Diego Arenas

29 papers C 6Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Iterative quantum-assisted least squares optimization with convergence guarantees.
J. Comput. Sci.
Supreeth Mysore Venkatesh, Antonio Macaluso, Diego Arenas, Matthias Klusch, Andreas Dengel
2025 J jnl
In the search for optimal multi-view learning models for crop classification with global remote sensing data.
Int. J. Appl. Earth Obs. Geoinformation
Francisco Alejandro Mena, Diego Arenas, Andreas Dengel
2025 J jnl
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach.
CoRR
Francisco Alejandro Mena, Diego Arenas, Andreas Dengel
2025 J jnl
Missing data as augmentation in the Earth Observation domain: A multi-view learning approach.
Neurocomputing
Francisco Alejandro Mena, Diego Arenas, Andreas Dengel
2025 J jnl
On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?
CoRR
Francisco Alejandro Mena, Diego Arenas, Miro Miranda, Andreas Dengel
2025 J jnl
Quantum-Assisted Correlation Clustering.
CoRR
Antonio Macaluso, Supreeth Mysore Venkatesh, Diego Arenas, Matthias Klusch, Andreas Dengel
2025 — conf
i-QLS: Quantum-Supported Algorithm for Least Squares Optimization in Non-linear Regression.
ICCS (2)
Supreeth Mysore Venkatesh, Antonio Macaluso, Diego Arenas, Matthias Klusch, Andreas Dengel
2025 J jnl
i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression.
CoRR
Supreeth Mysore Venkatesh, Antonio Macaluso, Diego Arenas, Matthias Klusch, Andreas Dengel
2024 J jnl
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction.
CoRR
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
2024 J jnl
Common Practices and Taxonomy in Deep Multiview Fusion for Remote Sensing Applications.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
2024 C conf
Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications.
IGARSS
Francisco Alejandro Mena, Diego Arenas, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
2024 J jnl
Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications.
CoRR
Francisco Alejandro Mena, Diego Arenas, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
2024 J jnl
In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data.
CoRR
Francisco Alejandro Mena, Diego Arenas, Andreas Dengel
2024 J jnl
Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation.
CoRR
Francisco Alejandro Mena, Diego Arenas, Andreas Dengel
2023 C conf
A Comparative Assessment of Multi-View Fusion Learning For Crop Classification.
IGARSS
Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
2023 J jnl
A Comparative Assessment of Multi-view fusion learning for Crop Classification.
CoRR
Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
2023 J jnl
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications.
CoRR
Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
2023 C conf
Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models.
IGARSS
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
2023 C conf
Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing.
IGARSS
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
2023 C conf
Influence of Data Cleaning Techniques on Sub-Field Yield Predictions.
IGARSS
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
2023 J jnl
Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level.
CoRR
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
2023 C conf
Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level.
IGARSS
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
2020 J jnl
MLJ: A Julia package for composable Machine Learning.
CoRR
Anthony D. Blaom, Franz J. Király, Thibaut Liénart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer
2020 J jnl
MLJ: A Julia package for composable machine learning.
J. Open Source Softw.
Anthony D. Blaom, Franz J. Király, Thibaut Liénart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer
2019 J jnl
Design choices for productive, secure, data-intensive research at scale in the cloud.
CoRR
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
2018 — conf
The Autonomous Train.
SoSE
Damien Trentesaux, Rudy Dahyot, Abel Ouedraogo, Diego Arenas, Sébastien Lefebvre, Walter Schön, Benjamin Lussier, Hugues Cheritel
2018 J jnl
Timetable rearrangement to cope with railway maintenance activities.
Comput. Oper. Res.
Diego Arenas, Paola Pellegrini, Saïd Hanafi, Joaquin Rodriguez
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
2014 J jnl
Solving the Periodic Timetabling Problem using a Genetic Algorithm.
CoRR
Diego Arenas, Remy Chevirer, Saïd Hanafi, Joaquin Rodriguez