Juan Zamora
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Citado por
Identifying the intent of a user query using support vector machines
M Mendoza, J Zamora
International Symposium on String Processing and Information Retrieval, 131-142, 2009
Hashing-based clustering in high dimensional data
J Zamora, M Mendoza, H Allende
Expert Systems with Applications, 2016
Building decision trees to identify the intent of a user query
M Mendoza, J Zamora
International Conference on Knowledge-Based and Intelligent Information and …, 2009
Query Intent Detection Based on Query Log Mining.
J Zamora, M Mendoza, H Allende
J. Web Eng. 13 (1&2), 24-52, 2014
A Machine Learning Approach for the Automatic Classification of Schizophrenic Discourse
H Allende-Cid, J Zamora, P Alfaro-Faccio, MF Alonso-Sánchez
IEEE Access 7, 45544-45553, 2019
A wavelet-based method for time series forecasting
G Dominguez, M Guevara, M Mendoza, J Zamora
2012 31st International Conference of the Chilean Computer Science Society …, 2012
Distributed Clustering of Text Collections
J Zamora, H Allende-Cid, M Mendoza
IEEE Access 7, 155671-155685, 2019
Recent Advances in High-Dimensional Clustering for Text Data
J Zamora
Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing, 323-337, 2017
Stream Volume Prediction in Twitter with Artificial Neural Networks.
G Dominguez, J Zamora, M Guevara, H Allende, R Salas
ICPRAM (2), 488-493, 2012
A New Information Theory Based Clustering Fusion Method for Multi-view Representations of Text Documents
J Zamora, J Sublime
International Conference on Human-Computer Interaction, 156-167, 2020
A Distributed Shared Nearest Neighbors Clustering Algorithm
J Zamora, H Allende-Cid, M Mendoza
Iberoamerican Congress on Pattern Recognition, 710-718, 2017
On the Understanding of the Stream Volume Behavior on Twitter
J Zamora, M Guevara, G Dominguez, H Allende, A Veloz, R Salas
Pattern Recognition-Applications and Methods, 171-180, 2013
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Artículos 1–12