Luis A. Trejo

36 papers Misc 3Journal 25Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A comparative and statistical analysis of depression classification in social media: assessing the impact of temporal boundaries and text representations.
Soc. Netw. Anal. Min.
Miryam Elizabeth Villa-Pérez, Karla María Valencia-Segura, Daniela Moctezuma, Luis Villaseñor-Pineda, Luis A. Trejo
2025 J jnl
Expanding a machine learning class towards its application to the stock market forecast.
Appl. Intell.
Enrique González-Núñez, Luis A. Trejo, Michael Kampouridis
2024 J jnl
A Comparative Study for Stock Market Forecast Based on a New Machine Learning Model.
Big Data Cogn. Comput.
Enrique González-Núñez, Luis A. Trejo, Michael Kampouridis
2024 Misc conf
A Machine-Learning Model for Detecting Depression, Anxiety, and Stress from Speech.
ICASSP
Mashrura Tasnim, Ramon E. Diaz-Ramos, Eleni Stroulia, Luis A. Trejo
2024 — conf
Predicting Water Levels Using Gradient Boosting Regressor and LSTM Models: A Case Study of Lago de Chapala Dam.
MICAI (1)
Jesus Dassaef López-Barrios, Ilse Karena de Anda-García, Raúl Jiménez-Cruz, Luis A. Trejo, Gilberto Ochoa-Ruiz, Miguel González-Mendoza
2023 J jnl
Extracting Mental Health Indicators From English and Spanish Social Media: A Machine Learning Approach.
IEEE Access
Miryam Elizabeth Villa-Pérez, Luis A. Trejo, Maisha Binte Moin, Eleni Stroulia
2023 J jnl
Measuring the Effectiveness of a Multicomponent Program to Manage Academic Stress through a Resilience to Stress Index.
Sensors
Carlos Figueroa López, Andrés Ayala, Luis A. Trejo, Bertha Ramos, Clara L. Briz, Isabella Noriega, Alejandro Chávez
2022 J jnl
A Novel Machine Learning Method Applied to the Forecast of a Stock Market Index.
Res. Comput. Sci.
Enrique González-Núñez, Luis A. Trejo
2022 J jnl
Toward the Protection of IoT Networks: Introducing the LATAM-DDoS-IoT Dataset.
IEEE Access
Josue Genaro Almaraz-Rivera, Jesús Arturo Pérez Díaz, Jose Antonio Cantoral-Ceballos, Juan Felipe Botero, Luis A. Trejo
2021 — conf
Artificial Organic Networks Approach Applied to the Index Tracking Problem.
MICAI (1)
Enrique González-Núñez, Luis A. Trejo
2021 — conf
Mexican Stock Return Prediction with Differential Evolution for Hyperparameter Tuning.
MICAI (1)
Ramón Hinojosa Alejandro, Luis A. Trejo, Laura Hervert-Escobar, Neil Hernández-Gress, Enrique González-Núñez
2021 J jnl
Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach.
Sensors
Ramon E. Diaz-Ramos, Daniela A. Gomez-Cravioto, Luis A. Trejo, Carlos Figueroa López, Miguel Angel Medina-Pérez
2020 J jnl
Choosing the Best Sensor Fusion Method: A Machine-Learning Approach.
Sensors
Ramón F. Brena, Antonio A. Aguileta, Luis A. Trejo, Erik Molino-Minero-Re, Oscar Mayora
2020 J jnl
m-OCKRA: An Efficient One-Class Classifier for Personal Risk Detection, Based on Weighted Selection of Attributes.
IEEE Access
Miryam Elizabeth Villa-Pérez, Luis A. Trejo
2019 J jnl
DNS-ADVP: A Machine Learning Anomaly Detection and Visual Platform to Protect Top-Level Domain Name Servers Against DDoS Attacks.
IEEE Access
Luis A. Trejo, Victor Ferman, Miguel Angel Medina-Pérez, Fernando Miguel Arredondo Giacinti, Raúl Monroy, Jose Emmanuel Ramirez-Marquez
2019 J jnl
Multi-Sensor Fusion for Activity Recognition - A Survey.
Sensors
Antonio A. Aguileta, Ramón F. Brena, Oscar Mayora, Erik Molino-Minero-Re, Luis A. Trejo
2019 J jnl
Virtual Sensors for Optimal Integration of Human Activity Data.
Sensors
Antonio A. Aguileta, Ramón F. Brena, Oscar Mayora, Erik Molino-Minero-Re, Luis A. Trejo
2018 J jnl
FiToViz: A Visualisation Approach for Real-Time Risk Situation Awareness.
IEEE Trans. Affect. Comput.
Armando López-Cuevas, Miguel Angel Medina-Pérez, Raúl Monroy, Jose Emmanuel Ramirez-Marquez, Luis A. Trejo
2018 J jnl
Towards an Efficient One-Class Classifier for Mobile Devices and Wearable Sensors on the Context of Personal Risk Detection.
Sensors
Luis A. Trejo, Ari Yair Barrera-Animas
2017 J jnl
Online personal risk detection based on behavioural and physiological patterns.
Inf. Sci.
Ari Yair Barrera-Animas, Luis A. Trejo, Miguel Angel Medina-Pérez, Raúl Monroy, José Benito Camiña, Fernando Godínez
2016 J jnl
Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data.
Sensors
Jorge Rodríguez-Ruiz, Ari Yair Barrera-Animas, Luis A. Trejo, Miguel Angel Medina-Pérez, Raúl Monroy
2016 J jnl
Mining IP to Domain Name Interactions to Detect DNS Flood Attacks on Recursive DNS Servers.
Sensors
Roberto Alonso, Raúl Monroy, Luis A. Trejo
2016 J jnl
Temporal and Spatial Locality: An Abstraction for Masquerade Detection.
IEEE Trans. Inf. Forensics Secur.
José Benito Camiña, Raúl Monroy, Luis A. Trejo, Miguel Angel Medina-Pérez
2014 J jnl
The Windows-Users and -Intruder simulations Logs dataset (WUIL): An experimental framework for masquerade detection mechanisms.
Expert Syst. Appl.
Benito Camiña, Carlos Arturo Hernández-Gracidas, Raúl Monroy, Luis A. Trejo
2012 J jnl
Analyzing Log Files for Postmortem Intrusion Detection.
IEEE Trans. Syst. Man Cybern. Part C
Karen A. García, Raúl Monroy, Luis A. Trejo, J. Carlos Mex-Perera, Eduardo Aguirre-Bermúdez
2012 J jnl
Complejidad computacional de un caso especial de cálculo de grupos en las redes de interacción.
Res. Comput. Sci.
Luis A. Trejo, Raúl Monroy, Roberto Alonso
2012 J jnl
Un nuevo esquema para la detección de ataques en redes inalámbricas.
Res. Comput. Sci.
Jorge Vázquez, Luis A. Trejo, Raúl Monroy
2011 — conf
Towards Building a Masquerade Detection Method Based on User File System Navigation.
MICAI (1)
Benito Camiña, Raúl Monroy, Luis A. Trejo, Erika Sánchez
2006 Misc conf
A Tool for Managing Security Policies in Organisations.
IWSEC
Anna V. Álvarez, Karen A. García, Raúl Monroy, Luis A. Trejo, Jesús Vázquez
1995 Misc conf
Improving Back-Propagation: Epsilon-Back-Propagation.
IWANN
Luis A. Trejo, Carlos Sandoval
1994 J jnl
Programming Environment for Phase-Reconfigurable Parallel Programming on SuperNode.
J. Parallel Distributed Comput.
Jean-Marc Adamo, Luis A. Trejo
1992 J jnl
Developing a software interface for the dynamically reconfigurable SuperNode multiprocessor.
Future Gener. Comput. Syst.
Jean-Marc Adamo, N. Alhafez, Jean-François Bonneville, Christophe Bonello, P. Moukeli, Luis A. Trejo
1992 — conf
Experimenting upon the CG Algorithm Within the C_NET Programming Environment.
CONPAR
Jean-Marc Adamo, Luis A. Trejo
1992 — conf
Programming Environment fo rPhase-Reconfigurable Parallel Programming on SuperNode.
SPDP
Jean-Marc Adamo, Christophe Bonello, Luis A. Trejo
1992 — conf
The C_NET Programming Environment: An Overview.
CONPAR
Jean-Marc Adamo, Christophe Bonello, Luis A. Trejo
1992 — conf
Virtual machine and software interface for the dynamically reconfigurable SuperNode multiprocessor.
CDS
Jean-Marc Adamo, Christophe Bonello, Luis A. Trejo