Salvador Hinojosa

Tecnológico de Monterrey — Mexico

Computer Science · Physical Sciences

18h-index1.3kcitations66works1.32yr avg
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Research Topics

Metaheuristic Optimization Algorithms Research(28), Medical Image Segmentation Techniques(20), Advanced Multi-Objective Optimization Algorithms(14), Advanced Image and Video Retrieval Techniques(12), Evolutionary Algorithms and Applications(11)

Publications66 total

Beyond SWE-Bench: A Compiler-Assisted Pipeline for Multi-language Automated Program Repair
Lecture notes in computer science·2025
Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognition
Artificial Intelligence in Medicine·2025· 1 cited
OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD
Scientific Data·2025· 5 citedOpen Access
Evolutionary Algorithms in Code Smell Detection: A Feature Selection Approach for Software Engineering
Studies in computational intelligence·2025
Improving Prostate Image Segmentation Based on Equilibrium Optimizer and Cross-Entropy
Applied Sciences·2024· 2 citedOpen Access
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition
arXiv (Cornell University)·2024Open Access
Archimedes Optimization Algorithm and Cross-entropy
2022
Multilevel Thresholding by Using Manta Ray Foraging Optimization
2022
Modern Metaheuristics in Image Processing
2022· 5 cited
MAILAB® Codes
2022
The Political Optimizer for Image Thresholding
2022
A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization
International Journal of Machine Learning and Cybernetics·2022· 9 cited
Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms
2022 IEEE Congress on Evolutionary Computation (CEC)·2022· 5 cited
Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation
Knowledge-Based Systems·2022· 18 cited
An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images
Applied Soft Computing·2022· 52 cited
Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion
Lecture notes in computer science·2022· 3 cited
HCS-BBD
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2021· 6 cited
Differential Evolution-based Neural Network Training Incorporating a\n Centroid-based Strategy and Dynamic Opposition-based Learning
arXiv (Cornell University)·2021Open Access
Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning
2021· 6 citedOpen Access
Opposition-based moth swarm algorithm
Expert Systems with Applications·2021· 46 cited
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Frequent Co-authors

Diego Oliva(41), Mohamed Abd Elaziz(17), Erik Cuevas(16), Omar Ávalos(11), Jorge Gálvez(11), Marco Pérez‐Cisneros(11), Daniel Zaldívar(8), Gonzalo Pájares(7), Seyed Jalaleddin Mousavirad(5), Noé Ortega-Sánchez(3), Mario A. Navarro(3), Valentín Osuna-Enciso(2), Essam H. Houssein(2), Angel Gaspar(2), Itzel Aranguren(2), Oscar Maciel-Castillo(2), Sayan Nag(2), Uddalok Sarkar(2), Erick Rodrí­guez-Esparza(2), Marcella Scoczynski Ribeiro Martins(2)