Titouan Lorieul

发表

Uncertainty in predictions of deep learning models for fine-grained classification. (Incertitude des prédictions dans les modèles d'apprentissage profonds appliqués à la classification fine)

Titouan Lorieul, 2020 .

Static and dynamic autopsy of deep networks

Bernard Mérialdo, Antoine Ghorra, Titouan Lorieul, 2016, 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI).

The GeoLifeCLEF 2020 Dataset pdf

Christophe Botella, Maximilien Servajean, Dan Morris, 2020, ArXiv.

Categorizing plant images at the variety level: Did you say fine-grained?

Pierre Bonnet, Alexis Joly, Julien Champ, 2016, Pattern Recognit. Lett..

A Comparative Study of Fine-grained Classification Methods in the Context of the LifeCLEF Plant Identification Challenge 2015

Maximilien Servajean, Alexis Joly, Julien Champ, 2015, CLEF.

Classification Under Ambiguity: When Is Average-K Better Than Top-K? pdf

Alexis Joly, Titouan Lorieul, Dennis Shasha, 2021, ArXiv.

Set-valued classification - overview via a unified framework pdf

Evgenii Chzhen, Mohamed Hebiri, Titouan Lorieul, 2021, ArXiv.

Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images

Maximilien Servajean, Alexis Joly, Pierre Bonnet, 2021, CLEF.

LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges

Hervé Glotin, Stefan Kahl, Henning Müller, 2021, ECIR.

Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction

Hervé Glotin, Stefan Kahl, Henning Müller, 2021, CLEF.

Multi-Label Learning from Single Positive Labels

Nebojsa Jojic, Pietro Perona, Dan Morris, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research

Alexis Joly, Hervé Goëau, Laura Brenskelle, 2020, Bioscience.