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Christian Efraín Maldonado-Sifuentes

Christian Efraín Maldonado-Sifuentes
TRAI-L.com

Doctor of Philosophy
Looking for collaborators for trans-disciplinary projects where we can hel with Applied Artificial intelligence.

About

23
Publications
5,257
Reads
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16
Citations
Education
August 2018 - December 2022
Centro de Investigación en Computación del Instituto Politécnico Nacional
Field of study
  • Computer Science
January 2017 - July 2018
Centro de Investigación en Computación del Instituto Politécnico Nacional
Field of study
  • Computer Science

Publications

Publications (23)
Article
Full-text available
Indigenous languages like Purépecha face significant challenges in the modern era, particularly due to limited digital resources and a dwindling number of speakers. This study, conducted by researchers from CIC-IPN and CONAHCYT, presents a novel application of Transformer-based neural networks for the automatic translation of Purépecha to Spanish....
Article
Full-text available
This study employs advanced computational techniques to conduct a spatiotemporal analysis of monthly sea surface temperature (SST) and chlorophyll-a concentration (Chla) in the Gulf of California (GC) from 1998 to 2015. The analysis uses satellite imagery with 4 km resolution from AVHRR, MODIS-Aqua, and SeaWiFS sensors, which were processed through...
Article
Dermatological diseases, including skin cancer, represent a significant challenge for global health systems. Early and accurate diagnosis is crucial to improve patient outcomes and reduce treatment costs. This study leverages an ensemble system combining Convolutional Neural Network (CNN) and Hybrid Sequential Neural Network (HSNN) models to accura...
Preprint
Full-text available
In the present manuscript, we introduce a novel and holistic architecture for the ProtoAGI system, conceptualized from a systems engineering standpoint. This architecture is elaborately crafted to emulate artificial general intelligence (AGI) through the integration of diverse components and knowledge frameworks, thereby augmenting its performance...
Article
Full-text available
In this paper, we present an in-depth analysis leveraging several renowned machine learning techniques, including Snap Random Forest, XGBoost, Extra Trees, and Snap Decision Trees, to characterize comorbidity factors influencing the Mexican population. Distinct from existing literature, our study undertakes a comprehensive exploration of algorithms...
Conference Paper
Full-text available
This paper offers a comparative analysis of two state-of-the-art machine translation models for Spanish to Indigenous languages of Colombia and Mexico, with the aim of investigating their effectiveness and limitations under low-resource conditions. Our methodology involved aligning verse pairs text using the Bible for twelve Indigenous languages an...
Chapter
In present work, we enhance the diagnosis of skin-cancer by applying Natural Language processing and Machine Learning techniques to a specific classification problem. Our experimentation with different architectures yielded noteworthy results over a specific corpora of medical notes. Using a BoW/TF-IDF representation of the corpus and a 1-dimension...
Preprint
Full-text available
In this paper, we present a parallel Spanish-Mazatec and Spanish-Mixtec corpus for machine translation (MT) tasks, where Mazatec and Mixtec are two indigenous Mexican languages. We evaluated the usability of the collected corpus using three different approaches: transformer, transfer learning, and fine-tuning pre-trained multilingual MT models. Fin...
Conference Paper
Full-text available
In this paper, we present a parallel Spanish- Mazatec and Spanish-Mixtec corpus for machine translation (MT) tasks, where Mazatec and Mixtec are two indigenous Mexican languages. We evaluated the usability of the collected corpus using three different approaches: transformer, transfer learning, and fine-tuning pre-trained multilingual MT models. Fi...
Article
Full-text available
In recent times, there has been a growing interest in the domain of computationally challenging problem solving within both scientific and organizational contexts. This study is primarily concerned with the extraction and comprehension of the methodologies and strategies employed by individuals when confronted with intricate problems, specifically...
Conference Paper
Full-text available
CIC-IPN Resumen Introducción Tradicionalmente, más de 7 millones de personas distribuidas en 68 grupos lingüísticos y aproximadamente 364 variantes lingüísticas, han sido excluidas del desarrollo tecnológico. Este efecto genera una brecha digital que, en consecuencia, produce mayores desigualdades y falta de acceso a las oportunidades para las pers...
Conference Paper
Full-text available
In a world where Artifcial Intelligence has advanced so much, so fast, no single human should be excluded for not speaking a dominant language. As of today most of the advances on AI language research has been done for a handful of dominant languages, excluding-almost completely-the thousands of minority and endangered languages of the world, makin...
Article
Full-text available
In a world where Artificial Intelligence has advanced so much, so fast, no single human should be excluded for not speaking a dominant language. As of today most of the advances on AI language research has been done for a handful of dominant languages, excluding —almost completely— the thousands of minority and endangered languages of the world, ma...
Chapter
Full-text available
The virality of a tweet is essential to convey its message to a broader audience and, eventually, to generate influence. This is especially important for news outlets as they struggle to transition from traditional media to online formats. As their usual readers will not migrate directly to digital news outlets need to gather new audiences from the...
Article
Full-text available
The matter of influence and virality in social media has been studied since the popularity explosion of these platforms. A gargantuan amount of news and political messaging transits through Twitter every second, making it a formidable force for the propagation of information. In order to stay competitive, traditional media needs to participate in t...
Book
Full-text available
Introduction For a long time, indigenous languages in general, and Mexican in particular, have been a niche research area. Different disciplines, from Linguistics, anthropology, and sociology, to —in a lesser fashion— Computational Linguistics and Natural Language Processing, are traditional stakeholders on the topic. Still, the cost-benefit ratio...
Preprint
Full-text available
De individuos a instituciones y desde chismes hasta causas sociales, todos quieren ser escuchados. Un mensaje en las redes sociales es un mensaje para el mundo o, al menos, para un grupo. Para que el men-saje se propague, tener una audiencia es una necesidad imprescindible. Twitter es uno de los espacios de discusión de más rápido movimiento (una c...
Preprint
Full-text available
Proceedings of the First Natural Language Processing for Indigenous Languages Congress
Article
Full-text available
This work explores the exploitation of pre-processing, feature extraction and the averaged combination of Support Vector Machines (SVM) outputs for the open-set Cross-Domain Authorship Attribution task. The use of punctuation n-grams as a feature representation of a document is introduced for the Authorship Attribution in combination with tradition...
Method
Full-text available
A320228 Distribute the primes into groups in ascending order, with the n-th group having prime(n) elements. Then a(n) is the sum of the numbers in the n-th group times the number of elements in the group.
Article
Full-text available
The growing relevance of social media for the communication strategies of public entities – like governmental, political, commercial and NGOs, and public personalities – has been widely accepted in recent years. It is plausible that the lack of a method for delivering content to the general public diminishes the reach and impact of the communicatio...

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