Accelerating Kirchhoff Migration by CPU and GPU Cooperation. - Jairo Panetta; Thiago Teixeira; Paulo R. P. de Souza Filho; Carlos A. da Cunha Filho; David Sotelo; Fernando M. Roxo da Motta; Silvio Sinedino Pinheiro; Ivan Pedrosa Junior; Andre L. Romanelli Rosa; Luiz Rodolpho Monnerat; Leandro T. Carneiro; Carlos H. B. de Albrecht (SBAC-PAD, 2009)

Data Structures for Detecting Rare Variations in Time Series. - Caio Dias Valentim; Eduardo Sany Laber; David Sotelo (ECML/PKDD (2), 2012)

Accelerating Time and Depth Seismic Migration by CPU and GPU Cooperation. - Jairo Panetta; Thiago Teixeira; Paulo R. P. de Souza Filho; Carlos A. da Cunha Filho; David Sotelo; Fernando M. Roxo da Motta; Silvio Sinedino Pinheiro; Andre L. Romanelli Rosa; Luiz Rodolpho Monnerat; Leandro T. Carneiro; Carlos H. B. de Albrecht (Int. J. Parallel Program., 2012)

A linear time approximation algorithm for permutation flow shop scheduling. - Marcus Poggi; David Sotelo (Theor. Comput. Sci., 2012)

Optimization of Neural Network Training with ELM Based on the Iterative Hybridization of Differential Evolution with Local Search and Restarts. - David Sotelo; Daniela Velásquez; Carlos Cobos; Martha Mendoza; Luís Gómez (LOD, 2018)

Robust permutation flow shop total weighted completion time problem: Solution and application to the oil and gas industry. - Mario Levorato 001; David Sotelo; Rosa Figueiredo 001; Yuri Frota (Comput. Oper. Res., 2023)

B-Spline Artificial Neural Networks in Robust Induction Motor Control. - Francisco Beltrán-Carbajal; Hugo Yáñez-Badillo; Daniel Galvan-Perez; Iván Rivas-Cambero; David Sotelo; Carlos Sotelo (IEEE Access, 2024)

Efficient solutions to the m-machine robust flow shop under budgeted uncertainty. - Mario Levorato 001; David Sotelo; Rosa Figueiredo 001; Yuri Frota (Ann. Oper. Res., 2024)

Theoretical results for gas market equilibrium modeling with application to Brazil. - Steven A. Gabriel; Dominic C. Flocco; Filipe Ferreira Mazzini; David Sotelo; Kamaiaji de Souza Castor; Mario Levorato 001 (Comput. Manag. Sci., 2025)