117 citations · 254 across the 7 of their papers we have counts for
7 papers
Closed-Form Diffeomorphic Transformations for Time Series Alignment
Iñigo Martinez, Elisabeth Viles, Igor G. Olaizola
Time series alignment methods call for highly expressive, differentiable and invertible warping functions which preserve temporal topology, i.e diffeomorphisms. Diffeomorphic warpi…
A survey study of success factors in data science projects
Iñigo Martinez, Elisabeth Viles, Igor G. Olaizola
In recent years, the data science community has pursued excellence and made significant research efforts to develop advanced analytics, focusing on solving technical problems at th…
A novel method for error analysis in radiation thermometry with application to industrial furnaces
Iñigo Martinez, Urtzi Otamendi, Igor G. Olaizola +5
Accurate temperature measurements are essential for the proper monitoring and control of industrial furnaces. However, measurement uncertainty is a risk for such a critical paramet…
ArchABM: an agent-based simulator of human interaction with the built environment. and viral load analysis for indoor air quality
Iñigo Martinez, Jan L. Bruse, Ane M. Florez-Tapia +2
Recent evidence suggests that SARS-CoV-2, which is the virus causing a global pandemic in 2020, is predominantly transmitted via airborne aerosols in indoor environments. This call…
Labelling Drifts in a Fault Detection System for Wind Turbine Maintenance
Iñigo Martinez, Elisabeth Viles, Iñaki Cabrejas
A failure detection system is the first step towards predictive maintenance strategies. A popular data-driven method to detect incipient failures and anomalies is the training of n…
Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules
Urtzi Otamendi, Iñigo Martinez, Marco Quartulli +3
In the operation & maintenance (O&M) of photovoltaic (PV) plants, the early identification of failures has become crucial to maintain productivity and prolong components' life. Of…
Data Science Methodologies: Current Challenges and Future Approaches
Iñigo Martinez, Elisabeth Viles, Igor G. Olaizola
Data science has employed great research efforts in developing advanced analytics, improving data models and cultivating new algorithms. However, not many authors have come across…