Inteligencia Artificial Aplicada

Documentos

Ontological engineering for the definition of a COVID-19 pandemic ontology
COVID-19 has generated a lot of information in different formats, and one of them is in the ontology format. Also, there are previous ontologies from other disciplines that can help to analyze the COVID-19 pandemic. Thus, due to the large quantity of COVID-19 information in the form of ontologies, a...
year: 2022 - type: Scopus - journal: Informatics in Medicine Unlocked  - DOI: 10.1016/j.imu.2021.100816  - Google Schoolar: search

Evaluation of digital competence profiles using Dialetheic Logic
This work proposes analyzing the contradictions or ambivalences found in the academic and professional competencies published in digital media (for example, web pages or social networks) through a model of axioms based on dialetheic logic. Notably, the model considers five types of natural langua...
year: 2022 - type: Scopus - journal: International Journal of Artificial Intelligence in Education  - DOI: https://doi.org/10.1007/s40593-021-00286-8  - Google Schoolar: search

Analysis of feelings in messages received in the virtual learning environment of the open and distance modality of the utpl] [Análisis de sentimientos en los mensajes recibidos en el entorno virtual de aprendizaje de la modalidad abierta y a distancia de la utpl
This project pretends to analyze and classify the messages sent through the Virtual Learning Environment (EVA) of the Technical University of Loja. The aim of it is to know the level of positivism or negativism on students through automatic learning techniques. Different text mining methods are iden...
year: 2021 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informação  - Google Schoolar: search

Identification of drug relationships base on drugs codes extracted from informatics systems [Identificación de relaciones entre medicamentos en base a códigos extraídos de un sistema informático]
for the management of information generated from medical computer systems there are a variety of standards, ontologies and terminologies that are responsible for structuring and normalizing the information. Despite this, the large amount of data and codes generated make difficult to understand and w...
year: 2021 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao  - Google Schoolar: search

Machine Learning Model for the Prediction of Emotions in a Mobile Application
Emotional intelligence is a transversal axis in the integral development of the person. As a variable, in the interaction environment, research is carried out in various fields of science, reaching great advances with the contribution of artificial intelligence. The EMODIANA has been designed as a s...
year: 2021 - type: Scopus - journal: Communications in Computer and Information Science (CCIS)  - DOI: 10.1007/978-3-030-71503-8_20  - Google Schoolar: search

Artificial Intelligence for Cervical Cancer Analysis
Substantial works exist related to cervical cancer that is generally caused by human papillomavirus (HPV). These works have reported important results related to cervical cancer disease and HPV. Artificial intelligence applications are essential to diagnose and treat cervical cancer and so comb...
year: 2021 - type: Scopus - journal: International Journal of Advanced Trends in Computer Science and Engineering  - DOI: https://doi.org/10.30534/ijatcse/2021/671032021  - Google Schoolar: search

Metropolis: Emergence in a Serious Game to Enhance the Participation in Smart City Urban Planning
This article presents a city simulator game named Metropolis. It is an emerging serious game that generates emergent properties. Metropolis can be used as a smart city for city planning, based on collective decisions. It also analyzes how its emergent properties might be used for managing a smart ci...
year: 2021 - type: Scopus - journal: Journal of the Knowledge Economy  - DOI: 10.1007/s13132-020-00679-5  - Google Schoolar: search

DenseNet for Breast Tumor Classification in Mammographic Images
Breast cancer screening is an efficient method to detect breast lesions early. The common screening techniques are tomosynthesis and mammography images. However, the traditional manual diagnosis requires an intense workload for pathologists, and hence is prone to diagnostic errors. Thus, the aim of ...
year: 2021 - type: Scopus - journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  - DOI: 10.1007/978-3-030-88163-4_16  - Google Schoolar: search

Partitional clustering based on PCA method for segmentation of products
This paper focuses on grouping e-commerce data for product segmentation with dimension reduction using Principal Component Analysis (PCA) on the data to transform the original data to the top principal components' feature space. K-means based on principal components is used for forming the clusters....
year: 2021 - type: Scopus - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI52073.2021.9476226  - Google Schoolar: search

Data Mining to Predict COVID-19 Patients’ Recovery on a Balanced Dataset
The coronavirus disease (COVID-19), has caused a considerable increase in hospitalizations of people with different symptoms caused by this disease. Currently, the world needs a quick solution to tackle the further spread of COVID-19. Data mining techniques, machine learning and other artificial in...
year: 2021 - type: Scopus - journal: Communications in Computer and Information Science (CCIS)  - DOI: 10.1007/978-3-030-71503-8_26  - Google Schoolar: search

Preprocessing fast filters and mass segmentation for mammography images
Digital mammography is a valuable technique for breast cancer detection, because it is safe, noninvasive and can reduce unnecessary biopsies. However, it is difficult to distinguish masses from normal or dense regions because of their morphological characteristics and ambiguous margins. Thus, improv...
year: 2021 - type: Scopus - journal: SPIE  - DOI: https://doi.org/10.1117/12.2593939  - Google Schoolar: search

DISTATIS: A Promising Framework to Integrate Distance Matrices in Molecular Phylogenetics.
Background: Molecular phylogenetic algorithms frequently disagree with the approaches considering reproductive compatibility and morphological criteria for species delimitation. The question stems if the resulting species boundaries from molecular, reproductive and/or morphological data are definiti...
year: 2021 - type: Scopus - journal: Current Topics in Medicinal Chemistry  - DOI: 10.2174/1568026621666210113164605  - Google Schoolar: search

Data Mining in Electrical Distribution Networks: Optimal Location of Pilot Bus
Pilot bus selection is a key parameter to the proper function of secondary voltage control strategies; this paper proposes a methodology for pilot bus selection using data mining algorithms K-means and DBSCAN. The data was generated by varying distribution network parameters and simulating the volta...
year: 2021 - type: Scopus - journal: ETCM 2021 - 5th Ecuador Technical Chapters Meeting  - DOI: 10.1109/ETCM53643.2021.9590646  - Google Schoolar: search

Plagiarism and use of technology by high school students
The use of the different tools and resources available on the web has the potential to affect the level of plagiarism at all educational levels. This article approaches the relationship between the use of Internet resources and the levels of plagiarism among high school students in Ecuador. Quantita...
year: 2021 - type: Scopus - journal: Campus VirtualeS  - Google Schoolar: search

Object Detection in Rural Roads Through SSD and YOLO Framework
Object detection is challenging in the computer vision area and is crucial in autonomous driving systems. The largest number of traditional techniques or the use of deep learning are evaluated in the urban area, but in rural areas, there is little research carried out. The goal of thiswork is obj...
year: 2021 - type: Scopus - journal: Advances in Intelligent Systems and Computing  - DOI: https://doi.org/10.1007/978-3-030-72657-7_17  - Google Schoolar: search

Topic Identification from Spanish Unstructured Health Texts
Topic Models allow to extract topics from documents and classify them. In this work, Latent Dirichlet Allocation model was applied to extract topics from documents with medical information. 220 digital documents written in Spanish were used, these documents have information about different health co...
year: 2021 - type: Scopus - journal: Applied Technologies  - DOI: 10.1007/978-3-030-71503-8_27  - Google Schoolar: search

MTS image analyzer: a software tool to identify mesial temporal sclerosis in MRI images
Epilepsy is a chronic neurological disorder that causes unprovoked and recurrent seizures which according to WHO affects approximately 50 million people worldwide. Functional magnetic resonance images (MRI) help to identify certain affected areas of the brain, namely, the gliosis and hippocampal vol...
year: 2021 - type: Scopus - journal: Proceedings of SPIE - The International Society for Optical Engineering  - DOI: https://doi.org/10.1117/12.2594199  - Google Schoolar: search

Artificial Intelligence in Neuroeducation: The Influence of Emotions in the Learning Science
Teaching is considered an emotional practice, in which emotions play a vital role in the cognitive and efficient learning processes. In this sense, the principal aim of this work is to present an artificial and psychological vision to analyze the facial expressions in higher education students. The ...
year: 2021 - type: Scopus - journal: Advances in Intelligent Systems and Computing  - DOI: 10.1007/978-3-030-60467-7_6  - Google Schoolar: search

A comprehensive survey of knowledge graph-based recommender systems: Technologies, development, and contributions
In recent years, the use of recommender systems has become popular on the web. To improve recommendation performance, usage, and scalability, the research has evolved by producing several generations of recommender systems. There is much literature about it, although most proposals focus on traditio...
year: 2021 - type: Scopus - journal: information  - DOI: 10.3390/info12060232  - Google Schoolar: search

Deep Learning Framework for Vehicle and Pedestrian Detection in Rural Roads on an Embedded GPU
Object detection, one of the most fundamental and challenging problems in computer vision. Nowadays some dedicated embedded systems have emerged as a powerful strategy for deliver high processing capabilities including the NVIDIA Jetson family. The aim of the present work is the recognition of objec...
year: 2020 - type: Scopus - journal: Electronics  - DOI: https://doi.org/10.3390/electronics9040589  - Google Schoolar: search

Design and implementation of a communication architecture between technological devices based on agent communities for a smartclasroom [Diseño e implementación de una arquitectura de comunicación entre dispositivos tecnológicos basados en comunidades de agentes para un salón inteligente]
Este trabajo describe la implementación de una arquitectura multiagente basado en comunidades de agentes para la comunicación entre dispositivos que existen en el aula de clases. Tomando en cuenta que en la actualidad las aulas disponen de un sinnúmero de dispositivos ejecutándose, pero sin ...
year: 2020 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao  - DOI: doi  - Google Schoolar: search

Use of chatbots for user service in higher education institutions [Uso de chatbots para atención al usuario en instituciones de educación superior]
This paper arises from the need to have new tools or communication channels that allow users to answer questions or concerns about different fields at the university level. In particular, the results of the analysis of the use of three chatbots, implemented in a higher education institution, are pre...
year: 2020 - type: Scopus - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI49556.2020.9141108  - Google Schoolar: search

Object detection in rural roads using Tensorflow API
Object detection is a challenge in the computer vision area. Traditional techniques work reasonably well for this problem in urban areas where the roads and the boundaries are clearly marked. However, in the rural areas in the developed countries, the assumption does not hold which leads to the fail...
year: 2020 - type: Scopus - journal: Proceedings - 2020 International Conference of Digital Transformation and Innovation Technology, INCODTRIN 2020  - DOI: DOI: 10.1109/Incodtrin51881.2020.00028  - Google Schoolar: search

Machine learning applied to the analysis of alcohol consumption and its relationship with perceived stress [Aprendizaje automático aplicado al análisis del consumo de alcohol y su relación con el estrés percibido]
El consumo de alcohol es uno de los problemas que afectan a la población universitaria, en particular en su proceso de aprendizaje y su salud mental. Estudios previos realizados por la OMS y varios científicos a nivel global relacionan el consumo de alcohol con el estrés percibido. Las técnicas ...
year: 2020 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao  - DOI: doi  - Google Schoolar: search

Application of data mining techniques for the prediction of tobacco and alcohol use in university students [Aplicación de técnicas de minería de datos para la predicción del consumo de tabaco y alcohol en estudiantes universitarios]
La adicción al tabaco es un problema de salud social, alcanzando un 30% de la población adulta a nivel mundial. Para los organismos de salud, es indispensable disponer de herramientas que les permitan aplicar políticas de atención y prevención. Se propone un estudio piloto para descubrir patron...
year: 2020 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao  - DOI: doi  - Google Schoolar: search

A network-based analysis of medical information extracted from electronic medical records
Clinical notes constitute a rich source of medical information that could be useful in identifying graphs of patients with similar characteristics. Network-based approaches permit to visualize associations between medical entities and to infer medical knowledge. This paper aims to apply such an appr...
year: 2020 - type: Scopus - journal: IEEE Xplore  - DOI: 10.1109/CLEI52000.2020.00007  - Google Schoolar: search

Assessment of mesial temporal sclerosis through MRI processing
Mesial temporal sclerosis (MTS) is the principal cause of complex epilepsy, is manifested principally by gliosis and hippocampal volume loss. This project aims to develop an algorithm that allows automatic measurement of hippocampal volume and signal intensity in magnetic resonance imaging. The algo...
year: 2020 - type: Scopus - journal: Proceedings of SPIE - The International Society for Optical Engineering  - DOI: 10.1117/12.2569043  - Google Schoolar: search

Collaborative filtering optimization based on matrix factorization through the relevance of user preferences
© 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved. Collaborative filtering based on matrix factorization has become the reference method for the recommendation of products or services due to the high precision of recommendations it generates. These methods fact...
year: 2020 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao  - DOI: doi  - Google Schoolar: search

Recognition of the Driving Style in Vehicle Drivers
This paper presents three different approaches to recognize driving style based on a hierarchical-model. Specifically, it proposes a hierarchical model for the recognition of the driving style for advanced driver-assistance systems (ADAS) for vehicles. This hierarchical model for the recognition of ...
year: 2020 - type: Scopus - journal: Sensors (Switzerland)  - DOI: 10.3390/s20092597  - Google Schoolar: search

Medical terminologies for the automatic grouping of diseases and treatments codified by computer system
© 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved. Computer systems in the area of health store patient information. These systems use terminologies that allow the normalization and codification of medical information. Unified Medical Language System is a termi...
year: 2020 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao  - DOI: doi  - Google Schoolar: search

Cluster analysis to identify groups of diabetic patients based on symptoms [Análisis de conglomerados para identificar grupos de pacientes diabéticos en base a síntomas]
© 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved. Currently, health professionals use computer systems to save patient information. This information can have two formats: structured, for example, medical codes to identify diagnoses; unstructured, for example, ...
year: 2020 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao  - DOI: doi  - Google Schoolar: search

Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information
© 2020, Springer Nature Switzerland AG. The consumption of alcohol, tobacco and other drugs are a health and social problems worldwide. According to several studies, abstemious people are a minority population among university students. The objective of this research is to identify clusters of abst...
year: 2020 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-030-42520-3_15  - Google Schoolar: search

Advanced Driver Assistance System for the drowsiness detection using facial landmarks
© 2020 AISTI. This paper presents the development of a solution to detect a driver's drowsiness in real time and issue alerts to avoid possible traffic accidents. In particular, an analysis of the methods used for the detection of drowsiness by computer vision is performed, focusing on the use of f...
year: 2020 - type: Scopus - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI49556.2020.9140893  - Google Schoolar: search

Analysis of the contradictions in the professional competences in digital texts using dialectical logic [Análisis de las contradicciones en las competencias profesionales en los textos digitales usando lógica dialéctica]
© 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved. This work proposes the analysis of the contradiction or ambivalence found in the professional profiles published in digital media (for example, web pages or social networks), by means of a model of axioms based...
year: 2020 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao  - DOI: doi  - Google Schoolar: search

Face recognition systems in math classroom through computer vision traditional techniques
The methods and techniques of detection of the human face and facial recognition have presented a great impulse in recent years, thanks to the advance in areas such as artificial vision and machine learning. Although deep neural network techniques are in vogue, traditional techniques allow you to cr...
year: 2020 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-030-42520-3_51  - Google Schoolar: search

Internet and plagiarism in high school students [Internet y plagio en estudiantes de bachillerato]
© 2020 AISTI. Plagiarism has been corroborated in the educational field as an intentional or not, of committing fraud in the accreditation of a certain knowledge or competence, which has been increased with the use of the Internet. A quantitative study is presented, which applies the questionnaire ...
year: 2020 - type: Scopus - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI49556.2020.9141103  - Google Schoolar: search

Hashtags Recommendations in Twitter based on Collaborative Filtering
Social networks generate each day a vast amount of heterogeneous information, which can be used for recommendation systems, in order to provide personalized service. Currently, these systems are being developed to help Twitter users find items that is of interest to them, as a way to solve the infor...
year: 2020 - type: Scopus - journal: IEEE Explore  - DOI: 10.1109/Incodtrin51881.2020.00019  - Google Schoolar: search

Comparative Performance of Collaborative Filtering Recommendations Methods for Explaining Recommendations
In this paper a comparative performance of some collaborative filtering methods for recommender systems is presented. The literature review focuses on identifying some models for explaining of recommendations. Methods discussed here are those based on probabilistic models and based on biclustering t...
year: 2020 - type: Scopus - journal: IEEE Explore  - DOI: 10.1109/Incodtrin51881.2020.00036  - Google Schoolar: search

SMCS: Automatic real-time classification of ambient sounds, based on a Deep Neural Network and Mel Frequency Cepstral Coefficients
This paper presents a model to classify ambient sounds in an automatic and real-time way using the sound dataset provided in the Kaggle free sounds competition. For this, two data preprocessing techniques are performed, the first, length normalization that unifies the audio inputs to a single time i...
year: 2020 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-030-42520-3_20  - Google Schoolar: search

Indoor positioning system using Beacon technology [Sistema de posicionamiento en interiores contecnología Beacon]
© 2020 AISTI. The orientation in indoor spaces and the knowledge of the areas within an establishment such as companies, shopping mall, museums, universities, libraries, among others, is important to guide people through the architecture and areas that the establishment has, thus providing a better...
year: 2020 - type: Scopus - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI49556.2020.9141009  - Google Schoolar: search

Using domain ontologies for text classification. A use case to classify computer science papers
he web facilitates the creation, publication, and exchange of a wide variety of information. Particularly, the dramatic growth of unstructured web content makes text classification in a basic task to automate. Although well-known classification methods come from natural language processing and the m...
year: 2020 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-030-65384-2_13  - Google Schoolar: search

Cluster analysis base on psychosocial information for alcohol, tobacco and other drugs consumers
The consumption of alcohol, tobacco and other drugs is considered a public health problem, being one of the main causes of academic failure of uni-versity students. The objective of this research was to identify psychosocial char-acteristics in clusters of alcohol, tobacco and other drug consumers. ...
year: 2020 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-030-42520-3_22  - Google Schoolar: search

Assignment of Groups for the Execution of a Collaborative Work Using Emerging Algorithms
In educational institutions collaborative work is used as a strategy to enhance ac-tive learning. One of the organizational tasks that is in charge of the teacher is the assignment of groups. Hence the purpose of this article, which is to show how emerging algorithms with their self-organization cha...
year: 2020 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-030-42531-9_30  - Google Schoolar: search

Design of a mobile application for access to the remote laboratory
Information and Communications Technology (ICT) have play an important role in education which has given way to new lines of work and research such as Mobile Learning (M-Learning). Nowadays, more and more applications are designed and developed for the M- Learning. Experimentation with remote labora...
year: 2020 - type: Scopus - journal: Communications in Computer and Information Science (CCIS)  - DOI: 10.1007/978-3-030-42531-9_31  - Google Schoolar: search

¿Cómo sabe Internet lo que nos gusta?
Modelo de filtrado colaborativo híbrido con datos de registros online, las cuales permiten promover recomendaciones de contenidos a usuarios con gustos similares....
year: 2020 - type: Artículos Publicados de Divulgación Local - journal: Perspectivas  - Google Schoolar: search

SMCS: Mobile model oriented to Cloud for the automatic classification of environmental sounds
This paper presents SMCS, a cloud-oriented mobile system model that uses a Convolutional Neural Network for the automatic classification of environmental sounds in real time. The model comprises an architectural schema with its corresponding deployment scheme in Google cloud services provider. Final...
year: 2020 - type: Scopus - journal: Advances in Intelligent Systems and Computing  - DOI: https://doi.org/10.1007/978-3-030-32022-5_43  - Google Schoolar: search

Immersive and Collaborative learning: an educational resource for mathematical training in medicine
Advances in molecular biology and medicine are generating new technologies and opportunities, where mathematics is a science that has a fundamental role, especially to enhance and contribute to human health through research. This science helps to develop different future scenarios; such as an epidem...
year: 2020 - type: Scopus - journal: Proceedings of the 15th Latin American Conference on Learning Technologies, LACLO 2020  - DOI: 10.1109/LACLO50806.2020.9381152  - Google Schoolar: search

Application of techniques based on Artificial Intelligence for predicting the consumption of drugs and substances. A Systematic Mapping Review
The consumption of alcohol, drugs and substances constitutes one of the most serious public health problems worldwide, in particular due to the social consequences related to violence, abandonment of studies, family disintegration and the great problem of drug trafficking that is strengthened at the...
year: 2020 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-030-42520-3_4  - Google Schoolar: search

Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review
This paper provides a critical review of the literature on deep learning applications in breast tumor diagnosis using ultrasound and mammography images. It also summarizes recent advances in computer-aided diagnosis/detection (CAD) systems, which make use of new deep learning methods to automaticall...
year: 2020 - type: Scopus - journal: Applied Sciences  - DOI: 10.3390/app10228298  - Google Schoolar: search

Ecuadorian scholarly production in computer science. Analysis of publication patterns by gender
Men and women compose the human capital and workforce needed for the economic and social development of a country. Despite this, in science, there is a gender participation gap, unfavorable for women. This statement is supported by a large body of literature that describes gender differences in scho...
year: 2020 - type: Scopus - journal: CEUR Workshop Proceedings  - DOI: doi  - Google Schoolar: search

Cluster Analysis of Obesity Disease Based on Comorbidities Extracted from Clinical Notes
Clinical notes provide a comprehensive and overall impression of the patient’s health. However, the automatic extraction of information within these notes is challenging due to their narrative style. In this context, our goal was to identify clusters of patients based on fourteen comorbidities rel...
year: 2019 - type: Scopus - journal: Journal of Medical Systems  - DOI: 10.1007/s10916-019-1172-1  - Google Schoolar: search

A scheme for updating the competency ontologies based on natural language processing and semantic mining [Esquema para la actualización de ontologías de competencias en base al procesamiento del lenguaje natural y la minería semántica]
This work presents a scheme for updating the professional and academic competences from profiles obtained from the Web, based on ontologies. First are recognized the terms through linguistic patterns. Then, the terms are aligned with thesauri, through measures of relevance and lexical and semantic s...
year: 2019 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao  - DOI: doi  - Google Schoolar: search

Analysis of Medical Documents with Text Mining and Association Rule Mining
Text mining techniques extracts meaningful information from large amounts of semi-structured and unstructured texts. In this work, the MetaMap tool was used to extract medical entities like diseases and syndromes from discharge summaries. Also, association rule mining algorithms such as Apriori and ...
year: 2019 - type: Scopus - journal: Advances in Intelligent Systems and Computing  - DOI: 10.1007/978-3-030-11890-7_70  - Google Schoolar: search

Intelligent approaches to identify student learning styles through emotions in a classroom [Enfoques inteligentes para identificar estilos de aprendizaje de los estudiantes mediante las emociones en un salón de clases]
In this article, a hierarchical pattern is proposed to identify the learning style of students in a classroom, which is composed of two levels, one to recognize the emotional state, and another to identify the learning style. Each level is defined by different types of descriptors, which are perceiv...
year: 2019 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao  - DOI: doi  - Google Schoolar: search

Monitoring for the evaluation process on-line Prototype based on OpenFace algorithm
This project was designed to present a prototype of facial authentication system that allows for the recognition of students who are using an online platform to take final evaluations in our Distance Learning Program, with the purpose of detecting fraud and identity theft. It uses the OpenFace algor...
year: 2019 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-030-05532-5_37  - Google Schoolar: search

Identifying Demyelinating and Ischemia brain diseases through magnetic resonance images processing
Brain Magnetic Resonance Images are a very useful tool for the diagnosis of brain diseases and analyse brain changes. The appropriate processing (neuroimaging) can help to identify, measure and classify different lesions or abnormalities. The principal aim of this project is to develop an algorithm ...
year: 2019 - type: Scopus - journal: 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019  - DOI: 10.1109/NSS/MIC42101.2019.9060022  - Google Schoolar: search

Aprendizaje de la matemática basado en el contexto de las ciencias
The principal aim of this work is to promote and develop the mathematical thinking and learning of equations and functions through the contextualization with related sciences and subjects. The methodology used was the contextual and constructivist learning theory: Relation, Experimentation, Appli...
year: 2019 - type: Latindex Directorio - journal: CALIDAD EN LA EDUCACIÓN SUPERIOR  - DOI: http://dx.doi.org/10.22458/caes.v10i2.2603  - Google Schoolar: search

Framework comparison of neural networks for automated counting of vehicles and pedestrians
This paper presents a comparison of three neural network frameworks used to make volumetric counts in an automated and continuous way. In addition to cars, the application count pedestrians. Frameworks used are: SSD Mobilenet retrained, SSD Mobilenet pre-trained, and GoogLeNet pre-trained. The evalu...
year: 2019 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-030-36211-9_2  - Google Schoolar: search

Processing MRI Brain Image using OpenMP and Fast Filters for Noise Reduction
In the daily medical practice, the diagnosis of the most pathologists requires the analysis of the image studies, for that reason is important to get the best quality of these images without noise and highlight the details of tissues. The principal aim of this work is to apply different algorithms a...
year: 2019 - type: Scopus - journal: Lecture Notes in Engineering and Computer Science  - DOI: doi  - Google Schoolar: search

Conceptual design of a smart classroom based on multiagent systems
© 2019 ICAI 2015 - WORLDCOMP 2015. All rights reserved. The smart environments have been used in different domains: home, educational and health centers, etc. Particularly, a smart environment in education must integrate different aspects linked to virtual and presencial education, the profile of t...
year: 2019 - type: Scopus - journal: Proceedings of the 2015 International Conference on Artificial Intelligence, ICAI 2015 - WORLDCOMP 2015  - DOI: doi  - Google Schoolar: search

A hybrid approach of recommendation via extended matrix based on collaborative filtering with demographics information
In view of the growth in the use of methods based on matrix factorization, this research proposes an hybrid approach of recommendation based on collaborative filtering techniques, which exploits demographic information of the user and item within the factorization process, considering an extended ra...
year: 2019 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-030-05532-5_28  - Google Schoolar: search

Determination of Professional Competencies Using an Alignment Algorithm of Academic Profiles and Job Advertisements, Based on Competence Thesauri and Similarity Measures
Describing the competencies required by a profession is essential for aligning online profiles of job seekers and job advertisements. Comparing the competencies described within each context has typically not be done, which has generated a complete disconnect in language between them. This work p...
year: 2019 - type: Scopus - journal: International Journal of Artificial Intelligence in Education  - DOI: 10.1007/s40593-019-00185-z  - Google Schoolar: search

A Collaborative Filtering Approach Based on Naïve Bayes Classifier
© 2013 IEEE. Recommender system is an information filtering tool used to alleviate information overload for users on the web. Collaborative filtering recommends items to users based on their historical rating information. There are two approaches: memory-based, which usually provides inaccurate but...
year: 2019 - type: Scopus - journal: IEEE Access  - DOI: 10.1109/ACCESS.2019.2933048  - Google Schoolar: search

¿Es un cliente confiable?... Minería de datos tradicional y Fintech para el cálculo de la rentabilidad
Este trabajo presenta una propuesta para la detección de clientes corporativos fiables en función de sus perfiles de usuario en entidades crediticias, según un modelo de clasificación automática basado en redes neuronales, el cual logra una alta precisión en relación con algoritmos de aprendi...
year: 2019 - type: Latindex Catálogo - journal: 593 Digital Publisher CEIT  - DOI: 10.33386/593dp.2019.5-1.156   - Google Schoolar: search

Approaches to identify student learning styles through emotions in a classroom [Sistema de gestión de las emociones en un salón de clases inteligente basado en modelos de confianza y reputación]
En este artículo, se propone un modelo de confianza y otro de reputación, para la gestión de las emociones en un Salón de Clases Inteligente (SaCI). En general, un SaCI puede modelar como agentes a sus diferentes componentes de hardware y de software. Por otro lado, en los ambientes inteligente...
year: 2019 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao  - DOI: doi  - Google Schoolar: search

Metropolis: An emerging serious game for the smart city [Metropolis: Un juego serio emergente en una ciudad inteligente]
Emerging serious games mark the beginning of a new era in video games. Emerging serious games introduce advances in distributed artificial intelligence into their design in order to guide the player’s manipulation of a specific subject in an adaptive way. In this article, we present a city simulat...
year: 2019 - type: Scopus - journal: DYNA (Colombia)  - DOI: 10.15446/DYNA.V86N211.80864  - Google Schoolar: search

Análisis de sentimientos en twitter – caso de estudio: política
El presente trabajo pretende realizar un análisis de sentimientos sobre temas coyunturales de la política en Ecuador. Para esto se ha tomado como data de investigación, muestras de dataset públicos de la red social Twitter, 290 tweets de la cuenta @lenin y 307 tweets de la cuenta @mashirafael, c...
year: 2018 - type: Artículos Publicados de Divulgación Nacional - journal: Marketing y Tecnología: Perspectivas Actuales  - Google Schoolar: search

Development of technological device: From the IT approach as a contribution to the auditory sensory disabilities [Desarrollo de Dispositivo Tecnológico: Desde el enfoque TI como aporte a las Discapacidades Sensoriales Auditivas]
Considering that accessibility is a commitment of all and that it needs to be taken care of; Today's society and technological advances efficiently contribute to adaptability, communication and mobility especially to people with special abilities (visual and auditory). This article will discuss the ...
year: 2018 - type: Scopus - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI.2018.8399300  - Google Schoolar: search

Uses of internet and levels of plagiarism [Usos de Internet y niveles de plagio]
© 2018 AISTI. In this work, the level of incidence of the use of technologies on the level of plagiarism of university students is determined. A sample of 10,952 students from 31 universities in Ecuador was created. Students were classified based on experience, level of interaction and the use they...
year: 2018 - type: Scopus - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI.2018.8399147  - Google Schoolar: search

Effect of different visible light on rhizobacterial growth
The effect of laser irradiation is one of the most important factors that affect the bacteria survival due to the wavelengths that emit the different light sources. The high-intensity broadband visible light (400–800nm) can reduce viability of bacterial strains. The main objective is to assess the...
year: 2018 - type: Scopus - journal: Proceedings of SPIE - The International Society for Optical Engineering  - DOI: 10.1117/12.2321353  - Google Schoolar: search

Comparison of MetaMap and cTAKES for entity extraction in clinical notes
© 2018 The Author(s). Background: Clinical notes such as discharge summaries have a semi- or unstructured format. These documents contain information about diseases, treatments, drugs, etc. Extracting meaningful information from them becomes challenging due to their narrative format. In this contex...
year: 2018 - type: Scopus - journal: BMC Medical Informatics and Decision Making  - DOI: 10.1186/s12911-018-0654-2  - Google Schoolar: search

Automatic extraction and aggregation of diseases from clinical notes
© Springer International Publishing AG 2018. Clinical notes provide medical information about the patient’s health. The automatic extraction of this information is relevant in order to analyze patterns for grouping patients with similar characteristics. In this paper, we used MetaMap to extract d...
year: 2018 - type: Scopus - journal: Advances in Intelligent Systems and Computing  - DOI: 10.1007/978-3-319-73450-7_80  - Google Schoolar: search

Plagiarism, internet and academic success at the university
In this work, we determined, the level of incidence of the use of technologies on academic success and the incidence of interaction and experience on the level of plagiarism of university students. A sample of 10,952 students from 31 face-to-face universities in Ecuador was created. Students were cl...
year: 2018 - type: Scopus - journal: Journal of New Approaches in Educational Research  - DOI: 10.7821/naer.2018.7.324  - Google Schoolar: search

Magnetic resonance brain images algorithm to identify demyelinating and ischemic diseases
Brain demyelination lesions occur due to damage of the myelin layer of nerve fibers, this deterioration is the cause of pathologies such as multiple sclerosis, leukodystrophy, encephalomyelitis. Brain ischemia is the interruption of the blood supply to the brain, and the flow of oxygen and nutrients...
year: 2018 - type: Scopus - journal: Proceedings of SPIE - The International Society for Optical Engineering  - DOI: 10.1117/12.2322048  - Google Schoolar: search

Hybrid Collaborative Filtering based on Users Rating Behavior
Several Collaborative Filtering approaches have been developed in order to improve the quality of the recommendations. However, this improvement has always been measured as the average quality of the performed recommendations across all the users. It has not been analyzed for each individual user. I...
year: 2018 - type: Scopus - journal: IEEE Access  - DOI: 10.1109/ACCESS.2018.2881074  - Google Schoolar: search

A Recommender System Based on Cognitive Map for Smart Classrooms
In this paper, we propose a Fuzzy Cognitive Maps (FCMs) to recommender Learning Resources in a Smart Classroom. We have proposed a Smart Environment for a Classroom in previous works, based on Multi-agent Systems, called SaCI. One of its agents is a recommender system of Learning Resources. In this ...
year: 2018 - type: Scopus - journal: Advances in Intelligent Systems and Computing  - DOI: 10.1007/978-3-319-73450-7_41  - Google Schoolar: search

Emergent management of collaborative learning spaces [Gestión emergente de espacios colaborativos de aprendizaje]
Este modelo propone la auto-gestión de espacios de aprendizaje colaborativo, basados en el paradigma de sistemas emergente. Dada la dinámica presente en los espacios de aprendizaje mediados por las Tecnologías de Información y Comunicación (TICs), la aparición de procesos de aprendizaje colabo...
year: 2018 - type: Scopus - journal: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao  - DOI: doi  - Google Schoolar: search

Educational math game for stimulation of children with dyscalculia
Dyscalculia is a specific learning disorder, reflected in an arithmetic capacity below the expected on individuals of similar chronological age, IQ and schooling. In order to improve these abilities, several studies agree that didactic strategies with play activities help to improve the difficulties...
year: 2018 - type: Scopus - journal: Advances in Intelligent Systems and Computing  - DOI: 10.1007/978-3-319-73450-7_58  - Google Schoolar: search

Method for emotion corpus validation from the consensual identification of patterns in Alzheimer’s patients
The present research proposes a method for the construction of a corpus for the early detection of Alzheimer's, by identifying basic patterns of emotions on video, from the collection of patient information in the form of videos, analysis and identification of emotions based on facial expressions an...
year: 2018 - type: Scopus - journal: Advances in Intelligent Systems and Computing  - DOI: 10.1007/978-3-319-73450-7_15  - Google Schoolar: search

Obesity cohorts based on comorbidities extracted from clinical notes
© Springer International Publishing AG, part of Springer Nature 2018. Clinical notes provide a comprehensive and overall impression of the patient’s health. However, the automatic extraction of information within these notes is challenging due to their narrative style. In this context, our goal w...
year: 2018 - type: Scopus - journal: Advances in Intelligent Systems and Computing  - DOI: 10.1007/978-3-319-77712-2_107  - Google Schoolar: search

Multidisciplinary HACKATHON: strengthening project-based learning [HACKATHON multidisciplinario: fortalecimiento del aprendizaje basado en proyectos]
The multidisciplinary Hackathon academic activity was applied to some groups of mathematics in Universidad Técnica Particular de Loja students during the period time of in October 2016 - March 2017. The students registered worked in multidisciplinary groups to try to response: What problem or so...
year: 2018 - type: ISI - journal: REVISTA ELECTRÓNICA CALIDAD EN LA EDUCACIÓN SUPERIOR  - DOI: 10.22458/caes.v9i1.1893  - Google Schoolar: search

Specification of the Autonomic Cycles of Learning Analytic Tasks for a Smart Classroom
In this article, we propose the concept of ‘‘Autonomic Cycle Of Learning Analysis Tasks’’ (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data ...
year: 2018 - type: ISI - journal: Journal of Educational Computing Research  - DOI: 10.1177/0735633117727698  - Google Schoolar: search

Using wolfram software to improve reading comprehension in mathematics for software engineering students
The higher education through virtual environment is students centered oriented to the interactive learning, in situations to be closer to the real world; for that reason, teachers must have new communicative competence. students centered oriented to the interactive learning, in situations to be clos...
year: 2018 - type: Scopus - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI.2018.8399388  - Google Schoolar: search

Learning analytics tasks as services in smart classrooms
A smart classroom integrates the different components in a traditional classroom, by using different technologies as artificial intelligence, ubiquitous and cloud paradigms, among others, in order to improve the learning process. On the other hand, the learning analytical tasks are a set of tools th...
year: 2018 - type: Scopus - journal: Universal Access in the Information Society  - DOI: 10.1007/s10209-017-0525-0  - Google Schoolar: search

Simulation of people counter for public service buses of Loja with IoT concept applying the Viola-Jones algorithm [Simulación de contador de personas para buses de servicio público de Loja con concepto IoT aplicando el algoritmo de Viola-Jones]
© 2018 AISTI. Currently there is a boom in applications focused on the Internet of Things (IoT), especially in more developed countries. An example of this technological process is the intelligent classrooms, where software and hardware come together to establish wireless communications that allow ...
year: 2018 - type: Scopus - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI.2018.8399322  - Google Schoolar: search

Use of emerging aggregation techniques for the creation of learning communities [Uso de técnicas emergentes de agregación, para la creación de comunidades de aprendizaje.]
© 2018 AISTI. The phenomenon of aggregation plays an important role in the cooperation and task allocation in the social insects. Presently, the creation of learning communities on the web has an important role to enhance collaborative experience. In this content, are required to implement new tech...
year: 2018 - type: Scopus - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI.2018.8399380  - Google Schoolar: search

MOOCs as a learning system at the University of Huelva (UHU)
Given the changes in education caused by technological advances and applications in this one, this study analyzes the views of students at University of Huelva (Spain) on the MOOCs as learning system and its application as introductory courses in subjects with the basic principles that underpin ther...
year: 2017 - type: ISI - journal: IJERI-INTERNATIONAL JOURNAL OF EDUCATIONAL RESEARCH AND INNOVATION  - Google Schoolar: search

Development of software prototypes through model game jam and basic vision artificial techniques [Desarrollo de prototipos software mediante el modelo Game Jam y técnicas básicas de visión artificial]
La visión artificial es una parte de la inteligencia artificial que pretende simular la visión humana, es decir, desde la adquisición, procesamiento, análisis e interpretación de imágenes a través de un sistema inteligente. Este trabajo presenta la creación de prototipos bajo el modelo “ga...
year: 2017 - type: Scopus - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI.2017.7975676  - Google Schoolar: search

Learning Analytic in a Smart Classroom to improve the eEducation
In this paper, we propose learning analytic tasks to understand the learning process in a smart classroom. Learning analytics can extract knowledge from a course to better understand students and their learning processes. The learning analytic tasks must evaluate different aspects in the course: the...
year: 2017 - type: Scopus - journal: 2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017  - DOI: 10.1109/ICEDEG.2017.7962510  - Google Schoolar: search

Detection of moving objects through color thresholding [Detección de objetos en movimiento a través de la umbralización del color]
In the area of image processing and the use of segmentation algorithm techniques based on thresholding, image intensity (grayscale) is usually obtained in order to differentiate regions of objects and background. The segmentation based on the threshold works well when the image has a high intensity ...
year: 2017 - type: Scopus - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI.2017.7975755  - Google Schoolar: search

Usable control system for interaction with ubiquitous television
© Springer International Publishing AG 2017. Abstract. This paper, proposes a new interaction model for virtual remote controls, using a second screen through smart phones and tablets. The model follows an intuitive, user-centered design that allows transparent communication between the user and th...
year: 2017 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-319-63321-3_11  - Google Schoolar: search

Detection of the characters from the license plates by cascade classifiers method
this article describes the detection of the characters of the license plate through of computer vision techniques such as cascade of classifiers based in Sobel algorithm, analysis of peaks, and valleys and learning vector machines; the search for the region of the plate begins by detecting vehicles,...
year: 2017 - type: ISI - journal: FTC 2016 - Proceedings of Future Technologies Conference  - DOI: 10.1109/FTC.2016.7821662  - Google Schoolar: search

The Model of Adaptive Learning Objects for virtual environments instanced by the competencies
This article presents the instantiation of the Model of Adaptation of Learning Objects (MALO) developed in previous works, using the competencies to be developed in a given educational context. MALO has been developed for virtual environments based on an extension of the LOM standard. The model s...
year: 2017 - type: Scopus - journal: Advances in Science, Technology and Engineering Systems  - DOI: 10.25046/aj020344  - Google Schoolar: search

EMG signal patterns recognition based on Feedforward Artificial Neural Network applied to robotic prosthesis myoelectric control
This The present work is part of the "Hand of Hope" project, which seeks to develop low-cost robotic prostheses with the aim of contributing to the social and labor inclusion of people with motor disabilities of their upper extremities. The specific objective to address in this work is the design a...
year: 2017 - type: ISI - journal: FTC 2016 - Proceedings of Future Technologies Conference  - DOI: 10.1109/FTC.2016.7821705  - Google Schoolar: search

Votación interactiva del alumnado
Exponer los resultados de las buenas prácticas de innovación docente al mejorar el proceso de enseñanza utilizando las Tecnologías de la Información y la Comunicación (TIC). ActiVote es como se denomina el dispositivo empleado para la votación interactiva en procesos de evaluación. Por medio...
year: 2017 - type: Artículos Publicados de Divulgación Local - journal: Perspectivas de investigación  - Google Schoolar: search

Deep Learning como modelo predictivo para clasificar d´ıgitos manuscritos
En este trabajo se presentan los resultados de aplicar modelos de predicción Deep Learning para identificar el dígito de una imagen que contiene un número escrito a mano de la base de datos MNIST, este conjunto de dataset se obtiene de la competencia de Kaggle: Digit Recognizer. Como primer paso ...
year: 2017 - type: Latindex Catálogo - journal: Latin American Journal of Computing  - Google Schoolar: search

A general framework for intelligent recommender systems
In this paper, we propose a general framework for an intelligent recommender system that extends the concept of a knowledge-based recommender system. The intelligent recommender system exploits knowledge, learns, discovers new information, infers preferences and criticisms, among other things. For t...
year: 2017 - type: Scopus - journal: Applied Computing and Informatics  - DOI: 10.1016/j.aci.2016.08.002  - Google Schoolar: search

Use of game jam model in the develop of a educational board game
This paper presents research on identifying and implementation of 'game jam ' model in an organization dedicated to developing software that has different teams of engineers in various disciplines, such as software engineers, electronic and specialists in art and design Game jam has a promising appr...
year: 2017 - type: ISI - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.23919/CISTI.2017.7975922  - Google Schoolar: search

Enseñanza superior de las matemáticas y cálculo: Diseño y aplicación de un sistema de evaluación de aprendizajes basado en contextos.
La evaluación es un instrumento sumamente importante dentro del ámbito educativo. En este contexto el docente debería considerar el diseño de pruebas de carácter pedagógico y didáctico que le permitan evaluar el nivel de habilidad de un alumno luego de un proceso de instrucción, así como i...
year: 2017 - type: Artículos Publicados de Divulgación Internacional - journal: EDUNOVATIC 2017  - Google Schoolar: search

Educación de calidad mediante la estrategia Design Thinking
Las instituciones de educación superior actualmente invitan a la aplicación de nuevas estrategias de enseñanza/aprendizaje que permitan apoyar al estudiante en el planteamiento y desarrollo de proyectos de investigación, complementando de esta manera una adecuada educación de calidad. Se define...
year: 2017 - type: Artículos Publicados de Divulgación Internacional - journal: EDUNOVATIC 2017  - Google Schoolar: search

Different Intelligent Approaches for Modeling the Style of Car Driving
In this paper, we propose a hierarchical pattern of the style of driving, which is composed of three levels, one to recognize the emotional state, other to recognize the state of the driver, and finally, the last one corresponds to the style of driving. Each level is defined by different types of ...
year: 2017 - type: Scopus - journal: ICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics  - DOI: 10.5220/0006411902840291  - Google Schoolar: search

Towards a Fuzzy Cognitive Map for Opinion Mining
In this paper, we propose a Fuzzy Cognitive Map (FCM) to opinion mining, with special attention to media influence on public opinion. Particularly, in this paper, we describe the FCM, the concepts and relationships among them. Our opinion mining model is based on a multilevel FCM, to distribute the ...
year: 2017 - type: Scopus - journal: Procedia Computer Science  - DOI: 10.1016/j.procs.2017.05.287  - Google Schoolar: search

Opinion Mining using a Knowledge Extraction System from the Web
This paper designs and implements an opinion mining system based on the knowledge extraction from unstructured documents in HTML format. Basically, the system recovers information from Internet about a subject, and transforms it in a structured and organized knowledge, described semantically in an o...
year: 2017 - type: Artículos Publicados de Divulgación Internacional - journal: Contemporary Engineering Sciences  - DOI: 10.12988/ces.2017.7768   - Google Schoolar: search

Competences as services in the autonomic cycles of learning analytic tasks for a smart classroom
Learning Analytic is a useful tool in the context of the learning process, in order to improve the educational environment. In previous works, we have proposed autonomic cycles of learning Analytic tasks, in order to improve the learning process in smart classrooms. One aspect to be considered by th...
year: 2017 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-319-67283-0_16  - Google Schoolar: search

Colors vision effect: learning and teaching strategies based on reading nature images
The present work shows the teaching and motivation of University students to think about optics and color effects. The methodology consists of studying the different optical phenomena that occur through the sunsets and then do a correlation of this information with the phenomena and optical effects ...
year: 2017 - type: Scopus - journal: Proceedings of SPIE - The International Society for Optical Engineering  - DOI: 10.1117/12.2274620  - Google Schoolar: search

Demyelinating and ischemic brain diseases: Detection algorithm through regular magnetic resonance images
This work presents the advance to development of an algorithm for automatic detection of demyelinating lesions and cerebral ischemia through magnetic resonance images, which have contributed in paramount importance in the diagnosis of brain diseases. The sequences of images to be used are T1, T2, an...
year: 2017 - type: Scopus - journal: Proceedings of SPIE - The International Society for Optical Engineering  - DOI: 10.1117/12.2274579  - Google Schoolar: search

Intelligent tutoring Module for a 3Dgame-based science e-learning platform
The three-dimensional (3D) game-based intelligent science tutoring system (GIST) is an e- learning platform for science. The individual complexity of 3D games and conventional intelligent tutoring systems (ITS) results in extra complexities in system design and development of GIST. It is significan...
year: 2017 - type: Scopus - journal: Inteligencia Artificial  - DOI: 10.4114/intartif.vol20iss60pp1-19  - Google Schoolar: search

Improve the performance of students in the mathematics learning through Bayesian model
This paper shows the use of data mining techniques and math tools software as a supplementary educational resource in the understanding of mathematics. The performance process of mathematics in the first and third level of Computer Science and Electronics has used these data mining techniques and ma...
year: 2017 - type: Scopus - journal: 2017 7th International Workshop on Computer Science and Engineering, WCSE 2017  - DOI: doi  - Google Schoolar: search

Virtual Instrumentation System Architecture applied to Remote Tensile Testing Machine
The tensile test (ET) is a practice that is done mainly in laboratories of engineering as example electrical engi-neering, and civil engineering. In the academic environment it has researched, and developed a hardware-software systems applied to ET; systems for computer assisted instruction ET, and ...
year: 2016 - type: ISI - journal: 2016 EBMEI INTERNATIONAL CONFERENCE ON EDUCATION, INFORMATION AND MANAGEMENT (EBMEI-EIM 2016)  - Google Schoolar: search

Internet Use and Academic Success in University Students
The use of technology is changing the way things are done, including the work in universities where the teaching and learning process are changing, and it is required to know the effect of technology on student achievement. In this research work, we present the influence of Internet use on academi...
year: 2016 - type: ISI - journal: Comunicar  - DOI: 10.3916/C48-2016-06  - Google Schoolar: search

A comprehensive view of recommendation methods based on probabilistic techniques [Una Comprensiva Revisión de los Métodos de Recomendación basados en Técnicas Probabilísticas]
This research aims to use a hybrid recommendation method based on probabilistic techniques and topics modeling that provide recommendations most close fitting the user compared to other traditional recommendation models. We carry out a comprehensive review of the recommended methods for content-base...
year: 2016 - type: ISI - journal: Iberian Conference on Information Systems and Technologies, CISTI  - DOI: 10.1109/CISTI.2016.7521413  - Google Schoolar: search

Specification of a Smart Classroom based on Agent Communities
For the development of distributed applications, it is required to define a formalization of the process of implementation. Particularly, we are interested in one type of Ambient Intelligence (AmI), the Smart Classroom. In this paper we propose the implementation of a Smart Classroom, called SaCI, u...
year: 2016 - type: Scopus - journal: Advances in Intelligent Systems and Computing  - DOI: 10.1007/978-3-319-31232-3_95  - Google Schoolar: search

Cloud Computing in Smart Educational Environments: application in Learning Analytics as Service
n this paper, we present an extension of a Middleware for Smart Educational Environments based in agents, using the paradigm of Cloud Computing. In that sense, we detail the Middleware components, which enable the process of management of the Cloud Computing. We also present the utilization of t...
year: 2016 - type: Scopus - journal: Advances in Intelligent Systems and Computing  - DOI: 10.1007/978-3-319-31232-3_94  - Google Schoolar: search

A Fuzzy Cognitive Map like Recommender System of Learning Resources
In this paper we propose a Fuzzy Cognitive Maps (FCMs) to recommender Learning Resources in a Smart Classroom. We have proposed a Smart Environment for a Classroom in previous works, based on Multi-agent Systems, called SaCI. One of its agents is a recommender system of Learning Resources. In t...
year: 2016 - type: ISI - journal: 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016  - DOI: 10.1109/FUZZ-IEEE.2016.7737873  - Google Schoolar: search

A general framework for Learning Analytic in a Smart Classroom
n this paper we propose the utilization of the Learning Analytics paradigm in a Smart Classroom. Learning Analytics can extract knowledge from a Smart Classroom platform to better understand students and his/her learning processes. In this way, a Smart Classroom can understanding and optimizing the ...
year: 2016 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-319-48024-4_17  - Google Schoolar: search

A Dynamic Recognition Approach of Emotional States for Car Drivers
In this paper, we propose a recognition model of emotional state using multi-modal perception, a temporal logic paradigm (in specific, we use chronicles), and dynamical patterns. In this way, our recognition approach is based on chronicles to model the patterns, a definition of the emotions as dynam...
year: 2016 - type: Scopus - journal: Communications in Computer and Information Science  - DOI: 10.1007/978-3-319-48024-4_13  - Google Schoolar: search

Basic features of a Reflective Middleware for Intelligent Learning Environment in the Cloud (IECL)
In this paper is proposed an architecture of a Reflective Middleware, which aims to manage an Intelligent Environment of Learning based in cloud learning, which is modeled using a Multiagent system. The Middleware is able to monitor the environment consisting of physical and virtual objects, intelli...
year: 2015 - type: ISI - journal: Proceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015  - DOI: 10.1109/APCASE.2015.8  - Google Schoolar: search

Mobile learning: Perspectives [Aprendizaje móvil: Perspectivas]
From a technical perspective, the future of learning is defined by four axes around which technological and methodological efforts revolve. These axes are mobility, interaction, artificial intelligence and technologybased resources such as augmented reality and games applied to learning. Combining t...
year: 2015 - type: Scopus - journal: RUSC Universities and Knowledge Society Journal  - DOI: 10.7238/rusc.v12i1.1944  - Google Schoolar: search

A contribution to the method of automatic identification of human emotions by using semantic structures
The study of human emotions has been significantly important in recent years, mainly due to its incidence in human behavior. Additionally, having semantic tools that infer emotions from multisensory sources is a crucial aspect, especially because the feelings or actions of a person might be identifi...
year: 2015 - type: Scopus - journal: Proceedings of 2014 International Conference on Interactive Collaborative Learning, ICL 2014  - DOI: 10.1109/ICL.2014.7017748  - Google Schoolar: search

Integration of Virtual Labs into Science E-learning
Students can obtain lab content information equally well from two types of laboratories: a virtual and a physical lab. There is great potential in applying a 3D virtual lab based games to support teaching and learning in science. Moreover, it is significant to find practical ways to design and devel...
year: 2015 - type: ISI - journal: Procedia Computer Science  - DOI: 10.1016/j.procs.2015.12.224  - Google Schoolar: search

Comparing competences on academia and occupational contexts based on similarity measures
This paper is a first contribution of a schema to match professional and work competences through similarity measures. In this contribution we focus on the determination of connections between university profiles based in standards (body of knowledge and thesauri) similarity measures and Natural L...
year: 2015 - type: Scopus - journal: WEBIST 2015 - 11th International Conference on Web Information Systems and Technologies, Proceedings  - DOI: doi  - Google Schoolar: search

Identification of loitering human behaviour in video surveillance environments
Loitering is a common behaviour of the elderly people. We goal is develop an artificial intelligence system that automatically detects loitering behaviour in video surveillance environments. The first step to identify this behaviour was used a Generalized Sequential Patterns that detects sequential ...
year: 2015 - type: Scopus - journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  - DOI: 10.1007/978-3-319-18914-7_54  - Google Schoolar: search

A business intelligence model for online tutoring process
This work aims to implement business intelligence strategies in an educational institution based on the distance education, particularly in the online tutoring process. In this paper we propose to use the business intelligence paradigm to analyze the online tutoring process, based on the data collec...
year: 2015 - type: ISI - journal: Proceedings - Frontiers in Education Conference, FIE  - DOI: 10.1109/FIE.2015.7344385  - Google Schoolar: search

Semantic architecture for the analysis of the academic and occupational profiles based on competencies
This research shows a semantic architecture for the extraction, comparison and feedback of professional and educational competencies. The main product is a scheme that facilitates the detection of competencies based on the skills and knowledge. The scheme carries out tasks of natural language proces...
year: 2015 - type: Scopus - journal: Contemporary Engineering Sciences  - DOI: 10.12988/ces.2015.510282  - Google Schoolar: search

How the LDA Method Works for Collaborative Filtering
Recommender Systems serve as important tools for obtaining from a series of options a reduced number of items according to the preferences or interests of users. In this paper, we present a LDA method application for making recommendations based on collaborative filtering, that is, by considering...
year: 2015 - type: Artículos Publicados de Divulgación Internacional - journal:   - Google Schoolar: search

Social learning environments
This article presents a new training model that uses social networks integrated in a Moodle environment through a plug-in called Glesone. The plug-in is a piece of software built to provide the moodle platform with possibilities of facebook-style comments. This feature, more than solely appearance, ...
year: 2015 - type: Scopus - journal: Proceedings of 2015 International Conference on Interactive Collaborative Learning, ICL 2015  - DOI: 10.1109/ICL.2015.7317992  - Google Schoolar: search

Determinants of digital inequality in universities: The case of ecuador
The digital divide was initially defined by socioeconomic variables, mainly the level of family income, but now it focuses on how the Internet is used and is called digital inequality. In the case of universities, recent studies have pointed to the existence of patterns that are dependent on a varie...
year: 2015 - type: Scopus - journal: Journal of E-Learning and Knowledge Society  - Google Schoolar: search

Evaluación del uso de las bases de datos electrónicas en la docencia universitaria de la Universidad de Huelva
Dentro del triple perfil que debe tener un profesor universitario (docencia, gestión e investigación), éste debería tener un mayor control de las bases de datos electrónicas o por lo menos así debería ser, para acceder a documentación fiable para el uso de sus investigaciones y su docencia. ...
year: 2014 - type: Latindex Catálogo - journal: RED  - Google Schoolar: search

A Recommender Agent to Suport Virtual Learning Activities
This article describes the implementation of an intelligent agent that provides recommendations for educational resources in a virtual learning environment (VLE). It aims to support pending (undeveloped) student learning activities. It begins by analyzing the proposed VLE data model entities in the...
year: 2014 - type: Artículos Publicados de Divulgación Local - journal: International Journal of Computer, Information Science and Engineering Vol:8 No:3, 2014.  - Google Schoolar: search

MOOCs and personalized massification [Los MOOC y la masificación personalizada]
Higher education is experiencing a rapid transformation driven by technological development, we headed to a globalization of university in which massification in the Massive Open Courses (MOOC) has found alternatives for academic support through the peer mentoring and teacher's tutoring. One area...
year: 2014 - type: Scopus - journal: Profesorado  - DOI: doi  - Google Schoolar: search

First contribution to complex emotion recognition in patients with alzheimer’s disease
The analysis of emotions in patients with Alzheimer’s disease is a field that has been extensively studied in recent years with the purpose of tracking the progress of the disease. This study shows a first idea to contribute with a method to retrieve not only simple but complex emotions from patie...
year: 2014 - type: Scopus - journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  - DOI: doi  - Google Schoolar: search

Student Behavior Patterns in a Virtual Learning Environment
This work focuses on the identification of student behavior patterns obtained from their interactions on a virtual learning Environment (VLE). Clustering techniques were used to classify certain indicators and to obtain groups of students with similar characteristics. The activities performed are di...
year: 2013 - type: EBSCO - journal:   - Google Schoolar: search

Integración de redes sociales y entornos virtuales de aprendizaje
En este artículo se plantea un nuevo modelo de formación utilizando redes sociales inmersas en un ambiente Moodle. La aplicación del concepto de redes sociales da paso al aprendizaje informal dentro del ambiente formal que constituye un curso. El modelo planteado cuenta con dos modalidades, la pr...
year: 2013 - type: Latindex Catálogo - journal: RED  - Google Schoolar: search

Learning analytics como herramienta para predecir la deserción de estudiantes a distancia: el caso Ecuatoriano
Los datos que se generan como producto del trabajo de los estudiantes en un entorno virtual, una vez procesados y analizados tienen el potencial de convertirse en información valiosa para la toma de decisiones, establecimiento de estrategias y para anticiparse en el tiempo y prevenir la deserción...
year: 2012 - type: Artículos Publicados de Divulgación Local - journal: Campus virtuales. Revista Científica de Tecnología Educativa  - Google Schoolar: search

Digital divide in universities: Internet use in ecuadorian universities
New technologies have transformed higher education whose application has implied changes at all levels. These changes have been assimilated by the university community in various ways. Subtle differences among university students have emerged; these differences determine that the resources the netwo...
year: 2011 - type: ISI - journal: Comunicar  - DOI: 10.3916/C37-2011-02-08  - Google Schoolar: search

Wiki tool for adaptive, accesibility, usability and colaborative hypermedia courses: Mediawikicourse
Recently published social protection and dependence reports reaffirm that the elderly, the disabled, or those in situations of dependency objectively benefit from continuing to live at home with the assistance from direct family. Currently in Spain - amongst the elderly, or people in a situation of ...
year: 2011 - type: Scopus - journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  - Google Schoolar: search

SIeSTA: Aid technology and e-service integrated system
Recently published social protection and dependence reports reaffirm that the elderly, the disabled, or those in situations of dependency objectively benefit from continuing to live at home with the assistance from direct family. Currently in Spain - amongst the elderly, or people in a situation of ...
year: 2011 - type: Scopus - journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  - Google Schoolar: search

An adaptive multi-agent based architecture for engineering education
This paper proposes an agent-based adaptive Architecture to extend Moodle in order to support instructional decisions and adaptive behaviour in engineering education. The paper describes the characteristics, functions, and interactions of the agents which take part in each module of the adaptive arc...
year: 2010 - type: Scopus - journal: 2010 IEEE Education Engineering Conference, EDUCON 2010  - DOI: 10.1109/EDUCON.2010.5492574  - Google Schoolar: search

Aplicación de métodos de diseño centrado en el usuario y minería de datos para definir recomendaciones que promuevan el uso del foro en una experiencia virtual de aprendizaje
La adopción de sistemas recomendadores en ambientes virtuales de aprendizaje se está convirtiendo en una alternativa; para lograr la adaptación automática requerida, para atender las necesidades de aprendizaje de los estudiantes. Con los datos de interacción, que proveen estos ambientes es posi...
year: 2010 - type: Latindex Catálogo - journal: RIED. Revista Iberoamericana de Educación a Distancia  - Google Schoolar: search