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Featured Researchers

Hugo Jair Escalante
14 publications
Manuel Montes-y-Gómez
11 publications
Mauricio Gonzalez-Soto
4 publications
Gustavo Rodríguez Gómez
2 publications
Eduardo Morales
2 publications
Luis E. Sucar
2 publications
Hugo J. Escalante
2 publications
Iván Rodríguez-Montoya
1 publication
Itziar Aretxaga
1 publication
Lino Rodriguez-Coayahuitl
1 publication
Ricardo Serrato Barrera
1 publication

CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing

Face anti-spoofing is essential to prevent face recognition systems from...
08/28/2019 ∙ by Shifeng Zhang, et al. ∙ 15 ∙ share

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AutoML @ NeurIPS 2018 challenge: Design and Results

We organized a competition on Autonomous Lifelong Machine Learning with ...
03/12/2019 ∙ by Hugo Jair Escalante, et al. ∙ 12 ∙ share

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A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams

With the rise of the Internet, there is a growing need to build intellig...
05/18/2019 ∙ by Sergio G. Burdisso, et al. ∙ 1 ∙ share

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t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams

A recently introduced classifier, called SS3, has shown to be well suite...
11/11/2019 ∙ by Sergio G. Burdisso, et al. ∙ 1 ∙ share

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Multiple component decomposition from millimeter single-channel data

We present an implementation of a blind source separation algorithm to r...
11/23/2017 ∙ by Iván Rodríguez-Montoya, et al. ∙ 0 ∙ share

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Principal motion components for gesture recognition using a single-example

This paper introduces principal motion components (PMC), a new method fo...
10/17/2013 ∙ by Hugo Jair Escalante, et al. ∙ 0 ∙ share

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Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos

Explainability and interpretability are two critical aspects of decision...
02/02/2018 ∙ by Hugo Jair Escalante, et al. ∙ 0 ∙ share

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Towards Deep Representation Learning with Genetic Programming

Genetic Programming (GP) is an evolutionary algorithm commonly used for ...
02/20/2018 ∙ by Lino Rodriguez-Coayahuitl, et al. ∙ 0 ∙ share

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Software System Design based on Patterns for Newton-Type Methods

A wide range of engineering applications uses optimisation techniques as...
05/12/2019 ∙ by Ricardo Serrato Barrera, et al. ∙ 0 ∙ share

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Unmasking Bias in News

We present experiments on detecting hyperpartisanship in news using a 'm...
06/11/2019 ∙ by Javier Sánchez-Junquera, et al. ∙ 0 ∙ share

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Meta-learning of textual representations

Recent progress in AutoML has lead to state-of-the-art methods (e.g., Au...
06/21/2019 ∙ by Jorge Madrid, et al. ∙ 0 ∙ share

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Towards AutoML in the presence of Drift: first results

Research progress in AutoML has lead to state of the art solutions that ...
07/24/2019 ∙ by Jorge G. Madrid, et al. ∙ 0 ∙ share

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von Neumann-Morgenstern and Savage Theorems for Causal Decision Making

Decision making under uncertain conditions has been well studied when un...
07/26/2019 ∙ by Mauricio Gonzalez-Soto, et al. ∙ 0 ∙ share

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Reinforcement Learning is not a Causal problem

We use an analogy between non-isomorphic mathematical structures defined...
08/20/2019 ∙ by Mauricio Gonzalez-Soto, et al. ∙ 0 ∙ share

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