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Deep learning of robust representations for multi-instance and multi-label image classification
(Corporación Universidad de la Costa, 2020)
In multi-instance problems (MIL), an arbitrary number of instances is associated with a class label. Therefore, the labeling of training data becomes simpler (since it is done together, instead of individually) with the ...
Evolutionary algorithm for content-based image search
(Corporación Universidad de la Costa, 2020)
Content-based image retrieval systems attempt to provide a means of searching for images in large repositories without using any information other than that contained in the image itself, usually in the form of low-level ...
Natural language explanation model for decision trees
(Journal of Physics: Conference Series, 2020-02-01)
This study describes a model of explanations in natural language for classification
decision trees. The explanations include global aspects of the classifier and local aspects of the
classification of a particular instance. ...
Multiple linear regression analysis of factors affecting the consumption
(Universidad de la Costa, 2019)
Econometrics provides the researchers with methods, theoretical basements, and procedures that allow the formulation and estimation of economic models that explain the study variable during a reference time period, as well ...
Big data and automatic detection of topics: social network texts
(Journal of Physics: Conference Series, 2020)
This paper proposes the analysis of the influence of terms that express feelings in the automatic detection of topics in social networks. This proposal uses an ontology-based methodology which incorporates the ability to ...
Time series decomposition using automatic learning techniques for predictive models
(Journal of Physics: Conference Series, 2020)
This paper proposes an innovative way to address real cases of production prediction. This approach consists in the decomposition of original time series into time sub-series according to a group of factors in order to ...
Multispectral image analysis for the detection of diseases in coffee production
(Corporación Universidad de la Costa, 2020)
Coffee is produced in Latin America, Africa and Asia, and is one of the most traded agricultural products in international markets. The coffee agribusiness has been diversified all over the world and constitutes an important ...
Comparison of bio-inspired algorithms applied to the hospital mortality risk stratification
(Corporación Universidad de la Costa, 2020)
The construction of patient classification (or risk adjustment) systems allows comparison of the effectiveness and quality of hospitals and hospital services, providing useful information for management decision making and ...
Classification of chest diseases using deep learning
(Corporación Universidad de la Costa, 2020)
The field of computer vision has had exponential progress in a wide range of applications due to the use of deep learning and especially the existence of large annotated image data sets [1]. Significant improvements have ...
Performance evaluation of a hybrid vehicle and sensor network to prevent traffic accidents
(Corporación Universidad de la Costa, 2020)
In recent years, wireless networks have become a widespread communication technology as well as a research challenge. Many contributions have been made on ad hoc networks, such as wireless sensor networks (WSNs) and vehicular ...