Diego Arenas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
2
Active years
2023–2025
Best venue rank
C
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCS | i-QLS: Quantum-Supported Algorithm for Least Squares Optimization in Non-linear Regression. | Supreeth Mysore Venkatesh, Antonio Macaluso, Diego Arenas, Matthias Klusch, Andreas Dengel |
| 2024 | IGARSS | Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications. | Francisco Alejandro Mena, Diego Arenas, Marcela Charfuelan, Marlon Nuske, Andreas Dengel |
| 2023 | IGARSS | A Comparative Assessment of Multi-View Fusion Learning For Crop Classification. | Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel |
| 2023 | IGARSS | 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 |
| 2023 | IGARSS | 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 |
| 2023 | IGARSS | 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 |
| 2023 | IGARSS | 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 |