Emilie Delattre

According to our database, Emilie Delattre authored at least 4 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas.

Jan Krepl, Francesco Casalegno, Emilie Delattre, Csaba Erö, Huanxiang Lu, Daniel Keller, Dimitri Rodarie, Henry Markram, Felix Schürmann

Frontiers Neuroinformatics, 2021

2019

Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers.

Yuya Tomotoshi, David Ha, Emilie Delattre, Hideyuki Watanabe, Xugang Lu, Shigeru Katagiri, Miho Ohsaki

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

2018

Optimality Analysis of Boundary-Uncertainty-Based Classifier Model Parameter Status Selection Method.

David Ha, Hideyuki Watanabe, Yuya Tomotoshi, Emilie Delattre, Shigeru Katagiri

Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, 2018

Optimal Classifier Model Status Selection using Bayes boundary uncertainty.

David Ha, Emilie Delattre, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018