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2020 – today
- 2024
[c5]Omar García-Vázquez, Marco A. Cardoso-Moreno, José Alberto Torres-León, Diana Jiménez:
HomoCIC at HOMO-MEX 2024: Deep Learning Approaches for Classifying Homophobic Content in Tweets and Songs: Leveraging LLM and NL. IberLEF@SEPLN 2024- [c4]Miguel Soto, Cesar Macias, Marco A. Cardoso-Moreno, Tania Alcántara, Omar García, Hiram Calvo:
CogniCIC at EmoSPeech-IberLEF2024: Exploring Multimodal Emotion Recognition in Spanish: Deep Learning Approaches for Speech-Text Analysis. IberLEF@SEPLN 2024 - 2023
- [j1]Diana Jiménez, Marco A. Cardoso-Moreno, Fernando Aguilar Canto, Omar Juárez Gambino, Hiram Calvo:
PoSLemma: How Traditional Machine Learning and Linguistics Preprocessing Aid in Machine Generated Text Detection. Computación y Sistemas (CyS) 27(4) (2023) - [c3]Juan Eduardo Luján-García
, Marco A. Cardoso-Moreno, Cornelio Yáñez-Márquez, Hiram Calvo:
BEC-1D: Biosignal-Based Emotions Classification with 1D ConvNet. MICAI (2) 2023: 189-200 - [c2]Fernando Aguilar-Canto, Marco A. Cardoso-Moreno, Diana Jiménez, Hiram Calvo:
GPT-2 versus GPT-3 and Bloom: LLMs for LLMs Generative Text Detection. IberLEF@SEPLN 2023 - [c1]Marco A. Cardoso-Moreno, Cesar Macias, Tania Alcántara, Miguel Soto, Hiram Calvo, Cornelio Yáñez-Márquez:
Convolving Emotions: A Compact CNN for EEG-Based Emotion Recognition. SSCI 2023: 1472-1476
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