Multimodal Affective Computing: Technologies and Applications in Learning Environments

Author:   Ramón Zatarain Cabada ,  Héctor Manuel Cárdenas López ,  Hugo Jair Escalante
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2023
ISBN:  

9783031325410


Pages:   213
Publication Date:   27 June 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Multimodal Affective Computing: Technologies and Applications in Learning Environments


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Author:   Ramón Zatarain Cabada ,  Héctor Manuel Cárdenas López ,  Hugo Jair Escalante
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Weight:   0.518kg
ISBN:  

9783031325410


ISBN 10:   3031325419
Pages:   213
Publication Date:   27 June 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Ramon Zatarain Cabada. Professor and Researcher at the Instituto Tecnológico de Culiacán, Mexico. He is a regular member of the Mexican Academy of Computing (AMEXCOMP), the Mexican Society of Artificial Intelligence (SMIA), and the Mexican System of Researchers Level I (SNI). He has been a professor and Researcher at institutions such as Instituto Tecnológico de Toluca, the University of the State of México (UAEM), and the Instituto Tecnológico de Aguascalientes. He was a leader to create programs for Computer Science (Master and PhD). He has served as co-editor of a special issue of Educational Technology and Society and author of chapters in different Springer books such as Soft Computing for Recognition Based on Biometrics, Social Networking and Education, and Current Trends on Knowledge-Based Systems. As a researcher he has been a leader in more than 20 research projects and has more than 100 publications in different international journals and proceedings. His researchinterests are on Intelligent Learning Environments, Affective Computing, and Artificial Intelligence applied to Education. Héctor Manuel Cárdenas López. Research assistant at the Instituto Tecnológico de Culiacán, Mexico. He is currently working towards a PhD degree in Engineering Sciences with the topic Multimodal Emotion and Personality Recognition. He is a member of the Thematic Network of Applied Computational Intelligence (RedICA). His main research interest includes Multimodal deep learning techniques, human behavior classification for emotion and personality recognition, affective tutoring systems, and cognitive oriented emotions. Hugo Jair Escalante. Senior researcher scientist INAOE, Mexico and member of the board of directors of ChaLearn USA, Chair officer of the IAPR Technical Committee 12. He is a regular member of the Mexican Academy of Sciences (AMC), the Mexican Academy of Computing (AMEXCOMP) and Mexican System of Researchers Level II (SNI). He was editor of the Springer Series on Challenges in Machine Learning 2017-2023 and is Associate Editor of IEEE Transactions on Affective Computing. He has been involved in the organization of several challenges in machine learning and computer vision collocated with top venues. He has served as competition chair of NeurIPS2020, FG2020 and ICPR2020, NeurIPS2019, PAKDD2019-2018, IJCNN2019. His research interests are on machine learning, challenge organization, and its applications on language and vision.

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