Jose Picado

According to our database, Jose Picado authored at least 18 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Scalable and Usable Relational Learning With Automatic Language Bias.

Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak, Praveen Ilango, John Davis

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Learning Over Dirty Data Without Cleaning.

Jose Picado, John Davis, Arash Termehchy, Ga Young Lee

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Logical scalability and efficiency of relational learning algorithms.

Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei

VLDB J., 2019

2018

Learning Efficiently Over Heterogeneous Databases.

Jose Picado, Arash Termehchy, Sudhanshu Pathak

Proc. VLDB Endow., 2018

Learning Efficiently Over Heterogeneous Databases: Sampling and Constraints to the Rescue.

Jose Picado, Arash Termehchy, Sudhanshu Pathak

Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018

Survivability of Cloud Databases - Factors and Prediction.

Jose Picado, Willis Lang, Edward C. Thayer

Proceedings of the 2018 International Conference on Management of Data, 2018

AutoMode: Relational Learning with Less Black Magic.

Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Markov logic networks for adverse drug event extraction from text.

Sriraam Natarajan, Vishal Bangera, Tushar Khot, Jose Picado, Anurag Wazalwar, Vítor Santos Costa, David Page, Michael Caldwell

Knowl. Inf. Syst., 2017

Towards Automatically Setting Language Bias in Relational Learning.

Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak

Proceedings of the 1st Workshop on Data Management for End-to-End Machine Learning, 2017

Schema Independent Relational Learning.

Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Representation Independent Data Analytics.

Jose Picado

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016

Schema Independent and Scalable Relational Learning By Castor.

Jose Picado, Parisa Ataei, Arash Termehchy, Alan Fern

Proc. VLDB Endow., 2016

Toward Representation Independent Analytics over Structured Data.

Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Schema Independent Relational Learning.

Jose Picado, Arash Termehchy, Alan Fern

CoRR, 2015

2014

Representation Independent Analytics Over Structured Data.

Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun

CoRR, 2014

Toward General Similarity Search Over Graphs.

Yodsawalai Chodpathumwan, Arash Termehchy, Yizhou Sun, Amirhossein Aleyasen, Jose Picado

Proceedings of the Second International Workshop on Graph Data Management Experiences and Systems, 2014

Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge.

Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher Ré, Jude W. Shavlik

Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

2013

Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text.

Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher Ré, Jude W. Shavlik

Proceedings of the Statistical Relational Artificial Intelligence, 2013