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Automatic Classification of Context in Induced Barking., , , and . Research in Computing Science, (2015)Fusing Affective Dimensions and Audio-Visual Features from Segmented Video for Depression Recognition: INAOE-BUAP's Participation at AVEC'14 Challenge., , , , , and . AVEC@MM, page 49-55. ACM, (2014)Aplicación web para identificar personalidad, género y edad de usuarios en Twitter., , , , and . Research in Computing Science, (2016)Overview of MEX-A3T at IberEval 2018: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets., , , , , , and . IberEval@SEPLN, volume 2150 of CEUR Workshop Proceedings, page 74-96. CEUR-WS.org, (2018)dasasap, an App for Syllogisms., , and . CoRR, (2015)The Role of n-grams in Firstborns Identification., , , , , and . MICAI (1), volume 9413 of Lecture Notes in Computer Science, page 95-106. Springer, (2015)From Text to Speech: A Multimodal Cross-Domain Approach for Deception Detection., , , and . CVAUI/IWCF/MIPPSNA@ICPR, volume 11188 of Lecture Notes in Computer Science, page 164-177. Springer, (2018)Automated Detection of Hummingbirds in Images: A Deep Learning Approach., , , , , , , and . MCPR, volume 10880 of Lecture Notes in Computer Science, page 155-166. Springer, (2018)High-Level Features for Multimodal Deception Detection in Videos., , , and . CVPR Workshops, page 0. Computer Vision Foundation / IEEE, (2019)