117 citations · 304 across the 14 of their papers we have counts for
14 papers
Exploring Multi-Agent Reinforcement Learning for Unrelated Parallel Machine Scheduling
Maria Zampella, Urtzi Otamendi, Xabier Belaunzaran +4
Scheduling problems pose significant challenges in resource, industry, and operational management. This paper addresses the Unrelated Parallel Machine Scheduling Problem (UPMS) wit…
Integrated Water Resource Management in the Segura Hydrographic Basin: An Artificial Intelligence Approach
Urtzi Otamendi, Mikel Maiza, Igor G. Olaizola +3
Managing resources effectively in uncertain demand, variable availability, and complex governance policies is a significant challenge. This paper presents a paradigmatic framework…
A scalable framework for annotating photovoltaic cell defects in electroluminescence images
Urtzi Otamendi, Inigo Martinez, Igor G. Olaizola +1
The correct functioning of photovoltaic (PV) cells is critical to ensuring the optimal performance of a solar plant. Anomaly detection techniques for PV cells can result in signifi…
Integrating pre-processing pipelines in ODC based framework
U. Otamendi, I. Azpiroz, M. Quartulli +1
Using on-demand processing pipelines to generate virtual geospatial products is beneficial to optimizing resource management and decreasing processing requirements and data storage…
Geo-imagery management and statistical processing in a regional context using Open Data Cube
U. Otamendi, I. Azpiroz, M. Quartulli +4
We propose a methodology to manage and process remote sensing and geo-imagery data for non-expert users. The proposed system provides automated data ingestion and manipulation capa…
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…
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…
Distributed mining of large scale remote sensing image archives on public computing infrastructures
Luigi Mascolo, Marco Quartulli, Pietro Guccione +2
Earth Observation (EO) mining aims at supporting efficient access and exploration of petabyte-scale space- and airborne remote sensing archives that are currently expanding at rate…
Trace transform based method for color image domain identification
Igor G. Olaizola, Marco Quartulli, Julian Florez +1
Context categorization is a fundamental pre-requisite for multi-domain multimedia content analysis applications in order to manage contextual information in an efficient manner. In…
A review of EO image information mining
Marco Quartulli, Igor G. Olaizola
We analyze the state of the art of content-based retrieval in Earth observation image archives focusing on complete systems showing promise for operational implementation. The diff…