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Arijit Khan, Synergy of Graph Data Management and Machine Learning in Explainability and Query Answering

Arijit Khan, Synergy of Graph Data Management and Machine Learning in Explainability and Query Answering

Oct 22, 2024 | 2024, diiP, Distinguished Lectures, Events

Arijit KhanJune 5, 2024, at 4 PMOnline (Zoom) Prof Arijit Khan(Aalborg University, Denmark) Arijit Khan is an Associate Professor at Aalborg University, Denmark. His PhD is from University of California, Santa Barbara, USA, and he did a post-doc in the Systems group...
Diffusion Models Based Visual Counterfactual Explanations

Diffusion Models Based Visual Counterfactual Explanations

Oct 14, 2024 | 2024, Computer Science, diiP, Masters Internship

2024 Masters Projects @Computer Science     #Visual counterfactual explanations #Diffusion Models #Identification of subtle phenotypes Project Summary to be updated   Valerie Mezger Projects in the same discipline Diffusion Models Based Visual...
2024 diiP Projects Day

2024 diiP Projects Day

Oct 11, 2024 | 2024, DIAI, diiP, Events, Masters Internship, News, PhD Scholarships, Projects Day, Strategic projects

Date: Wednesday, December 4th Time: 9 AM to 5:30 PM Location: Vulpian Amphitheater, 12 rue de l’École de Médecine (75006 Paris)     Register here! *Registration closes on November 11th *Free to attend       This event brings together diiP...
Modeling conditioned place preference test for evaluation of addictiveness of substances: toward experimental design optimization & smart data analysis

Modeling conditioned place preference test for evaluation of addictiveness of substances: toward experimental design optimization & smart data analysis

Oct 10, 2024 | 2024, Biology, diiP, Masters Internship

2024 Master’s Projects @Biology Project Summary Emmanuel Curisemmanuel.curis@u-paris.fr – Statisticien at Hôpital Lariboisière- Maître de conférences biomathématiques, biostatistiques at Université Paris Cité (Faculté de pharmacie) David Tseitline Nadia...
Deep Mendelian Randomization: explaining causality between different hereditary traits at genome-wide scale

Deep Mendelian Randomization: explaining causality between different hereditary traits at genome-wide scale

Oct 10, 2024 | 2024, diiP, Masters Internship, Mathematics/Statistics

2024 Master’s Projects@Mathematics/Statistics #Mendelian Randomization#Deep Learning#Double Machine Learning#Genomics#Pleiotropy  Project Summary Mendelian Randomization is a method that infers the causality between risk factors and diseases using genetic...
Exploring the similarities of a large bank of protein pockets in a perspective of multiple protein-ligand interactions prediction

Exploring the similarities of a large bank of protein pockets in a perspective of multiple protein-ligand interactions prediction

Oct 10, 2024 | 2024, Biology, diiP, Masters Internship

2024 Master’s Projects@Biology #Drug design in silico#Protein pocket mining#Ppocket druggability prediction  Project Summary With the growing availability of data in the field of drug discovery, AI methods are promising for guiding and accelerating the search...
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