Severe Asthma Exacerbations Prediction Using Neural Networks. - Arthur Silveira; Cristian E. Muñoz; Leonardo A. F. Mendoza (EANN, 2019)

Analysis and Classification of Voice Pathologies using Glottal Signal Parameters with Recurrent Neural Networks and SVM. - Leonardo Forero Mendoza; Manoela Kohler; Cristian E. Muñoz; Evelyn Conceição Santos Batista; Marco Aurélio Pacheco (ICAART (2), 2019)

Improving Transfer Learning Performance: An Application in the Classification of Remote Sensing Data. - Gabriel Lins Tenório; Cristian E. Muñoz Villalobos; Leonardo A. Forero Mendoza; Eduardo Costa da Silva; Wouter Caarls (ICAART (2), 2019)

A free web service for fast COVID-19 classification of chest X-Ray images. - Jose David Bermudez Castro; Ricardo Rei; Jose E. Ruiz; Pedro Achanccaray Diaz; Smith W. Arauco Canchumuni; Cristian E. Muñoz Villalobos; Felipe Borges Coelho; Leonardo Forero Mendoza; Marco Aurélio Cavalcanti Pacheco (CoRR, 2020)

Improvement Optical Character Recognition for Structured Documents using Generative Adversarial Networks. - Jose David Bermudez Castro; Smith W. Arauco Canchumuni; Cristian E. Muñoz Villalobos; Fábio Corrêa Cordeiro; Antônio Marcelo Azevedo Alexandre; Marco Aurélio Cavalcanti Pacheco (ICCSA (Workshops), 2021)

A Free Web Service for Fast COVID-19 Classification of Chest X-Ray Images with Artificial Intelligence. - Jose David Bermudez Castro; Jose E. Ruiz; Pedro Achanccaray Diaz; Smith W. Arauco Canchumuni; Cristian E. Muñoz Villalobos; Felipe Borges Coelho; Leonardo Forero Mendoza; Marco Aurélio Cavalcanti Pacheco (ICCSA (1), 2022)

Sentimental Analysis on Social Media Comments with Recurring Models and Pretrained Word Embeddings in Portuguese. - Cristian E. Muñoz Villalobos; Leonardo Forero Mendoza; Harold Dias de Mello; César H. Valencia; Alvaro Orjuela 002; Ricardo Tanscheit; Marco Aurélio Cavalcanti Pacheco (NLPIR, 2022)

Uncovering Bias in Face Generation Models. - Cristian E. Muñoz; Sara Zannone; Umar Mohammed; Adriano S. Koshiyama (CoRR, 2023)

Local and Global Explainability Metrics for Machine Learning Predictions. - Cristian E. Muñoz; Kleyton da Costa; Bernardo Modenesi; Adriano S. Koshiyama (CoRR, 2023)

A Digital Twin System for Oil And Gas Industry: A Use Case on Mooring Lines Integrity Monitoring. - Vinicius Kreischer de Almeida; Douglas Ericson Marcelino de Oliveira; Claudio Daniel Tenorio de Barros; Gabriel dos Santos Scatena; Asdrubal N. Queiroz Filho; Fábio Levy Siqueira; Anna Helena Reali Costa; Edson Satoshi Gomi; Leonardo A. F. Mendoza; Evelyn Conceição Santos Batista; Cristian E. Muñoz; Isabela Guimarães Siqueira; et al. (MoDELS (Companion), 2024)

Eliciting Personality Traits in Large Language Models. - Airlie Hilliard; Cristian E. Muñoz; Zekun Wu 003; Adriano Soares Koshiyama (CoRR, 2024)

From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. - Navya Jain; Zekun Wu 003; Cristian E. Muñoz; Airlie Hilliard; Adriano S. Koshiyama; Emre Kazim; Philip C. Treleaven (CoRR, 2024)

THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models. - Mengfei Liang; Archish Arun; Zekun Wu 003; Cristian E. Muñoz; Jonathan Lutch; Emre Kazim; Adriano S. Koshiyama; Philip C. Treleaven (CoRR, 2024)

From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. - Navya Jain; Zekun Wu 003; Cristian E. Muñoz Villalobos; Airlie Hilliard; Xin Guan; Adriano S. Koshiyama; Emre Kazim; Philip C. Treleaven (NAACL (Findings), 2025)

LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries. - Zekun Wu 003; Seonglae Cho; Umar Mohammed; Cristian E. Muñoz; Kleyton da Costa; Xin Guan; Theo King; Ze Wang; Emre Kazim; Adriano S. Koshiyama (CoRR, 2025)