Luis A. Trejo

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 19

Top Topics

Machine Learning

Top Venues

Publications

Enrique González-Núñez, Luis A. Trejo, Michael Kampouridis
A Comparative Study for Stock Market Forecast Based on a New Machine Learning Model. Big Data Cogn. Comput. 8 (4) (2024)
Mashrura Tasnim, Ramon E. Diaz-Ramos, Eleni Stroulia, Luis A. Trejo
A Machine-Learning Model for Detecting Depression, Anxiety, and Stress from Speech. ICASSP (2024)
Carlos Figueroa López, Andrés Ayala, Luis A. Trejo, Bertha Ramos, Clara L. Briz, Isabella Noriega, Alejandro Chávez
Measuring the Effectiveness of a Multicomponent Program to Manage Academic Stress through a Resilience to Stress Index. Sensors 23 (5) (2023)
Miryam Elizabeth Villa-Pérez, Luis A. Trejo, Maisha Binte Moin, Eleni Stroulia
Extracting Mental Health Indicators From English and Spanish Social Media: A Machine Learning Approach. IEEE Access 11 (2023)
Josue Genaro Almaraz-Rivera, Jesús Arturo Pérez Díaz, Jose Antonio Cantoral-Ceballos, Juan Felipe Botero, Luis A. Trejo
Toward the Protection of IoT Networks: Introducing the LATAM-DDoS-IoT Dataset. IEEE Access 10 (2022)
Ramon E. Diaz-Ramos, Daniela A. Gomez-Cravioto, Luis A. Trejo, Carlos Figueroa López, Miguel Angel Medina-Pérez
Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach. Sensors 21 (24) (2021)
Enrique González N., Luis A. Trejo
Artificial Organic Networks Approach Applied to the Index Tracking Problem. MICAI (1) (2021)
Ramón Hinojosa Alejandro, Luis A. Trejo, Laura Hervert-Escobar, Neil Hernández-Gress, Enrique González N.
Mexican Stock Return Prediction with Differential Evolution for Hyperparameter Tuning. MICAI (1) (2021)
Ramón F. Brena, Antonio A. Aguileta, Luis A. Trejo, Erik Molino-Minero-Re, Oscar Mayora
Choosing the Best Sensor Fusion Method: A Machine-Learning Approach. Sensors 20 (8) (2020)
Miryam Elizabeth Villa-Pérez, Luis A. Trejo
m-OCKRA: An Efficient One-Class Classifier for Personal Risk Detection, Based on Weighted Selection of Attributes. IEEE Access 8 (2020)
Antonio A. Aguileta, Ramón F. Brena, Oscar Mayora, Erik Molino-Minero-Re, Luis A. Trejo
Virtual Sensors for Optimal Integration of Human Activity Data. Sensors 19 (9) (2019)
Antonio A. Aguileta, Ramón F. Brena, Oscar Mayora, Erik Molino-Minero-Re, Luis A. Trejo
Multi-Sensor Fusion for Activity Recognition - A Survey. Sensors 19 (17) (2019)
Luis A. Trejo, Victor Ferman, Miguel Angel Medina-Pérez, Fernando Miguel Arredondo Giacinti, Raúl Monroy, Jose Emmanuel Ramirez-Marquez
DNS-ADVP: A Machine Learning Anomaly Detection and Visual Platform to Protect Top-Level Domain Name Servers Against DDoS Attacks. IEEE Access 7 (2019)
Armando López-Cuevas, Miguel Angel Medina-Pérez, Raúl Monroy, Jose Emmanuel Ramirez-Marquez, Luis A. Trejo
FiToViz: A Visualisation Approach for Real-Time Risk Situation Awareness. IEEE Trans. Affect. Comput. 9 (3) (2018)
Luis A. Trejo, Ari Yair Barrera-Animas
Towards an Efficient One-Class Classifier for Mobile Devices and Wearable Sensors on the Context of Personal Risk Detection. Sensors 18 (9) (2018)
Ari Yair Barrera-Animas, Luis A. Trejo, Miguel Angel Medina-Pérez, Raúl Monroy, José Benito Camiña, Fernando Godínez
Online personal risk detection based on behavioural and physiological patterns. Inf. Sci. 384 (2017)
Jorge Rodríguez-Ruiz, Ari Yair Barrera-Animas, Luis A. Trejo, Miguel Angel Medina-Pérez, Raúl Monroy
Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data. Sensors 16 (10) (2016)
Roberto Alonso, Raúl Monroy, Luis A. Trejo
Mining IP to Domain Name Interactions to Detect DNS Flood Attacks on Recursive DNS Servers. Sensors 16 (8) (2016)
José Benito Camiña, Raúl Monroy, Luis A. Trejo, Miguel Angel Medina-Pérez
Temporal and Spatial Locality: An Abstraction for Masquerade Detection. IEEE Trans. Inf. Forensics Secur. 11 (9) (2016)
Benito Camiña, Carlos Arturo Hernández-Gracidas, Raúl Monroy, Luis A. Trejo
The Windows-Users and -Intruder simulations Logs dataset (WUIL): An experimental framework for masquerade detection mechanisms. Expert Syst. Appl. 41 (3) (2014)
Karen A. García, Raúl Monroy, Luis A. Trejo, J. Carlos Mex-Perera, Eduardo Aguirre-Bermúdez
Analyzing Log Files for Postmortem Intrusion Detection. IEEE Trans. Syst. Man Cybern. Part C 42 (6) (2012)
Benito Camiña, Raúl Monroy, Luis A. Trejo, Erika Sánchez
Towards Building a Masquerade Detection Method Based on User File System Navigation. MICAI (1) (2011)
Anna V. Álvarez, Karen A. García, Raúl Monroy, Luis A. Trejo, Jesús Vázquez
A Tool for Managing Security Policies in Organisations. IWSEC (2006)
Luis A. Trejo, Carlos Sandoval
Improving Back-Propagation: Epsilon-Back-Propagation. IWANN (1995)
Jean-Marc Adamo, Luis A. Trejo
Programming Environment for Phase-Reconfigurable Parallel Programming on SuperNode. J. Parallel Distributed Comput. 23 (3) (1994)
Jean-Marc Adamo, N. Alhafez, Jean-François Bonneville, Christophe Bonello, P. Moukeli, Luis A. Trejo
Developing a software interface for the dynamically reconfigurable SuperNode multiprocessor. Future Gener. Comput. Syst. 8 (1-3) (1992)
Jean-Marc Adamo, Christophe Bonello, Luis A. Trejo
Programming Environment fo rPhase-Reconfigurable Parallel Programming on SuperNode. SPDP (1992)
Jean-Marc Adamo, Christophe Bonello, Luis A. Trejo
Virtual machine and software interface for the dynamically reconfigurable SuperNode multiprocessor. CDS (1992)
Jean-Marc Adamo, Christophe Bonello, Luis A. Trejo
The C_NET Programming Environment: An Overview. CONPAR (1992)
Jean-Marc Adamo, Luis A. Trejo
Experimenting upon the CG Algorithm Within the C_NET Programming Environment. CONPAR (1992)