- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Logic, programming, and type systems
- Formal Methods in Verification
- Time Series Analysis and Forecasting
- Advanced Database Systems and Queries
- Advanced Chemical Sensor Technologies
- Data Mining Algorithms and Applications
- Retinal Imaging and Analysis
- Context-Aware Activity Recognition Systems
- Educational Innovations and Technology
- Business Process Modeling and Analysis
- Air Quality Monitoring and Forecasting
- Retinal Development and Disorders
- Educational Outcomes and Influences
- Aging, Health, and Disability
- Engineering and Information Technology
- Photoreceptor and optogenetics research
- Web Data Mining and Analysis
- Occupational Health and Safety in Workplaces
- Usability and User Interface Design
- Building Energy and Comfort Optimization
- Advanced Algebra and Logic
- Online Learning and Analytics
- Anomaly Detection Techniques and Applications
Universidad Nacional Autónoma de México
2019-2024
University of Mendoza
2023
El Colegio de la Frontera Sur
2022
De Agostini (Italy)
2022
Universidad Veracruzana
2016-2020
Federal Government of Mexico
2020
Consejo Nacional de Humanidades, Ciencias y Tecnologías
2016-2019
Mexican Social Security Institute
2019
Universidad Autónoma de la Ciudad de México
2019
Universidad de Xalapa
2018
Given the ever-increasing prevalence of type 2 diabetes and obesity, pressure on global healthcare is expected to be colossal, especially in terms blindness. Electroretinogram (ERG) has long been perceived as a first-use technique for diagnosing eye diseases, some studies suggested its use preventable risk factors thereby diabetic retinopathy (DR). Here, we show that non-evoked mode, ERG signals contain spontaneous oscillations predict disease cases rodent models obesity people with...
Standardized registries may provide valuable data to further improve stroke care. Our aim was obtain updated information about characteristics of patients and management across the Ibero-American countries, using a common in-hospital registry (Safe Implementation Treatments in Stroke–Sociedad Iberoamericana de Enfermedades Cerebrovasculares) as basis for quality improvement.Data this study were entered into Safe Stroke from September 2009 December 2013 by 58 centers 14 countries. Data...
Nowadays, context-aware systems use data obtained from various sources to adapt and provide services of interest users according their needs, location or interaction with the corresponding environment. However, heterogeneous creates a huge amount that may differ in format, transmission speed be affected by environmental noise. This generates some inconsistency data, which must detected time avoid erroneous analysis. is done using fusion, action for integrating diverse analyzed given context....
Picture books frequently make use of distinctive typography to indicate emphasis or evaluative expression, distinguish particular characters and contribute the interpretive possibilities narrative in a variety ways. However, potential significance is not always taken into account discussion interpretation children's literature picture book translation. In this paper we investigate influence interaction with language choices on Oliver Jeffers' STUCK (2011) discuss impact different Spanish...
<p><span>En el siglo <span>XXI</span> la migración irregular centroamericana por México y con destino a Estados Unidos es masiva e histórica; producida causas estructurales. Este artículo argumenta que, base en fuentes oficiales informes de derechos humanos (2014-2019), esta experimentó procesos contención territorial, derivada presión estadounidensey políticas migratorias del gobierno mexicano (Programa Frontera Sur 2014 envío Guardia Nacional esa misma zona 2019)....
In recent years, there is an interest to find new ways analyze and process data from different sources. One of these through user-centered mining, based on the fundamentals usability engineering accessibility. The academic achievement, at Language Communication Mathematics, students upper-middle education in Mexico was analyzed a partitional clustering algorithm. A variety achievements were observed, highlighting Insufficient Elementary evaluated population, while Good Excellent achieved by...
Resumen.Existe la necesidad natural de buscar nuevas formas analizar y procesar datos diferentes fuentes.Una estas es mediante una minería centrada en el usuario.Se analizó logro académico estudiantes nivel medio superior del país a través un algoritmo agrupamiento particional.Se observó variados niveles dominio, destacando Insuficiente Elemental más 70% población evaluada, mientras que Bueno Excelente fueron alcanzados por número reducido escuelas, 20%.Esto contrasta notable diferencia...
Biosignals are information sources obtained from the different biological and physiological structures of human organism.This paper presents advance proposal a method for biosignals analysis, which allows serving as support design adaptive user-interfaces.This includes four stages: collection, extraction preparation, getting patterns.This analysis obtaining user patterns through could be especially useful because they represent valuable related to events or actions behavior, incorporated in...
In daily life, people interact each other with the purpose to satisfy different activities such as leisure, health or security. These interactions are easily achieved due use of a common language that allows them express ideas, needs and problems, either in written oral form. However, this simplicity is not accessible for everyone if we also consider linguistic minorities some disability, which does listen, talk even read. article propose modular architecture based on scenarios interaction...
This paper presents the use of Data Mining to provide similar climatologically zones or regions in state Michoacan, Mexico. Hydrologically, availability homogeneous allows count on necessary data establish a reliable water balance assist decision making aimed at protect and take advantage rational way resources. sets used correspond climate records CLICOM stations (Climate Computing), established within Michoacan. The analysis variability region based these is important because often only...
Tweet geolocation is very important in many contexts: disaster relief, opinion polling, recommendation systems, etc. There are some recent studies showing that tweets with tags sparse several settings. Current state of the art algorithms for based on natural language processing methods. Most these have been tested English.Transformers machine learning models attention mechanisms. These proven successful and computer vision scenarios. In this paper, we propose a transformer model tweet...
Abstract Given the ever-increasing prevalence of type 2 diabetes and obesity, pressure on global healthcare is expected to be colossal, especially in terms blindness. Electroretinogram (ERG) has long been perceived as a first-use technique for diagnosing eye diseases, some studies suggested its use preventable risk factors thereby diabetic retinopathy (DR). Here, we show that non-evoked mode, ERG signals contain spontaneous oscillations predict disease cases rodent models obesity people with...
The μ-calculus is an expressive modal logic with fixed-point operators, well-known as a formal language to specify and verify labeled transition systems. We describe satisfiability algorithm for the interpreted on tree models extended converse modalities Presburger arithmetic operators. Converse modalities, together can be used multi-directional recursive properties in models. operators constrain number of children nodes respect expressions. based breadth-first search Fischer-Lardner...
Sign language involves various factors such as the position of hand, speed with which sign is made and even gestures face, so interpreting meaning a complex task.Thus, under point view computing, we have been working different proposals researches involve use technologies techniques that try to solve this problem.In present work offer brief review about problem classification signs.