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Miguel De-la-Torre
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2020 – today
- 2024
- [j9]Wilson Castro, Jimy Oblitas, Luis Nuñez
, Ives Yoplac, Himer Avila-George, Miguel De-la-Torre
Adulterant estimation in paprika powder using deep learning and chemometrics through near-infrared spectroscopy. Neural Comput. Appl. 36(23): 14263-14273 (2024) - [c11]Néstor Fernando Delgadillo Jáuregui, Miguel De-la-Torre, Quiriat Jearim Gutiérrez Peña, Ivan E. Villalon-Turrubiates, Juan Pablo Rivera-Caicedo:
Fusion of Electrical Resistivity Tomography and Satellite Imagery For Precision Agriculture. IGARSS 2024: 3626-3630 - 2023
- [j8]Wilson Castro
Radial grid reflectance correction for hyperspectral images of fruits with rounded surfaces. Comput. Electron. Agric. 213: 108179 (2023) - [c10]Ivan E. Villalon-Turrubiates, Miguel De-la-Torre, Maria J. Llovera-Torres:
Multispectral Classification of Remote Sensing Imagery for Archaeological Land Use Analysis with Machine Learning Techniques. IGARSS 2023: 7253-7256 - 2022
- [j7]Erasmo Misael Rentería-Vargas, Carlos Jesús Zúñiga Aguilar, Jesse Yoe Rumbo Morales
Neural Network-Based Identification of a PSA Process for Production and Purification of Bioethanol. IEEE Access 10: 27771-27782 (2022) - [j6]Roberto Lomelí-Huerta, Juan Pablo Rivera Caicedo
An approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF. PeerJ Comput. Sci. 8: e979 (2022) - [c9]Erasmo Misael Rentería-Vargas, Carlos Jesús Zúñiga Aguilar, Jesse Yoe Rumbo Morales, Miguel De-la-Torre, José-Antonio Cervantes, Roberto Lomelí-Huerta, Gerardo Ortiz-Torres, Felipe De Jesus Sorcia-Vazquez, René Osorio Sánchez:
Identification by Recurrent Neural Networks applied to a Pressure Swing Adsorption Process for Ethanol Purification. SPA 2022: 128-134 - 2021
- [c8]Roberto Lomelí-Huerta, Himer Avila-George, Juan Pablo Rivera Caicedo, Miguel De-la-Torre:
Water Pollution Detection in Acapulco Coasts Using Merged Data from the Sentinel-2 and Sentinel-3 Satellites. IGARSS 2021: 1518-1521 - 2020
- [c7]Omar Alejandro Cordova Gallardo, Miguel De-la-Torre, Luis Ayala Carazas
Geonote: A Field Notebook and Database for Geology. IGARSS 2020: 3223-3226
2010 – 2019
- 2019
- [j5]Wilson Castro
Classification of Cape Gooseberry Fruit According to its Level of Ripeness Using Machine Learning Techniques and Different Color Spaces. IEEE Access 7: 27389-27400 (2019) - 2015
- [j4]Miguel De-la-Torre
Individual-specific management of reference data in adaptive ensembles for face re-identification. IET Comput. Vis. 9(5): 732-740 (2015) - [j3]Miguel De-la-Torre
Partially-supervised learning from facial trajectories for face recognition in video surveillance. Inf. Fusion 24: 31-53 (2015) - [j2]Miguel De-la-Torre
An adaptive ensemble-based system for face recognition in person re-identification. Mach. Vis. Appl. 26(6): 741-773 (2015) - [j1]Miguel De-la-Torre
Adaptive skew-sensitive ensembles for face recognition in video surveillance. Pattern Recognit. 48(11): 3385-3406 (2015) - [c6]Miguel De-la-Torre
Adaptive skew-sensitive fusion of ensembles and their application to face re-identification. IJCNN 2015: 1-8 - [c5]Francisco E. Oliva, Oscar S. Dalmau
Classification of Different Vegetation Types Combining Two Information Sources Through a Probabilistic Segmentation Approach. MICAI (2) 2015: 382-392 - 2014
- [c4]Miguel De-la-Torre
Self-Updating with Facial Trajectories for Video-to-Video Face Recognition. ICPR 2014: 1669-1674 - 2013
- [c3]Miguel De-la-Torre
An individual-specific strategy for management of reference data in adaptive ensembles for person re-identification. ICDP 2013: 1-7 - 2012
- [c2]Miguel De-la-Torre
A comparison of adaptive matchers for screening of faces in video surveillance. CISDA 2012: 1-8 - [c1]Miguel De-la-Torre
Incremental update of biometric models in face-based video surveillance. IJCNN 2012: 1-8
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last updated on 2024-10-07 21:17 CEST by the dblp team
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