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Jose Picado
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- affiliation: Oregon State University
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Journal Articles
- 2019
- [j4]Jose Picado
, Arash Termehchy, Alan Fern, Parisa Ataei:
Logical scalability and efficiency of relational learning algorithms. VLDB J. 28(2): 147-171 (2019) - 2018
- [j3]Jose Picado, Arash Termehchy, Sudhanshu Pathak:
Learning Efficiently Over Heterogeneous Databases. Proc. VLDB Endow. 11(12): 2066-2069 (2018) - 2017
- [j2]Sriraam Natarajan, Vishal Bangera, Tushar Khot, Jose Picado, Anurag Wazalwar, Vítor Santos Costa
, David Page, Michael Caldwell
:
Markov logic networks for adverse drug event extraction from text. Knowl. Inf. Syst. 51(2): 435-457 (2017) - 2016
- [j1]Jose Picado, Parisa Ataei, Arash Termehchy, Alan Fern:
Schema Independent and Scalable Relational Learning By Castor. Proc. VLDB Endow. 9(13): 1589-1592 (2016)
Conference and Workshop Papers
- 2021
- [c12]Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak, Praveen Ilango, John Davis:
Scalable and Usable Relational Learning With Automatic Language Bias. SIGMOD Conference 2021: 1440-1451 - 2020
- [c11]Jose Picado, John Davis, Arash Termehchy, Ga Young Lee:
Learning Over Dirty Data Without Cleaning. SIGMOD Conference 2020: 1301-1316 - 2018
- [c10]Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern:
AutoMode: Relational Learning with Less Black Magic. ICDE 2018: 1553-1556 - [c9]Jose Picado, Arash Termehchy, Sudhanshu Pathak:
Learning Efficiently Over Heterogeneous Databases: Sampling and Constraints to the Rescue. DEEM@SIGMOD 2018: 10:1-10:4 - [c8]Jose Picado, Willis Lang, Edward C. Thayer:
Survivability of Cloud Databases - Factors and Prediction. SIGMOD Conference 2018: 811-823 - 2017
- [c7]Jose Picado:
Representation Independent Data Analytics. CIDR 2017 - [c6]Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak:
Towards Automatically Setting Language Bias in Relational Learning. DEEM@SIGMOD 2017: 3:1-3:4 - [c5]Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei:
Schema Independent Relational Learning. SIGMOD Conference 2017: 929-944 - 2016
- [c4]Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun:
Toward Representation Independent Analytics over Structured Data. ICDM Workshops 2016: 357-360 - 2014
- [c3]Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher Ré, Jude W. Shavlik:
Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge. ILP 2014: 92-107 - [c2]Yodsawalai Chodpathumwan, Arash Termehchy, Yizhou Sun, Amirhossein Aleyasen, Jose Picado:
Toward General Similarity Search Over Graphs. GRADES 2014: 12:1-12:4 - 2013
- [c1]Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher Ré, Jude W. Shavlik:
Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text. StarAI@AAAI 2013
Informal and Other Publications
- 2020
- [i4]Jose Picado, John Davis, Arash Termehchy, Ga Young Lee:
Learning Over Dirty Data Without Cleaning. CoRR abs/2004.02308 (2020) - 2017
- [i3]Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern:
AutoMode: Relational Learning With Less Black Magic. CoRR abs/1710.01420 (2017) - 2015
- [i2]Jose Picado, Arash Termehchy, Alan Fern:
Schema Independent Relational Learning. CoRR abs/1508.03846 (2015) - 2014
- [i1]Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun:
Representation Independent Analytics Over Structured Data. CoRR abs/1409.2553 (2014)
Coauthor Index
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