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Repositorio institucional de la Universidad Tecnológica de Bolívar, aquí encontrarás todo lo relacionado con divulgación científica de la UTB.

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Machine learning models for early dengue severity prediction 

Caicedo-Torres W.; Paternina Á.; Pinzón H. (Springer Verlag, 2016)
Infection by dengue-virus is prevalent and a public health issue in tropical countries worldwide. Also, in developing nations, child populations remain at risk of adverse events following an infection by dengue virus, as ...
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A machine learning model for triage in lean pediatric emergency departments 

Caicedo-Torres W.; García G.; Pinzón H. (Springer Verlag, 2016)
High demand periods and under-staffing due to financial constraints cause Emergency Departments (EDs) to frequently exhibit over-crowding and slow response times to provide adequate patient care. In response, Lean Thinking ...
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Evaluating Features Selection on NSL-KDD Data-Set to Train a Support Vector Machine-Based Intrusion Detection System 

Álvarez Almeida L.A.; Carlos Martinez Santos J. (Institute of Electrical and Electronics Engineers Inc., 2019)
The integrity of information and services is one of the more evident concerns in the world of global information security, due to the fact that it has economic repercussions on the digital industry. For this reason, big ...
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Methodology of data envelopment analysis (DEA) - GLMNEt for assessment and forecasting of financial efficiency in a free trade zone - Colombia 

Fontalvo T.J.; De La Hoz E.J.; Olivos S. (Centro de Informacion Tecnologica, 2019)
This research work proposes a methodology for evaluation and forecasting for companies located in the Industrial Port Zone of the city of Barranquilla, Colombia. Based on an empirical and rational analysis, supported by ...
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Toward an adaptive protection scheme in active distribution networks: Intelligent approach fault detector 

Marín-Quintero, J.; Orozco-Henao, C.; Percybrooks, W.S.; Vélez, J.C.; Montoya, Oscar Danilo; Gil-González, W. (2021-01)
Conventional protection schemes have proven insufficient for the protection of Active Distribution Networks (ADN). Novel protection schemes with an adaptive approach should be developed to guarantee the protection of ADN ...
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Toward an adaptive protection scheme in active distribution networks: Intelligent approach fault detector 

Marín-Quintero, J.; Orozco-Henao, C.; Percybrooks, W.S.; Vélez, Juan C.; Montoya, Oscar Danilo; Gil-González, W. (2021-01)
Conventional protection schemes have proven insufficient for the protection of Active Distribution Networks (ADN). Novel protection schemes with an adaptive approach should be developed to guarantee the protection of ADN ...
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Differential diagnosis of hemorrhagic fevers using ARTMAP and an Artificial Immune System 

Caicedo Torres W.; Quintana M.; Pinzón H. (2013)
The differential diagnosis of endemic hemorrhagic fevers in tropical countries is by no means an easy task for medical practitioners. Several diseases often overlap with others in terms of signs and symptoms, thus making ...
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Seasonality effect analysis and recognition of charging behaviors of electric vehicles: A data science approach 

Dominguez-Jiménez, Juan A.; Campillo, Javier E.; Montoya, Oscar Danilo; Delahoz, Enrique; Hernández, Jesus C. (2020-09-20)
Electric vehicles (EVs) presence in the power grid can bring about pivotal concerns regarding their energy requirements. EVs charging behaviors can be affected by several aspects including socio-economics, psychological, ...
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Predictive Analysis and Data Visualization Approach for Decision Processes in Marketing Strategies: A Case of Study 

García-Pérez, Andrés; Millán Hernández, María Alejandra; Castellón Marriaga, Daniela E. (2020-10-08)
In this paper, we perform a new strategy for recommender systems in online entertainment platforms. As a case of study, we analyzed the reading preferences based on users of Goodreads, a social network for readers, to ...
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A machine learning model for emotion recognition from physiological signals 

Domínguez-Jiménez, J.A.; Campo-Landines, K.C.; Martínez-Santos, J.C.; Delahoz, E.J.; Contreras-Ortiz, S.H. (Elsevier Ltd, 2020)
Emotions are affective states related to physiological responses. This study proposes a model for recognition of three emotions: amusement, sadness, and neutral from physiological signals with the purpose of developing a ...
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AuthorCaicedo-Torres W. (4)Pinzón H. (4)Montoya, Oscar Danilo (3)Delahoz-Dominguez, Enrique J. (2)Fontalvo-Herrera, Tomás José (2)Gil-González, W. (2)Marín-Quintero, J. (2)Orozco-Henao, C. (2)Percybrooks, W.S. (2)Quintana M. (2)... View MoreSubject
Machine learning (27)
Learning systems (12)Artificial intelligence (8)Learning algorithms (6)LEMB (6)Dengue (4)Feature extraction (4)Feature selection (4)Forecasting (4)Logistic regression (4)... View MoreDate Issued2020 (9)2019 (5)2016 (4)2021 (4)2012 (1)2013 (1)2015 (1)2017 (1)2018 (1)Has File(s)Yes (15)No (12)

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Campus Tecnológico
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Correo: repositorioutb@utb.edu.co
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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.