Diego Arenas

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Venues

Université de Valenciennes et du Hainaut Cambrésis, France (PHD)

Education History

Université de Valenciennes et du Hainaut Cambrésis, France

PHD

Publications

Francisco 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
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction. CoRR (2024)
Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
Common Practices and Taxonomy in Deep Multiview Fusion for Remote Sensing Applications. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Francisco Alejandro Mena, Diego Arenas, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications. CoRR (2024)
Francisco Alejandro Mena, Diego Arenas, Andreas Dengel
Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation. CoRR (2024)
Francisco Alejandro Mena, Diego Arenas, Andreas Dengel
In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data. CoRR (2024)
Hiba Najjar, Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Francisco Mena, Miro Miranda, Deepak Pathak, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing. IGARSS (2023)
Deepak Pathak, Miro Miranda, Francisco Mena, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level. CoRR (2023)
Francisco Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
A Comparative Assessment of Multi-View Fusion Learning For Crop Classification. IGARSS (2023)
Cristhian Sanchez, Deepak Pathak, Miro Miranda, Marcela Charfuelan, Patrick Helber, Marlon Nuske, Benjamin Bischke, Peter Habelitz, Nafisur Rahman, Francisco Mena, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Andreas Dengel
Influence of Data Cleaning Techniques on Sub-Field Yield Predictions. IGARSS (2023)
Francisco Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
A Comparative Assessment of Multi-view fusion learning for Crop Classification. CoRR (2023)
Deepak Pathak, Miro Miranda, Francisco Mena, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level. IGARSS (2023)
Francisco Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications. CoRR (2023)
Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Deepak Pathak, Miro Miranda, Hiba Najjar, Francisco Mena, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models. IGARSS (2023)
Anthony D. Blaom, Franz J. Király, Thibaut Lienart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer
MLJ: A Julia package for composable Machine Learning. CoRR (2020)
Anthony D. Blaom, Franz J. Király, Thibaut Lienart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer
MLJ: A Julia package for composable machine learning. J. Open Source Softw. 5 (55) (2020)
Diego Arenas, Jon Atkins, Clare Austin, David Beavan, Alvaro Cabres 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
Design choices for productive, secure, data-intensive research at scale in the cloud. CoRR (2019)
Diego Arenas, Paola Pellegrini, Saïd Hanafi, Joaquin Rodriguez
Timetable rearrangement to cope with railway maintenance activities. Comput. Oper. Res. 95 (2018)
Damien Trentesaux, Rudy Dahyot, Abel Ouedraogo, Diego Arenas, Sébastien Lefebvre, Walter Schön, Benjamin Lussier, Hugues Cheritel
The Autonomous Train. SoSE (2018)
Diego Arenas, Remy Chevirer, Saïd Hanafi, Joaquin Rodriguez
Solving the Periodic Timetabling Problem using a Genetic Algorithm. CoRR (2014)

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Publication Activity (10 Years)

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Diego Arenas