extended-abstract

Combining Supervised and Unsupervised Learning to Discover Emotional Classes

Authors:

Miguel Arevalillo-Herráez,

Olga C. Santos, and

Pablo Arnau-GonzálezAuthors Info & Claims

UMAP '17: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization

July 2017

Pages 355 - 356

https://doi.org/10.1145/3079628.3079630

Published: 09 July 2017 Publication History

Abstract

Most previous work in emotion recognition has fixed the available classes in advance, and attempted to classify samples into one of these classes using a supervised learning approach. In this paper, we present preliminary work on combining supervised and unsupervised learning to discover potential latent classes which were not initially considered. To illustrate the potential of this hybrid approach, we have used a Self-Organizing Map (SOM) to organize a large number of Electroencephalogram (EEG) signals from subjects watching videos, according to their internal structure. Results suggest that a more useful labelling scheme could be produced by analysing the resulting topology in relation to user reported valence levels (i.e., pleasantness) for each signal, refining the original set of target classes.

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Cited By

Revelo-Bautista MBedoya-Benavides JSayago-Heredia JPico-Valencia PQuiñonez-Ku X(2024)Classification of Toxic Comments on Social Networks Using Machine LearningInternational Conference on Applied Technologies10.1007/978-3-031-58953-9_20(257-270)Online publication date: 29-May-2024
https://doi.org/10.1007/978-3-031-58953-9_20
Ayesh AArevalillo-Herra´ez MArnau-González P(2018)SOM-Based Class Discovery for Emotion Detection Based on DEAP DatasetInternational Journal of Software Science and Computational Intelligence10.4018/IJSSCI.201801010210:1(15-26)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.4018/IJSSCI.2018010102
Ayesh AArevalillo-Herraez MArnau-Gonzalez P(2017)Class discovery from semi-structured EEG data for affective computing and personalisation2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)10.1109/ICCI-CC.2017.8109736(96-101)Online publication date: Jul-2017
https://doi.org/10.1109/ICCI-CC.2017.8109736

Index Terms

Combining Supervised and Unsupervised Learning to Discover Emotional Classes

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Information

Published In

cover image ACM Conferences

UMAP '17: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization

July 2017

420 pages

ISBN:9781450346351

DOI:10.1145/3079628

General Chairs:
Maria Bielikova
Slovak University of Technology in Bratislava, Slovakia
,
Eelco Herder
L3S Research Center, Germany and Radboud Universiteit Nijmegen, The Netherlands
,
Program Chairs:
Federica Cena
University of Torino, Italy
,
Michel Desmarais
Polytechnique University, Montreal, Canada

Copyright © 2017 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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New York, NY, United States

Publication History

Published: 09 July 2017

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Extended-abstract

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Ministerio de Economía y Competitividad

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UMAP '17

Sponsor:

UMAP '17: 25th Conference on User Modeling, Adaptation and Personalization

July 9 - 12, 2017

Bratislava, Slovakia

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UMAP '17 Paper Acceptance Rate 29 of 80 submissions, 36%;

Overall Acceptance Rate 162 of 633 submissions, 26%

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Cited By

Revelo-Bautista MBedoya-Benavides JSayago-Heredia JPico-Valencia PQuiñonez-Ku X(2024)Classification of Toxic Comments on Social Networks Using Machine LearningInternational Conference on Applied Technologies10.1007/978-3-031-58953-9_20(257-270)Online publication date: 29-May-2024
https://doi.org/10.1007/978-3-031-58953-9_20
Ayesh AArevalillo-Herra´ez MArnau-González P(2018)SOM-Based Class Discovery for Emotion Detection Based on DEAP DatasetInternational Journal of Software Science and Computational Intelligence10.4018/IJSSCI.201801010210:1(15-26)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.4018/IJSSCI.2018010102
Ayesh AArevalillo-Herraez MArnau-Gonzalez P(2017)Class discovery from semi-structured EEG data for affective computing and personalisation2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)10.1109/ICCI-CC.2017.8109736(96-101)Online publication date: Jul-2017
https://doi.org/10.1109/ICCI-CC.2017.8109736

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