TORRES ROMAN, DENI LIBRADO
SIN INFORMACIÓN · Nivel 1
Desde 1996 es Researcher 3C en Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Deni Torres-Román received the Ph.D. degree in telecommunication from the Technical University Dresden, Germany, in 1986. He was a Professor with the University of Oriente, Cuba. He has been a Researcher 3-C with CINVESTAV- IPN, Guadalajara, Mexico, since 1996. He...
Deni Torres-Román received the Ph.D. degree in telecommunication from the Technical University Dresden, Germany, in 1986. He was a Professor with the University of Oriente, Cuba. He has been a Researcher 3-C with CINVESTAV- IPN, Guadalajara, Mexico, since 1996. He has coauthored a book about data transmission. His research interests include hardware and software design for applications in the telecommunication area. He was the recipient of the Telecommunication Research Prize in 1993 from AHCIET Association and the 1995 Best Paper Award from AHCIET Review, Spain. In recent years, he is working with tensor algebra for MS- and HS-Imaging, and video processing.
| Nombre | DENI LIBRADO TORRES ROMAN |
|---|---|
| Área | INGENIERÍAS Y DESARROLLO TECNOLÓGICO |
| Campo | SIN INFORMACIÓN |
| Disciplina | SIN INFORMACIÓN |
| Especialidad | REDES, ENTROPIA, ALGORITMOS, APLICACIONES |
| CVU | 20075 |
| Institución | |
|---|---|
| Dependencia | UNIDAD GUADALAJARA |
| Entidad | JALISCO |
| Nivel | 1 |
| Vigencia | Inicio: 01/01/2017 |
| Fin: 31/12/2033 | |
| Categoría: | EXTENSION 15 AÑOS |
Publicaciones ORCID
- 2025
- Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification Remote Sensing
- Sentinel-2 Masking CNNs Trained on Physics-Supervised Labels IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- 2024
- A Tensor Space for Multi-View and Multitask Learning Based on Einstein and Hadamard Products: A Case Study on Vehicle Traffic Surveillance Systems Sensors
- 2023
- A Semantic Segmentation Framework for Hyperspectral Imagery Based on Tucker Decomposition and 3DCNN Tested with Simulated Noisy Scenarios Remote Sensing
- Statistical Regularization for TomoSAR Imaging With Multiple Polarimetric Observations IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- 2021
- Analysis of multi-class classification performance metrics for remote sensing imagery imbalanced datasets Journal of Quantitative and Statistical Analysis
- Statistical analysis and characterization of Landsat 8 satellite images of forest wildfires regions ECORFAN Journal-Democratic Republic of Congo
- 2020
- Noise analysis using Tucker decomposition and PCA on spectral images ECORFAN Journal Bolivia
- Spectral Imagery Tensor Decomposition for Semantic Segmentation of Remote Sensing Data through Fully Convolutional Networks Remote Sensing
- 2019
- Interface design for water, vegetation and city segmentation in multispectral images using SVM (TOLTECA) Journal of Technology and Innovation