Estruturação de um sistema de simulação de instrumentos de medição. - Carlos Alberto Flesch (2001)

Applying Bayesian networks to performance forecast of innovation projects: A case study of transformational leadership influence in organizations oriented by projects. - Marco Aurélio de Oliveira; Osmar Possamai; Luiz V. O. Dalla Valentina; Carlos Alberto Flesch (Expert Syst. Appl., 2012)

Fuzzy-Bayesian network for refrigeration compressor performance prediction and test time reduction. - Cesar A. Penz; Carlos Alberto Flesch; Silvia M. Nassar; Rodolfo César Costa Flesch; Marco Aurélio de Oliveira (Expert Syst. Appl., 2012)

Modeling the leadership - project performance relation: radial basis function, Gaussian and Kriging methods as alternatives to linear regression. - Marco Aurélio de Oliveira; Osmar Possamai; Luiz V. O. Dalla Valentina; Carlos Alberto Flesch (Expert Syst. Appl., 2013)

Steady-State Inference in Performance Tests of Refrigeration Compressors Using ANN Ensemble. - Cesar A. Penz; Carlos Alberto Flesch; João Paulo Rossetto (AIAI, 2015)

Reservoir computing for detection of steady state in performance tests of compressors. - Eric Aislan Antonelo; Carlos Alberto Flesch; Filipe Schmitz (Neurocomputing, 2018)

Measurement of Refrigeration Capacity of Compressors With Metrological Reliability Using Artificial Neural Networks. - Rodrigo Coral; Carlos Alberto Flesch; Rodolfo César Costa Flesch (IEEE Trans. Ind. Electron., 2019)

Data-Driven Soft Sensor for the Estimation of Sound Power Levels of Refrigeration Compressors Through Vibration Measurements. - Ahryman Seixas Busse de Siqueira Nascimento; Rodolfo César Costa Flesch; Carlos Alberto Flesch (IEEE Trans. Ind. Electron., 2020)

Project performance prediction model linking agility and flexibility demands to project type. - Marco Aurélio de Oliveira; Luiz V. O. Dalla Valentina; André Hideto Futami; Osmar Possamai; Carlos Alberto Flesch (Expert Syst. J. Knowl. Eng., 2021)

Tool based on artificial neural networks to obtain cooling capacity of hermetic compressors through tests performed in production lines. - Antonio L. S. Pacheco; Rodolfo César Costa Flesch; Carlos Alberto Flesch; Lucas Arrigoni Iervolino; Vinicius T. Barros (Expert Syst. Appl., 2022)