Nathan Hodas
Nathan Hodas
Verified email at pnnl.gov
Title
Cited by
Cited by
Year
Deep learning for computational chemistry
GB Goh, NO Hodas, A Vishnu
Journal of computational chemistry 38 (16), 1291-1307, 2017
2792017
The Simple Rules of Social Contagion
N Hodas, K Lerman
Scientific Reports 4 (4343), 2014
1662014
How limited visibility and divided attention constrain social contagion
NO Hodas
SocialCom 2012, 2012
155*2012
Separating facts from fiction: Linguistic models to classify suspicious and trusted news posts on twitter
S Volkova, K Shaffer, JY Jang, N Hodas
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
1392017
Friendship paradox redux: Your friends are more interesting than you
NO Hodas, F Kooti, K Lerman
arXiv preprint arXiv:1304.3480, 2013
1002013
Chemception: a deep neural network with minimal chemistry knowledge matches the performance of expert-developed QSAR/QSPR models
GB Goh, C Siegel, A Vishnu, NO Hodas, N Baker
arXiv preprint arXiv:1706.06689, 2017
972017
Learning deep neural network representations for Koopman operators of nonlinear dynamical systems
E Yeung, S Kundu, N Hodas
2019 American Control Conference (ACC), 4832-4839, 2019
842019
Asymmetry in RNA pseudoknots: observation and theory
DP Aalberts, NO Hodas
Nucleic acids research 33 (7), 2210-2214, 2005
632005
Few-shot learning with metric-agnostic conditional embeddings
N Hilliard, L Phillips, S Howland, A Yankov, CD Corley, NO Hodas
arXiv preprint arXiv:1802.04376, 2018
512018
Smiles2vec: An interpretable general-purpose deep neural network for predicting chemical properties
GB Goh, NO Hodas, C Siegel, A Vishnu
arXiv preprint arXiv:1712.02034, 2017
412017
How much chemistry does a deep neural network need to know to make accurate predictions?
GB Goh, C Siegel, A Vishnu, N Hodas, N Baker
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1340-1349, 2018
342018
Using social media to predict the future: a systematic literature review
L Phillips, C Dowling, K Shaffer, N Hodas, S Volkova
arXiv preprint arXiv:1706.06134, 2017
342017
Using rule-based labels for weak supervised learning: a ChemNet for transferable chemical property prediction
GB Goh, C Siegel, A Vishnu, N Hodas
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
272018
A koopman operator approach for computing and balancing gramians for discrete time nonlinear systems
E Yeung, Z Liu, NO Hodas
2018 Annual American Control Conference (ACC), 337-344, 2018
222018
Disentangling the Lexicons of Disaster Response in Twitter
NO Hodas, G Ver Steeg, J Harrison, S Chikkagoudar, E Bell, CD Corley
Proceedings of the 24th International Conference on World Wide Web, 2015
222015
Network weirdness: Exploring the origins of network paradoxes
F Kooti, NO Hodas, K Lerman
arXiv preprint arXiv:1403.7242, 2014
202014
Efficient computation of optimal oligo–RNA binding
NO Hodas, DP Aalberts
Nucleic acids research 32 (22), 6636-6642, 2004
202004
Shapeshop: Towards understanding deep learning representations via interactive experimentation
F Hohman, N Hodas, DH Chau
Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017
192017
Microscopic structure and dynamics of air/water interface by computer simulations—comparison with sum-frequency generation experiments
Y Wang, NO Hodas, Y Jung, RA Marcus
Phys. Chem. Chem. Phys. 13 (12), 5388-5393, 2011
172011
Attention and visibility in an information-rich world
NO Hodas, K Lerman
2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2013
162013
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