Daisy Zhe Wang
Hivatkozott rá
Hivatkozott rá
Webtables: exploring the power of tables on the web
MJ Cafarella, A Halevy, DZ Wang, E Wu, Y Zhang
Proceedings of the VLDB Endowment 1 (1), 538-549, 2008
The MADlib analytics library: or MAD skills, the SQL
JM Hellerstein, C Ré, F Schoppmann, DZ Wang, E Fratkin, A Gorajek, ...
Proceedings of the VLDB Endowment 5 (12), 1700-1711, 2012
Uncovering the Relational Web.
MJ Cafarella, AY Halevy, Y Zhang, DZ Wang, E Wu
WebDB, 1-6, 2008
MySurgeryRisk: development and validation of a machine-learning risk algorithm for major complications and death after surgery
A Bihorac, T Ozrazgat-Baslanti, A Ebadi, A Motaei, M Madkour, ...
Annals of surgery 269 (4), 652, 2019
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
DZ Wang, E Michelakis, M Garofalakis, JM Hellerstein
Proceedings of the VLDB Endowment 1 (1), 340-351, 2008
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
A Sadeghian, M Armandpour, P Ding, DZ Wang
Advances in Neural Information Processing Systems, 15321-15331, 2019
Knowledge expansion over probabilistic knowledge bases
Y Chen, DZ Wang
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases
Y Chen, S Goldberg, DZ Wang, SS Johri
Ten years of webtables
M Cafarella, A Halevy, H Lee, J Madhavan, C Yu, DZ Wang, E Wu
Proceedings of the VLDB Endowment 11 (12), 2140-2149, 2018
Functional Dependency Generation and Applications in Pay-As-You-Go Data Integration Systems.
DZ Wang, XL Dong, AD Sarma, MJ Franklin, AY Halevy
WebDB, 2009
Comparing clinical judgment with the MySurgeryRisk algorithm for preoperative risk assessment: A pilot usability study
M Brennan, S Puri, T Ozrazgat-Baslanti, Z Feng, M Ruppert, ...
Surgery 165 (5), 1035-1045, 2019
ScaLeKB: scalable learning and inference over large knowledge bases
Y Chen, DZ Wang, S Goldberg
The VLDB Journal 25 (6), 893-918, 2016
Hybrid in-database inference for declarative information extraction
DZ Wang, MJ Franklin, M Garofalakis, JM Hellerstein, ML Wick
Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011
Probabilistic Data Management for Pervasive Computing: The Data Furnace Project.
MN Garofalakis, KP Brown, MJ Franklin, JM Hellerstein, DZ Wang, ...
IEEE Data Eng. Bull. 29 (1), 57-63, 2006
A data science challenge for converting airborne remote sensing data into ecological information
S Marconi, SJ Graves, D Gong, MS Nia, M Le Bras, BJ Dorr, P Fontana, ...
PeerJ 6, e5843, 2019
Querying probabilistic information extraction
DZ Wang, MJ Franklin, M Garofalakis, JM Hellerstein
Proceedings of the VLDB Endowment 3 (1-2), 1057-1067, 2010
ChronoR: rotation based temporal knowledge graph embedding
A Sadeghian, M Armandpour, A Colas, DZ Wang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6471-6479, 2021
Automatic knowledge base construction using probabilistic extraction, deductive reasoning, and human feedback
DZ Wang, Y Chen, S Goldberg, C Grant, K Li
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction …, 2012
Automatic semantic edge labeling over legal citation graphs
A Sadeghian, L Sundaram, DZ Wang, WF Hamilton, K Branting, C Pfeifer
Artificial Intelligence and Law 26 (2), 127-144, 2018
Probabilistic declarative information extraction
DZ Wang, E Michelakis, MJ Franklin, M Garofalakis, JM Hellerstein
2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 173-176, 2010
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Cikkek 1–20