Diego Arenas

According to our database, Diego Arenas authored at least 18 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach.

Francisco Alejandro Mena, Diego Arenas, Andreas Dengel

CoRR, January, 2025

2024

Common Practices and Taxonomy in Deep Multiview Fusion for Remote Sensing Applications.

Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation.

Francisco Alejandro Mena, Diego Arenas, Andreas Dengel

CoRR, 2024

In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data.

Francisco Alejandro Mena, Diego Arenas, Andreas Dengel

CoRR, 2024

Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction.

Francisco Alejandro Mena, Deepak Pathak, Hiba Najjar, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Miro Miranda, Jayanth Siddamsetty, Marlon Nuske, Marcela Charfuelan, Diego Arenas, Michaela Vollmer, Andreas Dengel

CoRR, 2024

Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications.

Francisco Alejandro Mena, Diego Arenas, Marcela Charfuelan, Marlon Nuske, Andreas Dengel

Proceedings of the IGARSS 2024, 2024

2023

Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications.

Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel

CoRR, 2023

Influence of Data Cleaning Techniques on Sub-Field Yield Predictions.

Cristhian Sanchez, Deepak Pathak, Miro Miranda, Marcela Charfuelan, Patrick Helber, Marlon Nuske, Benjamin Bischke, Peter Habelitz, Nafisur Rahman, Francisco Alejandro Mena, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level.

Deepak Pathak, Miro Miranda, Francisco Alejandro Mena, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing.

Hiba Najjar, Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Francisco Alejandro Mena, Miro Miranda, Deepak Pathak, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Comparative Assessment of Multi-View Fusion Learning For Crop Classification.

Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models.

Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Deepak Pathak, Miro Miranda, Hiba Najjar, Francisco Alejandro Mena, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2020

MLJ: A Julia package for composable machine learning.

Anthony D. Blaom, Franz J. Király, Thibaut Liénart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer

J. Open Source Softw., 2020

2019

Design choices for productive, secure, data-intensive research at scale in the cloud.

Diego Arenas, Jon Atkins, Clare Austin, David Beavan, Alvaro Cabrejas Egea, Stephen Carlysle-Davies, Ian Carter, Rob Clarke, James Cunningham, Tom Doel, Oliver Forrest, Evelina Gabasova, James Geddes, James Hetherington, Radka Jersakova, Franz J. Király, Catherine Lawrence, Jules Manser, Martin T. O'Reilly, James Robinson, Helen Sherwood-Taylor, Serena Tierney, Catalina A. Vallejos, Sebastian J. Vollmer, Kirstie J. Whitaker

CoRR, 2019

2018

Timetable rearrangement to cope with railway maintenance activities.

Diego Arenas, Paola Pellegrini, Saïd Hanafi, Joaquin Rodriguez

Comput. Oper. Res., 2018

The Autonomous Train.

Damien Trentesaux, Rudy Dahyot, Abel Ouedraogo, Diego Arenas, Sébastien Lefebvre, Walter Schön, Benjamin Lussier, Hugues Cheritel

Proceedings of the 13th Annual Conference on System of Systems Engineering, 2018

2016

Contributions on microscopic approaches to solve the train timetabling problem and its integration to the performance of infrastructure maintenance activities. (Contributions d'un modèle microscopique à la résolution du problème deconstruction d'une grille horaire et à la planification des activités demaintenance de l'infrastructure ferroviaire).

Diego Arenas

PhD thesis, 2016

2014

Solving the Periodic Timetabling Problem using a Genetic Algorithm.

Diego Arenas, Remy Chevirer, Saïd Hanafi, Joaquin Rodriguez

CoRR, 2014