Refining Exoplanet Detection Using Supervised Learning and Feature Engineering. - Margarita Constanza Bugueño; Francisco Alejandro Mena; Mauricio Araya (CLEI, 2018)

A Binary Variational Autoencoder for Hashing. - Francisco Alejandro Mena; Ricardo Ñanculef (CIARP, 2019)

Revisiting Machine Learning from Crowds a Mixture Model for Grouping Annotations. - Francisco Alejandro Mena; Ricardo Ñanculef (CIARP, 2019)

Classical Machine Learning Techniques in the Search of Extrasolar Planets. - Francisco Alejandro Mena; Margarita Constanza Bugueño; Mauricio Araya (CLEI Electron. J., 2019)

Evaluating Bregman Divergences for Probability Learning from Crowd. - Francisco Alejandro Mena; Ricardo Ñanculef (CoRR, 2019)

Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing. - Ricardo Ñanculef; Francisco Alejandro Mena; Antonio Macaluso; Stefano Lodi; Claudio Sartori 001 (CIARP, 2021)

Harnessing the power of CNNs for unevenly-sampled light-curves using Markov Transition Field. - Margarita Constanza Bugueño; Gabriel Molina; Francisco Alejandro Mena; P. Olivares; Mauricio Araya (Astron. Comput., 2021)

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; et al. (IGARSS, 2023)

A Comparative Assessment of Multi-View Fusion Learning For Crop Classification. - Francisco Alejandro Mena; Diego Arenas; Marlon Nuske; Andreas Dengel 001 (IGARSS, 2023)

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; et al. (IGARSS, 2023)

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; et al. (IGARSS, 2023)

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; et al. (IGARSS, 2023)

Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications. - Francisco Alejandro Mena; Diego Arenas; Marlon Nuske; Andreas Dengel 001 (CoRR, 2023)

Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications. - Francisco Alejandro Mena; Diego Arenas; Marcela Charfuelan; Marlon Nuske; Andreas Dengel 001 (IGARSS, 2024)

Xai-Guided Enhancement of Vegetation Indices for Crop Mapping. - Hiba Najjar; Francisco Alejandro Mena; Marlon Nuske; Andreas Dengel 001 (IGARSS, 2024)

Assessment of Sentinel-2 Spatial and Temporal Coverage Based on the Scene Classification Layer. - Cristhian Sanchez; Francisco Alejandro Mena; Marcela Charfuelan; Marlon Nuske; Andreas Dengel 001 (IGARSS, 2024)

Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction. - 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; et al. (CoRR, 2024)

In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data. - Francisco Alejandro Mena; Diego Arenas; Andreas Dengel 001 (CoRR, 2024)

Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation. - Francisco Alejandro Mena; Diego Arenas; Andreas Dengel 001 (CoRR, 2024)

Common Practices and Taxonomy in Deep Multiview Fusion for Remote Sensing Applications. - Francisco Alejandro Mena; Diego Arenas; Marlon Nuske; Andreas Dengel 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks. - Miro Miranda; Francisco Alejandro Mena; Andreas Dengel 001 (IDA, 2025)

Multi-Sensor Model for Earth Observation Robust to Missing Data via Sensor Dropout and Mutual Distillation. - Francisco Alejandro Mena; Dino Ienco; Cássio F. Dantas; Roberto Interdonato; Andreas Dengel 001 (IEEE Access, 2025)

Missing data as augmentation in the Earth Observation domain: A multi-view learning approach. - Francisco Alejandro Mena; Diego Arenas; Andreas Dengel 001 (Neurocomputing, 2025)

On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation? - Francisco Alejandro Mena; Diego Arenas; Miro Miranda; Andreas Dengel 001 (CoRR, 2025)