Raúl Monroy
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View article: Omics Insights into Cylindrospermopsin’s Molecular Toxicity
Omics Insights into Cylindrospermopsin’s Molecular Toxicity Open
Cylindrospermopsin (CYN) is a potent cyanotoxin that poses a significant risk to human and animal health. Due to its occurrence in drinking water and food, as well as its ability to bioaccumulate in aquatic organisms and plants irrigated w…
View article: Can Artificial Intelligence Write Like Borges? An Evaluation Protocol for Spanish Microfiction
Can Artificial Intelligence Write Like Borges? An Evaluation Protocol for Spanish Microfiction Open
Automated story writing has been a subject of study for over 60 years. Today, large language models can generate narratively consistent and linguistically coherent short fiction texts. Despite these advancements, rigorous assessment of suc…
View article: Can Artificial Intelligence Write Like Borges? An Evaluation Protocol for Spanish Microfiction
Can Artificial Intelligence Write Like Borges? An Evaluation Protocol for Spanish Microfiction Open
Automated story writing has been a subject of study for over 60 years. Large language models can generate narratively consistent and linguistically coherent short fiction texts. Despite these advancements, rigorous assessment of such outpu…
View article: Advanced machine learning techniques for social support detection on social media
Advanced machine learning techniques for social support detection on social media Open
The widespread use of social media highlights the need to understand its impact, particularly the role of online social support. In this study, we present a dataset of YouTube comments, initially comprising 66,272 entries, which was refine…
View article: Introducing GrAImes: A Literary Quality Evaluation Protocol for AI Generated Microfictions
Introducing GrAImes: A Literary Quality Evaluation Protocol for AI Generated Microfictions Open
Automated story writing has been a subject of study for over 60 years. While there are mechanisms capable of generating consistent and coherent stories, and even those that employ narratological theories or demonstrate a strong command of …
View article: Evaluating Competency Development and Academic Outcomes: Insights from Six Semesters of Data-Driven Analysis
Evaluating Competency Development and Academic Outcomes: Insights from Six Semesters of Data-Driven Analysis Open
Competency-Based Education (CBE) has been widely studied since the 1970s, yet it remains innovative due to its challenges across disciplines and cultures. Tecnológico de Monterrey, a Mexican private institution, implements CBE through its …
View article: Spherical model for Minimalist Machine Learning paradigm in handling complex databases
Spherical model for Minimalist Machine Learning paradigm in handling complex databases Open
This paper presents the development of the N-Spherical Minimalist Machine Learning (MML) classifier, an innovative model within the Minimalist Machine Learning paradigm. Using N-spherical coordinates and concepts from metaheuristics and as…
View article: Online Social Support Detection in Spanish Social Media Texts
Online Social Support Detection in Spanish Social Media Texts Open
The advent of social media has transformed communication, enabling individuals to share their experiences, seek support, and participate in diverse discussions. While extensive research has focused on identifying harmful content like hate …
View article: Advanced Machine Learning Techniques for Social Support Detection on Social Media
Advanced Machine Learning Techniques for Social Support Detection on Social Media Open
The widespread use of social media highlights the need to understand its impact, particularly the role of online social support. This study uses a dataset focused on online social support, which includes binary and multiclass classificatio…
View article: Beyond Performance: Designing a Super-Resolution Architecture Search Space and a Hybrid Multi-Objective Approach for Neural Architecture Optimization
Beyond Performance: Designing a Super-Resolution Architecture Search Space and a Hybrid Multi-Objective Approach for Neural Architecture Optimization Open
Multi-objective neural architecture search (NAS) for super-resolution image restoration (SRIR) targets models that simultaneously deliver high-fidelity reconstructions and respect strict computational budgets—requirements that single-objec…
View article: Improving Identification by Removing Obstructive Minutiae From Latent Fingerprints
Improving Identification by Removing Obstructive Minutiae From Latent Fingerprints Open
Latent fingerprint identification is essential in forensic science for linking suspects to crime scenes or, conversely, confirming a person’s innocence. However, latent fingerprints often are partial prints with undesirable characteristics…
View article: New Evaluation Method for Fuzzy Cluster Validity Indices
New Evaluation Method for Fuzzy Cluster Validity Indices Open
Cluster analysis is the process of associating data objects with classes of similar objects. One key aspect of the clustering problem is to determine the optimal number of groups on a data set to effectively partition it. The process of es…
View article: Emphasizing the Early Phases of the Software Development Process Before Deploying Smart Contracts
Emphasizing the Early Phases of the Software Development Process Before Deploying Smart Contracts Open
Immutability is one of the main characteristics of Blockchain. However, most software development is not static. This dilemma, among others, has caused a new branch of blockchain-oriented software engineering. This paper emphasizes the imp…
View article: Assessing sustainability competencies in contemporary STEM higher education: a data-driven analysis at Tecnologico de Monterrey
Assessing sustainability competencies in contemporary STEM higher education: a data-driven analysis at Tecnologico de Monterrey Open
In contemporary higher education within STEM fields, fostering and assessing sustainability competencies is essential for promoting lifelong learning with a comprehensive understanding of the relationships between innovation and environmen…
View article: Enhancing latent palmprints using frequency domain analysis
Enhancing latent palmprints using frequency domain analysis Open
Latent palmprints are integral to crime scene investigations, constituting a significant portion of encountered prints. They often suffer from poor ridge impressions, noise, and pronounced creases, setting them apart from other palmprint t…
View article: Automated Discovery of Successful Strategies in Association Football
Automated Discovery of Successful Strategies in Association Football Open
Using automated data analysis to understand what makes a play successful in football can enable teams to make data-driven decisions that may enhance their performance throughout the season. Analyzing different types of plays (e.g., corner,…
View article: Botnet Identification on Twitter: A Novel Clustering Approach Based on Similarity
Botnet Identification on Twitter: A Novel Clustering Approach Based on Similarity Open
Due to Twitter’s potential reach and influence, malicious automated accounts and services have been operating and growing without control. One of the most recognizable is the bot, a piece of programming or automated system reproducing an a…
View article: A novel indexing algorithm for latent palmprints leveraging minutiae and orientation field
A novel indexing algorithm for latent palmprints leveraging minutiae and orientation field Open
Latent palmprints represent crucial forensic evidence in criminal investigations, necessitating their storage in governmental databases. The identification of corresponding palmprints within large-scale databases using an automated palmpri…
View article: Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout
Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout Open
When facing a classification problem, data science practitioners must search through an armory of methods. Often, practitioners are tempted to use off-the-shelf classifiers, including automated Machine Learning (AutoML) toolboxes; however,…
View article: A High-Level Representation of the Navigation Behavior of Website Visitors
A High-Level Representation of the Navigation Behavior of Website Visitors Open
Knowing how visitors navigate a website can lead to different applications. For example, providing a personalized navigation experience or identifying website failures. In this paper, we present a method for representing the navigation beh…
View article: RootLogChain: Registering Log-Events in a Blockchain for Audit Issues from the Creation of the Root
RootLogChain: Registering Log-Events in a Blockchain for Audit Issues from the Creation of the Root Open
Logging system activities are required to provide credibility and confidence in the systems used by an organization. Logs in computer systems must be secured from the root user so that they are true and fair. This paper introduces RootLogC…
View article: Dwell Time Estimation of Import Containers as an Ordinal Regression Problem
Dwell Time Estimation of Import Containers as an Ordinal Regression Problem Open
The optimal stacking of import containers in a terminal reduces the reshuffles during the unloading operations. Knowing the departure date of each container is critical for optimal stacking. However, such a date is rarely known because it …
View article: A Review of Fuzzy and Pattern-Based Approaches for Class Imbalance Problems
A Review of Fuzzy and Pattern-Based Approaches for Class Imbalance Problems Open
The usage of imbalanced databases is a recurrent problem in real-world data such as medical diagnostic, fraud detection, and pattern recognition. Nevertheless, in class imbalance problems, the classifiers are commonly biased by the class w…
View article: Impact of Minutiae Errors in Latent Fingerprint Identification: Assessment and Prediction
Impact of Minutiae Errors in Latent Fingerprint Identification: Assessment and Prediction Open
We study the impact of minutiae errors in the performance of latent fingerprint identification systems. We perform several experiments in which we remove ground-truth minutiae from latent fingerprints and evaluate the effects on matching s…
View article: Bot Datasets on Twitter: Analysis and Challenges
Bot Datasets on Twitter: Analysis and Challenges Open
The reach and influence of social networks over modern society and its functioning have created new challenges and opportunities to prevent the misuse or tampering of such powerful tools of social interaction. Twitter, a social networking …
View article: Learning-Based Dissimilarity for Clustering Categorical Data
Learning-Based Dissimilarity for Clustering Categorical Data Open
Comparing data objects is at the heart of machine learning. For continuous data, object dissimilarity is usually taken to be object distance; however, for categorical data, there is no universal agreement, for categories can be ordered in …