HERNANDEZ PEREZ, MARIA YASMIN
INGENIERÍA Y TECNOLOGÍA · Nivel 1
Desde 2020 es Professor-Researcher en TecNM/Cenidet
| Nombre | MARIA YASMIN HERNANDEZ PEREZ |
|---|---|
| Área | INGENIERÍAS Y DESARROLLO TECNOLÓGICO |
| Campo | INGENIERÍA Y TECNOLOGÍA |
| Disciplina | COMPUTACIÓN |
| Especialidad | CIENCIAS COMPUTACIONALES |
| CVU | 277696 |
| Institución | |
|---|---|
| Dependencia | CENTRO NACIONAL DE INVESTIGACION Y DESARROLLO TECNOLOGICO |
| Entidad | MORELOS |
| Nivel | 1 |
| Vigencia | Inicio: 01/01/2025 |
| Fin: 31/12/2029 |
Publicaciones ORCID
- 2026
- Counting of Students in Educational Environments Using Pretrained Convolutional Neural Networks
- Towards Adaptive Tutoring: A Proposed Self-efficacy Behavior Model for Intelligent Learning Environments
- 2025
- Through the Youth Eyes: Training Depression Detection Algorithms with Eye Tracking Data IEEE Latin America Transactions
- Enhancing Dropout Prediction Models Through Feature Selection Techniques
- Intelligent Student Counting System Tolerant to Occlusions Based on Convolutional Neural Networks
- 2024
- AMI/IoT Data Model for Public Lighting in México Using Lz4 Compression, IPFS and Blockchain Programming and Computer Software
- Representation of Traffic Congestion: A Multicriteria Analysis Approach Based on Distances Programming and Computer Software
- Comportamiento de la mirada y análisis mediante aprendizaje automático de la depresión en la juventud: una revisión sistemática XIKUA Boletín Científico de la Escuela Superior de Tlahuelilpan
- A New Approach for Counting and Identification of Students Sentiments in Online Virtual Environments Using Convolutional Neural Networks
- School Dropout Prediction with Class Balancing and Hyperparameter Configuration