Publications

A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms

Published in ArXiv, 2022

We demonstrate that the classical and quantum encoding of classical data can have a practical effect in the industry for QML methods. We compare for two datasets (real-world datasets) that QML algorithms can have an advantage compare to classical ML methods.

Recommended citation: Mancilla, Javier and Pere, Christophe (2022). "A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms." arXiv. https://arxiv.org/abs/2208.13251

Employing Feature Selection to Improve the Performance of Intrusion Detection Systems

Published in The 14th International Symposium on Foundations \& Practice of Security, 2021

This paper shows the importance of feature selection to improve the precision of classification models and the inference time in a context of cybersecurity data.

Recommended citation: Avila, Ricardo and Khoury, Raphaël and Pere, Christophe and Khanmohammadi, Kobra (2021). "Employing Feature Selection to Improve the Performance of Intrusion Detection Systems." The 14th International Symposium on Foundations \& Practice of Security. https://www.fps-2021.com/cfp/fps-2021-accepted-papers/

Estimation of Uncertainty Bounds on Disparate Treatment when using Proxies for the Protected Attribute

Published in Proceedings of the Canadian Conference on Artificial Intelligence, 2021

This paper is about the estimation of the uncertainty in models and data.

Recommended citation: Racicot, Taha and Khoury, Richard and Pere, Christophe (2021). "Estimation of Uncertainty Bounds on Disparate Treatment when using Proxies for the Protected Attribute." Proceedings of the Canadian Conference on Artificial Intelligence. https://caiac.pubpub.org/pub/ge4b0fvp/release/1

The thermal structure of the Venus atmosphere: Intercomparison of Venus Express and ground based observations of vertical temperature and density profiles

Published in Icarus, 2017

This paper is about the thermal structure of Venus atmosphere.

Recommended citation: Limaye, Sanjay S. et al. (2017). "The thermal structure of the Venus atmosphere: Intercomparison of Venus Express and ground based observations of vertical temperature and density profiles." Journal 1. 1(3). https://www.sciencedirect.com/science/article/abs/pii/S0019103516307138?via%3Dihub

Multilayer modeling of the aureole photometry during the Venus transit: comparison between SDO/HMI and VEx/SOIR data

Published in Astronomy & Astrophysics, 2016

This article is about the invalidation of the “one-layer” approach of the atmosphere of Venus

Recommended citation: Pere, C., et al.(2016). "Multilayer modeling of the aureole photometry during the Venus transit: comparison between SDO/HMI and VEx/SOIR data." A&A. 595, A115. https://www.aanda.org/articles/aa/full_html/2016/11/aa28528-16/aa28528-16.html

Study of the atmosphere of Venus with a refraction model when passing across the Sun the June, 5-6 2012

Published in HAL (French Thesis), 2016

This thesis is about looking at Venus like an exoplanet to use the refraction in order to determine the vertical temperature profile during the ingress and the egress.

Recommended citation: Pere, C., (2016). "Study of the atmosphere of Venus with a refraction model when passing across the Sun the June, 5-6 2012." Journal 1. 1(3). https://tel.archives-ouvertes.fr/tel-01477867