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Title & Speakers	Event
Event leboncoin tech accueille Paris Women in Machine Learning & Data Science 2025-06-12
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. survival analysis gradient boosting survivalboost ru00e8gle de score pour risques concurrents
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. opencv Python

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

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

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