Hugo Terashima-Marín
Orcid: 0000-0002-5320-0773
According to our database1,
Hugo Terashima-Marín
authored at least 129 papers
between 1995 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Squacc BiLSTM: a framework for dense video captioning using neural knowledge graph and deep learning.
Signal Image Video Process., December, 2025
Digital Twin technology for multimodal-based smart mobility using hybrid Co-ABC optimization based deep CNN.
Clust. Comput., June, 2025
Selection hyper-heuristics and job shop scheduling problems: How does instance size influence performance?
J. Sched., February, 2025
Computación y Sistemas (CyS), 2025
Automatic Design of Specialized Variation Operators for the Multi-Objective Quadratic Assignment Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2025
Reference Point Specification in Greedy Inclusion Hypervolume-based Subset Selection: A Study on Two Objectives.
Proceedings of the Genetic and Evolutionary Computation Conference, 2025
2024
Gender prediction based on University students' complex thinking competency: An analysis from machine learning approaches.
Educ. Inf. Technol., February, 2024
Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems.
Swarm Evol. Comput., 2024
Navigating the Pitfalls: Analyzing the Behavior of LLMs as a Coding Assistant for Computer Science Students - A Systematic Review of the Literature.
IEEE Access, 2024
IEEE Access, 2024
Improving Armed People Detection on Video Surveillance Through Heuristics and Machine Learning Models.
IEEE Access, 2024
Proceedings of the Pattern Recognition - 16th Mexican Conference, 2024
Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Recombination Operators for the Multi-Objective Team Formation Problem in Social Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Exploring Generative AIs as Population Variation Operator in Multi-objective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
J. Intell. Fuzzy Syst., 2023
2022
Correction: Violence detection approach based on cloud data and Neutrosophic cognitive maps.
J. Cloud Comput., 2022
J. Cloud Comput., 2022
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem.
CoRR, 2022
IEEE Access, 2022
A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Swarm Evol. Comput., 2021
Expert Syst. Appl., 2021
Improving Deep Interactive Evolution with a Style-Based Generator for Artistic Expression and Creative Exploration.
Entropy, 2021
Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks.
Comput., 2021
Comput. Intell. Neurosci., 2021
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021
2020
SoftwareX, 2020
Detecting Suspicious Behavior: How to Deal with Visual Similarity through Neural Networks.
CoRR, 2020
Suspicious Behavior Detection on Shoplifting Cases for Crime Prevention by Using 3D Convolutional Neural Networks.
CoRR, 2020
IEEE Access, 2020
Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A Preliminary Study on Feature-independent Hyper-heuristics for the 0/1 Knapsack Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Soft Comput., 2019
Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning.
Expert Syst. Appl., 2019
Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Knowl. Based Syst., 2018
Genet. Program. Evolvable Mach., 2018
Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems.
Comput. Intell. Neurosci., 2018
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines.
IEEE Comput. Intell. Mag., 2018
IEEE Comput. Intell. Mag., 2018
Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
An Experimental Study on Ant Colony Optimization Hyper-Heuristics for Solving the Knapsack Problem.
Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018
Cooperative multi-objective evolutionary support vector machines for multiclass problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
Proceedings of the Advances in Soft Computing, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Grammar-based generation of variable-selection heuristics for constraint satisfaction problems.
Genet. Program. Evolvable Mach., 2016
Cogn. Comput., 2016
Experimental Matching of Instances to Heuristics for Constraint Satisfaction Problems.
Comput. Intell. Neurosci., 2016
Combine and conquer: an evolutionary hyper-heuristic approach for solving constraint satisfaction problems.
Artif. Intell. Rev., 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Selection and Generation Hyper-heuristics for Solving the Vehicle Routing Problem with Time Windows.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
2015
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015
A Recursive Split, Solve, and Join Strategy for Solving Constraint Satisfaction Problems.
Proceedings of the Fourteenth Mexican International Conference on Artificial Intelligence, 2015
2014
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014
Expert Syst. Appl., 2014
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014
2013
Methodology of Design: A Novel Generic Approach Applied to the Course Timetabling Problem.
Proceedings of the Soft Computing Applications in Optimization, Control, and Recognition, 2013
Learning vector quantization for variable ordering in constraint satisfaction problems.
Pattern Recognit. Lett., 2013
Ann. Oper. Res., 2013
A genetic programming hyper-heuristic: Turning features into heuristics for constraint satisfaction.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013
Branching Schemes and Variable Ordering Heuristics for Constraint Satisfaction Problems: Is There Something to Learn?
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), 2013
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), 2013
Homogeneous Population Solving the Minimal Perturbation Problem in Dynamic Scheduling of Surgeries.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2013
A Supervised Learning Approach to Construct Hyper-heuristics for Constraint Satisfaction.
Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Exploring heuristic interactions in constraint satisfaction problems: A closer look at the hyper-heuristic space.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Using learning classifier systems to design selective hyper-heuristics for constraint satisfaction problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Evolving feature selection for characterizing and solving the 1D and 2D bin packing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Computación y Sistemas, 2012
Proceedings of the Advances in Artificial Intelligence, 2012
Cooperative Coevolution of Automatically Defined Functions with Gene Expression Programming.
Proceedings of the 11th Mexican International Conference on Artificial Intelligence, 2012
Exploring the Solution of Course Timetabling Problems through Heuristic Segmentation.
Proceedings of the Advances in Artificial Intelligence, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011
Variable and Value Ordering Decision Matrix Hyper-heuristics: A Local Improvement Approach.
Proceedings of the Advances in Artificial Intelligence, 2011
Neural Networks to Guide the Selection of Heuristics within Constraint Satisfaction Problems.
Proceedings of the Pattern Recognition - Third Mexican Conference, 2011
Evolution of neural networks topologies and learning parameters to produce hyper-heuristics for constraint satisfaction problems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
On the idea of evolving decision matrix hyper-heuristics for solving constraint satisfaction problems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Evolving solutions of mixed-model assembly line balancing problems by chaining heuristic optimization methods: track: evolutionary combinatorial optimization and meta-heuristics.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Feature Selection for the Classification of Microcalcifications in Digital Mammograms using Genetic Algorithms, Sequential Search and Class Separability.
Proceedings of the Genetic and Evolutionary Computation: Medical Applications, 2011
2010
Ann. Oper. Res., 2010
Approximating Multi-Objective Hyper-Heuristics for Solving 2D Irregular Cutting Stock Problems.
Proceedings of the Advances in Soft Computing, 2010
Defining a Problem-State Representation with Data Mining within a Hyper-heuristic Model Which Solves 2D Irregular Bin Packing Problems.
Proceedings of the Advances in Artificial Intelligence, 2010
Problem-state representations in a hyper-heuristic approach for the 2D irregular BPP.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Pipelining Memetic Algorithms, Constraint Satisfaction, and Local Search for Course Timetabling.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009
uQFCS: QFCS with unfixed fuzzy sets in continuous multi-step environments with continuous vector actions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
2008
On the possibility to design intelligent sensor systems after excitable media models: An agent-based simulation.
Proceedings of the IEEE International Conference on Systems, 2008
QFCS: A Fuzzy LCS in Continuous Multi-step Environments with Continuous Vector Actions.
Proceedings of the Parallel Problem Solving from Nature, 2008
Using Hyper-heuristics for the Dynamic Variable Ordering in Binary Constraint Satisfaction Problems.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008
Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
A new approach to fuzzy LCSs in two-dimensional continuous multistep environment with continuous vector actions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
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.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007
On the relativity in the assessment of blind optimization algorithms and the problem-algorithm coevolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
2006
Classification of Individual and Clustered Microcalcifications in Digital Mammograms Using Evolutionary Neural Networks.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006
Two-Phase GA-Based Model to Learn Generalized Hyper-heuristics for the 2D-Cutting Stock Problem.
Proceedings of the Advances in Artificial Intelligence, 2006
Proceedings of the Advances in Artificial Intelligence, 2006
A GA-based method to produce generalized hyper-heuristics for the 2D-regular cutting stock problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Evolutionary Neural Networks Applied To The Classification Of Microcalcification Clusters In Digital Mammograms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
A Deterministic Alternative to <i>Competent</i> Genetic Algorithms That Solves to Optimality Linearly Decomposable Non-overlapping Problems in Polynomial Time.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005
Scheduling Transportation Events with Grouping Genetic Algorithms and the Heuristic DJD.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005
Building Hyper-heuristics Through Ant Colony Optimization for the 2D Bin Packing Problem.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005
Detection of Microcalcification Clusters in Mammograms Using a Difference of Optimized Gaussian Filters.
Proceedings of the Image Analysis and Recognition, Second International Conference, 2005
Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Proceedings of the Advances in Artificial Intelligence, 2004
2003
Proceedings of the 4th Mexican International Conference on Computer Science (ENC 2003), 2003
2002
Optimizing Weight and Torque of Squirrel-Cage Induction Motors Using Genetic Algorithms.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002
1999
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
Application of the hardness theory when solving the timetabling problem with genetic algorithms.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
1995
Proceedings of the Practice and Theory of Automated Timetabling, First International Conference, Edinburgh, UK, August 29, 1995