Multi-modal co-learning for Earth observation: enhancing single-modality models via modality collaboration
Published in Machine Learning, 2025
Keywords: Multi-modal data, Co-learning, Earth observation, Missing modalities.
Publications
Selected list of publications. You can find my updated publication records on my Google Scholar profile.
Journal Articles
In the search for optimal multi-view learning models for crop classification with global remote sensing data
Published in International Journal of Applied Earth Observation and Geoinformation, 2025
Keywords: Multi-view learning, Data fusion, Earth observation, Crop classification.
Missing data as augmentation in the Earth Observation domain: A multi-view learning approach
Published in Neurocomputing, 2025
Keywords: Multi-view learning, Data augmentation, Robustness, Earth observation, Missing data.
Multi-sensor model for Earth observation robust to missing data via sensor dropout and mutual distillation
Published in IEEE Access, 2025
Keywords: Multi-sensor model, Earth observation, Robustness, Multi-task learning, Mutual distillation.
Adaptive fusion of multi-modal remote sensing data for optimal sub-field crop yield prediction
Published in Remote Sensing of Environment, 2025
Keywords: Crop yield prediction, Multi-modal remote sensing data, Time series, Adaptive fusion.
Common practices and taxonomy in deep multi-view fusion for remote sensing applications
Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024
Keywords: Earth observation, Multi-view learning, Data fusion.
On the quality of deep representations for Kepler light curves using variational auto-encoders
Published in Signals, 2021
Keywords: Deep Learning, Variational Autoencoder, Light Curves, Representation Learning, Time series data.
Harnessing the power of CNNs for unevenly-sampled light-curves using Markov transition field
Published in Astronomy and Computing, 2021
Keywords: Deep Learning, Exoplanet detection, Representation Learning, Time series Imaging.
Conference Papers
Co-Learning for missing arbitrary modalities in multi-modal classification
Accepted in Discovery Science, 2026
Keywords: Multi-modal classification, Co-learning, Missing modalities, Robustness.
YieldSAT: A multimodal benchmark dataset for high-resolution crop yield prediction
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Keywords: Crop yield prediction, Dataset, Remote sensing.
On what depends the robustness of multi-source models to missing data in Earth observation?
Published in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025
Keywords: Vegetation Applications, Multi-view learning, Missing data.
Impact assessment of missing data in model predictions for Earth observation applications
Published in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024
Keywords: Vegetation Applications, Multi-view learning, Missing data.
Increasing the robustness of model predictions to missing sensors in Earth observation
Published in MACLEAN workshop at ECML-PKDD, 2024
Keywords: Earth observation, Multi-sensor learning, Missing sensors.
A comparative assessment of multi-view fusion learning for crop classification
Published in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023
Keywords: Crop-type mapping, Multi-view learning, Data fusion, Remote sensing.
Predicting crop yield with machine learning: An extensive analysis of input modalities and models on a field and sub-field level
Published in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023
Keywords: Crop yield prediction, Remote Sensing, Multi-Modal Learning.
Revisiting Machine Learning from Crowds a Mixture Model for Grouping Annotations
Published in Iberoamerican Congress on Pattern Recognition (CIARP), 2019
Keywords: Label Noise, Machine Learning, Latent variable.
A binary variational autoencoder for hashing
Published in Iberoamerican Congress on Pattern Recognition (CIARP), 2019
Keywords: Information Retrieval, Hashing, Variational AutoEncoder, Text Data, Deep Learning.
Refining exoplanet detection using supervised learning and feature engineering
Published in Latin American Computer Conference (CLEI), 2018
Keywords: Exoplanet detection, Machine learning, Feature extraction.