2 citations · 3 across the 4 of their papers we have counts for
6 papers
Verifying Quantized Neural Networks using SMT-Based Model Checking
Luiz Sena, Xidan Song, Erickson Alves +4
Artificial Neural Networks (ANNs) are being deployed for an increasing number of safety-critical applications, including autonomous cars and medical diagnosis. However, concerns ab…
Evolving Fuzzy System Applied to Battery Charge Capacity Prediction for Fault Prognostics
Murilo Osorio Camargos, Iury Bessa, Luiz A. Q. Cordovil Junior +3
This paper addresses the use of data-driven evolving techniques applied to fault prognostics. In such problems, accurate predictions of multiple steps ahead are essential for the R…
Incremental Learning and State-Space Evolving Fuzzy Control of Nonlinear Time-Varying Systems with Unknown Model
Daniel Leite, Pedro Coutinho, Iury Bessa +3
We present a method for incremental modeling and time-varying control of unknown nonlinear systems. The method combines elements of evolving intelligence, granular machine learning…
Incremental Verification of Fixed-Point Implementations of Neural Networks
Luiz Sena, Erickson Alves, Iury Bessa +2
Implementations of artificial neural networks (ANNs) might lead to failures, which are hardly predicted in the design phase since ANNs are highly parallel and their parameters are…
Incremental Bounded Model Checking of Artificial Neural Networks in CUDA
Luiz H. Sena, Iury V. Bessa, Mikhail R. Gadelha +2
Artificial Neural networks (ANNs) are powerful computing systems employed for various applications due to their versatility to generalize and to respond to unexpected inputs/patter…
Counterexample Guided Inductive Optimization Applied to Mobile Robots Path Planning (Extended Version)
Rodrigo F. Araújo, Alexandre Ribeiro, Iury V. Bessa +2
We describe and evaluate a novel optimization-based off-line path planning algorithm for mobile robots based on the Counterexample-Guided Inductive Optimization (CEGIO) technique.…