Artigos com autorizações de acesso público - Brian GallagherSaiba mais
2 artigos não disponíveis publicamente
Using semantic graphs to detect overlapping target events and story lines from newspaper articles
Y Wei, L Singh, D Buttler, B Gallagher
International Journal of Data Science and Analytics 5, 41-60, 2018
Autorizações: US National Science Foundation, US Department of Energy
Generating Local Explanations of Network Anomalies via Score Decomposition
T La Fond, J Neville, B Gallagher
Lawrence Livermore National Laboratory (LLNL), Livermore, CA, 2016
Autorizações: US Department of Energy
29 artigos disponíveis publicamente
Network structure inference, a survey: Motivations, methods, and applications
I Brugere, B Gallagher, TY Berger-Wolf
ACM Computing Surveys (CSUR) 51 (2), 1-39, 2018
Autorizações: US National Science Foundation, US Department of Energy
DeltaCon Principled Massive-Graph Similarity Function with Attribution
D Koutra, N Shah, JT Vogelstein, B Gallagher, C Faloutsos
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (3), 1-43, 2016
Autorizações: US Department of Energy
Reliable and explainable machine-learning methods for accelerated material discovery
B Kailkhura, B Gallagher, S Kim, A Hiszpanski, TYJ Han
npj Computational Materials 5 (1), 108, 2019
Autorizações: US Department of Energy
Explainable machine learning in materials science
X Zhong, B Gallagher, S Liu, B Kailkhura, A Hiszpanski, TYJ Han
npj Computational Materials 8 (1), 204, 2022
Autorizações: US Department of Energy
Nanomaterial synthesis insights from machine learning of scientific articles by extracting, structuring, and visualizing knowledge
AM Hiszpanski, B Gallagher, K Chellappan, P Li, S Liu, H Kim, J Han, ...
Journal of chemical information and modeling 60 (6), 2876-2887, 2020
Autorizações: US Department of Energy
Generating Graph Snapshots from Streaming Edge Data
S Soundarajan, A Tamersoy, EB Khalil, T Eliassi-Rad, DH Chau, ...
Proceedings of the 25th International Conference Companion on World Wide Web …, 2016
Autorizações: US National Science Foundation
Predicting compressive strength of consolidated molecular solids using computer vision and deep learning
B Gallagher, M Rever, D Loveland, TN Mundhenk, B Beauchamp, ...
Materials & Design 190, 108541, 2020
Autorizações: US Department of Energy
A Strategic Approach to Machine Learning for Material Science: How to Tackle Real-World Challenges and Avoid Pitfalls
P Karande, B Gallagher, TYJ Han
Chemistry of Materials 34 (17), 7650-7665, 2022
Autorizações: US Department of Energy
ε-WGX: Adaptive Edge Probing for Enhancing Incomplete Networks
S Soundarajan, T Eliassi-Rad, B Gallagher, A Pinar
Proceedings of the 2017 ACM on Web Science Conference, 161-170, 2017
Autorizações: US National Science Foundation, US Department of Energy, US Department of …
MaxReach: Reducing network incompleteness through node probes
S Soundarajan, T Eliassi-Rad, B Gallagher, A Pinar
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
Autorizações: US National Science Foundation, US Department of Energy
Overlapping target event and story line detection of online newspaper articles
Y Wei, L Singh, B Gallagher, D Buttler
2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016
Autorizações: US National Science Foundation, US Department of Energy
Designing size consistent statistics for accurate anomaly detection in dynamic networks
TL Fond, J Neville, B Gallagher
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (4), 1-49, 2018
Autorizações: US National Science Foundation, US Department of Energy
A Supervised Learning Framework for Arbitrary Lagrangian-Eulerian Simulations
M Jiang, B Gallagher, J Kallman, D Laney
The 15th IEEE International Conference on Machine Learning and Applications …, 2016
Autorizações: US Department of Energy
Maxoutprobe: An algorithm for increasing the size of partially observed networks
S Soundarajan, T Eliassi-Rad, B Gallagher, A Pinar
arXiv preprint arXiv:1511.06463, 2015
Autorizações: US Department of Energy
Accurate parameterization of the kinetic energy functional
S Kumar, EL Borda, B Sadigh, S Zhu, S Hamel, B Gallagher, V Bulatov, ...
The Journal of Chemical Physics 156 (2), 2022
Autorizações: US Department of Energy
A study of real-world micrograph data quality and machine learning model robustness
X Zhong, B Gallagher, K Eves, E Robertson, TN Mundhenk, TYJ Han
npj Computational Materials 7 (1), 161, 2021
Autorizações: US Department of Energy
Industrial control system device classification using network traffic features and neural network embeddings
I Chakraborty, BM Kelley, B Gallagher
Array 12, 100081, 2021
Autorizações: US Department of Energy
A deep learning framework for mesh relaxation in arbitrary Lagrangian-Eulerian simulations
M Jiang, B Gallagher, N Mandell, A Maguire, K Henderson, G Weinert
Applications of Machine Learning 11139, 168-182, 2019
Autorizações: US Department of Energy, US Department of Defense
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