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Modèles de Survie : Règle de Score Appropriée et Optimisation Stochastique avec Risques Concurrentiels
2025-06-12 · 19:45
Julie Alberge
– doctorante dans l'équipe SODA
@ Inria Paris Saclay
Julie Alberge, doctorante dans l'équipe SODA, à Inria Paris Saclay. Julie présentera dans cette intervention une nouvelle règle de score pour les risques concurrentiels et introduit SurvivalBoost, un modèle de gradient boosting surpassant 12 modèles de pointe en performance et rapidité. |
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Les Essentiels d'OpenCV
2025-06-12 · 19:15
Irina Nikulina
– Ingénieure Senior en Machine Learning
Cette présentation offre une introduction pratique à OpenCV, l'une des bibliothèques les plus largement utilisées pour la vision par ordinateur en Python. |
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54. Paris Women in Machine Learning & Data Science @leboncoin
2025-06-12 · 17:00
The Women in Machine Learning & Data Science (WiMLDS) Meetup aims to inspire, educate, regardless of gender, and support women and gender minorities in the field. All genders may attend our meetups. Agenda 18:50 - arrival Please be on time. To respect our speakers, the doors will close once the talks have started. --- 19:00 - Launch of the evening by Paris WiMLDS meetup team & leboncoin --- 19:15 - OpenCV Essentials: From Basics to Small Projects, by Irina Nikulina, Senior ML/CV Engineer. Abstract: This presentation offers a practical introduction to OpenCV, one of the most widely used libraries for computer vision in Python. We'll explore essential tools and techniques useful for data scientists and engineers, and walk through two hands-on projects that demonstrate how OpenCV can be applied to real-world visual tasks. 19:45 - Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks, by Julie Alberge, phd Student in SODA team, at inria Paris Saclay. Abstract : When dealing with right-censored data, where some outcomes are missing due to a limited observation period, survival analysis focuses on predicting the time until an event of interest occurs. Multiple classes of outcomes lead to a classification variant: predicting the most likely event, an area known as competing risks. Here, we present a new strictly proper separable scoring rule to handle competing risks. Then, we propose SurvivalBoost, a gradient boosting trees implemented with the previous loss that outperforms 12 state-of-the-art models across several metrics, both in competing risks and survival settings, and with faster computation times compared to existing methods. 20:15 - No Capes Needed: The Real Superpowers of Women in Tech, by Aurélie Giard-Jacquet, AI practionner and tech podcaster. Abstract: You want to know what a real superpower looks like? It’s not flying. Not invisibility. It’s knowing how to code. Because when you master machine learning, when you understand data science - you don’t just solve problems. You choose which problems are worth solving. You get to decide whether we train models to sell sneakers... or to detect cancer. You get to build tools that empower - not exploit. That’s not soft power. That’s real power. And the world needs more women to claim it. 20:45 - Cocktail & Networking The cocktail is sponsored by leboncoin. --- After the meet-up, a summary be available on our Medium page : https://wimlds-paris.medium.com/ --- Code of Conduct WiMLDS is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate. Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate. Thank you for helping make this a welcoming, friendly community for all. All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct |
54. Paris Women in Machine Learning & Data Science @leboncoin
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PyLadies Paris Python Talks #18
2025-02-12 · 17:30
Dear PyLadies 💚🐍 Our next on-site event is coming on the 12th of February featuring 𓆙 Camille Brianceau & Alice Joubert from Paris Brain Institute and Irina Nikulina from Dandy**.** and continuing with ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below) 🌟Agenda (preliminary) 18h30 - 18h45 Come and take your seat 18h45 - 19h00 Welcome by PyLadies Paris and Kraken 19h00 - 19h30 An end-to-end neuroimaging analysis with Clinica & ClinicaDL by Camille Brianceau & Alice Joubert 19h30 - 20h00 Exploring Computer Vision with OpenCV and Python by Irina Nikulina 20h00 - 20h20 Lightning talks 20h20 - 22h00 Snacks and Networking 🌟 Camille Brianceau & Alice Joubert from Paris Brain Institute Talk Title: An end-to-end neuroimaging analysis with Clinica & ClinicaDL Abstract: In this talk, we will explain how Clinica and ClinicaDL can be used for neuroimaging analysis, from preprocessing to deep learning-based analysis. We will share practical examples and discuss how these tools can be applied in research and clinical contexts. About Camille: Camille works as a research engineer at the Paris Brain Institute within the Aramis Lab. Her work focuses on the development of open-source deep learning software for reproducible neuroimaging processing. About Alice: Alice is a junior python developer eager about medical topics, coming from a biology and biomedical engineering background. Currently. She works as a research engineer at the Paris Brain Institute within the Aramis lab, which develops open source software for neuroimaging. 🌟 Irina Nikulina from Dandy Talk Title: Exploring Computer Vision with OpenCV and Python Abstract: This talk introduces OpenCV, a popular open-source Python library for computer vision. We'll start with the basics, exploring key functions for working with images and videos, and then move on to its applications in machine learning and beyond. We'll also walk through a simple project example to show what you can build with OpenCV. About Irina: Irina is a Senior Machine Learning Engineer passionate about solving complex problems using AI. Over the past 4 years, She focused on developing innovative Virtual Try-On solutions for e-commerce. Recently, She started a new role as a Computer Vision Engineer, where she is working on digitizing the dental industry. Get ready for lightning talks: Many of you told us that you would like to give a talk, but your project is not mature enough. You no longer have to worry about it. Come and practice your public speaking during the 3 minutes time-slot. Some ideas on what you can talk about:
You can decide anytime before the start of lightning talks or you may want to prepare up to one slide (in pdf format) which you can send us the latest on the 11th of March to [email protected] Kraken will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚 and special thanks to Sarah, Candice and Alexandre from Kraken for all the support. Important info 1:❗For safety reasons, the venue's staff will check everyone's identity on site. 📝Please remember to bring an ID with you and register for the event with your real name and family name. Thank you!2: Please be on time. We can’t guarantee a seat once the meetup has started# 🔍 FAQ Q. I'm not female, is it ok for me to attend? A. Yes, PyLadies Paris events are open to everyone at all levels. |
PyLadies Paris Python Talks #18
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