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ORCIDJoão Renato Ribeiro Manesco
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2020 – today
- 2025
[j3]André da Fonseca Schuck
, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, João Paulo Papa:
Evaluating Large Language Models for Brazilian Portuguese Sentiment Analysis: A Comparative Study of Multilingual State-of-the-Art vs. Brazilian Portuguese Fine-Tuned LLMs. J. Braz. Comput. Soc. 31(1): 885-917 (2025)- [j2]Pedro Henrique Paiola, Gabriel Lino Garcia, João Vitor Mariano Correia, João Renato Ribeiro Manesco, Ana Lara Alves Garcia, João Paulo Papa:
The Bode Family of Large Language Models: Investigating the Frontiers of LLMs in Brazilian Portuguese. J. Braz. Comput. Soc. 31(1): 918-939 (2025) - [c9]Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Pedro Henrique Crespan Ribeiro, Ana Lara Alves Garcia, João Paulo Papa:
A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline. CBMS 2025: 214-219 - [c8]Yasmin Rodrigues Sobrinho, Enzo Gabriel Batista Soares, João Renato Ribeiro Manesco, Jawaher Al-Tuweity, Rafael Gonçalves Pires, João Paulo Papa:
A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions. CBMS 2025: 290-296 - [c7]João Renato Ribeiro Manesco, Leandro A. Passos, Érika M. Hoshino, Letícia B. Oliveira, Marcel Koenigkam-Santos, João P. Papa:
Domain-Invariant Classification of Misplaced Medical Devices in Plain Chest X-Ray Images. RTSI 2025: 136-141 - [c6]Pedro H. Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Lucas Miranda, Maria Paola de Salvo, João P. Papa:
Enhancing Governance and Explainability in Large Language Models: A Framework for Interpretability-Driven Decision-Making. RTSI 2025: 296-301 - [i3]Tobias Rueckert, David Rauber, Raphaela Maerkl, Leonard Klausmann, Suemeyye R. Yildiran, Max Gutbrod, Danilo Weber Nunes, Alvaro Fernandez Moreno, Imanol Luengo, Danail Stoyanov, Nicolas Toussaint, Enki Cho, Hyeon Bae Kim, Oh Sung Choo, Ka Young Kim, Seong Tae Kim, Gonçalo Arantes, Kehan Song, Jianjun Zhu, Junchen Xiong, Tingyi Lin, Shunsuke Kikuchi, Hiroki Matsuzaki, Atsushi Kouno, João Renato Ribeiro Manesco, João Paulo Papa, Tae-Min Choi, Tae Kyeong Jeong, Juyoun Park, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Runzhi Wu, Mengya Xu, An Wang, Long Bai, Hongliang Ren, Amine Yamlahi, Jakob Hennighausen, Lena Maier-Hein, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Shu Yang, Yihui Wang, Hao Chen, Santiago Rodríguez, Nicolás Aparicio, Leonardo Manrique, Juan Camilo Lyons, Olivia Hosie, Nicolás Ayobi, Pablo Arbeláez, Yiping Li, Yasmina Al Khalil, Sahar Nasirihaghighi, Stefanie Speidel, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm:
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. CoRR abs/2507.16559 (2025) - 2024
- [c5]Danilo Samuel Jodas, Gabriel Lino Garcia, Pedro Henrique Paiola, João Renato Ribeiro Manesco, João Paulo Papa:
Impact of Quantization on Large Language Models for Portuguese Classification Tasks. CIARP (1) 2024: 213-227 - [c4]Gabriel Lino Garcia, Pedro Henrique Paiola, Eduardo Garcia, João Renato Ribeiro Manesco, João Paulo Papa:
GemBode and PhiBode: Adapting Small Language Models to Brazilian Portuguese. CIARP (1) 2024: 228-243 - [c3]João Renato Ribeiro Manesco, Danilo Samuel Jodas, Maurício José Grapíggia Zanella, Marcel Koenigkam-Santos, João Paulo Papa:
Graph Feature Embeddings for Patient Re-Identification from Chest X-Ray Images. SIBGRAPI 2024: 1-6 - [i2]Pedro Henrique Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Mateus Roder, Douglas Rodrigues, João Paulo Papa:
Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation. CoRR abs/2410.00163 (2024) - [i1]Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Lucas Miranda, Maria Paola de Salvo, João Paulo Papa:
A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences. CoRR abs/2412.03531 (2024) - 2023
- [j1]João Renato Ribeiro Manesco, Stefano Berretti, Aparecido Nilceu Marana:
DUA: A Domain-Unified Approach for Cross-Dataset 3D Human Pose Estimation. Sensors 23(17): 7312 (2023) - [c2]Victor Hugo Braguim Canto, João Renato Ribeiro Manesco, Gustavo Botelho de Souza, Aparecido Nilceu Marana:
Dog Face Recognition Using Vision Transformer. BRACIS (2) 2023: 33-47 - 2022
- [c1]João Renato Ribeiro Manesco, Aparecido Nilceu Marana:
A Survey of Recent Advances on Two-Step 3D Human Pose Estimation. BRACIS (2) 2022: 266-281
Coauthor Index
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