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Julia Klawohn
Publication Activity (10 Years)
Years Active: 2020-2022
Publications (10 Years): 3
Top Topics
Machine Learning Models
Learning Models
Feature Subset
High Dimensionality
Top Venues
CoRR
Biomed. Signal Process. Control.
ICLR
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Publications
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Xingang Fang
,
Julia Klawohn
,
Alexander De Sabatino
,
Harsh Kundnani
,
Jonathan Ryan
,
Weikuan Yu
,
Greg Hajcak
Accurate classification of depression through optimized machine learning models on high-dimensional noisy data.
Biomed. Signal Process. Control.
71 (Part) (2022)
Garrett Honke
,
Irina Higgins
,
Nina Thigpen
,
Vladimir Miskovic
,
Katie Link
,
Sunny Duan
,
Pramod Gupta
,
Julia Klawohn
,
Greg Hajcak
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG.
ICLR
(2021)
Garrett Honke
,
Irina Higgins
,
Nina Thigpen
,
Vladimir Miskovic
,
Katie Link
,
Pramod Gupta
,
Julia Klawohn
,
Greg Hajcak
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG.
CoRR
(2020)