The Phase-Transition Niche for Evolutionary Algorithms in Timetabling. - Peter Ross; David Corne; Hugo Terashima-Marín (PATAT, 1995)

Application of the hardness theory when solving the timetabling problem with genetic algorithms. - Hugo Terashima-Marín; Peter Ross; Manuel Valenzuela-Rendón (CEC, 1999)

Clique-based crossover for solving the timetabling problem with GAs. - Hugo Terashima-Marín; Peter Ross; Manuel Valenzuela-Rendón (CEC, 1999)

Optimizing Weight and Torque of Squirrel-Cage Induction Motors Using Genetic Algorithms. - Sergio Daniel Montaño-Marañón; Hugo Terashima-Marín (GECCO Late Breaking Papers, 2002)

Application of Discrete Bilevel Programming to Some Applied Problems. - Stephan Dempe; Vyacheslav Kalashnikov; Hugo Terashima (ENC, 2003)

Adaptive Penalty Weights When Solving Congress Timetabling. - Daniel Ángel Huerta-Amante; Hugo Terashima-Marín (IBERAMIA, 2004)

Stability Analysis for Dynamic Constraint Satisfaction Problems. - Manuel Iván Angles-Domínguez; Hugo Terashima-Marín (MICAI, 2004)

Forming hyper-heuristics with GAs when solving 2D-regular cutting stock problems. - Hugo Terashima-Marín; Armando Moran-Saavedra; Peter Ross (Congress on Evolutionary Computation, 2005)

Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems. - Hugo Terashima-Marín; E. J. Flores-Álvarez; Peter Ross (GECCO, 2005)

Detection of Microcalcification Clusters in Mammograms Using a Difference of Optimized Gaussian Filters. - Samuel Oporto-Díaz; Rolando R. Hernández-Cisneros; Hugo Terashima-Marín (ICIAR, 2005)

Building Hyper-heuristics Through Ant Colony Optimization for the 2D Bin Packing Problem. - Alberto Cuesta-Cañada; Leonardo Garrido; Hugo Terashima-Marín (KES (4), 2005)

Scheduling Transportation Events with Grouping Genetic Algorithms and the Heuristic DJD. - Hugo Terashima-Marín; Juan Manuel Tavernier-Deloya; Manuel Valenzuela-Rendón (MICAI, 2005)

A Deterministic Alternative to Competent Genetic Algorithms That Solves to Optimality Linearly Decomposable Non-overlapping Problems in Polynomial Time. - Manuel Valenzuela-Rendón; Horacio Martinez-Alfaro; Hugo Terashima-Marín (MICAI, 2005)

Evolutionary Neural Networks Applied To The Classification Of Microcalcification Clusters In Digital Mammograms. - Rolando R. Hernández-Cisneros; Hugo Terashima-Marín (IEEE Congress on Evolutionary Computation, 2006)

A GA-based method to produce generalized hyper-heuristics for the 2D-regular cutting stock problem. - Hugo Terashima-Marín; Cláudia J. Farías Zárate; Peter Ross; Manuel Valenzuela-Rendón (GECCO, 2006)

Assessing the Value of Future and Present Options in Real-Time Planning. - Emmanuel Martínez 001; Ramón F. Brena; Hugo Terashima-Marín (IBERAMIA-SBIA, 2006)

Two-Phase GA-Based Model to Learn Generalized Hyper-heuristics for the 2D-Cutting Stock Problem. - Hugo Terashima-Marín; Cláudia J. Farías Zárate; Peter Ross; Manuel Valenzuela-Rendón (IBERAMIA-SBIA, 2006)

Classification of Individual and Clustered Microcalcifications in Digital Mammograms Using Evolutionary Neural Networks. - Rolando R. Hernández-Cisneros; Hugo Terashima-Marín (MICAI, 2006)

Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem. - Hugo Terashima-Marín; Cláudia J. Farías Zárate; Peter Ross; Manuel Valenzuela-Rendón (GECCO, 2007)

On the relativity in the assessment of blind optimization algorithms and the problem-algorithm coevolution. - Carlos D. Toledo-Suárez; Manuel Valenzuela-Rendón; Hugo Terashima-Marín; Eduardo Uresti-Charre (GECCO, 2007)

Comparison of Class Separability, Forward Sequential Search and Genetic Algorithms for Feature Selection in the Classification of Individual and Clustered Microcalcifications in Digital Mammograms. - Rolando R. Hernández-Cisneros; Hugo Terashima-Marín; Santiago E. Conant-Pablos (ICIAR, 2007)

A new approach to fuzzy LCSs in two-dimensional continuous multistep environment with continuous vector actions. - José Abdón Ramírez-Ruiz; Manuel Valenzuela-Rendón; Hugo Terashima-Marín (GECCO, 2008)

Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems. - Hugo Terashima-Marín; José Carlos Ortiz-Bayliss; Peter Ross; Manuel Valenzuela-Rendón (GECCO, 2008)

Using Hyper-heuristics for the Dynamic Variable Ordering in Binary Constraint Satisfaction Problems. - Hugo Terashima-Marín; José Carlos Ortiz-Bayliss; Peter Ross; Manuel Valenzuela-Rendón (MICAI, 2008)

QFCS: A Fuzzy LCS in Continuous Multi-step Environments with Continuous Vector Actions. - José Abdón Ramírez-Ruiz; Manuel Valenzuela-Rendón; Hugo Terashima-Marín (PPSN, 2008)

On the possibility to design intelligent sensor systems after excitable media models: An agent-based simulation. - Luis M. Fernandez-Carrasco; Hugo Terashima-Marín; Manuel Valenzuela-Rendón (SMC, 2008)

A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Peter Ross; Jorge Iván Fuentes-Rosado; Manuel Valenzuela-Rendón (GECCO, 2009)

uQFCS: QFCS with unfixed fuzzy sets in continuous multi-step environments with continuous vector actions. - José Abdón Ramírez-Ruiz; Manuel Valenzuela-Rendón; Hugo Terashima-Marín (GECCO, 2009)

Pipelining Memetic Algorithms, Constraint Satisfaction, and Local Search for Course Timetabling. - Santiago E. Conant-Pablos; Dulce J. Magaña-Lozano; Hugo Terashima-Marín (MICAI, 2009)

Mapping the performance of heuristics for Constraint Satisfaction. - José Carlos Ortiz-Bayliss; Ender Özcan; Andrew J. Parkes; Hugo Terashima-Marín (IEEE Congress on Evolutionary Computation, 2010)

Problem-state representations in a hyper-heuristic approach for the 2D irregular BPP. - Eunice López-Camacho; Hugo Terashima-Marín; Peter Ross; Manuel Valenzuela-Rendón (GECCO, 2010)

Defining a Problem-State Representation with Data Mining within a Hyper-heuristic Model Which Solves 2D Irregular Bin Packing Problems. - Eunice López-Camacho; Hugo Terashima-Marín; Peter Ross (IBERAMIA, 2010)

Approximating Multi-Objective Hyper-Heuristics for Solving 2D Irregular Cutting Stock Problems. - Juan-Carlos Gomez 001; Hugo Terashima-Marín (MICAI (2), 2010)

Generalized hyper-heuristics for solving 2D Regular and Irregular Packing Problems. - Hugo Terashima-Marín; Peter Ross; Cláudia J. Farías Zárate; Eunice López-Camacho; Manuel Valenzuela-Rendón (Ann. Oper. Res., 2010)

Feature Selection for the Classification of Microcalcifications in Digital Mammograms using Genetic Algorithms, Sequential Search and Class Separability. - Santiago E. Conant-Pablos; Rolando R. Hernández-Cisneros; Hugo Terashima-Marín (Genetic and Evolutionary Computation: Medical Applications, 2011)

Evolving solutions of mixed-model assembly line balancing problems by chaining heuristic optimization methods: track: evolutionary combinatorial optimization and meta-heuristics. - Santiago Enrique Conant-Pablos; Halley Jarumy Ferrer-Soriano; Hugo Terashima-Marín (GECCO (Companion), 2011)

A hyper-heuristic for solving one and two-dimensional bin packing problems. - Eunice López-Camacho; Hugo Terashima-Marín; Peter Ross (GECCO (Companion), 2011)

On the idea of evolving decision matrix hyper-heuristics for solving constraint satisfaction problems. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Ender Özcan; Andrew J. Parkes (GECCO (Companion), 2011)

Evolution of neural networks topologies and learning parameters to produce hyper-heuristics for constraint satisfaction problems. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Peter Ross; Santiago Enrique Conant-Pablos (GECCO (Companion), 2011)

Neural Networks to Guide the Selection of Heuristics within Constraint Satisfaction Problems. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Santiago E. Conant-Pablos (MCPR, 2011)

Variable and Value Ordering Decision Matrix Hyper-heuristics: A Local Improvement Approach. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Ender Özcan; Andrew J. Parkes; Santiago Enrique Conant-Pablos (MICAI (1), 2011)

Academic Timetabling Design Using Hyper-Heuristics. - Jorge Alberto Soria-Alcaraz; Juan Martín Carpio Valadez; Hugo Terashima-Marín (Soft Computing for Intelligent Control and Mobile Robotics, 2011)

The impact of the bin packing problem structure in hyper-heuristic performance. - Eunice López-Camacho; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos (GECCO (Companion), 2012)

Challenging heuristics: evolving binary constraint satisfaction problems. - Jorge Humberto Moreno-Scott; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos (GECCO, 2012)

Improving the performance of vector hyper-heuristics through local search. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos; Ender Özcan; Andrew J. Parkes (GECCO, 2012)

Exploring the Solution of Course Timetabling Problems through Heuristic Segmentation. - Dulce J. Magaña-Lozano; Santiago E. Conant-Pablos; Hugo Terashima-Marín (MICAI (1), 2012)

Cooperative Coevolution of Automatically Defined Functions with Gene Expression Programming. - Alejandro Sosa-Ascencio; Manuel Valenzuela-Rendón; Hugo Terashima-Marín (MICAI (Special Sessions), 2012)

Local Features Classification for Adaptive Tracking. - Alan I. Torres-Nogales; Santiago E. Conant-Pablos; Hugo Terashima-Marín (MICAI (1), 2012)

Construyendo híper-heurísticas generales para problemas de corte multi-objetivo. - Juan-Carlos Gomez 001; Hugo Terashima-Marín (Computación y Sistemas, 2012)

Evolving feature selection for characterizing and solving the 1D and 2D bin packing problem. - Eunice López-Camacho; Hugo Terashima-Marín (IEEE Congress on Evolutionary Computation, 2013)

Using learning classifier systems to design selective hyper-heuristics for constraint satisfaction problems. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Santiago E. Conant-Pablos (IEEE Congress on Evolutionary Computation, 2013)

Exploring heuristic interactions in constraint satisfaction problems: A closer look at the hyper-heuristic space. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Ender Ozcan; Andrew J. Parkes; Santiago E. Conant-Pablos (IEEE Congress on Evolutionary Computation, 2013)

Grammar-based Genetic Programming for evolving variable ordering heuristics. - Alejandro Sosa-Ascencio; Hugo Terashima-Marín; Manuel Valenzuela-Rendón (IEEE Congress on Evolutionary Computation, 2013)

A Supervised Learning Approach to Construct Hyper-heuristics for Constraint Satisfaction. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos (MCPR, 2013)

Homogeneous Population Solving the Minimal Perturbation Problem in Dynamic Scheduling of Surgeries. - Adriana Perez-Lopez; Rosario Baltazar; Juan Martín Carpio; Hugo Terashima-Marín; Dulce J. Magaña-Lozano; Héctor J. Puga (MICAI (1), 2013)

Automatic Generation of Heuristics for Constraint Satisfaction Problems. - José Carlos Ortiz-Bayliss; Jorge Humberto Moreno-Scott; Hugo Terashima-Marín (NICSO, 2013)

Branching Schemes and Variable Ordering Heuristics for Constraint Satisfaction Problems: Is There Something to Learn? - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos (NICSO, 2013)

A genetic programming hyper-heuristic: Turning features into heuristics for constraint satisfaction. - José Carlos Ortiz-Bayliss; Ender Ozcan; Andrew J. Parkes; Hugo Terashima-Marín (UKCI, 2013)

An effective heuristic for the two-dimensional irregular bin packing problem. - Eunice López-Camacho; Gabriela Ochoa; Hugo Terashima-Marín; Edmund K. Burke (Ann. Oper. Res., 2013)

Learning vector quantization for variable ordering in constraint satisfaction problems. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos (Pattern Recognit. Lett., 2013)

Methodology of Design: A Novel Generic Approach Applied to the Course Timetabling Problem. - Jorge Alberto Soria-Alcaraz; Juan Martín Carpio; Héctor Puga; Hugo Terashima-Marín; Laura Cruz-Reyes; Marco Aurelio Sotelo-Figueroa (Soft Computing Applications in Optimization, Control, and Recognition, 2013)

Assembling Similar Tracking Approaches in Order to Strengthen Performance. - Edgar Reyna-Ayala; Santiago E. Conant-Pablos; Hugo Terashima-Marín (MCPR, 2014)

A unified hyper-heuristic framework for solving bin packing problems. - Eunice López-Camacho; Hugo Terashima-Marín; Peter Ross; Gabriela Ochoa (Expert Syst. Appl., 2014)

Generic Memetic Algorithm for Course Timetabling ITC2007. - Jorge Alberto Soria-Alcaraz; Juan Martín Carpio; Héctor Puga; Patricia Melin; Hugo Terashima-Marín; Laura Cruz-Reyes; Marco Aurelio Sotelo-Figueroa (Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014)

A Recursive Split, Solve, and Join Strategy for Solving Constraint Satisfaction Problems. - José Carlos Ortiz-Bayliss; Dulce Jaqueline Magaña-Lozano; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos (MICAI (Special Sessions), 2015)

Lifelong Learning Selection Hyper-heuristics for Constraint Satisfaction Problems. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos (MICAI (1), 2015)

Parallel Meta-heuristic Approaches to the Course Timetabling Problem. - Jorge Alberto Soria-Alcaraz; Juan Martín Carpio Valadez; Héctor Puga; Jerry Swan; Patricia Melin; Hugo Terashima; Marco Aurelio Sotelo-Figueroa (Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, 2015)

Selection and Generation Hyper-heuristics for Solving the Vehicle Routing Problem with Time Windows. - David Espinoza-Nevárez; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Gustavo Gatica (GECCO (Companion), 2016)

Grammar-based Selection Hyper-heuristics for Solving Irregular Bin Packing Problems. - Alejandro Sosa-Ascencio; Hugo Terashima-Marín; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos (GECCO (Companion), 2016)

Combine and conquer: an evolutionary hyper-heuristic approach for solving constraint satisfaction problems. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos (Artif. Intell. Rev., 2016)

Experimental Matching of Instances to Heuristics for Constraint Satisfaction Problems. - Jorge Humberto Moreno-Scott; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos (Comput. Intell. Neurosci., 2016)

A Neuro-evolutionary Hyper-heuristic Approach for Constraint Satisfaction Problems. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos (Cogn. Comput., 2016)

Grammar-based generation of variable-selection heuristics for constraint satisfaction problems. - Alejandro Sosa-Ascencio; Gabriela Ochoa; Hugo Terashima-Marín; Santiago Enrique Conant-Pablos (Genet. Program. Evolvable Mach., 2016)

Improving hyper-heuristic performance through feature transformation. - Iván Amaya; José Carlos Ortiz-Bayliss; Andrés Eduardo Gutiérrez-Rodríguez; Hugo Terashima-Marín; Carlos A. Coello Coello (CEC, 2017)

Applying automatic heuristic-filtering to improve hyper-heuristic performance. - Andrés Eduardo Gutiérrez-Rodríguez; José Carlos Ortiz-Bayliss; Alejandro Rosales-Pérez; Ivan M. Amaya-Contreras; Santiago E. Conant-Pablos; Hugo Terashima-Marín; Carlos A. Coello Coello (CEC, 2017)

Evolutionary multilabel hyper-heuristic design. - Alejandro Rosales-Pérez; Andrés Eduardo Gutiérrez-Rodríguez; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Carlos A. Coello Coello (CEC, 2017)

A Quartile-Based Hyper-heuristic for Solving the 0/1 Knapsack Problem. - Fernando Gómez-Herrera; Rodolfo A. Ramirez-Valenzuela; José Carlos Ortiz-Bayliss; Iván Amaya; Hugo Terashima-Marín (MICAI (1), 2017)

Cooperative multi-objective evolutionary support vector machines for multiclass problems. - Alejandro Rosales-Pérez; Andrés Eduardo Gutiérrez-Rodríguez; Salvador García 001; Hugo Terashima-Marín; Carlos A. Coello Coello; Francisco Herrera (GECCO, 2018)

An Experimental Study on Ant Colony Optimization Hyper-Heuristics for Solving the Knapsack Problem. - Bronson Duhart; Fernando Camarena; José Carlos Ortiz-Bayliss; Iván Amaya; Hugo Terashima-Marín (MCPR, 2018)

Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers. - Iván Amaya; José Carlos Ortiz-Bayliss; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín; Carlos A. Coello Coello (PPSN (2), 2018)

Enhancing Selection Hyper-Heuristics via Feature Transformations. - Iván Amaya; José Carlos Ortiz-Bayliss; Alejandro Rosales-Pérez; Andrés Eduardo Gutiérrez-Rodríguez; Santiago E. Conant-Pablos; Hugo Terashima-Marín; Carlos A. Coello Coello (IEEE Comput. Intell. Mag., 2018)

MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines. - Alejandro Rosales-Pérez; Salvador García 001; Hugo Terashima-Marín; Carlos A. Coello Coello; Francisco Herrera (IEEE Comput. Intell. Mag., 2018)

Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems. - José Carlos Ortiz-Bayliss; Iván Amaya; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín (Comput. Intell. Neurosci., 2018)

Evolutionary hyper-heuristics for tackling bi-objective 2D bin packing problems. - Juan-Carlos Gomez 001; Hugo Terashima-Marín (Genet. Program. Evolvable Mach., 2018)

Cluster validation using an ensemble of supervised classifiers. - Jorge Rodríguez-Ruiz; Miguel Angel Medina-Pérez; Andrés Eduardo Gutiérrez-Rodríguez; Raúl Monroy; Hugo Terashima-Marín (Knowl. Based Syst., 2018)

Hyper-heuristics Reversed: Learning to Combine Solvers by Evolving Instances. - Iván Amaya; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos; Hugo Terashima-Marín (CEC, 2019)

A Simulated Annealing Hyper-heuristic for Job Shop Scheduling Problems. - Fernando Garza-Santisteban; Roberto Sánchez-Pámanes; Luis Antonio Puente Rodríguez; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos; Hugo Terashima-Marín (CEC, 2019)

Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems. - Fernando Garza-Santisteban; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín (SSCI, 2019)

Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning. - Andrés Eduardo Gutiérrez-Rodríguez; Santiago E. Conant-Pablos; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín (Expert Syst. Appl., 2019)

Evolutionary-based tailoring of synthetic instances for the Knapsack problem. - Luis Fernando Plata-González; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín; Carlos A. Coello Coello (Soft Comput., 2019)

A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín (CEC, 2020)

Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem. - Fernando Garza-Santisteban; Iván Amaya; Jorge Cruz 002; José Carlos Ortiz-Bayliss; Ender Özcan; Hugo Terashima-Marín (CEC, 2020)

A Fuzzy Hyper-Heuristic Approach for the 0-1 Knapsack Problem. - Frumen Olivas; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos; Hugo Terashima-Marín (CEC, 2020)

A Preliminary Study on Feature-independent Hyper-heuristics for the 0/1 Knapsack Problem. - Xavier Sánchez 001; José Carlos Ortiz-Bayliss; Iván Amaya; Jorge M. Cruz-Duarte; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín (CEC, 2020)

Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem. - Erick Lara-Cárdenas; Arturo Silva-Gálvez; José Carlos Ortiz-Bayliss; Iván Amaya; Jorge M. Cruz-Duarte; Hugo Terashima-Marín (SSCI, 2020)

Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics. - Arturo Silva-Gálvez; Jorge Orozco-Sanchez; Erick Lara-Cárdenas; José Carlos Ortiz-Bayliss; Iván Amaya; Jorge M. Cruz-Duarte; Hugo Terashima-Marín (SSCI, 2020)

A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems. - Melissa Sánchez; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Hector G. Ceballos; Hugo Terashima-Marín; Iván Amaya (IEEE Access, 2020)

Suspicious Behavior Detection on Shoplifting Cases for Crime Prevention by Using 3D Convolutional Neural Networks. - Guillermo A. Martínez-Mascorro; José R. Abreu-Pederzini; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín (CoRR, 2020)

Detecting Suspicious Behavior: How to Deal with Visual Similarity through Neural Networks. - Guillermo A. Martínez-Mascorro; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín (CoRR, 2020)

Learning from Few Samples: A Survey. - Nihar Bendre; Hugo Terashima-Marín; Peyman Najafirad (CoRR, 2020)

CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Yong Shi 001 (SoftwareX, 2020)

A Straightforward Framework for Video Retrieval Using CLIP. - Jesús Andrés Portillo-Quintero; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín (MCPR, 2021)

Enhancing Hyperheuristics for the Knapsack Problem through Fuzzy Logic. - Frumen Olivas; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos; Hugo Terashima-Marín (Comput. Intell. Neurosci., 2021)

Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks. - Guillermo A. Martínez-Mascorro; José R. Abreu-Pederzini; José Carlos Ortiz-Bayliss; Angel Garcia-Collantes; Hugo Terashima-Marín (Comput., 2021)

Improving Deep Interactive Evolution with a Style-Based Generator for Artistic Expression and Creative Exploration. - Carlos Tejeda-Ocampo; Armando López-Cuevas; Hugo Terashima-Marín (Entropy, 2021)

Algorithm selection for solving educational timetabling problems. - Felipe de la Rosa-Rivera; José I. Nuñez-Varela; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín (Expert Syst. Appl., 2021)

Hyper-Heuristics to customise metaheuristics for continuous optimisation. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos; Hugo Terashima-Marín; Yong Shi 001 (Swarm Evol. Comput., 2021)

A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems. - Jose M. Tapia-Avitia; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Nelishia Pillay (CEC, 2022)

Detection of Violent Behavior Using Neural Networks and Pose Estimation. - Kevin B. Kwan-Loo; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos; Hugo Terashima-Marín; Peyman Najafirad (IEEE Access, 2022)

COVID-WideNet - A capsule network for COVID-19 detection. - P. K. Gupta 001; Mohammad Khubeb Siddiqui; Xiaodi Huang; Rubén Morales-Menéndez; Harsh Panwar; Hugo Terashima-Marín; Mohammad Saif Wajid (Appl. Soft Comput., 2022)

Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem. - Roberto García-Torres; Alitzel Adriana Macias-Infante; Santiago Enrique Conant-Pablos; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín (CoRR, 2022)

Violence Detection Approach based on Cloud Data and Neutrosophic Cognitive Maps. - Mohammad Saif Wajid; Hugo Terashima-Marín; Peyman Najafirad; Mohd Anas Wajid (J. Cloud Comput., 2022)

Correction: Violence detection approach based on cloud data and Neutrosophic cognitive maps. - Mohammad Saif Wajid; Hugo Terashima-Marín; Peyman Najafirad; Mohd Anas Wajid (J. Cloud Comput., 2022)

Neutrosophic-CNN-based image and text fusion for multimodal classification. - Mohd Anas Wajid; Aasim Zafar; Hugo Terashima-Marín; Mohammad Saif Wajid (J. Intell. Fuzzy Syst., 2023)

Exploring Generative AIs as Population Variation Operator in Multi-objective Optimization Problems. - Gerardo Ibarra-Vázquez; Hugo Terashima-Marín; Carlos A. Coello Coello (CEC, 2024)

Recombination Operators for the Multi-Objective Team Formation Problem in Social Networks. - Julio Juárez; Carlos A. Brizuela; Hugo Terashima-Marín; Carlos A. Coello Coello (CEC, 2024)

Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications. - Guillermo Pérez-Espinosa; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Nelishia Pillay (CEC, 2024)

Missing Data and Their Effect on Algorithm Selection for the Bin Packing Problem. - José Carlos Ortiz-Bayliss; Anna Karen Gárate-Escamilla; Hugo Terashima-Marín (MCPR, 2024)

Improving Armed People Detection on Video Surveillance Through Heuristics and Machine Learning Models. - Alonso Javier Amado-Garfias; Santiago Enrique Conant-Pablos; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín (IEEE Access, 2024)

Automatic Selection of Machine Learning Models for Armed People Identification. - Alonso Javier Amado-Garfias; Santiago Enrique Conant-Pablos; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín (IEEE Access, 2024)

Navigating the Pitfalls: Analyzing the Behavior of LLMs as a Coding Assistant for Computer Science Students - A Systematic Review of the Literature. - Farman Ali Pirzado; Awais Ahmed; Román A. Mendoza-Urdiales; Hugo Terashima-Marín (IEEE Access, 2024)

Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems. - Jose M. Tapia-Avitia; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Nelishia Pillay (Swarm Evol. Comput., 2024)

Gender prediction based on University students' complex thinking competency: An analysis from machine learning approaches. - Gerardo Ibarra-Vázquez; María Soledad Ramírez-Montoya; Hugo Terashima (Educ. Inf. Technol., 2024)

Reference Point Specification in Greedy Inclusion Hypervolume-based Subset Selection: A Study on Two Objectives. - Adrián Isaí Morales-Paredes; Jesús Guillermo Falcón-Cardona; Julio Juárez; Hugo Terashima-Marín; Carlos A. Coello Coello (GECCO, 2025)

Automatic Design of Specialized Variation Operators for the Multi-Objective Quadratic Assignment Problem. - Adrián Isaí Morales-Paredes; Julio Juárez; Jesús Guillermo Falcón-Cardona; Hugo Terashima-Marín; Carlos A. Coello Coello (GECCO, 2025)

Machine Learning, Missing Values, and Algorithm Selectors: The Untold Story. - Anna Karen Gárate-Escamilla; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín (Computación y Sistemas (CyS), 2025)

Selection hyper-heuristics and job shop scheduling problems: How does instance size influence performance? - Fernando Garza-Santisteban; Jorge Mario Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín (J. Sched., 2025)

Digital Twin technology for multimodal-based smart mobility using hybrid Co-ABC optimization based deep CNN. - Mohd Anas Wajid; Mohammad Saif Wajid; Aasim Zafar; Hugo Terashima-Marín (Clust. Comput., 2025)