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Google Scholar Research Papers

  1. (Co-Author)Provost, S. with Tighe, D., Ho, M., Puglia, F., McMahon, J., 2023. Risk Adjusted Cumulative Sum chart methodology to monitor of free flap failure rates in the QOMS national audit. British Journal of Oral and Maxillofacial Surgery VOLUME 61, ISSUE 10, E5.

  2. (Co-Author)Provost, S. with Tighe, D., Sasson, I., Ho, M., 2023. Technical appendix-Validating risk-adjustment models used in QOMS. British Journal of Oral and Maxillofacial Surgery (QOMS).

  3. (Co-Author)Provost, S. with Tighe, D., McMahon, J., Schilling, C., Ho, M., and Freitas, A., 2022. Machine learning methods applied to risk adjustment of cumulative sum chart methodology to audit free flap outcomes after head and neck surgery. British Journal of Oral and Maxillofacial Surgery, 60(10), pp.1353-1361.

  4. (Co-Author)Provost, S. with Tighe, D., Tekeli, K., Gouk, T., Smith, J., Ho, M., Moody, A., and Walsh, S., Freitas, A., 2023. Machine learning methods applied to audit of surgical margins after curative surgery for facial (non-melanoma) skin cancer. British Journal of Oral and Maxillofacial Surgery, 61(1), pp.94-100.

Medium Blogs

Medium Blogs

  1. Provost, S., Introduction to Automated Machine Learning with Auto-Sklearn ⚙️.

  2. Provost, S., Diversity and a novel Deep Learning model called Deep Forest: Applying an Important Concept to a Promising Framework.

  3. Provost, S., Classification of Sleep-Wake states with the use of a novel Deep-Learning approach.

  4. Provost, S., Michele, L., Classification of Sleep-Wake states with the use of a novel Deep-Learning approach.

  5. Provost, S., Michele, L., Computer Science Students take a step in the sleep-medicine field with Actigraphy.

  6. More can be seen here.

Provost Simon's Projects

auto-sklong icon auto-sklong

Auto-Scikit-Longitudinal (Auto-Sklong) is an automated machine learning (AutoML) library designed to analyse longitudinal data (Classification tasks focussed as of today) using various search methods. Namely, Bayesian Optimisation via SMAC3, Asynchronous Successive Halving, Evolutionary Algorithms, and Random Search via GAMA

awesome-automl-papers icon awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

cpppool icon cpppool

[Final Grade: A] Second "Piscine" of Epitech, C++ programs to learn Object-oriented programming.

epibuild icon epibuild

Make your routines with an app instead of your laptop. Unit Tests / Norminette ...

epicture icon epicture

[Final Grade: A] A photo finder / browsing app based on Imgur API

gama icon gama

An automated machine learning tool aimed to facilitate AutoML research.

genericroundedcard icon genericroundedcard

React native component which allow the user to create a card with thumbnail or text to any corners of the (rounded) card 🔍 {Component React native}

indie_studio_2018 icon indie_studio_2018

[TOP 1 France] [Final Grade: A] Indie Studio is a bomberman clone in which we can play either in solo mode or in multiplayer mode.

rpl icon rpl

/rpl is fork (with one new feature) source from UNIX procedure that reads standard input, replaces all desired occurrences, and searches for the suffix specified in the parameters ⌨️

scikit-lexicographical-trees icon scikit-lexicographical-trees

scikit-lexicographical-trees: Based upon Scikit-Learn(-tree), it offers adapted trees and forest for Longitudinal Classification

scikit-longitudinal icon scikit-longitudinal

Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scientists, and analysts, as it provides specialist tools for dealing with repeated-measures data challenges

socialcard icon socialcard

Create your social Card, send it to you friends, crush. It's faster, newer and fresher 💳

update-to-sass icon update-to-sass

Want to update your css project into an Sass one ? Here is a generic script which do the job ⌨️

velomaggpark icon velomaggpark

Where would be the best and available parking for Tam Bike in Montpellier ? 🚴🏻‍♀️

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