Labelling Drifts in a Fault Detection System for Wind Turbine Maintenance. - Iñigo Martinez; Elisabeth Viles; Iñaki Cabrejas (IDC, 2018)

A survey study of success factors in data science projects. - Iñigo Martinez; Elisabeth Viles; Igor G. Olaizola (IEEE BigData, 2021)

Data Science Methodologies: Current Challenges and Future Approaches. - Iñigo Martinez; Elisabeth Viles; Igor G. Olaizola (Big Data Res., 2021)

Simulation study on the fleet performance of shared autonomous bicycles. - Naroa Coretti Sánchez; Iñigo Martinez; Luis Alonso Pastor; Kent Larson (CoRR, 2021)

Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules. - Urtzi Otamendi; Iñigo Martinez; Marco Quartulli; Igor G. Olaizola; Elisabeth Viles; Werther Cambarau (CoRR, 2021)

ArchABM: an agent-based simulator of human interaction with the built environment. CO2 and viral load analysis for indoor air quality. - Iñigo Martinez; Jan L. Bruse; Ane M. Florez-Tapia; Elisabeth Viles; Igor G. Olaizola (CoRR, 2021)

Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum. - Juncal Alonso; Leire Orue-Echevarria; Eneko Osaba; Jesús López Lobo; Iñigo Martinez; Josu Díaz-de-Arcaya; Iñaki Etxaniz (Inf., 2021)

Closed-Form Diffeomorphic Transformations for Time Series Alignment. - Iñigo Martinez; Elisabeth Viles; Igor G. Olaizola (ICML, 2022)

A novel method for error analysis in radiation thermometry with application to industrial furnaces. - Iñigo Martinez; Urtzi Otamendi; Igor G. Olaizola; Roger Solsona; Mikel Maiza; Elisabeth Viles; Arturo Fernández; Ignacio Arzua (CoRR, 2022)

Diffeomorphic Transformations for Time Series Analysis: An Efficient Approach to Nonlinear Warping. - Iñigo Martinez (CoRR, 2023)

A Scalable Framework for Annotating Photovoltaic Cell Defects in Electroluminescence Images. - Urtzi Otamendi; Iñigo Martinez; Igor García Olaizola; Marco Quartulli (IEEE Trans. Ind. Informatics, 2023)