.0 - New software application for river water quality prediction based on RWQM1. - Claudia M. Cardona; Cristina Martin 002; Antonio Salterain; Alain Castro; D. San-Martín; Eduardo Ayesa (Environ. Model. Softw., 2011)

Analysing, completing, and generating influent data for WWTP modelling: A critical review. - Cristina Martin 002; Peter A. Vanrolleghem (Environ. Model. Softw., 2014)

Agent Based Simulations for the Estimation of Sustainability Indicators. - Ander Pijoan; Cruz E. Borges; Iraia Oribe-Garcia; Cristina Martin Andonegui; Ainhoa Alonso-Vicario (ICCS, 2015)

An Optimisation Strategy for the Catalytic Transformation of Bioethanol into Olefins Using Computational Intelligence. - Gorka Sorrosal; Cristina Martin Andonegui; Cruz Enrique Borges; Ana María Macarulla; Ainhoa Alonso-Vicario (ITAT, 2015)

Evolutionary Dynamic Optimization of Control Trajectories for the Catalytic Transformation of the Bioethanol-To-Olefins Process using Neural Networks. - Gorka Sorrosal; Cruz E. Borges; Martin Holeña; Ana María Macarulla; Cristina Martin Andonegui; Ainhoa Alonso-Vicario (GECCO (Companion), 2016)

Bridging the Gap between Real and Simulated Environments: A Hybrid Agent-Based Smart Home Simulator Architecture for Complex Systems. - Oihane Kamara Esteban; Gorka Sorrosal; Ander Pijoan; Tony Castillo-Calzadilla; Xabiar Iriarte-Lopez; Ana M. Macarulla-Arenaza; Cristina Martin Andonegui; Ainhoa Alonso-Vicario; Cruz E. Borges (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Artificial neural network modelling of the bioethanol-to-olefins process on a HZSM-5 catalyst treated with alkali. - Gorka Sorrosal; Eloy Irigoyen; Cruz E. Borges; Cristina Martin Andonegui; Ana María Macarulla; Ainhoa Alonso-Vicario (Appl. Soft Comput., 2017)

New methodology for facilitating the food wastage quantification. Identifying gaps and data inconsistencies. - Hector Barco Cobalea; Iraia Oribe-Garcia; Maria Virginia Vargas Viedma; Cruz Enrique Borges; Cristina Martin Andonegui; Ainhoa Alonso-Vicario (CoRR, 2019)

Smart GIS platform that facilitates the digitalization of the integrated urban drainage system. - Cristina Martin Andonegui; Oihane Kamara Esteban; Iker Berzosa; Jose Luis Badiola (Environ. Model. Softw., 2020)

Urban district modelling simulation-based analysis: under which scenarios can we achieve a Positive Energy District? - Tony Castillo-Calzadilla; Simon Fessler; Cruz E. Borges; Cristina Martin Andonegui (SSD, 2021)

Systematic Analysis and Design of Water Networks With Solar Photovoltaic Energy. - Tony Castillo-Calzadilla; Cristina Martin Andonegui; Mikel Gómez-Goiri; Ana M. Macarulla-Arenaza; Cruz E. Borges (IEEE Trans. Engineering Management, 2022)

Missing Data Imputation in Daily Wearable Data for Improved Classification Performance. - Mikel Catalina; Ander Cejudo; Cristina Martin 002 (ICT4AWE, 2024)

Multicenter Prospective Blind External Validation of a Machine Learning Model for Predicting Heart Failure Decompensation: A 3-Hospital Validation Study. - Jon Kerexeta; Esperança Lladó Pascual; Cristina Martin 002; Nicola Goodfellow; Karina Anahi Ojanguren Carreira; Marco Manso; Barbara Guerra; Ladislav Stanke; Vohralík Tomás; Esteban Fabello; Tatiana Silva; Michael Scott; et al. (IWINAC (2), 2024)

Understanding Sleep Dynamics Gathered from Wearable Devices with Explainable Recurrent Neural Networks. - Ander Cejudo; Markel Arrojo; Aitor Almeida; Cristina Martin Andonegui (LOD (3), 2024)

Deep Learning Characterization of Volatile Organic Compounds with Spectrometer-on-Card. - Ander Cejudo; Markel Arrojo; Miriam Gutiérrez; Karen López-Linares; Hossam Haick; Iván Macía; Cristina Martin 002 (ICT4AWE, 2025)

Smart home-assisted anomaly detection system for older adults: a deep learning approach with a comprehensive set of daily activities. - Ander Cejudo; Andoni Beristain; Aitor Almeida; Kristin Rebescher; Cristina Martin 002; Iván Macía (Medical Biol. Eng. Comput., 2025)