Papers by ANTONIO ACEVEDO
Lecture Notes in Computer Science, 2012
A navigation system for a robot is presented in this work. The Wall-Following problem has become ... more A navigation system for a robot is presented in this work. The Wall-Following problem has become a classic problem of Robotics due to robots have to be able to move through a particular stage. This problem is proposed as a classifying task and it is solved using an associative approach. In particular, we used Morphological Associative Memories as classifier. Three testing methods were applied to validate the performance of our proposal: Leave-One-Out, Hold-Out and K-fold Cross-Validation and the average obtained was of 91.57%, overcoming the neural approach.
Lecture Notes in Computer Science, 2011
A method for diagnosing Parkinson's disease is presented. The proposal is based on associative ap... more A method for diagnosing Parkinson's disease is presented. The proposal is based on associative approach, and we used this method for classifying patients with Parkinson's disease and those who are completely healthy. In particular, Alpha-Beta Bidirectional Associative Memory is used together with the modified Johnson-Möbius codification in order to deal with mixed noise. We use three methods for testing the performance of our method: Leave-One-Out, Hold-Out and K-fold Cross Validation and the average obtained was of 97.17%.
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Papers by ANTONIO ACEVEDO