Dataflow Virtual Machine Profiling. - Vittor F. Lira; Felippe H. Cerreia; Leandro Santiago 001; Alexandre da Costa Sena; Maria Clicia Stelling de Castro; Leandro A. J. Marzulo (SBAC-PAD (Workshops), 2014)

Stack-Tagged Dataflow. - Leandro Santiago 001; Leandro A. J. Marzulo; Brunno F. Goldstein; Tiago A. O. Alves; Felipe Maia Galvão França (SBAC-PAD (Workshops), 2014)

Task Scheduling in Sucuri Dataflow Library. - Rafael J. N. Silva; Brunno F. Goldstein; Leandro Santiago 001; Alexandre da Costa Sena; Leandro A. J. Marzulo; Tiago A. O. Alves; Felipe Maia Galvão França (SBAC-PAD (Workshops), 2016)

Realizing strong PUF from weak PUF via neural computing. - Leandro Santiago 001; Vinay C. Patil; Charles B. Prado; Tiago A. O. Alves; Leandro A. J. Marzulo; Felipe M. G. França; Sandip Kundu (DFT, 2017)

Optimising loops in dynamic dataflow. - Leandro Santiago 001; Leandro A. J. Marzulo; Alexandre da Costa Sena; Tiago A. O. Alves; Felipe M. G. França (IET Circuits Devices Syst., 2017)

Efficient Testing of Physically Unclonable Functions for Uniqueness. - Leandro Santiago de Araújo; Vinay C. Patil; Leandro Augusto Justen Marzulo; Felipe Maia Galvão França; Sandip Kundu (ATS, 2019)

Hardware-Accelerated Similarity Search with Multi-Index Hashing. - Leandro Santiago de Araújo; Victor da Cruz Ferreira; Brunno Figueiroa Goldstein; Alexandre Solon Nery; Leandro Augusto Justen Marzulo; Sandip Kundu; Felipe Maia Galvão França (DASC/PiCom/DataCom/CyberSciTech, 2019)

Memory Efficient Weightless Neural Network using Bloom Filter. - Leandro Santiago de Araújo; Letícia Dias Verona; Fábio Medeiros Rangel; Fabrício Firmino de Faria; Daniel Sadoc Menasché; Wouter Caarls; Maurício Breternitz; Sandip Kundu; Priscila Machado Vieira Lima; Felipe Maia Galvão França (ESANN, 2019)

Teaching High Performance Computing through Parallel Programming Marathons. - Leandro A. J. Marzulo; Calebe P. Bianchini; Leandro Santiago 001; Victor da Cruz Ferreira; Brunno F. Goldstein; Felipe M. G. França (IPDPS Workshops, 2019)

Exploring the Equivalence between Dynamic Dataflow Model and Gamma - General Abstract Model for Multiset mAnipulation. - Rui Rodrigues de Mello Junior; Leandro Santiago de Araújo; Tiago A. O. Alves; Leandro A. J. Marzulo; Gabriel Paillard; Felipe M. G. França (IPDPS Workshops, 2019)

A Feasible FPGA Weightless Neural Accelerator. - Victor da Cruz Ferreira; Alexandre Solon Nery; Leandro A. J. Marzulo; Leandro Santiago 001; Diego Fonseca Pereira de Souza; Brunno F. Goldstein; Felipe M. G. França; Vladimir Castro Alves (ISCAS, 2019)

Design of Robust, High-Entropy Strong PUFs via Weightless Neural Network. - Leandro Santiago de Araújo; Vinay C. Patil; Charles B. Prado; Tiago A. O. Alves; Leandro A. J. Marzulo; Felipe M. G. França; Sandip Kundu (J. Hardw. Syst. Secur., 2019)

Building a portable deeply-nested implicit information flow tracking. - Leandro Santiago de Araújo; Leandro A. J. Marzulo; Tiago A. O. Alves; Felipe M. G. França; Israel Koren; Sandip Kundu (CF, 2020)

Fluid computing: interest-based communication in dataflow/multiset rewriting computing. - Rui Rodrigues de Mello Junior; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Gabriel Antoine Louis Paillard; Claudio Luis de Amorim; Felipe Maia Galvão França (EATIS, 2020)

Fast Deep Neural Networks Convergence using a Weightless Neural Model. - Alan T. L. Bacellar; Brunno F. Goldstein; Victor da Cruz Ferreira; Leandro Santiago 001; Priscila M. V. Lima; Felipe M. G. França (ESANN, 2020)

Reliability Evaluation of Compressed Deep Learning Models. - Brunno F. Goldstein; Sudarshan Srinivasan; Dipankar Das 002; Kunal Banerjee 001; Leandro Santiago de Araújo; Victor da Cruz Ferreira; Alexandre Solon Nery; Sandip Kundu; Felipe M. G. França (LASCAS, 2020)

Weightless Neural Networks as Memory Segmented Bloom Filters. - Leandro Santiago 001; Letícia Dias Verona; Fábio Medeiros Rangel; Fabrício Firmino de Faria; Daniel S. Menasché; Wouter Caarls; Maurício Breternitz Jr.; Sandip Kundu; Priscila M. V. Lima; Felipe M. G. França (Neurocomputing, 2020)

Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications. - Jae Young Do; Victor da Cruz Ferreira; Hossein Bobarshad; Mahdi Torabzadehkashi; Siavash Rezaei; Ali Heydarigorji; Diego Fonseca Pereira de Souza; Brunno F. Goldstein; Leandro Santiago 001; Min Soo Kim 009; Priscila M. V. Lima; Felipe M. G. França; et al. (ACM Trans. Storage, 2020)

Gamma - General Abstract Model for Multiset mAnipulation and dynamic dataflow model: An equivalence study. - Rui Rodrigues de Mello Junior; Leandro Santiago de Araújo; Tiago A. O. Alves; Leandro A. J. Marzulo; Gabriel A. L. Paillard; Felipe M. G. França (Concurr. Comput. Pract. Exp., 2021)

Weightless Neural Networks for Efficient Edge Inference. - Zachary Susskind; Aman Arora 001; Igor D. S. Miranda; Luis Armando Quintanilla Villon; Rafael Fontella Katopodis; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Priscila M. V. Lima; Felipe M. G. França; Maurício Breternitz; Lizy K. John (PACT, 2022)

LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks. - Igor D. S. Miranda; Aman Arora 001; Zachary Susskind; Luis Armando Quintanilla Villon; Rafael Fontella Katopodis; Diego Leonel Cadette Dutra; Leandro Santiago de Araújo; Priscila M. V. Lima; Felipe M. G. França; Lizy K. John; Maurício Breternitz (ASAP, 2022)

Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks. - Alan T. L. Bacellar; Zachary Susskind; Luis A. Q. Villon; Igor D. S. Miranda; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Maurício Breternitz Jr.; Lizy K. John; Priscila M. V. Lima; Felipe M. G. França (ESANN, 2022)

Pruning Weightless Neural Networks. - Zachary Susskind; Alan T. L. Bacellar; Aman Arora 001; Luis A. Q. Villon; Renan Mendanha; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Priscila M. V. Lima; Felipe M. G. França; Igor D. S. Miranda; Maurício Breternitz Jr.; Lizy K. John (ESANN, 2022)

A WiSARD-based conditional branch predictor. - Luis A. Q. Villon; Zachary Susskind; Alan T. L. Bacellar; Igor D. S. Miranda; Leandro Santiago de Araújo; Priscila M. V. Lima; Maurício Breternitz Jr.; Lizy K. John; Felipe M. G. França; Diego Leonel Cadette Dutra (ESANN, 2022)

GSink - A Runtime for Gamma Programs and its CGRA Mapping Proposal. - Rui Rodrigues de Mello Junior; Gabriel Antoine Louis Paillard; Leandro Santiago de Araújo; Pedro C. Diniz; Felipe M. G. França (IPDPS Workshops, 2023)

A conditional branch predictor based on weightless neural networks. - Luis A. Q. Villon; Zachary Susskind; Alan T. L. Bacellar; Igor D. S. Miranda; Leandro Santiago de Araújo; Priscila M. V. Lima; Maurício Breternitz; Lizy K. John; Felipe M. G. França; Diego Leonel Cadette Dutra (Neurocomputing, 2023)

ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks. - Zachary Susskind; Aman Arora 001; Igor D. S. Miranda; Alan T. L. Bacellar; Luis A. Q. Villon; Rafael Fontella Katopodis; Leandro Santiago de Araújo; Diego L. C. Dutra; Priscila M. V. Lima; Felipe M. G. França; Maurício Breternitz; Lizy K. John (ACM Trans. Archit. Code Optim., 2023)

Time series forecasting for multidimensional telemetry data based on Generative Adversarial Network in a Digital Twin. - Joao Carmo de Almeida Neto; Leandro Santiago de Araújo; Leopoldo A. D. Lusquino Filho; Claudio Miceli de Farias (J. Comput. Sci., 2025)

Time series forecasting for multidimensional telemetry data using GAN and BiLSTM in a Digital Twin. - Joao Carmo de Almeida Neto; Claudio Miceli de Farias; Leandro Santiago de Araújo; Leopoldo A. D. Lusquino Filho (CoRR, 2025)