Home /
Research
Showing 895 - 900 / 904
nnU-Net for Brain Tumor Segmentation
FabianIsensee, PaulF.Jaeger, PeterM.Full....
Published date-11/02/2020
BrainTumorSegmentation, DataAugmentation, TumorSegmentation
We apply nnU-Net to the segmentation task of the BraTS 2020 challenge. The unmodified nnU-Net baseline configuration already achieves a respectable result. By incorporating BraTS-specific modifications regarding postprocessing, region-based training, …
Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets
BenjaminMurray, EricKerfoot, MarkS.Graham....
Published date-11/02/2020
The Covid Symptom Study, a smartphone-based surveillance study on COVID-19 symptoms in the population, is an exemplar of big data citizen science. Over 4.7 million participants and 189 million unique …
Biased TextRank: Unsupervised Graph-Based Content Extraction
AshkanKazemi, VerónicaPérez-Rosas, RadaMihalcea....
Published date-11/02/2020
We introduce Biased TextRank, a graph-based content extraction method inspired by the popular TextRank algorithm that ranks text spans according to their importance for language processing tasks and according to …
Instance based Generalization in Reinforcement Learning
MartinBertran, NataliaMartinez, MarianoPhielipp....
Published date-11/02/2020
Agents trained via deep reinforcement learning (RL) routinely fail to generalize to unseen environments, even when these share the same underlying dynamics as the training levels. Understanding the generalization properties …
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics
DanielHershcovich, NathanSchneider, DotanDvir....
Published date-11/02/2020
NaturalLanguageUnderstanding
Building robust natural language understanding systems will require a clear characterization of whether and how various linguistic meaning representations complement each other. To perform a systematic comparative analysis, we evaluate …
c-lasso -- a Python package for constrained sparse and robust regression and classification
LéoSimpson, PatrickL.Combettes, ChristianL.Müller....
Published date-11/02/2020
We introduce c-lasso, a Python package that enables sparse and robust linear regression and classification with linear equality constraints. The underlying statistical forward model is assumed to be of the …