Francisco Alejandro Mena

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

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Assessment of Sentinel-2 Spatial and Temporal Coverage Based on the Scene Classification Layer.

[BibT_eX]

[DOI]

Cristhian Sanchez

Marcela Charfuelan

Proceedings of the IGARSS 2024, 2024

Xai-Guided Enhancement of Vegetation Indices for Crop Mapping.

[BibT_eX]

[DOI]

Hiba Najjar

Proceedings of the IGARSS 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Deepak Pathak

Miro Miranda

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Margarita Constanza Bugueño

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

2021

Harnessing the power of CNNs for unevenly-sampled light-curves using Markov Transition Field.

[BibT_eX]

[DOI]

Gabriel Molina

P. Olivares

Mauricio Araya

Astron. Comput., 2021

Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing.

[BibT_eX]

[DOI]

Antonio Macaluso

Stefano Lodi

Claudio Sartori

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2019

Evaluating Bregman Divergences for Probability Learning from Crowd.

[BibT_eX]

[DOI]

CoRR, 2019

Classical Machine Learning Techniques in the Search of Extrasolar Planets.

[BibT_eX]

[DOI]

Margarita Constanza Bugueño

Mauricio Araya

CLEI Electron. J., 2019

Revisiting Machine Learning from Crowds a Mixture Model for Grouping Annotations.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

A Binary Variational Autoencoder for Hashing.

[BibT_eX]

[DOI]

Margarita Constanza Bugueño

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018

Refining Exoplanet Detection Using Supervised Learning and Feature Engineering.

[BibT_eX]

[DOI]