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2020 – today
- 2024
[j3]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: 4797-4818 (2024)- [c12]Francisco Alejandro Mena, Diego Arenas, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications. IGARSS 2024: 967-971 - [c11]Cristhian Sanchez, Francisco Alejandro Mena, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Assessment of Sentinel-2 Spatial and Temporal Coverage Based on the Scene Classification Layer. IGARSS 2024: 4099-4103 - [c10]Hiba Najjar, Francisco Alejandro Mena, Marlon Nuske, Andreas Dengel:
Xai-Guided Enhancement of Vegetation Indices for Crop Mapping. IGARSS 2024: 4140-4144 - [i11]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:
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction. CoRR abs/2401.11844 (2024) - [i10]Francisco Alejandro Mena, Diego Arenas, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications. CoRR abs/2403.14297 (2024) - [i9]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 abs/2403.16582 (2024) - [i8]Cristhian Sanchez, Francisco Alejandro Mena, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layer. CoRR abs/2406.18584 (2024) - [i7]Hiba Najjar, Francisco Alejandro Mena, Marlon Nuske, Andreas Dengel:
XAI-Guided Enhancement of Vegetation Indices for Crop Mapping. CoRR abs/2407.08298 (2024) - [i6]Francisco Alejandro Mena, Diego Arenas, Andreas Dengel:
Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation. CoRR abs/2407.15512 (2024) - 2023
- [c9]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:
Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models. IGARSS 2023: 2763-2766 - [c8]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:
Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level. IGARSS 2023: 2767-2770 - [c7]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:
Influence of Data Cleaning Techniques on Sub-Field Yield Predictions. IGARSS 2023: 4852-4855 - [c6]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:
Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing. IGARSS 2023: 5014-5017 - [c5]Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel:
A Comparative Assessment of Multi-View Fusion Learning For Crop Classification. IGARSS 2023: 5631-5634 - [i5]Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel:
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications. CoRR abs/2301.01200 (2023) - [i4]Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel:
A Comparative Assessment of Multi-view fusion learning for Crop Classification. CoRR abs/2308.05407 (2023) - [i3]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:
Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level. CoRR abs/2308.08948 (2023) - 2021
- [j2]Margarita Constanza Bugueño, Gabriel Molina, Francisco Alejandro Mena, P. Olivares, Mauricio Araya:
Harnessing the power of CNNs for unevenly-sampled light-curves using Markov Transition Field. Astron. Comput. 35: 100461 (2021) - [c4]Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing. CIARP 2021: 258-268 - 2020
- [i2]Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing. CoRR abs/2007.08799 (2020)
2010 – 2019
- 2019
- [j1]Francisco Alejandro Mena, Margarita Constanza Bugueño, Mauricio Araya:
Classical Machine Learning Techniques in the Search of Extrasolar Planets. CLEI Electron. J. 22(3) (2019) - [c3]Francisco Alejandro Mena, Ricardo Ñanculef:
A Binary Variational Autoencoder for Hashing. CIARP 2019: 131-141 - [c2]Francisco Alejandro Mena, Ricardo Ñanculef:
Revisiting Machine Learning from Crowds a Mixture Model for Grouping Annotations. CIARP 2019: 493-503 - [i1]Francisco Alejandro Mena, Ricardo Ñanculef:
Evaluating Bregman Divergences for Probability Learning from Crowd. CoRR abs/1901.10653 (2019) - 2018
- [c1]Margarita Constanza Bugueño, Francisco Alejandro Mena, Mauricio Araya:
Refining Exoplanet Detection Using Supervised Learning and Feature Engineering. CLEI 2018: 278-287
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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