DR. FERNANDO WARIO VAZQUEZ
fernando.wario@academicos.udg.mx
Departamento de adscripción:
INGENIERIA ELECTRO-FOTONICA
Nombramiento: PROFESOR DE ASIGNATURA "A"
Categoría: TEMPORAL
Resumen curricular:
Fernando Wario es profesor de la Universidad de Guadalajara e investigador asociado del Instituto de Ciencias y Tecnologías de la Cognición (ISTC) en Roma, Italia. Obtuvo el grado de Doctor en Ciencias de la Computación por la Universidad Libre de Berlín (Freie Universität Berlin), Berlín (2018). Previo a su doctorado obtuvo el grado de maestro en Ciencias en Ingeniería en Electrónica y Computación (2010) e Ingeniero en Comunicaciones y Electrónica (2005) por la Universidad de Guadalajara. Entre sus áreas de interes se encuentran sistemas complejos, visión por computadora, etología computacional y sistemas bioinspirados.
Perfil de Investigador SNII:
Nivel SNII:
I
Área del conocimiento:
VIII: Ingenierías y Desarrollo Tecnológico
Campo de investigación:
Ingeniería
Periodo vigente:
1 de enero de 2025
-
31 de diciembre de 2029
Bases de datos bibliográficas:
Publicaciones del académico:
2025 - 11 articulos.
- Techniques of Machine Learning Mixed with Metaheuristic Methods
- Metaheuristic Techniques for Fine‐Tuning Parameter of Complex Systems
- Techniques of Machine Learning for Modifying the Search Strategy
- Metaheuristic Methods for Dimensional Reduction
- Metaheuristic Methods for Clustering
- Metaheuristic Methods for Regression
- Metaheuristic Methods for Classification
- Main Metaheuristic Techniques
- Fundamentals of Machine Learning
- Fundamental Machine Learning Methods
- Techniques of Machine Learning for Producing Metaheuristic Operators
2024 - 3 articulos.
- Machine Learning and Metaheuristic Computation
- Strong leaders don’t cheat: an evolutionary appraisal of population heterogeneity and leadership
- Identifying foraging spatial cues in beehive sound activity using machine learning methods
2023 - 4 articulos.
- Machine learning reveals the waggle drift's role in the honey bee dance communication system
- Machine learning reveals the waggle drift’s role in the honey bee dance communication system
- An Agent-Search Strategy for Contrast Enhancement in Medical Images
- Contrast Enhancement in Infrared and Color Images by Homomorphic Filtering and Cluster-Chaotic Optimization (CCO)
2021 - 3 articulos.
- An accurate Cluster chaotic optimization approach for digital medical image segmentation
- Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms, and Applications
- Bio-inspired Algorithms
2020 - 3 articulos.
- Lecture Notes in Computer Science
- Soundscape Indices: New Features for Classifying Beehive Audio Samples
- Motion Dynamics of Foragers in Honey Bee Colonies
2018 - 2 articulos.
- Tracking all members of a honey bee colony over their lifetime using learned models of correspondence
- Tracking all members of a honey bee colony over their lifetime
2017 - 2 articulos.
- Automatic detection and decoding of honey bee waggle dances
- A Computer Vision Based System for the Automatic Analysis of Social Networks in Honey Bee Colonies
2015 - 2 articulos.
- Visual registration and tracking for traffic monitoring
- Automatic methods for long-term tracking and the detection and decoding of communication dances in honeybees
2013 - 1 articulos.
2012 - 3 articulos.
- Automatic multiple circle detection based on artificial immune systems
- Circle detection on images using learning automata
- Fast algorithm for multiple-circle detection on images using learning automata
2011 - 1 articulos.
- Detección de primitivas circulares usando un algoritmo inspirado en el electromagnetismo Circle Detection Using an Electromagnetism-Inspired Algorithm
2010 - 1 articulos.