Alejandro Rosete
Polytechnic José Antonio Echeverría
61 Papers
90 Citations
Alejandro Rosete is an academic researcher from Polytechnic José Antonio Echeverría. The author has contributed to research in topics: Computer science & Fuzzy logic. The author has an hindex of 10, co-authored 48 publications. Previous affiliations of Alejandro Rosete include Instituto Politécnico Nacional & University of Havana.
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Papers
LSA64: An Argentinian Sign Language Dataset
Franco Ronchetti,Facundo Quiroga,César Armando Estrebou,Laura Cristina Lanzarini,Alejandro Rosete +4 more
- 01 Jan 2016
TL;DR: A dataset of 64 signs from the Argentinian Sign Language, called LSA64, contains 3200 videos of 64 different LSA signs recorded by 10 subjects, and is a first step towards building a comprehensive research-level dataset of Argentinian signs, specifically tailored to sign language recognition or other machine learning tasks.
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules
TL;DR: This paper proposes a new multi-objective evolutionary model which maximizes the comprehensibility, interestingness and performance of the objectives in order to mine a set of quantitative association rules with a good trade-off between interpretability and accuracy.
81
NICGAR: a Niching Genetic Algorithm to Mine a Diverse Set of Interesting Quantitative Association Rules
TL;DR: NICGAR is presented, a new Niching Genetic Algorithm to obtain a reduce set of different positive and negative quantitative association rules with a low runtime to extract the rules based on the existence of a pool of external solutions that contains the best rule of each niche found in the search process.
81
Sign Languague Recognition Without Frame-Sequencing Constraints: A Proof of Concept on the Argentinian Sign Language
Franco Ronchetti,Facundo Quiroga,César Armando Estrebou,Laura Cristina Lanzarini,Alejandro Rosete +4 more
- 23 Nov 2016
TL;DR: Automatic sign language recognition (SLR) could assist in the translation process and the integration of hearing-impaired people, as well as the teaching of sign language for the hearing population.
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Approaching rank aggregation problems by using evolution strategies: The case of the optimal bucket order problem
TL;DR: The study shows that the best evolution strategy improves upon the accuracy obtained by the standard greedy method (BPA) by 35%, and that of LIA G M P 2 by 12.5%.
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