E-LIB Suche - Ergebnisse für: Hodas, Nathan O.

1

Deep Learning to Generate in Silico Chemical Property Libra..:

Colby, Sean M. ; Nuñez, Jamie R. ; Hodas, Nathan O...
Analytical Chemistry. 92 (2019) 2 - p. 1720-1729 , 2019

Link: https://doi.org/10.1021/..

2

Doing the Impossible: Why Neural Networks Can Be Trained at..:

Hodas, Nathan O. ; Stinis, Panos
Frontiers in Psychology. 9 (2018) - p. , 2018

Link: https://doi.org/10.3389/..

3

Model of cognitive dynamics predicts performance on standar..:

Hodas, Nathan O. ; Hunter, Jacob ; Young, Stephen J..
Journal of Computational Social Science. 1 (2018) 2 - p. 295-312 , 2018

Link: https://doi.org/10.1007/..

4

SHARKZOR : Human in the Loop ML for User-Defined Image C..:

, In: Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion,

Pirrung, Meg ; Hilliard, Nathan ; O'Brien, Nancy... - p. 1-2 , 2018

Link: https://dl.acm.org/doi/1..

5

Deep learning for computational chemistry:

Goh, Garrett B. ; Hodas, Nathan O. ; Vishnu, Abhinav
Journal of Computational Chemistry. 38 (2017) 16 - p. 1291-1307 , 2017

Link: https://doi.org/10.1002/..

6

Disentangling the Lexicons of Disaster Response in Twitter:

, In: Proceedings of the 24th International Conference on World Wide Web,

Hodas, Nathan O. ; Ver Steeg, Greg ; Harrison, Joshua... - p. 1201-1204 , 2015

Link: https://dl.acm.org/doi/1..

7

Determination of the source of SHG verniers in zebrafish sk..:

Dempsey, William P. ; Hodas, Nathan O. ; Ponti, Aaron.
Scientific Reports. 5 (2015) 1 - p. , 2015

Link: https://doi.org/10.1038/..

8

The Simple Rules of Social Contagion:

Hodas, Nathan O. ; Lerman, Kristina
Scientific Reports. 4 (2014) 1 - p. , 2014

Link: https://doi.org/10.1038/..

9

Microscopic structure and dynamics of air/water interface b..:

Wang, Yanting ; Hodas, Nathan O. ; Jung, Yousung.
Physical Chemistry Chemical Physics. 13 (2011) 12 - p. 5388 , 2011

Link: https://doi.org/10.1039/..

10

Microscopic modeling of multi-lane highway traffic flow:

Hodas, Nathan O. ; Jagota, Anand
American Journal of Physics. 71 (2003) 12 - p. 1247-1256 , 2003

Link: https://doi.org/10.1119/..

11

One Representation to Rule Them All: Identifying Out-of-Sup..:

Kvinge, Henry ; Howland, Scott ; Courts, Nico...
http://arxiv.org/abs/2106.01423. , 2021

Link: http://arxiv.org/abs/210..

12

Adaptive Transfer Learning: a simple but effective transfer..:

Lee, Jung H ; Kvinge, Henry J ; Howland, Scott...
http://arxiv.org/abs/2111.10937. , 2021

Link: http://arxiv.org/abs/211..

13

Fuzzy Simplicial Networks: A Topology-Inspired Model to Imp..:

Kvinge, Henry ; New, Zachary ; Courts, Nico...
http://arxiv.org/abs/2009.11253. , 2020

Link: http://arxiv.org/abs/200..

14

Deep learning to generate in silico chemical property libra..:

Colby, Sean M ; Nuñez, Jamie R ; Hodas, Nathan O..
http://arxiv.org/abs/1905.08411. , 2019

Link: http://arxiv.org/abs/190..

15

Sharkzor: Interactive Deep Learning for Image Triage, Sort ..:

Pirrung, Meg ; Hilliard, Nathan ; Yankov, Artëm...
http://arxiv.org/abs/1802.05316. , 2018

Link: http://arxiv.org/abs/180..