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Publication search results
found 30 matches
- 2024
- 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) - 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) - 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) - 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) - 2023
- 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 - Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel:
A Comparative Assessment of Multi-View Fusion Learning For Crop Classification. IGARSS 2023: 5631-5634 - 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 - 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 - 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 - 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) - 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) - 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) - 2022
- Francisco Alejandro Madera-Ramírez, José Luis López-Martínez, Francisco Moo-Mena, Jorge R. Gomez-Montalvo:
CPU-GPU buffer communication using compute shader to fill volumes with spheres. J. Supercomput. 78(5): 6448-6460 (2022) - 2021
- 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) - Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing. CIARP 2021: 258-268 - Pedro Plaza, Manuel Castro, Elio San Cristóbal, Félix García Loro, Rosario Gil, Antonio Menacho, Manuel Blázquez, Blanca Quintana, Sergio Martín, Francisco Mur, Alejandro Macho, Pablo Baizán, Ramón Carrasco Borrego, Germán Carro Fernandez, África Lopez-Rey, Clara Pérez, Russ Meier, Edmundo Tovar:
Build your own robot. EDUCON 2021: 543-551 - Pedro Plaza, Manuel Castro, José-Manuel Sáez-López, Elio San Cristóbal, Rosario Gil, Antonio Menacho, Félix García Loro, Blanca Quintana, Sergio Martín, Manuel Blázquez, Alejandro Macho, Pablo Baizán, Francisco Mur, Germán Carro, Clara Pérez, Ramon Carrasco Borrego, África Lopez-Rey, Miguel Rodríguez-Artacho, José A. Ruipérez-Valiente:
Promoting Computational Thinking through Visual Block Programming Tools. EDUCON 2021: 1131-1136 - Pedro Plaza, Manuel Castro, Elio Sancristobal Ruiz, Pablo Orduña, Luis Rodriguez-Gil, Javier García-Zubía, Félix García Loro, Rosario Gil, Antonio Menacho, Manuel Blázquez, Blanca Quintana, Sergio Martín, Francisco Mur, Alejandro Macho, Pablo Baizán, Ramón Carrasco Borrego, Germán Carro, África Lopez-Rey, Clara Pérez, Slavka Tzanova:
Promoting Microelectronic Through Remote FPGA Based Laboratory. REV 2021: 514-524 - 2020
- Ken Herner, James Annis, Dillon Brout, Marcelle Soares-Santos, Richard Kessler, Masao Sako, Ray F. Butler, Zoheyr Doctor, Antonella Palmese, Sahar Allam, Douglas L. Tucker, Flavia Sobreira, Brian Yanny, H. Thomas Diehl, Joshua A. Frieman, Noemi Glaeser, Alyssa Garcia, N. F. Sherman, Keith C. Bechtol, Edo Berger, Hsinyu Chen, Christopher J. Conselice, Erika R. Cook, Philip S. Cowperthwaite, Tamara M. Davis, Alex Drlica-Wagner, David A. Finley, Ryan J. Foley, Juan García-Bellido, Mandeep S. Gill, Robert A. Gruendl, Daniel E. Holz, Nikolay Kuropatkin, Huan Lin, John P. Marriner, Jennifer L. Marshall, Thomas Matheson, Eric H. Neilsen, Francisco Paz-Chinchón, Marcus Sauseda, Daniel M. Scolnic, Peter K. G. Williams, Santiago Ávila, Emmanuel Bertin, Elizabeth Buckley-Geer, David L. Burke, Aurelio Carnero Rosell, Matias Carrasco Kind, Jorge Carretero, Luiz Nicolaci da Costa, Juan de Vicente, Shantanu Desai, Peter Doel, Tim F. Eifler, Spencer W. Everett, Pablo Fosalba, Enrique Gaztañaga, David W. Gerdes, Julia Gschwend, Gaston R. Gutiérrez, William G. Hartley, Devon L. Hollowood, Klaus Honscheid, David J. James, Elisabeth Krause, Kyler W. Kuehn, Ofer Lahav, Ting S. Li, Marcos Lima, Marcio A. G. Maia, Marisa C. March, Felipe Menanteau, Ramon Miquel, Andreas Alejandro Plazas, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, Ignacio Sevilla-Noarbe, Mathew C. Smith, Eric Suchyta, Gregory G. Tarlé, William C. Wester, Yuanyuan Zhang:
Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs. Astron. Comput. 33: 100425 (2020) - Pedro Plaza, Manuel Castro, Elio San Cristóbal, Félix García Loro, Rosario Gil, Antonio Menacho, Manuel Blázquez, Blanca Quintana, Sergio Martín, Francisco Mur, Alejandro Macho, Pablo Baizán, Manuel Carrasco, Germán Carro Fernandez, África Lopez-Rey, Clara Pérez, Russ Meier, Edmundo Tovar:
Open Activities And Technologies During COVID19 From The IEEE Student Branch at UNED. TALE 2020: 614-619 - Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing. CoRR abs/2007.08799 (2020) - Ben Henghes, Ofer Lahav, David W. Gerdes, E. Lin, Robert Morgan, Timothy M. C. Abbott, Michel Aguena, Sahar Allam, James Annis, Santiago Ávila, Emmanuel Bertin, David D. Brooks, David L. Burke, Aurelio Carnero Rosell, Matias Carrasco Kind, Jorge Carretero, Christopher J. Conselice, Matteo Costanzi, Luiz Nicolaci da Costa, J. DeVicente, Shantanu Desai, H. Thomas Diehl, Peter Doel, S. Everett, I. Ferrero, Joshua A. Frieman, Juan García-Bellido, Enrique Gaztañaga, Daniel Gruen, Robert A. Gruendl, Julia Gschwend, G. Gutierrez, William G. Hartley, Samuel R. Hinton, Klaus Honscheid, Ben Hoyle, David J. James, K. Kuehn, Nikolay Kuropatkin, Jennifer L. Marshall, Peter Melchior, Felipe Menanteau, Ramon Miquel, Ricardo Ogando, Antonella Palmese, Francisco Paz-Chinchón, Andreas Alejandro Plazas, Anita K. Römer, Carles Sánchez, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, M. Smith, Marcelle Soares-Santos, Eric Suchyta, Gregory G. Tarlé, C. To, R. D. Wilkinson:
Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects. CoRR abs/2009.12856 (2020) - S. Mucesh, William G. Hartley, Antonella Palmese, Ofer Lahav, L. Whiteway, A. Amon, Keith C. Bechtol, Gary M. Bernstein, Aurelio Carnero Rosell, Matias Carrasco Kind, A. Choi, K. Eckert, S. Everett, Daniel Gruen, Robert A. Gruendl, I. Harrison, E. M. Huff, Nikolay Kuropatkin, Ignacio Sevilla-Noarbe, Erin Sheldon, Brian Yanny, Michel Aguena, Sahar Allam, D. Bacon, Emmanuel Bertin, S. Bhargava, D. Brooks, Jorge Carretero, Francisco J. Castander, Christopher J. Conselice, Matteo Costanzi, Martín Crocce, Luiz Nicolaci da Costa, M. E. S. Pereira, J. DeVicente, Shantanu Desai, H. Thomas Diehl, Alex Drlica-Wagner, August E. Evrard, I. Ferrero, Brenna L. Flaugher, Pablo Fosalba, Joshua A. Frieman, Juan García-Bellido, Enrique Gaztañaga, David W. Gerdes, Julia Gschwend, G. Gutierrez, Samuel R. Hinton, Devon L. Hollowood, Klaus Honscheid, David J. James, K. Kuehn, Marcos Lima, H. Lin, Marcio A. G. Maia, Peter Melchior, Felipe Menanteau, Ramon Miquel, Robert Morgan, Francisco Paz-Chinchón, Andreas Alejandro Plazas, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, M. Smith, Eric Suchyta, Gregory G. Tarlé, D. Thomas, C. To, T. N. Varga, R. D. Wilkinson:
A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. CoRR abs/2012.05928 (2020) - 2019
- Francisco Alejandro Mena, Margarita Constanza Bugueño, Mauricio Araya:
Classical Machine Learning Techniques in the Search of Extrasolar Planets. CLEI Electron. J. 22(3) (2019) - Francisco Alejandro Mena, Ricardo Ñanculef:
A Binary Variational Autoencoder for Hashing. CIARP 2019: 131-141 - Francisco Alejandro Mena, Ricardo Ñanculef:
Revisiting Machine Learning from Crowds a Mixture Model for Grouping Annotations. CIARP 2019: 493-503 - Francisco Alejandro Mena, Ricardo Ñanculef:
Evaluating Bregman Divergences for Probability Learning from Crowd. CoRR abs/1901.10653 (2019) - 2018
- Margarita Constanza Bugueño, Francisco Alejandro Mena, Mauricio Araya:
Refining Exoplanet Detection Using Supervised Learning and Feature Engineering. CLEI 2018: 278-287 - 2015
- Francisco Alejandro Madera-Ramírez, Enrique Ayala, Francisco Moo-Mena:
Self-collision Detection using Sphere Chains. GRAPP 2015: 325-331 - 2013
- Alejandro Serrano, Pedro López-García, Francisco Bueno, Manuel V. Hermenegildo:
Sized Type Analysis for Logic Programs. Theory Pract. Log. Program. 13(4-5-Online-Supplement) (2013)
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