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 docto... Ver más
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. Ver menos
Perfil de Investigador SNII:
Perfil PRODEP:
Bases de datos bibliográficas:
Publicaciones del académico:
- A novel optimization approach based on unstructured evolutionary game theory
- A novel hybrid search strategy for evolutionary fuzzy optimization 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
- Autonomous bonobo optimization algorithm for power allocation in wireless networks
- Image Processing and Machine Learning, Volume 1: Foundations of Image Processing
- Image Processing and Machine Learning, Volume 2: Advanced Topics in Image Analysis and Machine Learning
- Mathematical Optimization Strategy for Effectiveness Profile Estimation in Two-Dose Vaccines and Its Use in Designing Improved Vaccination Strategies Focused on Pandemic …
- A new histogram equalization technique for contrast enhancement of grayscale images using the differential evolution algorithm
- A novel hybrid search strategy for evolutionary fuzzy optimization approach
- Dynamic Multimodal Function Optimization: An Evolutionary-Mean Shift Approach
- Trajectory-Driven Metaheuristic Approach Using a Second-Order Model
- Multi-objective Optimization of Anisotropic Diffusion Parameters for Enhanced Image Denoising
- Exploring the Potential of Agent Systems for Metaheuristics
- Collaborative Hybrid Grey Wolf Optimizer: Uniting Synchrony and Asynchrony
- Introduction to Metaheuristic Schemes: Characteristics, Properties, and Importance in Solving Optimization Problems
- Efficient Image Contrast Enhancement by Using the Moth Swarm Algorithm
- New Metaheuristic Schemes: Mechanisms and Applications
- Studies in Computational Intelligence
- Optimal evaluation of re-opening policies for COVID-19 through the use of metaheuristic schemes
- Roots of Nonlinear Equations
- Image Processing and Machine Learning, Volume 1: Foundations of Image Processing
- Autonomous bonobo optimization algorithm for power allocation in wireless networks
- Image Processing and Machine Learning, Volume 2: Advanced Topics in Image Analysis and Machine Learning
- A new population initialization approach based on Metropolis–Hastings (MH) method
- A new population initialization approach based on Metropolis–Hastings (MH) method
- Preface
- Computational Methods with MATLAB®
- A new metaphor-free metaheuristic approach based on complex networks and Bezier curves.
- Image contrast improvement through a metaheuristic scheme
- MATLAB® Fundamentals
- Spline Interpolation
- Numerical Integration Methods
- Numerical Differentiation Methods
- Graphing with MATLAB
- Interpolation and Polynomials
- A new population initialization approach based on Metropolis–Hastings (MH) method
- An agent-based model for public security strategies by predicting crime patterns
- Contrast Enhancement in Images by Homomorphic Filtering and Cluster-Chaotic Optimization
- La relación de causalidad en la responsabilidad civil: de la equivalencia de las condiciones a la imputación objetiva
- A Mathematical Model for an Inventory Management and Order Quantity Allocation Problem with Nonlinear Quantity Discounts and Nonlinear Price-Dependent Demand
- Image segmentation by agent-based pixel homogenization
- A Modified Simulated Annealing (MSA) Algorithm to Solve the Supplier Selection and Order Quantity Allocation Problem with Non-Linear Freight Rates
- Multi-Circle Detection guided by Multimodal Optimization Scheme
- A new method to solve rotated template matching using metaheuristic algorithms and the structural similarity index
- An accurate flexible process planning using an adaptive genetic algorithm
- Agent-Based Image Contrast Enhancement Algorithm