Luis M. Torres-Treviño

Orcid: 0000-0002-8072-6033

According to our database1, Luis M. Torres-Treviño authored at least 46 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
System identification for T1D via artificial intelligence algorithms: Evolutionary or swarm.
Biomed. Signal Process. Control., August, 2023

Development of a muscle electrical stimulation parameter selection method with an intelligent system.
Eng. Appl. Artif. Intell., May, 2023

NATLOC: Natural Language Object Localization.
Proceedings of the Advances in Soft Computing, 2023

2022
Modeling and Simulation of Swarm of Foraging Robots for Collecting Resources Using RAOI Behavior Policies.
Proceedings of the Advances in Computational Intelligence, 2022

Towards an Interpretable Model for Automatic Classification of Endoscopy Images.
Proceedings of the Advances in Computational Intelligence, 2022

2021
Multi-objective optimization of a quadrotor flock performing target zone search.
Swarm Evol. Comput., 2021

Flock of Robots with Self-Cooperation for Prey-Predator Task.
J. Intell. Robotic Syst., 2021

Decoding the torque of lower limb joints from EEG recordings of pre-gait movements using a machine learning scheme.
Neurocomputing, 2021

A 2020 taxonomy of algorithms inspired on living beings behavior.
CoRR, 2021

Autonomous foraging with a pack of robots based on repulsion, attraction and influence.
Auton. Robots, 2021

An Approach to Acquire Path-Following Skills by Industrial Robots From Human Demonstration.
IEEE Access, 2021

2019
Collective Behaviors in Swarms of Builder Robots.
Res. Comput. Sci., 2019

Collective Tasks for a Flock of Robots Using Influence Factor.
J. Intell. Robotic Syst., 2019

Clusterized KNN for EEG Channel Selection and Prototyping of Lower Limb Joint Torques.
Proceedings of the Advances in Soft Computing, 2019

2018
Universal Swarm Optimizer for Multi-objective Functions.
Proceedings of the Advances in Soft Computing, 2018

2017
Let the swarm be: an implicit elitism in swarm intelligence.
Int. J. Bio Inspired Comput., 2017

Smart Selection of Materials for Product Prototype Fabrication.
Proceedings of the Advances in Soft Computing, 2017

2016
Mathematical Model of Glucose Metabolism by Symbolic Regression \alpha \beta.
Proceedings of the Advances in Soft Computing, 2016

Off-line Tuning of a PID Controller Using Type-2 Fuzzy Logic.
Proceedings of the Advances in Computational Intelligence, 2016

Intelligent Sensor for Fault Detection in Glucose Measuring System.
Proceedings of the Fifteenth Mexican International Conference on Artificial Intelligence, 2016

Collective Motion of a Swarm of Simulated Quadrotors Using Repulsion, Attraction and Orientation Rules.
Proceedings of the Advances in Computational Intelligence, 2016

Hybrid BCI approach to control an artificial tibio-femoral joint.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Evolutionary Robot with the Task to Remain Standing.
Proceedings of the Fourteenth Mexican International Conference on Artificial Intelligence, 2015

Control by Imitation Using a Maximum Sensibility Neural Network.
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

An Embedded Generation of Fuzzy Rules Implemented in a Remote Car Driving.
Proceedings of the Fourteenth Mexican International Conference on Artificial Intelligence, 2015

An Embedded Fuzzy Self-tuning PID Controller for a Temperature Control System of Peltier Cells.
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

Change of Behavior on Swarm Robotics Using Repulsion and Attraction.
Proceedings of the Fourteenth Mexican International Conference on Artificial Intelligence, 2015

2014
A non-linear fuzzy regression for estimating reliability in a degradation process.
Appl. Soft Comput., 2014

Reconfigurable Logical Cells Using a Maximum Sensibility Neural Network.
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014

Modeling Synthesis Processes of Photocatalysts Using Symbolic Regression α-β.
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014

Establishing a Simplified Functional Relationship between EMG Signals and Actuation Signals Using Artificial Neural Networks.
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014

Control by Online Learning Using a Maximum Sensibility Neural Network.
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014

Identification and prediction using symbolic regression alpha-beta: preliminary results.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A mathematical model of a cold rolling mill by symbolic regression alpha-beta.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Use of PSO for Obtaining Solution of the Inverse Robot Dynamic Model.
Res. Comput. Sci., 2013

An expert system for setting parameters in machining processes.
Expert Syst. Appl., 2013

Statistical inference in a redesigned Radial Basis Function neural network.
Eng. Appl. Artif. Intell., 2013

Control by Learning in a Temperature System Using a Maximum Sensibility Neural Network.
Proceedings of the 12th Mexican International Conference on Artificial Intelligence, 2013

An Embedded Fuzzy Agent for Online Tuning of a PID Controller for Position Control of a DC Motor.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

2012
Analysis and evaluation in a welding process applying a Redesigned Radial Basis Function.
Expert Syst. Appl., 2012

On-Line Learning in an Embedded Maximum Sensibility Neural Network.
Proceedings of the 11th Mexican International Conference on Artificial Intelligence, 2012

Implementation of a Single Chaotic Neuron Using an Embedded System.
Proceedings of the Advances in Computational Intelligence, 2012

Artificial Neural Network for Optimization of a Synthesis Process of γ-Bi2MoO6 Using Surface Response Methodology.
Proceedings of the Advances in Computational Intelligence, 2012

2011
Multi-objective optimization of a welding process by the estimation of the Pareto optimal set.
Expert Syst. Appl., 2011

Symbolic regression using α- β operators and estimation of distribution algorithms: preliminary results.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
A Radial Basis Function Redesigned for Predicting a Welding Process.
Proceedings of the Advances in Soft Computing, 2010


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