27 citations · 28 across the 5 of their papers we have counts for
5 papers
An optimal linear separator for the Sonar Signals Classification task
Juan-Manuel Torres-Moreno, Mirta B. Gordon
The problem of classifying sonar signals from rocks and mines first studied by Gorman and Sejnowski has become a benchmark against which many learning algorithms have been tested.…
Automatic Summarization System coupled with a Question-Answering System (QAAS)
Juan-Manuel Torres-Moreno, Pier-Luc St-Onge, Michel Gagnon +2
To select the most relevant sentences of a document, it uses an optimal decision algorithm that combines several metrics. The metrics processes, weighting and extract pertinence se…
Combining Supervised and Unsupervised Learning for GIS Classification
Juan-Manuel Torres-Moreno, Laurent Bougrain, Frdéric Alexandre
This paper presents a new hybrid learning algorithm for unsupervised classification tasks. We combined Fuzzy c-means learning algorithm and a supervised version of Minimerror to de…
Statistical Automatic Summarization in Organic Chemistry
Florian Boudin, Patricia Velazquez-Morales, Juan-Manuel Torres-Moreno
We present an oriented numerical summarizer algorithm, applied to producing automatic summaries of scientific documents in Organic Chemistry. We present its implementation named Ya…
Adaptive Learning with Binary Neurons
Juan-Manuel Torres-Moreno, Mirta B. Gordon
A efficient incremental learning algorithm for classification tasks, called NetLines, well adapted for both binary and real-valued input patterns is presented. It generates small c…