Learning semantic models of data sources using probabilistic graphical models B Vu, C Knoblock, J Pujara The world wide web conference, 1944-1953, 2019 | 34 | 2019 |
Artificial intelligence for modeling complex systems: taming the complexity of expert models to improve decision making Y Gil, D Garijo, D Khider, CA Knoblock, V Ratnakar, M Osorio, H Vargas, ... ACM Transactions on Interactive Intelligent Systems 11 (2), 1-49, 2021 | 32 | 2021 |
D-REPR: a language for describing and mapping diversely-structured data sources to RDF B Vu, J Pujara, CA Knoblock Proceedings of the 10th International Conference on Knowledge Capture, 189-196, 2019 | 22 | 2019 |
Mint: Model integration through knowledge-powered data and process composition Y Gil, K Cobourn, E Deelman, C Duffy, R Ferreira da Silva, A Kemanian, ... | 17 | 2018 |
A graph-based approach for inferring semantic descriptions of wikipedia tables B Vu, CA Knoblock, P Szekely, M Pham, J Pujara The Semantic Web–ISWC 2021: 20th International Semantic Web Conference, ISWC …, 2021 | 13 | 2021 |
Sand: A tool for creating semantic descriptions of tabular sources B Vu, CA Knoblock European Semantic Web Conference, 63-67, 2022 | 9 | 2022 |
SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables. M Pham, CA Knoblock, M Chen, B Vu, J Pujara IJCAI, 3543-3551, 2021 | 6 | 2021 |
An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models D Garijo, D Khider, V Ratnakar, Y Gil, E Deelman, RF Da Silva, ... Proceedings of the 24th International Conference on Intelligent User …, 2019 | 4 | 2019 |
Picasso: Model-free feature visualization B Vu, I Markov arXiv preprint arXiv:2111.12795, 2021 | 1 | 2021 |
Integrating models through knowledge-powered data and process composition D Garijo, Y Gil, KM Cobourn, E Deelman, C Duffy, R Ferreira da Silva, ... AGU Fall Meeting Abstracts 2018, IN31A-02, 2018 | 1 | 2018 |
Constructing a Knowledge Graph of Historical Mining Data B Shbita, N Sharma, B Vu, F Lin, CA Knoblock | | 2024 |
Exploiting Polygon Metadata to Understand Raster Maps-Accurate Polygonal Feature Extraction F Lin, CA Knoblock, B Shbita, B Vu, Z Li, YY Chiang Proceedings of the 31st ACM International Conference on Advances in …, 2023 | | 2023 |
Music Latent Representation and Disentanglement for Genre Classification E Qasemi, B Vu, M Pham, B Shbita | | 2019 |
MINT: An intelligent interface for understanding the impacts of climate change on hydrological, agricultural and economic systems D Khider, Y Gil, KM Cobourn, E Deelman, C Duffy, R Ferreira da Silva, ... AGU Fall Meeting Abstracts 2019, PA33C-1108, 2019 | | 2019 |