Dr. ERIK VALDEMAR CUEVAS JIMÉNEZ
Resumen curricular:
El doctor Erik Cuevas es profesor en el Centro Universitario de Ciencias Exactas e ingenierías de la Universidad de Guadalajara. En 2006 obtuvo doctor en Inteligencia Artificial por la Universidad Libre de Berlín en Alemania. Es miembro del Sistema Nacional de Investigadores Nivel III, con un índice H de 33. Ha publicado varios artículos y libros. Actualmente es editor de las revistas Expert System with Applications, Soft Computing, Mathematics and Computers in Simulation, Artificial Intelligence Review, Applied Soft Computing, Applied Mathematical Modelling, International Journal of Machine Learning and Cybernetics, Pattern Analysis and Applications, Evolutionary Intelligence, International Journal of Computational Intelligence Systems. Sur áreas de interés son los algoritmos metaheurísticos, el machine learning y procesamiento de imagen.
Perfil de Investigador SNII:
Perfil PRODEP:
Bases de datos bibliográficas:
Publicaciones del académico:
- Integrating agent-based models and clustering methods for improving image segmentation
- Metaheuristic Techniques for Fine‐Tuning Parameter of Complex Systems
- Techniques of Machine Learning Mixed with Metaheuristic Methods
- Metaheuristic Methods for Clustering
- Metaheuristic Methods for Regression
- Metaheuristic Methods for Classification
- Main Metaheuristic Techniques
- Fundamentals of Machine Learning
- Fundamental Machine Learning Methods
- DC Motors: Modeling, Designing and Building with 3D Printers
- Techniques of Machine Learning for Modifying the Search Strategy
- Metaheuristic Methods for Dimensional Reduction
- A metaheuristic algorithm based on a radial basis function neural networks
- An initialization approach for metaheuristic algorithms by using Gibbs sampling
- A novel optimization approach based on unstructured evolutionary game theory
- Image segmentation with Cellular Automata
- Enhancing Bicycle Trajectory Planning in Urban Environments through Complex Network Optimization
- Metaheuristic optimization with dynamic strategy adaptation: An evolutionary game theory approach
- Exploration Paths Derived from Trajectories Extracted from Second-Order System Responses
- Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable?
- Utilizing the Moth Swarm Algorithm to Improve Image Contrast
- Population Control in Metaheuristic Algorithms: Can Fewer Be Better?
- A Novel Method for Initializing Populations Using the Metropolis–Hastings (MH) Technique
- A Measure of Diversity for Metaheuristic Algorithms Employing Population-Based Approaches
- Considering radial basis function neural network for effective solution generation in metaheuristic algorithms
- Introduction to Metaheuristic Methods
- Enhancing Anisotropic Diffusion Filtering via Multi-objective Optimization
- An advanced initialization technique for metaheuristic optimization: a fusion of Latin hypercube sampling and evolutionary behaviors
- Fractional Fuzzy Controller Using Metaheuristic Techniques
- DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images
- Enhancing Metaheuristic Algorithm Performance Through Structured Population and Evolutionary Game Theory
- Algoritmos de optimización en ingeniería: Aplicaciones en administración e ingeniería
- Pixel Interaction Model for Contrast Enhancement: Bridging Social Science and Image Processing
- Agent-Based Evacuation Modeling: Enhancing Building Safety in Emergency Scenarios
- Detection of COVID-19: A Metaheuristic-Optimized Maximally Stable Extremal Regions Approach
- A graph segmentation method based on compatibility subgraph aggregation.
- Integration of Metaheuristic Operators Through Unstructured Evolutive Game Theory Approach: A novel hybrid Methodology
- Deepfake Detection using Deep Feature Stacking and Meta-learning
- Mathematical Optimization Strategy for Effectiveness Profile Estimation in Two-Dose Vaccines and Its Use in Designing Improved Vaccination Strategies Focused on Pandemic Containment
- Image Processing and Machine Learning: Volume 1: Foundations of Image Processing
- Mathematical Optimization Strategy for Effectiveness Profile Estimation in Two-Dose Vaccines and Its Use in Designing Improved Vaccination Strategies Focused on Pandemic …
- Balancing Individual and Collective Strategies: A New Approach in Metaheuristic Optimization.
- Pole and Slot Configurations for Efficient Brushless Permanent Magnet Motors
- Prototyping
- Basic Concepts of Motors
- 2D Sketching in CAD Software for 3D Printing
- Fundamentals of Electromagnetism
- Setting up a 3D Model for a 3D Printer
- Differential Evolution Search Strategy Enhancement Through Evolutionary Game Theory
- ENHANCED BONOBO OPTIMIZER FOR OPTIMIZING DYNAMIC PHOTOVOLTAIC MODELS