Emilie Delattre

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 4

Top Topics

Support Vector Machine Svm

Supervised Learning

Gene Expression

Naive Bayes Classifier

Top Venues

Frontiers Neuroinformatics

Publications

Jan Krepl, Francesco Casalegno, Emilie Delattre, Csaba Erö, Huanxiang Lu, Daniel Keller, Dimitri Rodarie, Henry Markram, Felix Schürmann
Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas. Frontiers Neuroinformatics 15 (2021)
Yuya Tomotoshi, David Ha, Emilie Delattre, Hideyuki Watanabe, Xugang Lu, Shigeru Katagiri, Miho Ohsaki
Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers. IUKM (2019)
David Ha, Emilie Delattre, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
Optimal Classifier Model Status Selection using Bayes boundary uncertainty. MLSP (2018)
David Ha, Hideyuki Watanabe, Yuya Tomotoshi, Emilie Delattre, Shigeru Katagiri
Optimality Analysis of Boundary-Uncertainty-Based Classifier Model Parameter Status Selection Method. SPML (2018)