Q-NAS Revisited: Exploring Evolution Fitness to Improve Efficiency. - Daniela Szwarcman; Daniel Civitarese; Marley M. B. R. Vellasco (BRACIS, 2019)

Quantum-Inspired Neural Architecture Search. - Daniela Szwarcman; Daniel Civitarese; Marley M. B. R. Vellasco (IJCNN, 2019)

Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation. - Márcio Ferreira Moreno; Daniel Civitarese; Rafael Brandão 001; Renato Cerqueira (NeSy@IJCAI, 2019)

Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. - Renan Souza 001; Patrick Valduriez; Marta Mattoso; Renato Cerqueira; Marco Aurélio Stelmar Netto; Leonardo Azevedo 001; Vítor Lourenço; Elton F. de Souza Soares; Raphael Thiago; Rafael Brandão 001; Daniel Civitarese; Emilio Vital Brazil; et al. (WORKS@SC, 2019)

Penobscot Dataset: Fostering Machine Learning Development for Seismic Interpretation. - Laís Baroni; Reinaldo Mozart Da Gama e Silva; Rodrigo S. Ferreira; Daniel Civitarese; Daniela Szwarcman; Emilio Vital Brazil (CoRR, 2019)

Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation. - Reinaldo Mozart Da Gama e Silva; Laís Baroni; Rodrigo S. Ferreira; Daniel Civitarese; Daniela Szwarcman; Emilio Vital Brazil (CoRR, 2019)

Semantic Segmentation of Seismic Images. - Daniel Civitarese; Daniela Szwarcman; Emilio Vital Brazil; Bianca Zadrozny (CoRR, 2019)

Managing Machine Learning Workflow Components. - Márcio Ferreira Moreno; Vítor Lourenço; Sandro Rama Fiorini; Polyana B. da Costa; Rafael Brandão 001; Daniel Civitarese; Renato Cerqueira (Int. J. Semantic Comput., 2020)

A modular framework for extreme weather generation. - Bianca Zadrozny; Campbell D. Watson; Daniela Szwarcman; Daniel Civitarese; Dário A. B. Oliveira; Eduardo Rodrigues; Jorge Guevara Diaz (CoRR, 2021)

Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network. - Daniel Salles Civitarese; Daniela Szwarcman; Bianca Zadrozny; Campbell D. Watson (CoRR, 2021)

Enabling Robust Horizon Picking From Small Training Sets. - Andréa Britto Mattos; Daniel Civitarese; Daniela Szwarcman; Matheus Oliveira; Semen Zaytsev; Daniil Semin; Dário A. B. Oliveira (IEEE Trans. Geosci. Remote. Sens., 2021)

Quantum-inspired evolutionary algorithm applied to neural architecture search. - Daniela Szwarcman; Daniel Civitarese; Marley M. B. R. Vellasco (Appl. Soft Comput., 2022)

Workflow provenance in the lifecycle of scientific machine learning. - Renan Souza 001; Leonardo Guerreiro Azevedo; Vítor Lourenço; Elton F. S. Soares; Raphael Thiago; Rafael Brandão 001; Daniel Civitarese; Emilio Vital Brazil; Márcio Ferreira Moreno; Patrick Valduriez; Marta Mattoso; Renato Cerqueira; et al. (Concurr. Comput. Pract. Exp., 2022)

TensorBank: Tensor Lakehouse for Foundation Model Training. - Romeo Kienzler; Johannes Schmude; Naomi Simumba; Benedikt Blumenstiel; Marcus Freitag; Daiki Kimura; Zoltan Arnold Nagy; Michael Behrendt; Hendrik F. Hamann; S. Karthik Mukkavilli; Daniel Salles Civitarese (IEEE Big Data, 2023)

AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. - S. Karthik Mukkavilli; Daniel Salles Civitarese; Johannes Schmude; Johannes Jakubik; Anne Jones; Nam Nguyen; Christopher Phillips; Sujit Roy; Shraddha Singh; Campbell D. Watson; Raghu K. Ganti; Hendrik F. Hamann; et al. (CoRR, 2023)

Prithvi WxC: Foundation Model for Weather and Climate. - Johannes Schmude; Sujit Roy; Will Trojak; Johannes Jakubik; Daniel Salles Civitarese; Shraddha Singh; Julian Kuehnert; Kumar Ankur; Aman Gupta; Christopher Phillips; Romeo Kienzler; Daniela Szwarcman; et al. (CoRR, 2024)

Multi-modal graph neural networks for localized off-grid weather forecasting. - Qidong Yang; Jonathan Giezendanner; Daniel Salles Civitarese; Johannes Jakubik; Eric Schmitt; Anirban Chandra; Jeremy Vila; Detlef Hohl; Christopher Hill; Campbell D. Watson; Sherrie Wang (CoRR, 2024)

Enhancing operational wind downscaling capabilities over Canada: Application of a Conditional Wasserstein GAN methodology. - Jorge Luis Guevara Diaz; Victor Nascimento; Johannes Schmude; Daniel Salles Civitarese; Simon Corbeil-Letourneau; Madalina Surcel; Dominique Brunet (CoRR, 2024)