Arash Termehchy

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 47

Top Topics

Similarity Search

Conceptual Design

Relational Learning

Top Venues

SIGMOD Conference

Proc. VLDB Endow.

Publications

Cheng Zhen, Nischal Aryal, Arash Termehchy, Amandeep Singh Chabada
Certain and Approximately Certain Models for Statistical Learning. Proc. ACM Manag. Data 2 (3) (2024)
Cheng Zhen, Nischal Aryal, Arash Termehchy, Alireza Aghasi, Amandeep Singh Chabada
Certain and Approximately Certain Models for Statistical Learning. CoRR (2024)
Sanad Saha, Nischal Aryal, Leilani Battle, Arash Termehchy
ShiftScope: Adapting Visualization Recommendations to Users' Dynamic Data Focus. SIGMOD Conference Companion (2024)
Sanad Saha, Nischal Aryal, Leilani Battle, Arash Termehchy
User Learning In Interactive Data Exploration. ICDE (2024)
Vahid Ghadakchi, Mian Xie, Arash Termehchy, Bakhtiyar Doskenov, Bharghav Srikhakollu, Summit Haque, Huazheng Wang
Multi-Agent Join. CoRR (2023)
Christopher Buss, Jasmin Mousavi, Mikhail Tokarev, Arash Termehchy, David Maier, Stefan Lee
Effective Entity Augmentation By Querying External Data Sources. Proc. VLDB Endow. 16 (11) (2023)
Cheng Zhen, Amandeep Singh Chabada, Arash Termehchy
When Can We Ignore Missing Data in Model Training? DEEM@SIGMOD (2023)
Rajesh Shrestha, Omeed Habibelahian, Arash Termehchy, Paolo Papotti
Exploratory Training: When Annonators Learn About Data. Proc. ACM Manag. Data 1 (2) (2023)
Jasmin Mousav, Arash Termehchy
Towards Consistent Language Models Using Declarative Constraints. VLDB Workshops (2023)
Jasmin Mousavi, Arash Termehchy
Towards Consistent Language Models Using Declarative Constraints. CoRR (2023)
Sanad Saha, Nischal Aryal, Leilani Battle, Arash Termehchy
How Does User Behavior Evolve During Exploratory Visual Analysis? CoRR (2023)
Christopher Buss, Jasmin Mosavi, Mikhail Tokarev, Arash Termehchy, David Maier, Stefan Lee
Generating Data Augmentation Queries Using Large Language Models. VLDB Workshops (2023)
Omeed Habibelahian, Rajesh Shrestha, Arash Termehchy, Paolo Papotti
Exploratory training: when trainers learn. HILDA@SIGMOD (2022)
E. C. Wood, Amy Glen, Lindsey G. Kvarfordt, Finn Womack, Liliana Acevedo, Timothy S. Yoon, Chunyu Ma, Veronica Flores, Meghamala Sinha, Yodsawalai Chodpathumwan, Arash Termehchy, Jared C. Roach, Luis Mendoza, Andrew S. Hoffman, Eric W. Deutsch, David Koslicki, Stephen A. Ramsey
RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine. BMC Bioinform. 23 (1) (2022)
Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak, Praveen Ilango, John Davis
Scalable and Usable Relational Learning With Automatic Language Bias. SIGMOD Conference (2021)
Yodsawalai Chodpathumwan, Arash Termehchy, Stephen A. Ramsey, Aayam Shrestha, Amy Glen, Zheng Liu
Structural Generalizability: The Case of Similarity Search. SIGMOD Conference (2021)
Ga Young Lee, Lubna Alzamil, Bakhtiyar Doskenov, Arash Termehchy
A Survey on Data Cleaning Methods for Improved Machine Learning Model Performance. CoRR (2021)
Vahid Ghadakchi, Mian Xie, Arash Termehchy
Bandit join: preliminary results. aiDM@SIGMOD (2020)
Jose Picado, John Davis, Arash Termehchy, Ga Young Lee
Learning Over Dirty Data Without Cleaning. SIGMOD Conference (2020)
Ben McCamish, Vahid Ghadakchi, Arash Termehchy, Behrouz Touri, Eduardo Cotilla Sanchez, Liang Huang, Soravit Changpinyo
A Game-theoretic Approach to Data Interaction. ACM Trans. Database Syst. 45 (1) (2020)
Jose Picado, John Davis, Arash Termehchy, Ga Young Lee
Learning Over Dirty Data Without Cleaning. CoRR (2020)
Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei
Logical scalability and efficiency of relational learning algorithms. VLDB J. 28 (2) (2019)
Parisa Ataei, Qiaoran Li, Eric Walkingshaw, Arash Termehchy
Managing Variability in Relational Databases by VDBMS. CoRR (2019)
Vahid Ghadakchi, Abtin Khodadadi, Arash Termehchy
Less Data Delivers Higher Search Effectiveness for Keyword Queries. SSDBM (2019)
Ben McCamish, Vahid Ghadakchi, Arash Termehchy, Liang Huang, Behrouz Touri
How Do Humans and Data Systems Establish a CommonQuery Language? SIGMOD Rec. 48 (1) (2019)
Ben McCamish, Christopher Buss, Arash Termehchy, David Maier
Integrating Information About Entities Progressively. CoRR (2019)
Vahid Ghadakchi, Arash Termehchy
There Is No Dichotomy between Effectiveness and Efficiency in Keyword Search over Databases. ICDE (2018)
Yodsawalai Chodpathumwan, Ali Vakilian, Arash Termehchy, Amir Nayyeri
Cost-effective conceptual design using taxonomies. VLDB J. 27 (3) (2018)
Ben McCamish, Arash Termehchy, Behrouz Touri
The Data Exploration Game. ICDE (2018)
Jose Picado, Arash Termehchy, Sudhanshu Pathak
Learning Efficiently Over Heterogeneous Databases: Sampling and Constraints to the Rescue. DEEM@SIGMOD (2018)
Parisa Ataei, Arash Termehchy, Eric Walkingshaw
Managing Structurally Heterogeneous Databases in Software Product Lines. Poly/DMAH@VLDB (2018)
Ben McCamish, Vahid Ghadakchi, Arash Termehchy, Behrouz Touri, Liang Huang
The Data Interaction Game. SIGMOD Conference (2018)
Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern
AutoMode: Relational Learning with Less Black Magic. ICDE (2018)
Ben McCamish, Arash Termehchy
Progressive Interactions Between Data Sources. Poly/DMAH@VLDB (2018)
Jose Picado, Arash Termehchy, Sudhanshu Pathak
Learning Efficiently Over Heterogeneous Databases. Proc. VLDB Endow. 11 (12) (2018)
Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern
AutoMode: Relational Learning With Less Black Magic. CoRR (2017)
Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei
Schema Independent Relational Learning. SIGMOD Conference (2017)
Arash Termehchy
Reaching Mutual Understanding in a Society of Humans and Database Systems. CIDR (2017)
Ben McCamish, Arash Termehchy, Behrouz Touri
A Game-theoretic Approach to Data Interaction: A Progress Report. HILDA@SIGMOD (2017)
Ali Vakilian, Yodsawalai Chodpathumwan, Arash Termehchy, Amir Nayyeri
Cost-Effective Conceptual Design Over Taxonomies. WebDB (2017)
Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak
Towards Automatically Setting Language Bias in Relational Learning. DEEM@SIGMOD (2017)
Parisa Ataei, Arash Termehchy, Eric Walkingshaw
Variational databases. DBPL (2017)
Ben McCamish, Arash Termehchy, Behrouz Touri, Eduardo Cotilla Sanchez
A Signaling Game Approach to Databases Querying. AMW (2016)
Jose Picado, Parisa Ataei, Arash Termehchy, Alan Fern
Schema Independent and Scalable Relational Learning By Castor. Proc. VLDB Endow. 9 (13) (2016)
Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun
Towards Representation Independent Similarity Search Over Graph Databases. CIKM (2016)
Ben McCamish, Vinod Ramaswamy, Arash Termehchy, Behrouz Touri
A Signaling Game Approach to Databases Querying and Interaction. CoRR (2016)
Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun
Toward Representation Independent Analytics over Structured Data. ICDM Workshops (2016)
Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun
Representation Independent Proximity and Similarity Search. CoRR (2015)
Arash Termehchy, Ali Vakilian, Yodsawalai Chodpathumwan, Marianne Winslett
Cost-Effective Conceptual Design for Information Extraction. ACM Trans. Database Syst. 40 (2) (2015)
Jose Picado, Arash Termehchy, Alan Fern
Schema Independent Relational Learning. CoRR (2015)
Arash Termehchy, Behrouz Touri
A Signaling Game Approach to Databases Querying and Interaction. ICTIR (2015)
Ali Vakilian, Yodsawalai Chodpathumwan, Arash Termehchy, Amir Nayyeri
Cost-Effective Conceptual Design Using Taxonomies. CoRR (2015)
Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun
Universal-DB: Towards Representation Independent Graph Analytics. Proc. VLDB Endow. 8 (12) (2015)
Arash Termehchy, Ali Vakilian, Yodsawalai Chodpathumwan, Marianne Winslett
Which concepts are worth extracting? SIGMOD Conference (2014)
Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun
Representation Independent Analytics Over Structured Data. CoRR (2014)
Shiwen Cheng, Arash Termehchy, Vagelis Hristidis
Efficient Prediction of Difficult Keyword Queries over Databases. IEEE Trans. Knowl. Data Eng. 26 (6) (2014)
Yodsawalai Chodpathumwan, Arash Termehchy, Yizhou Sun, Amirhossein Aleyasen, Jose Picado
Toward General Similarity Search Over Graphs. GRADES (2014)
Shiwen Cheng, Arash Termehchy, Vagelis Hristidis
Predicting the effectiveness of keyword queries on databases. CIKM (2012)
Arash Termehchy, Marianne Winslett, Yodsawalai Chodpathumwan, Austin Gibbons
Design Independent Query Interfaces. IEEE Trans. Knowl. Data Eng. 24 (10) (2012)
Arash Termehchy, Marianne Winslett
Using structural information in XML keyword search effectively. ACM Trans. Database Syst. 36 (1) (2011)
Arash Termehchy, Marianne Winslett, Yodsawalai Chodpathumwan
How schema independent are schema free query interfaces? ICDE (2011)
Arash Termehchy, Marianne Winslett
EXTRUCT: Using Deep Structural Information in XML Keyword Search. Proc. VLDB Endow. 3 (2) (2010)
Arash Termehchy, Marianne Winslett
Keyword search over key-value stores. WWW (2010)
Arash Termehchy, Marianne Winslett
Keyword search for data-centric XML collections with long text fields. EDBT (2010)
Arash Termehchy, Marianne Winslett
Generic and effective semi-structured keyword search. KEYS (2009)
Arash Termehchy, Marianne Winslett
Effective, design-independent XML keyword search. CIKM (2009)
Rishi Rakesh Sinha, Arash Termehchy, Soumyadeb Mitra, Marianne Winslett
Maitri Demonstration: Managing Large Scale Scientific Data (Demo). CIDR (2007)
Arash Termehchy, Mohammad Ghodsi
Pipelined operator tree scheduling in heterogeneous environments. J. Parallel Distributed Comput. 63 (6) (2003)