Justine Bonnot

According to our database, Justine Bonnot authored at least 12 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Imbalanced classification with tpg genetic programming: impact of problem imbalance and selection mechanisms.

Nicolas Sourbier, Justine Bonnot, Frédéric Majorczyk, Olivier Gesny, Thomas Guyet, Maxime Pelcat

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2020

Polynomial Approximation with Non-Uniform Segmentation for Bivariate Functions.

Mathieu Percelay, Justine Bonnot, Florian Arrestier, Daniel Ménard

Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Fast Kriging-based Error Evaluation for Approximate Computing Systems.

Justine Bonnot, Daniel Ménard, Karol Desnos

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Accuracy Evaluation Based on Simulation for Finite Precision Systems Using Inferential Statistics.

Justine Bonnot, Karol Desnos, Daniel Ménard

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Algorithm-level approximation for fast (or not) embedded stereovision algorithm.

Justine Bonnot, Karol Desnos, Daniel Ménard

Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, 2018

Stochastic Modeling to Accelerate Approximate Operators Simulation.

Justine Bonnot, Karol Desnos, Daniel Ménard

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

A Fast and Fuzzy Functional Simulator of Inexact Arithmetic Operators for Approximate Computing Systems.

Justine Bonnot, Karol Desnos, Maxime Pelcat, Daniel Ménard

Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

Cassis: Characterization with Adaptive Sample- Size Inferential Statistics Applied to Inexact Circuits.

Justine Bonnot, Vincent Camus, Karol Desnos, Daniel Ménard

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Smart search space reduction for approximate computing: A low energy HEVC encoder case study.

Alexandre Mercat, Justine Bonnot, Maxime Pelcat, Karol Desnos, Wassim Hamidouche, Daniel Ménard

J. Syst. Archit., 2017

Exploiting computation skip to reduce energy consumption by approximate computing, an HEVC encoder case study.

Alexandre Mercat, Justine Bonnot, Maxime Pelcat, Wassim Hamidouche, Daniel Ménard

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016

New evaluation scheme for software function approximation with non-uniform segmentation.

Justine Bonnot, Erwan Nogues, Daniel Ménard

Proceedings of the 24th European Signal Processing Conference, 2016

New non-uniform segmentation technique for software function evaluation.

Justine Bonnot, Erwan Nogues, Daniel Ménard

Proceedings of the 27th IEEE International Conference on Application-specific Systems, 2016