Hugo Jair Escalante
- Auteur
Hugo Jair Escalante
Boeken van Hugo Jair Escalante
Hugo Jair Escalante
Sergio Escalera
Isabelle Guyon
Xavier Baró
Ya?mur Güçlütürk
Umut Güçlü
Marcel van Gerven
Explainable and Interpretable Models in Computer Vision and Machine Learning
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.
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Zhaoxiang Zhang
David Suter
Yingli Tian
Alexandra Branzan Albu
Nicolas Sidère
Hugo Jair Escalante
Pattern Recognition and Information Forensics
This book constitutes the refereed post-conference proceedings of 3 workshops, held at the 24th International Conference on Pattern Recognition, Beijing, China, in August 2018: the Third International Workshop on Computer Vision for Analysis of Underwater Imagery, CVAUI 2018, the 7th International Workshop on Computational Forensics, IWCF 2018, and the International Workshop on Multimedia Information Processing for Personality and Social Networks Analysis, MIPPSNA 2018.
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Alberto Del Bimbo
Tao Mei
Rita Cucchiara
Stan Sclaroff
Roberto Vezzani
Giovanni Maria Farinella
Marco Bertini
Hugo Jair Escalante
Pattern Recognition. ICPR International Workshops and Challenges
This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic.
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Alberto Segura
Manuel Montes y Gómez
Hugo Jair Escalante
Juan de Dios Murillo
Advances in Artificial Intelligence - IBERAMIA 2016
This book constitutes the refereed proceedings of the 15 Ibero-American Conference on Artificial Intelligence, IBERAMIA 2016, held in San José, Costa Rica, in November 2016.
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Hector Manuel Cardenas Lopez
Ramón Zatarain Cabada
Ramon Zatarain Cabada
Héctor Manuel Cárdenas López
Hugo Jair Escalante
Multimodal Affective Computing
This book explores AI methodologies for the implementation of affective states in intelligent learning environments. Divided into four parts, Multimodal Affective Computing: Technologies and Applications in Learning Environments begins with an overview of Affective Computing and Intelligent Learning Environments, from their fundamentals and essential theoretical support up to their fusion and some successful practical applications.
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