Arash Termehchy

Orcid: 0009-0007-2213-6303

Affiliations:
  • Oregon State University, Corvallis, OR, USA
  • University of Illinois, Urbana-Champaign, IL, USA


According to our database1, Arash Termehchy authored at least 65 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Certain and Approximately Certain Models for Statistical Learning.
Proc. ACM Manag. Data, 2024

Certain and Approximately Certain Models for Statistical Learning.
CoRR, 2024

ShiftScope: Adapting Visualization Recommendations to Users' Dynamic Data Focus.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

User Learning In Interactive Data Exploration.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Effective Entity Augmentation By Querying External Data Sources.
Proc. VLDB Endow., 2023

Exploratory Training: When Annonators Learn About Data.
Proc. ACM Manag. Data, 2023

Multi-Agent Join.
CoRR, 2023

How Does User Behavior Evolve During Exploratory Visual Analysis?
CoRR, 2023

Towards Consistent Language Models Using Declarative Constraints.
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Generating Data Augmentation Queries Using Large Language Models.
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

When Can We Ignore Missing Data in Model Training?
Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

2022
RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine.
BMC Bioinform., 2022

Exploratory training: when trainers learn.
Proceedings of the HILDA@SIGMOD 2022: Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2022

2021
A Survey on Data Cleaning Methods for Improved Machine Learning Model Performance.
CoRR, 2021

Scalable and Usable Relational Learning With Automatic Language Bias.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Structural Generalizability: The Case of Similarity Search.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
A Game-theoretic Approach to Data Interaction.
ACM Trans. Database Syst., 2020

Learning Over Dirty Data Without Cleaning.
Proceedings of the 2020 International Conference on Management of Data, 2020

Bandit join: preliminary results.
Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2020

2019
Logical scalability and efficiency of relational learning algorithms.
VLDB J., 2019

How Do Humans and Data Systems Establish a CommonQuery Language?
SIGMOD Rec., 2019

Managing Variability in Relational Databases by VDBMS.
CoRR, 2019

Integrating Information About Entities Progressively.
CoRR, 2019

Less Data Delivers Higher Search Effectiveness for Keyword Queries.
Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

2018
Cost-effective conceptual design using taxonomies.
VLDB J., 2018

Learning Efficiently Over Heterogeneous Databases.
Proc. VLDB Endow., 2018

Progressive Interactions Between Data Sources.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2018

Managing Structurally Heterogeneous Databases in Software Product Lines.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2018

Learning Efficiently Over Heterogeneous Databases: Sampling and Constraints to the Rescue.
Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018

The Data Interaction Game.
Proceedings of the 2018 International Conference on Management of Data, 2018

AutoMode: Relational Learning with Less Black Magic.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

The Data Exploration Game.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

There Is No Dichotomy between Effectiveness and Efficiency in Keyword Search over Databases.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Cost-Effective Conceptual Design Over Taxonomies.
Proceedings of the 20th International Workshop on the Web and Databases, 2017

Towards Automatically Setting Language Bias in Relational Learning.
Proceedings of the 1st Workshop on Data Management for End-to-End Machine Learning, 2017

Schema Independent Relational Learning.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

A Game-theoretic Approach to Data Interaction: A Progress Report.
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

Variational databases.
Proceedings of The 16th International Symposium on Database Programming Languages, 2017

Reaching Mutual Understanding in a Society of Humans and Database Systems.
Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016
Schema Independent and Scalable Relational Learning By Castor.
Proc. VLDB Endow., 2016

A Signaling Game Approach to Databases Querying and Interaction.
CoRR, 2016

Toward Representation Independent Analytics over Structured Data.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Towards Representation Independent Similarity Search Over Graph Databases.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

A Signaling Game Approach to Databases Querying.
Proceedings of the 10th Alberto Mendelzon International Workshop on Foundations of Data Management, 2016

2015
Cost-Effective Conceptual Design for Information Extraction.
ACM Trans. Database Syst., 2015

Universal-DB: Towards Representation Independent Graph Analytics.
Proc. VLDB Endow., 2015

Schema Independent Relational Learning.
CoRR, 2015

Representation Independent Proximity and Similarity Search.
CoRR, 2015

A Signaling Game Approach to Databases Querying and Interaction.
Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

2014
Efficient Prediction of Difficult Keyword Queries over Databases.
IEEE Trans. Knowl. Data Eng., 2014

Representation Independent Analytics Over Structured Data.
CoRR, 2014

Which concepts are worth extracting?
Proceedings of the International Conference on Management of Data, 2014

Toward General Similarity Search Over Graphs.
Proceedings of the Second International Workshop on Graph Data Management Experiences and Systems, 2014

2012
Principles of usable query interfaces
PhD thesis, 2012

Design Independent Query Interfaces.
IEEE Trans. Knowl. Data Eng., 2012

Predicting the effectiveness of keyword queries on databases.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Using structural information in XML keyword search effectively.
ACM Trans. Database Syst., 2011

How schema independent are schema free query interfaces?
Proceedings of the 27th International Conference on Data Engineering, 2011

2010
EXTRUCT: Using Deep Structural Information in XML Keyword Search.
Proc. VLDB Endow., 2010

Keyword search over key-value stores.
Proceedings of the 19th International Conference on World Wide Web, 2010

Keyword search for data-centric XML collections with long text fields.
Proceedings of the EDBT 2010, 2010

2009
Generic and effective semi-structured keyword search.
Proceedings of the First International Workshop on Keyword Search on Structured Data, 2009

Effective, design-independent XML keyword search.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2007
Maitri Demonstration: Managing Large Scale Scientific Data (Demo).
Proceedings of the Third Biennial Conference on Innovative Data Systems Research, 2007

2003
Pipelined operator tree scheduling in heterogeneous environments.
J. Parallel Distributed Comput., 2003


  Loading...