Luis A. Trejo

According to our database, Luis A. Trejo authored at least 29 papers between 1992 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Measuring the Effectiveness of a Multicomponent Program to Manage Academic Stress through a Resilience to Stress Index.

Carlos Figueroa López, Andrés Ayala, Luis A. Trejo, Bertha Ramos, Clara L. Briz, Isabella Noriega, Alejandro Chávez

Sensors, March, 2023

Extracting Mental Health Indicators From English and Spanish Social Media: A Machine Learning Approach.

Miryam Elizabeth Villa-Pérez, Luis A. Trejo, Maisha Binte Moin, Eleni Stroulia

IEEE Access, 2023

2022

LATAM-DDoS-IoT dataset.

Josue Genaro Almaraz-Rivera, Jesús Arturo Pérez Díaz, Jose Antonio Cantoral-Ceballos, Juan Felipe Botero, Luis A. Trejo

Dataset, October, 2022

Toward the Protection of IoT Networks: Introducing the LATAM-DDoS-IoT Dataset.

Josue Genaro Almaraz-Rivera, Jesús Arturo Pérez Díaz, Jose Antonio Cantoral-Ceballos, Juan Felipe Botero, Luis A. Trejo

IEEE Access, 2022

2021

Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach.

Ramon E. Diaz-Ramos, Daniela A. Gomez-Cravioto, Luis A. Trejo, Carlos Figueroa López, Miguel Angel Medina-Pérez

Sensors, 2021

Artificial Organic Networks Approach Applied to the Index Tracking Problem.

Enrique González N., Luis A. Trejo

Proceedings of the Advances in Computational Intelligence, 2021

Mexican Stock Return Prediction with Differential Evolution for Hyperparameter Tuning.

Ramón Hinojosa Alejandro, Luis A. Trejo, Laura Hervert-Escobar, Neil Hernández-Gress, Enrique González N.

Proceedings of the Advances in Computational Intelligence, 2021

2020

Choosing the Best Sensor Fusion Method: A Machine-Learning Approach.

Ramón F. Brena, Antonio A. Aguileta, Luis A. Trejo, Erik Molino-Minero-Re, Oscar Mayora

Sensors, 2020

m-OCKRA: An Efficient One-Class Classifier for Personal Risk Detection, Based on Weighted Selection of Attributes.

Miryam Elizabeth Villa-Pérez, Luis A. Trejo

IEEE Access, 2020

2019

Multi-Sensor Fusion for Activity Recognition - A Survey.

Antonio A. Aguileta, Ramón F. Brena, Oscar Mayora, Erik Molino-Minero-Re, Luis A. Trejo

Sensors, 2019

Virtual Sensors for Optimal Integration of Human Activity Data.

Antonio A. Aguileta, Ramón F. Brena, Oscar Mayora, Erik Molino-Minero-Re, Luis A. Trejo

Sensors, 2019

DNS-ADVP: A Machine Learning Anomaly Detection and Visual Platform to Protect Top-Level Domain Name Servers Against DDoS Attacks.

Luis A. Trejo, Victor Ferman, Miguel Angel Medina-Pérez, Fernando Miguel Arredondo Giacinti, Raúl Monroy, Jose Emmanuel Ramirez-Marquez

IEEE Access, 2019

2018

FiToViz: A Visualisation Approach for Real-Time Risk Situation Awareness.

Armando López-Cuevas, Miguel Angel Medina-Pérez, Raúl Monroy, Jose Emmanuel Ramirez-Marquez, Luis A. Trejo

IEEE Trans. Affect. Comput., 2018

Towards an Efficient One-Class Classifier for Mobile Devices and Wearable Sensors on the Context of Personal Risk Detection.

Luis A. Trejo, Ari Yair Barrera-Animas

Sensors, 2018

2017

Online personal risk detection based on behavioural and physiological patterns.

Ari Yair Barrera-Animas, Luis A. Trejo, Miguel Angel Medina-Pérez, Raúl Monroy, José Benito Camiña, Fernando Godínez

Inf. Sci., 2017

2016

Temporal and Spatial Locality: An Abstraction for Masquerade Detection.

José Benito Camiña, Raúl Monroy, Luis A. Trejo, Miguel Angel Medina-Pérez

IEEE Trans. Inf. Forensics Secur., 2016

Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data.

Jorge Rodríguez-Ruiz, Ari Yair Barrera-Animas, Luis A. Trejo, Miguel Angel Medina-Pérez, Raúl Monroy

Sensors, 2016

Mining IP to Domain Name Interactions to Detect DNS Flood Attacks on Recursive DNS Servers.

Roberto Alonso, Raúl Monroy, Luis A. Trejo

Sensors, 2016

2014

The Windows-Users and -Intruder simulations Logs dataset (WUIL): An experimental framework for masquerade detection mechanisms.

Benito Camiña, Carlos Arturo Hernández-Gracidas, Raúl Monroy, Luis A. Trejo

Expert Syst. Appl., 2014

2012

Analyzing Log Files for Postmortem Intrusion Detection.

Karen A. García, Raúl Monroy, Luis A. Trejo, J. Carlos Mex-Perera, Eduardo Aguirre-Bermúdez

IEEE Trans. Syst. Man Cybern. Part C, 2012

2011

Towards Building a Masquerade Detection Method Based on User File System Navigation.

Benito Camiña, Raúl Monroy, Luis A. Trejo, Erika Sánchez

Proceedings of the Advances in Artificial Intelligence, 2011

2006

A Tool for Managing Security Policies in Organisations.

Anna V. Álvarez, Karen A. García, Raúl Monroy, Luis A. Trejo, Jesús Vázquez

Proceedings of the Advances in Information and Computer Security, 2006

1995

Improving Back-Propagation: Epsilon-Back-Propagation.

Luis A. Trejo, Carlos Sandoval

Proceedings of the From Natural to Artificial Neural Computation, 1995

1994

Programming Environment for Phase-Reconfigurable Parallel Programming on SuperNode.

Jean-Marc Adamo, Luis A. Trejo

J. Parallel Distributed Comput., 1994

1992

Developing a software interface for the dynamically reconfigurable SuperNode multiprocessor.

Jean-Marc Adamo, N. Alhafez, Jean-François Bonneville, Christophe Bonello, P. Moukeli, Luis A. Trejo

Future Gener. Comput. Syst., 1992

Programming Environment fo rPhase-Reconfigurable Parallel Programming on SuperNode.

Jean-Marc Adamo, Christophe Bonello, Luis A. Trejo

Proceedings of the Fourth IEEE Symposium on Parallel and Distributed Processing, 1992

Experimenting upon the CG Algorithm Within the C_NET Programming Environment.

Jean-Marc Adamo, Luis A. Trejo

Proceedings of the Parallel Processing: CONPAR 92, 1992

The C_NET Programming Environment: An Overview.

Jean-Marc Adamo, Christophe Bonello, Luis A. Trejo

Proceedings of the Parallel Processing: CONPAR 92, 1992

Virtual machine and software interface for the dynamically reconfigurable SuperNode multiprocessor.

Jean-Marc Adamo, Christophe Bonello, Luis A. Trejo

Proceedings of the First International Workshop on Configurable Distributed Systems, 1992