Email: david.bastidas@sdas-group.com | website: https://www.linkedin.com/in/david-bastidas-7a071498/

He was born in Pasto, Colombia in 1989. He received his degree in electronic engineering in 2018. He has experience in different types of programming language such as c++, java and different development platforms such as matlab, android studio and Netbeans.

Research Interests

Case-based reasoning, Machine learning, Pattern recognition, Medical diagnosis.

Publications

1. Case-Based Reasoning Systems for Medical Applications with Improved Adaptation and Recovery Stages
   Lecture Notes in Computer Science
   X. Blanco Valencia, D. Bastidas Torres, C. Piñeros Rodriguez, D. H. Peluffo-Ordóñez, M. A. Becerra, A. E. Castro-Ospina
   See abstract | see full paper
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   Abstract

   Case-Based Reasoning Systems (CBR) are in constant evolution, as a result, this article proposes improving the retrieve and adaption stages through a different approach. A series of experiments were made, divided in three sections: a proper pre-processing technique, a cascade classification, and a probability estimation procedure. Every stage offers an improvement, a better data representation, a more efficient classification, and a more precise probability estimation provided by a Support Vector Machine (SVM) estimator regarding more common approaches. Concluding, more complex techniques for classification and probability estimation are possible, improving CBR systems performance due to lower classification error in general cases.