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Journal Articles
- 2025
[j21]Enrique González-Núñez
, Luis A. Trejo, Michael Kampouridis:
Expanding a machine learning class towards its application to the stock market forecast. Appl. Intell. 55(1): 21 (2025)- 2024
- [j20]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): 34 (2024) - 2023
- [j19]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: 128135-128152 (2023) - [j18]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): 2650 (2023) - 2022
- [j17]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: 106909-106920 (2022) - 2021
- [j16]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): 8293 (2021) - 2020
- [j15]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: 41749-41763 (2020) - [j14]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): 2350 (2020) - 2019
- [j13]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: 116358-116369 (2019) - [j12]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): 2017 (2019) - [j11]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): 3808 (2019) - 2018
- [j10]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): 2857 (2018) - [j9]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): 372-382 (2018) - 2017
- [j8]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: 281-297 (2017) - 2016
- [j7]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): 1311 (2016) - [j6]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): 1619 (2016) - [j5]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): 2036-2051 (2016) - 2014
- [j4]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): 919-930 (2014) - 2012
- [j3]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): 1690-1704 (2012) - 1994
- [j2]Jean-Marc Adamo, Luis A. Trejo:
Programming Environment for Phase-Reconfigurable Parallel Programming on SuperNode. J. Parallel Distributed Comput. 23(3): 278-292 (1994) - 1992
- [j1]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): 183-189 (1992)
Conference and Workshop Papers
- 2024
- [c11]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: 7085-7089 - [c10]Jesus Dassaef López-Barrios, Ilse Karena de Anda-García, Raul Jimenez-Cruz, Luis A. Trejo, Gilberto Ochoa-Ruiz, Miguel González-Mendoza:
Predicting Water Levels Using Gradient Boosting Regressor and LSTM Models: A Case Study of Lago de Chapala Dam. MICAI (1) 2024: 101-120 - 2021
- [c9]Enrique González-Núñez, Luis A. Trejo:
Artificial Organic Networks Approach Applied to the Index Tracking Problem. MICAI (1) 2021: 23-43 - [c8]Ramón Hinojosa Alejandro, Luis A. Trejo, Laura Hervert-Escobar, Neil Hernández-Gress, Enrique González-Núñez:
Mexican Stock Return Prediction with Differential Evolution for Hyperparameter Tuning. MICAI (1) 2021: 355-368 - 2011
- [c7]Benito Camiña, Raúl Monroy, Luis A. Trejo, Erika Sánchez:
Towards Building a Masquerade Detection Method Based on User File System Navigation. MICAI (1) 2011: 174-186 - 2006
- [c6]Anna V. Álvarez, Karen A. García, Raúl Monroy, Luis A. Trejo, Jesús Vázquez:
A Tool for Managing Security Policies in Organisations. IWSEC 2006: 378-388 - 1995
- [c5]Luis A. Trejo, Carlos Sandoval:
Improving Back-Propagation: Epsilon-Back-Propagation. IWANN 1995: 427-432 - 1992
- [c4]Jean-Marc Adamo, Christophe Bonello, Luis A. Trejo:
Virtual machine and software interface for the dynamically reconfigurable SuperNode multiprocessor. CDS 1992: 237-249 - [c3]Jean-Marc Adamo, Christophe Bonello, Luis A. Trejo:
The C_NET Programming Environment: An Overview. CONPAR 1992: 115-120 - [c2]Jean-Marc Adamo, Luis A. Trejo:
Experimenting upon the CG Algorithm Within the C_NET Programming Environment. CONPAR 1992: 841-842 - [c1]Jean-Marc Adamo, Christophe Bonello, Luis A. Trejo:
Programming Environment fo rPhase-Reconfigurable Parallel Programming on SuperNode. SPDP 1992: 452-459
Data and Artifacts
- 2024
- [d4]Ari Yair Barrera-Animas, Luis A. Trejo:
PRIDE (Personal Risk Detection) dataset. IEEE DataPort, 2024
- [d3]Yury E. García, Miryam Elizabeth Villa-Pérez, Kuang Li, Xiao Hui Tai, Luis A. Trejo, Maria L. Daza-Torres, J. Cricelio Montesinos-Lopez, Miriam Nuño:
Twitter Tubbs Fire dataset. IEEE DataPort, 2024 - [d2]Enrique González-Núñez, Luis A. Trejo:
datasets of stock market indices. IEEE DataPort, 2024 - 2022
- [d1]Josue Genaro Almaraz-Rivera, Jesús Arturo Pérez Díaz, Jose Antonio Cantoral-Ceballos, Juan Felipe Botero, Luis A. Trejo:
LATAM-DDoS-IoT dataset. IEEE DataPort, 2022
Coauthor Index
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