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Comparison of bioinspired algorithms applied to cancer database
(Corporación Universidad de la Costa, 2021)
Cancer is not just a disease; it is a set of diseases. Breast cancer is the second most common cancer worldwide after lung cancer, and it represents the most frequent cause of cancer death in women (Thurtle et al. in: PLoS ...
Applying a business intelligence system in a big data context: production companies
(Universidad de la Costa, 2020-01-07)
Industry 4.0 promotes automation through computer systems of the manufacturing industry and its objective is the Smart Factory. Its development is considered a key factor in the strategic positioning not only of companies, ...
The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice
(International Symposium on Neural Networks, 2019-06-26)
Agricultural activity is characterized by an intensive use of capital and a considerable dependence on external financing. Access to credit is often limited by the scarcity of resources and lack of guarantees, seriously ...
Competitions of multi-agent systems for teaching artificial intelligence
(Universidad de la Costa, 2019)
This paper presents an approach based on competitions of multiagent systems as the basis for teaching advanced topics in Artificial Intelligence.
The method was applied in the Cognitive Robotics course with students of ...
U-Control Chart Based Differential Evolution Clustering for Determining the Number of Cluster in k-Means
(International Conference on Green, Pervasive, and Cloud Computing, 2019-04-27)
The automatic clustering differential evolution (ACDE) is one of the clustering methods that are able to determine the cluster number automatically. However, ACDE still makes use of the manual strategy to determine k ...
Factors that determine advertising evasion in social networks
(Corporación Universidad de la Costa, 2021)
The present work is framed within the study of advertising evasion online and particularly in social networks. Social networks are a growing phenomenon, where users spend most of their time online and where companies are ...
Intelligent and Distributed Data Warehouse for Student’s Academic Performance Analysis
(International Symposium on Neural Networks, 2019-06-26)
In the academic world, a large amount of data is handled each day, ranging from student’s assessments to their socio-economic data. In order to analyze this historical information, an interesting alternative is to implement ...
Algorithm for Detecting Polarity of Opinions in University Students Comments on Their Teachers Performance
(Corporación Universidad de la Costa, 2021)
Sentiment analysis is a text classification task within the area of natural language processing whose objective is to detect the polarity (positive, negative or neutral) of an opinion given by a certain user. Knowing the ...
Classification of academic events from their textual description
(Corporación Universidad de la Costa, 2021)
The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions and emoticons to help the preprocessing of texts published in social networks. The use of these dictionaries is intended to improve ...
Multi-dimension Tensor Factorization Collaborative Filtering Recommendation for Academic Profiles
(International Symposium on Neural Networks, 2019-06-26)
The choice of academic itineraries and/or optional subjects to attend is not usually an easy decision since, in most cases, students lack the information, maturity, and knowledge required to make right decisions. This paper ...