| A Collection of Features for Semantic Graphs T Eliassi-Rad, IK Fodor, B Gallagher Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2007 | 1 | 2007 |
| 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 | 6 | 2019 |
| A Guide to Selecting a Network Similarity Method S Soundarajan, T Eliassi-Rad, B Gallagher | 81 | 2014 |
| 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 | 17 | 2022 |
| 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 | 8 | 2021 |
| 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 | 11 | 2016 |
| 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 | 7 | 2022 |
| Accurate parameterization of the kinetic energy functional for calculations using exact-exchange S Kumar, B Sadigh, S Zhu, P Suryanarayana, S Hamel, B Gallagher, ... The Journal of Chemical Physics 156 (2), 2022 | 4 | 2022 |
| ADAGE: A Framework for Generating Adaptable Intervals from Streaming Edges S Soundarajan, A Tamersoy, E Khalil, DH Chau, T Eliassi-Rad, ... | | |
| An examination of experimental methodology for classifiers of relational data B Gallagher, T Eliassi-Rad Data Mining Workshops, 2007. ICDM Workshops 2007. Seventh IEEE International …, 2007 | 9 | 2007 |
| Anomaly Detection in Dynamic Networks of Varying Size T La Fond, J Neville, B Gallagher arXiv preprint arXiv:1411.3749, 2014 | 9 | 2014 |
| Anomaly detection in networks with changing trends T LaFond, J Neville, B Gallagher ODD2 Workshop, 2014 | 18 | 2014 |
| API Requirements for Dynamic Graph Prediction B Gallagher, T Eliassi-Rad Lawrence Livermore National Laboratory (LLNL), Livermore, CA, 2006 | | 2006 |
| Attributed graph models: modeling network structure with correlated attributes JJ Pfeiffer III, S Moreno, T La Fond, J Neville, B Gallagher Proceedings of the 23rd international conference on World wide web, 831-842, 2014 | 154 | 2014 |
| Attributed Graph Models: Towards the Sharing of Relational Network Data JJP III, S Moreno, T La Fond, J Neville, B Gallagher KDD at Bloomberg 2014, 2014 | 1* | 2014 |
| Classification of http attacks: a study on the ECML/PKDD 2007 discovery challenge B Gallagher, T Eliassi-Rad Center for Advanced Signal and Image Sciences (CASIS) Workshop, 2008 | 44 | 2008 |
| Collective classification in network data P Sen, G Namata, M Bilgic, L Getoor, B Gallagher, T Eliassi-Rad AI magazine 29 (3), 93, 2008 | 4261 | 2008 |
| Correcting bias in statistical tests for network classifier evaluation T Wang, J Neville, B Gallagher, T Eliassi-Rad Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 9 | 2011 |
| Correcting evaluation bias of relational classifiers with network cross validation J Neville, B Gallagher, T Eliassi-Rad, T Wang Knowledge and Information Systems, 1-25, 2011 | 28 | 2011 |
| Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Material Science Benchmark and An Integrated Optimization Framework X Chen, T Chen, EY Olivares, K Elder, SK McCall, APP Perron, ... | | 2022 |
Tina Eliassi-RadProfessor & The Inaugural Joseph E. Aoun Chair, Northeastern University在 eliassi.org 的电子邮件经过验证
