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research

∙ 08/28/2019

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

Face anti-spoofing is essential to prevent face recognition systems from...

Shifeng Zhang, et al. ∙

research

∙ 09/07/2021

Multi-Branch Deep Radial Basis Function Networks for Facial Emotion Recognition

Emotion recognition (ER) from facial images is one of the landmark tasks...

Fernanda Hernández-Luquin, et al. ∙

research

∙ 03/12/2019

AutoML @ NeurIPS 2018 challenge: Design and Results

We organized a competition on Autonomous Lifelong Machine Learning with ...

Hugo Jair Escalante, et al. ∙

research

∙ 05/18/2019

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...

Sergio G. Burdisso, et al. ∙

research

∙ 11/11/2019

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...

Sergio G. Burdisso, et al. ∙

research

∙ 11/23/2017

Multiple component decomposition from millimeter single-channel data

We present an implementation of a blind source separation algorithm to r...

Iván Rodríguez-Montoya, et al. ∙

research

∙ 10/17/2013

Principal motion components for gesture recognition using a single-example

This paper introduces principal motion components (PMC), a new method fo...

Hugo Jair Escalante, et al. ∙

research

∙ 02/02/2018

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

Explainability and interpretability are two critical aspects of decision...

Hugo Jair Escalante, et al. ∙

research

∙ 02/20/2018

Towards Deep Representation Learning with Genetic Programming

Genetic Programming (GP) is an evolutionary algorithm commonly used for ...

Lino Rodriguez-Coayahuitl, et al. ∙

research

∙ 05/12/2019

Software System Design based on Patterns for Newton-Type Methods

A wide range of engineering applications uses optimisation techniques as...

Ricardo Serrato Barrera, et al. ∙

research

∙ 06/11/2019

Unmasking Bias in News

We present experiments on detecting hyperpartisanship in news using a 'm...

Javier Sánchez-Junquera, et al. ∙

research

∙ 06/21/2019

Meta-learning of textual representations

Recent progress in AutoML has lead to state-of-the-art methods (e.g., Au...

Jorge Madrid, et al. ∙

research

∙ 07/24/2019

Towards AutoML in the presence of Drift: first results

Research progress in AutoML has lead to state of the art solutions that ...

Jorge G. Madrid, et al. ∙

research

∙ 07/26/2019

von Neumann-Morgenstern and Savage Theorems for Causal Decision Making

Decision making under uncertain conditions has been well studied when un...

Mauricio Gonzalez-Soto, et al. ∙

research

∙ 08/20/2019

Reinforcement Learning is not a Causal problem

We use an analogy between non-isomorphic mathematical structures defined...

Mauricio Gonzalez-Soto, et al. ∙

research

∙ 04/13/2021

Toward asynchronous EEG-based BCI: Detecting imagined words segments in continuous EEG signals

An asynchronous Brain–Computer Interface (BCI) based on imagined speech ...

Tonatiuh Hernández-Del-Toro, et al. ∙

INAOE

Featured Researchers

Hugo Jair Escalante

Manuel Montes-y-Gómez

Luis Villaseñor-Pineda

Eduardo Morales

Mauricio Gonzalez-Soto

Carlos A. Reyes-García

Gustavo Rodríguez Gómez

Luis E. Sucar

Hugo J. Escalante

Iván Rodríguez-Montoya

Itziar Aretxaga

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

Multi-Branch Deep Radial Basis Function Networks for Facial Emotion Recognition

AutoML @ NeurIPS 2018 challenge: Design and Results

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

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

Multiple component decomposition from millimeter single-channel data

Principal motion components for gesture recognition using a single-example

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

Towards Deep Representation Learning with Genetic Programming

Software System Design based on Patterns for Newton-Type Methods

Unmasking Bias in News

Meta-learning of textual representations

Towards AutoML in the presence of Drift: first results

von Neumann-Morgenstern and Savage Theorems for Causal Decision Making

Reinforcement Learning is not a Causal problem

Toward asynchronous EEG-based BCI: Detecting imagined words segments in continuous EEG signals