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Assessment of the Emotional State in Domestic Dogs using a Bi-dimensional Model of Emotions and a Machine Learning Approach for the Analysis of its Vocalizations.

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Aplicación web para identificar personalidad, género y edad de usuarios en Twitter., , , , and . Res. Comput. Sci., (2016)Assessment of the Emotional State in Domestic Dogs using a Bi-dimensional Model of Emotions and a Machine Learning Approach for the Analysis of its Vocalizations., , , , , and . Res. Comput. Sci., (2017)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)Classification of Domestic Dogs Emotional Behavior Using Computer Vision., , , and . Computación y Sistemas, (2022)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)A lexical-availability-based framework from short communications for automatic personality identification., , , , and . Cogn. Syst. Res., (June 2023)Dog emotion recognition from images in the wild: DEBIw dataset and first results., , , , , and . ACI, page 5:1-5:13. ACM, (2022)Automatic individual dog recognition based on the acoustic properties of its barks., , , and . J. Intell. Fuzzy Syst., 34 (5): 3273-3280 (2018)Automatic Classification of Context in Induced Barking., , , and . Res. Comput. Sci., (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)