Lázaro Bustio-Martínez

Orcid: 0000-0002-0273-0520

According to our database1, Lázaro Bustio-Martínez authored at least 22 papers between 2010 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Overview of Rest-Mex at IberLEF 2023: Research on Sentiment Analysis Task for Mexican Tourist Texts.
Proces. del Leng. Natural, 2023

A Decision Tree Induction Algorithm for Efficient Rule Evaluation Using Shannon's Expansion.
Proceedings of the Advances in Computational Intelligence, 2023

Towards Automatic Principles of Persuasion Detection Using Machine Learning Approach.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2023

2022
Natural language processing applied to tourism research: A systematic review and future research directions.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

Overview of Rest-Mex at IberLEF 2022: Recommendation System, Sentiment Analysis and Covid Semaphore Prediction for Mexican Tourist Texts.
Proces. del Leng. Natural, 2022

An autoencoder-based representation for noise reduction in distant supervision of relation extraction.
J. Intell. Fuzzy Syst., 2022

A lightweight data representation for phishing URLs detection in IoT environments.
Inf. Sci., 2022

FPGA/GPU-based Acceleration for Frequent Itemsets Mining: A Comprehensive Review.
ACM Comput. Surv., 2022

The Role of the Topics for the Sentiment Analysis Task on a Mexican Tourist Collection.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

Red Light/Green Light: A Lightweight Algorithm for, Possibly, Fraudulent Online Behavior Change Detection.
Proceedings of the Advances in Computational Intelligence, 2022

Evaluation of a New Representation for Noise Reduction in Distant Supervision.
Proceedings of the Advances in Computational Intelligence, 2022

2021
A multi-measure feature selection algorithm for efficacious intrusion detection.
Knowl. Based Syst., 2021

2020
On the design of hardware architectures for parallel frequent itemsets mining.
Expert Syst. Appl., 2020

2019
A novel multi-core algorithm for frequent itemsets mining in data streams.
Pattern Recognit. Lett., 2019

Using hashing and lexicographic order for Frequent Itemsets Mining on data streams.
J. Parallel Distributed Comput., 2019

Detection And Localization Of Splicing Attacks On Videos Using Block Correlation.
Proceedings of the IEEE Pacific Rim Conference on Communications, 2019

2018
On the design of hardware-software architectures for frequent itemsets mining on data streams.
J. Intell. Inf. Syst., 2018

2017
Approximate frequent itemsets mining on data streams using hashing and lexicographie order in hardware.
Proceedings of the 8th IEEE Latin American Symposium on Circuits & Systems, 2017

2015
Frequent Itemsets Mining in Data Streams Using Reconfigurable Hardware.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

2014
Integrating Computational Methods for Forensic Identification of Drugs by TLC, GC and UV Techniques.
Proceedings of the Computational Intelligence in Digital Forensics: Forensic Investigation and Applications, 2014

Hardware Acceleration of Frequent Itemsets Mining on Data Streams.
Res. Comput. Sci., 2014

2010
On the Design of a Hardware-Software Architecture for Acceleration of SVM's Training Phase.
Proceedings of the Advances in Pattern Recognition, 2010


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