Data fusion for multi-lesion Diabetic Retinopathy detection. - Herbert Franz Jelinek; Ramon Pires; Rafael Padilha; Siome Goldenstein; Jacques Wainer; Terry Bossomaier; Anderson Rocha 001 (CBMS, 2012)

A competition on generalized software-based face presentation attack detection in mobile scenarios. - Zinelabdine Boulkenafet; Jukka Komulainen; Zahid Akhtar; Azeddine Benlamoudi; Djamel Samai; Salah Eddine Bekhouche; Abdelkrim Ouafi; Fadi Dornaika; Abdelmalik Taleb-Ahmed; Le Qin; Fei Peng 001; L. B. Zhang; et al. (IJCB, 2017)

Improving the Chronological Sorting of Images through Occlusion: A Study on the Notre-Dame Cathedral Fire. - Rafael Padilha; Fernanda A. Andaló; Anderson Rocha 001 (ICASSP, 2020)

COVID-19 X-ray Image Diagnostic with Deep Neural Networks. - Gabriel Bianchin de Oliveira; Rafael Padilha; André Dorte; Luis Cereda; Luiz Miyazaki; Maurício Lopes; Zanoni Dias (BSB, 2020)

Forensic Event Analysis: From Seemingly Unrelated Data to Understanding. - Rafael Padilha; Caroline Mazini Rodrigues; Fernanda A. Andaló; Gabriel Bertocco; Zanoni Dias; Anderson Rocha 001 (IEEE Secur. Priv., 2020)

Two-tiered face verification with low-memory footprint for mobile devices. - Rafael Padilha; Fernanda A. Andaló; Gabriel Bertocco; Waldir R. de Almeida; William Dias; Thiago Resek; Ricardo da Silva Torres; Jacques Wainer; Anderson Rocha 001 (IET Biom., 2020)

RECOD Mobile Presentation-Attack Dataset (RECOD-MPAD). - Waldir R. de Almeida; Anderson Rocha 001; Fernanda A. Andaló; Jacques Wainer; Ricardo da Silva Torres; Gabriel Bertocco; William Dias; Rafael Padilha (Zenodo, 2020)

Deep Learning-Based COVID-19 Diagnostics of Low-Quality CT Images. - Daniel Ferber; Felipe Vieira; João Dalben; Mariana Ferraz; Nicholas Sato; Gabriel Bianchin de Oliveira; Rafael Padilha; Zanoni Dias (BSB, 2021)

Content-Based Detection of Temporal Metadata Manipulation. - Rafael Padilha; Tawfiq Salem; Scott Workman; Fernanda A. Andaló; Anderson Rocha 001; Nathan Jacobs (CoRR, 2021)

Temporally sorting images from real-world events. - Rafael Padilha; Fernanda A. Andaló; Bahram Lavi; Luís A. M. Pereira; Anderson Rocha 001 (Pattern Recognit. Lett., 2021)

Bias Assessment in Medical Imaging Analysis: A Case Study on Retinal OCT Image Classification. - Gabriel Bianchin de Oliveira; Lucas David 001; Rafael Padilha; Ana Paula da Silva; Francine de Paula; Lucas Infante; Lucio Jorge; Patricia Xavier; Zanoni Dias (ICAART (3), 2022)

Explainable Artificial Intelligence for Authorship Attribution on Social Media. - Antonio Theophilo; Rafael Padilha; Fernanda A. Andaló; Anderson Rocha 001 (ICASSP, 2022)

Cross-dataset emotion recognition from facial expressions through convolutional neural networks. - William Dias; Fernanda A. Andaló; Rafael Padilha; Gabriel Bertocco; Waldir R. de Almeida; Paula D. P. Costa; Anderson Rocha 001 (J. Vis. Commun. Image Represent., 2022)

Content-Aware Detection of Temporal Metadata Manipulation. - Rafael Padilha; Tawfiq Salem; Scott Workman; Fernanda A. Andaló; Anderson Rocha 001; Nathan Jacobs (IEEE Trans. Inf. Forensics Secur., 2022)

The Age of Synthetic Realities: Challenges and Opportunities. - João Phillipe Cardenuto; Jing Yang 031; Rafael Padilha; Renjie Wan; Daniel Moreira; Haoliang Li; Shiqi Wang 001; Fernanda A. Andaló; Sébastien Marcel; Anderson Rocha 001 (CoRR, 2023)

Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization. - Somya Sharma; Swati Sharma; Rafael Padilha; Emre Kiciman; Ranveer Chandra (CoRR, 2024)

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture. - Maria Angels de Luis Balaguer; Vinamra Benara; Renato Luiz de Freitas Cunha; Roberto de M. Estevão Filho; Todd Hendry; Daniel Holstein; Jennifer Marsman; Nick Mecklenburg; Sara Malvar; Leonardo O. Nunes; Rafael Padilha; Morris Sharp; et al. (CoRR, 2024)

Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots. - Margaret Capetz; Swati Sharma; Rafael Padilha; Peder A. Olsen; Jessica Wolk; Emre Kiciman; Ranveer Chandra (CoRR, 2024)

RLTHF: Targeted Human Feedback for LLM Alignment. - Yifei Xu; Tusher Chakraborty; Emre Kiciman; Bibek Aryal; Eduardo Rodrigues; Srinagesh Sharma; Roberto Estevão; Maria Angels de Luis Balaguer; Jessica Wolk; Rafael Padilha; Leonardo O. Nunes; Shobana Balakrishnan; et al. (CoRR, 2025)