Publications
Vale, R. ;
Azevedo, T. M. D. ;
Araujo, I. C. S. ;
Araujo, I. F. ;
da Silva, A. J. ;
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Low-Rank Quantum State Preparation
Araujo, I. F. ;
Blank, C. ;
Araujo, I. C. S. ;
da Silva, A. J. ;
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (Volume: 43, Issue: 1, January 2024)
Circuit-based quantum random access memory for classical data with continuous amplitudes
Veras, T. M. L. ;
Araujo, I. C. S. ;
Park, D. K. ;
da Silva, A. J. ;
IEEE Transactions on Computers, 2020.
Validation of the rapid detection approach for enhancing the electronic nose systems performance, using different deep learning models and support vector machines
Gamboa, J. C. R. ;
da Silva, A. J. ;
Araujo, I. C. S. ;
Albarracin E., E. S. ;
Duran A., C. M. ;
Sensors and Actuators B: Chemical, v. 327, p. 128921, 2021.
Quantum ensembles of trained Classifiers
Araujo, I. C. S. ;
da Silva, A. J. ;
International Joint Conference of Neural Networks, 2020, Glasgow
Deep learning models for classification of gases detected by sensor arrays of artificial nose
Araujo, I. C. S. ;
Gamboa, J. C. R. ;
da Silva, A. J. ;
Anais do XVI Encontro Nacional de Inteligência Artificial e Computacional. SBC, 2019. p. 844-855.
Quantum enhanced cross-validation for near-optimal neural networks architecture selection
dos Santos, P. G. M. ;
Araujo, R. S. ;
Araujo, I. C. S. ;
da Silva, A. J. ;
International Journal of Quantum Information, v. 16, n. 08, p. 1840005, 2018.
Quantum enhanced k-fold cross-validation
dos Santos, P. G. M. ;
Araujo, I. C. S. ;
Araujo, R. S. ;
da Silva, A. J. ;
2018 7th Brazilian Conference on Intelligent Systems (BRACIS). IEEE,2018. p. 194-199.