Artículos con órdenes de acceso público - Kathryn LeonardMás información
No disponibles en ningún lugar: 2
Interdisciplinary Approaches to Automated Obstructive Sleep Apnea Diagnosis Through High-Dimensional Multiple Scaled Data Analysis
G Heo, K Leonard, X Wang, Y Zhou
Research in Data Science, 81-107, 2019
Órdenes: US National Science Foundation, Natural Sciences and Engineering Research …
Geometry-Based Classification for Automated Schizophrenia Diagnosis
R Aroutiounian, K Leonard, R Moreno, R Teufel
Research in Data Science, 199-209, 2019
Órdenes: US National Science Foundation
Disponibles en algún lugar: 7
Skelneton 2019: Dataset and challenge on deep learning for geometric shape understanding
I Demir, C Hahn, K Leonard, G Morin, D Rahbani, A Panotopoulou, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Órdenes: US National Science Foundation
The 2d shape structure dataset: A user annotated open access database
A Carlier, K Leonard, S Hahmann, G Morin, M Collins
Computers & Graphics 58, 23-30, 2016
Órdenes: US National Science Foundation
A 2d shape structure for decomposition and part similarity
K Leonard, G Morin, S Hahmann, A Carlier
2016 23rd International Conference on Pattern Recognition (ICPR), 3216-3221, 2016
Órdenes: US National Science Foundation, European Commission
On large-scale dynamic topic modeling with nonnegative CP tensor decomposition
M Ahn, N Eikmeier, J Haddock, L Kassab, A Kryshchenko, K Leonard, ...
Advances in Data Science, 181-210, 2021
Órdenes: US National Science Foundation
Semi-supervised nonnegative matrix factorization for document classification
J Haddock, L Kassab, S Li, A Kryshchenko, R Grotheer, E Sizikova, ...
2021 55th Asilomar Conference on Signals, Systems, and Computers, 1355-1360, 2021
Órdenes: US National Science Foundation
ChatGPT translation of program code for image sketch abstraction
Y Kumar, Z Gordon, O Alabi, J Li, K Leonard, L Ness, P Morreale
Applied Sciences 14 (3), 992, 2024
Órdenes: US National Science Foundation
Perceptually grounded quantification of 2D shape complexity
D Bazazian, B Magland, C Grimm, E Chambers, K Leonard
The Visual Computer 38 (9), 3351-3363, 2022
Órdenes: US National Science Foundation
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