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ORCIDCristian E. Muñoz Villalobos
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2020 – today
- 2025
[c8]Navya Jain, Zekun Wu, Cristian E. Muñoz Villalobos, Airlie Hilliard, Xin Guan, Adriano S. Koshiyama, Emre Kazim, Philip C. Treleaven:
From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. NAACL (Findings) 2025: 4687-4723- [i7]Zekun Wu, Seonglae Cho
, Umar Mohammed, Cristian E. Muñoz, Kleyton da Costa, Xin Guan, Theo King, Ze Wang, Emre Kazim, Adriano S. Koshiyama:
LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries. CoRR abs/2505.08842 (2025) - 2024
- [c7]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, Rodrigo A. Barreira, Ismael H. F. dos Santos, Carlos Cardoso, Eduardo S. Ogasawara, Fábio Porto:
A Digital Twin System for Oil And Gas Industry: A Use Case on Mooring Lines Integrity Monitoring. MoDELS (Companion) 2024: 322-331 - [i6]Airlie Hilliard, Cristian E. Muñoz, Zekun Wu, Adriano Soares Koshiyama:
Eliciting Personality Traits in Large Language Models. CoRR abs/2402.08341 (2024) - [i5]Navya Jain, Zekun Wu, Cristian E. Muñoz, Airlie Hilliard, Adriano S. Koshiyama, Emre Kazim, Philip C. Treleaven:
From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. CoRR abs/2409.10245 (2024) - [i4]Mengfei Liang, Archish Arun, Zekun Wu, Cristian E. Muñoz, Jonathan Lutch, Emre Kazim, Adriano S. Koshiyama, Philip C. Treleaven:
THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models. CoRR abs/2409.11353 (2024) - 2023
- [i3]Cristian E. Muñoz, Sara Zannone, Umar Mohammed, Adriano S. Koshiyama:
Uncovering Bias in Face Generation Models. CoRR abs/2302.11562 (2023) - [i2]Cristian E. Muñoz, Kleyton da Costa, Bernardo Modenesi, Adriano S. Koshiyama:
Local and Global Explainability Metrics for Machine Learning Predictions. CoRR abs/2302.12094 (2023) - 2022
- [c6]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:
A Free Web Service for Fast COVID-19 Classification of Chest X-Ray Images with Artificial Intelligence. ICCSA (1) 2022: 412-427 - [c5]Cristian E. Muñoz Villalobos, Leonardo Forero Mendoza, Harold Dias de Mello, César H. Valencia, Alvaro Orjuela, Ricardo Tanscheit, Marco Aurélio Cavalcanti Pacheco:
Sentimental Analysis on Social Media Comments with Recurring Models and Pretrained Word Embeddings in Portuguese. NLPIR 2022: 205-209 - 2021
- [c4]Jose David Bermudez Castro, Smith W. Arauco Canchumuni, Cristian E. Muñoz Villalobos, Fábio Corrêa Cordeiro, Antônio Marcelo Azevedo Alexandre, Marco Aurélio Cavalcanti Pacheco:
Improvement Optical Character Recognition for Structured Documents using Generative Adversarial Networks. ICCSA (Workshops) 2021: 285-292 - 2020
- [i1]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:
A free web service for fast COVID-19 classification of chest X-Ray images. CoRR abs/2009.01657 (2020)
2010 – 2019
- 2019
- [c3]Arthur Silveira, Cristian E. Muñoz, Leonardo A. F. Mendoza:
Severe Asthma Exacerbations Prediction Using Neural Networks. EANN 2019: 115-124 - [c2]Leonardo Forero Mendoza, Manoela Kohler, Cristian E. Muñoz, Evelyn Conceição Santos Batista, Marco Aurélio Pacheco:
Analysis and Classification of Voice Pathologies using Glottal Signal Parameters with Recurrent Neural Networks and SVM. ICAART (2) 2019: 19-28 - [c1]Gabriel Lins Tenório, Cristian E. Muñoz Villalobos, Leonardo A. Forero Mendoza, Eduardo Costa da Silva, Wouter Caarls:
Improving Transfer Learning Performance: An Application in the Classification of Remote Sensing Data. ICAART (2) 2019: 174-183
Coauthor Index
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last updated on 2025-10-16 00:12 CEST by the dblp team
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