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Arash Termehchy
Person information
- affiliation: Oregon State University, Corvallis, OR, USA
- affiliation: University of Illinois, Urbana-Champaign, IL, USA
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Books and Theses
- 2012
- [b1]Arash Termehchy:
Principles of usable query interfaces. University of Illinois Urbana-Champaign, USA, 2012
Journal Articles
- 2024
- [j17]Cheng Zhen
, Nischal Aryal
, Arash Termehchy
, Amandeep Singh Chabada
:
Certain and Approximately Certain Models for Statistical Learning. Proc. ACM Manag. Data 2(3): 126 (2024) - 2023
- [j16]Rajesh Shrestha
, Omeed Habibelahian
, Arash Termehchy
, Paolo Papotti
:
Exploratory Training: When Annonators Learn About Data. Proc. ACM Manag. Data 1(2): 135:1-135:25 (2023) - [j15]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): 3404-3417 (2023) - 2022
- [j14]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): 400 (2022) - 2020
- [j13]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): 1:1-1:44 (2020) - 2019
- [j12]Ben McCamish, Vahid Ghadakchi, Arash Termehchy, Liang Huang, Behrouz Touri:
How Do Humans and Data Systems Establish a CommonQuery Language? SIGMOD Rec. 48(1): 51-58 (2019) - [j11]Jose Picado
, Arash Termehchy, Alan Fern, Parisa Ataei:
Logical scalability and efficiency of relational learning algorithms. VLDB J. 28(2): 147-171 (2019) - 2018
- [j10]Jose Picado, Arash Termehchy, Sudhanshu Pathak:
Learning Efficiently Over Heterogeneous Databases. Proc. VLDB Endow. 11(12): 2066-2069 (2018) - [j9]Yodsawalai Chodpathumwan, Ali Vakilian, Arash Termehchy, Amir Nayyeri:
Cost-effective conceptual design using taxonomies. VLDB J. 27(3): 369-394 (2018) - 2016
- [j8]Jose Picado, Parisa Ataei, Arash Termehchy, Alan Fern:
Schema Independent and Scalable Relational Learning By Castor. Proc. VLDB Endow. 9(13): 1589-1592 (2016) - 2015
- [j7]Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun:
Universal-DB: Towards Representation Independent Graph Analytics. Proc. VLDB Endow. 8(12): 2016-2019 (2015) - [j6]Arash Termehchy, Ali Vakilian, Yodsawalai Chodpathumwan, Marianne Winslett:
Cost-Effective Conceptual Design for Information Extraction. ACM Trans. Database Syst. 40(2): 12:1-12:39 (2015) - 2014
- [j5]Shiwen Cheng, Arash Termehchy, Vagelis Hristidis
:
Efficient Prediction of Difficult Keyword Queries over Databases. IEEE Trans. Knowl. Data Eng. 26(6): 1507-1520 (2014) - 2012
- [j4]Arash Termehchy, Marianne Winslett, Yodsawalai Chodpathumwan, Austin Gibbons:
Design Independent Query Interfaces. IEEE Trans. Knowl. Data Eng. 24(10): 1819-1832 (2012) - 2011
- [j3]Arash Termehchy, Marianne Winslett:
Using structural information in XML keyword search effectively. ACM Trans. Database Syst. 36(1): 4:1-4:39 (2011) - 2010
- [j2]Arash Termehchy, Marianne Winslett:
EXTRUCT: Using Deep Structural Information in XML Keyword Search. Proc. VLDB Endow. 3(2): 1593-1596 (2010) - 2003
- [j1]Arash Termehchy, Mohammad Ghodsi:
Pipelined operator tree scheduling in heterogeneous environments. J. Parallel Distributed Comput. 63(6): 630-637 (2003)
Conference and Workshop Papers
- 2024
- [c37]Sanad Saha, Nischal Aryal, Leilani Battle, Arash Termehchy:
User Learning In Interactive Data Exploration. ICDE 2024: 5660-5661 - [c36]Sanad Saha
, Nischal Aryal
, Leilani Battle
, Arash Termehchy
:
ShiftScope: Adapting Visualization Recommendations to Users' Dynamic Data Focus. SIGMOD Conference Companion 2024: 536-539 - 2023
- [c35]Cheng Zhen
, Amandeep Singh Chabada
, Arash Termehchy
:
When Can We Ignore Missing Data in Model Training? DEEM@SIGMOD 2023: 4:1-4:4 - [c34]Christopher Buss, Jasmin Mosavi, Mikhail Tokarev, Arash Termehchy, David Maier, Stefan Lee:
Generating Data Augmentation Queries Using Large Language Models. VLDB Workshops 2023 - [c33]Jasmin Mousavi, Arash Termehchy:
Towards Consistent Language Models Using Declarative Constraints. VLDB Workshops 2023 - 2022
- [c32]Omeed Habibelahian, Rajesh Shrestha, Arash Termehchy, Paolo Papotti:
Exploratory training: when trainers learn. HILDA@SIGMOD 2022: 3:1-3:5 - 2021
- [c31]Yodsawalai Chodpathumwan, Arash Termehchy, Stephen A. Ramsey, Aayam Shrestha, Amy Glen, Zheng Liu:
Structural Generalizability: The Case of Similarity Search. SIGMOD Conference 2021: 326-338 - [c30]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
- [c29]Vahid Ghadakchi, Mian Xie, Arash Termehchy:
Bandit join: preliminary results. aiDM@SIGMOD 2020: 1:1-1:4 - [c28]Jose Picado, John Davis, Arash Termehchy, Ga Young Lee:
Learning Over Dirty Data Without Cleaning. SIGMOD Conference 2020: 1301-1316 - 2019
- [c27]Vahid Ghadakchi, Abtin Khodadadi, Arash Termehchy:
Less Data Delivers Higher Search Effectiveness for Keyword Queries. SSDBM 2019: 109-120 - 2018
- [c26]Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern:
AutoMode: Relational Learning with Less Black Magic. ICDE 2018: 1553-1556 - [c25]Ben McCamish, Arash Termehchy, Behrouz Touri:
The Data Exploration Game. ICDE 2018: 1668-1669 - [c24]Vahid Ghadakchi, Arash Termehchy:
There Is No Dichotomy between Effectiveness and Efficiency in Keyword Search over Databases. ICDE 2018: 1675-1676 - [c23]Jose Picado, Arash Termehchy, Sudhanshu Pathak:
Learning Efficiently Over Heterogeneous Databases: Sampling and Constraints to the Rescue. DEEM@SIGMOD 2018: 10:1-10:4 - [c22]Ben McCamish, Vahid Ghadakchi, Arash Termehchy, Behrouz Touri, Liang Huang:
The Data Interaction Game. SIGMOD Conference 2018: 83-98 - [c21]Ben McCamish, Arash Termehchy:
Progressive Interactions Between Data Sources. Poly/DMAH@VLDB 2018: 30-38 - [c20]Parisa Ataei, Arash Termehchy, Eric Walkingshaw:
Managing Structurally Heterogeneous Databases in Software Product Lines. Poly/DMAH@VLDB 2018: 68-77 - 2017
- [c19]Arash Termehchy:
Reaching Mutual Understanding in a Society of Humans and Database Systems. CIDR 2017 - [c18]Parisa Ataei, Arash Termehchy, Eric Walkingshaw:
Variational databases. DBPL 2017: 11:1-11:4 - [c17]Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak:
Towards Automatically Setting Language Bias in Relational Learning. DEEM@SIGMOD 2017: 3:1-3:4 - [c16]Ben McCamish, Arash Termehchy, Behrouz Touri:
A Game-theoretic Approach to Data Interaction: A Progress Report. HILDA@SIGMOD 2017: 15:1-15:4 - [c15]Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei:
Schema Independent Relational Learning. SIGMOD Conference 2017: 929-944 - [c14]Ali Vakilian, Yodsawalai Chodpathumwan, Arash Termehchy, Amir Nayyeri:
Cost-Effective Conceptual Design Over Taxonomies. WebDB 2017: 35-40 - 2016
- [c13]Ben McCamish, Arash Termehchy, Behrouz Touri, Eduardo Cotilla Sanchez:
A Signaling Game Approach to Databases Querying. AMW 2016 - [c12]Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun:
Towards Representation Independent Similarity Search Over Graph Databases. CIKM 2016: 2233-2238 - [c11]Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun:
Toward Representation Independent Analytics over Structured Data. ICDM Workshops 2016: 357-360 - 2015
- [c10]Arash Termehchy, Behrouz Touri:
A Signaling Game Approach to Databases Querying and Interaction. ICTIR 2015: 361-364 - 2014
- [c9]Yodsawalai Chodpathumwan, Arash Termehchy, Yizhou Sun, Amirhossein Aleyasen, Jose Picado:
Toward General Similarity Search Over Graphs. GRADES 2014: 12:1-12:4 - [c8]Arash Termehchy, Ali Vakilian, Yodsawalai Chodpathumwan, Marianne Winslett:
Which concepts are worth extracting? SIGMOD Conference 2014: 779-790 - 2012
- [c7]Shiwen Cheng, Arash Termehchy, Vagelis Hristidis
:
Predicting the effectiveness of keyword queries on databases. CIKM 2012: 1213-1222 - 2011
- [c6]Arash Termehchy, Marianne Winslett, Yodsawalai Chodpathumwan:
How schema independent are schema free query interfaces? ICDE 2011: 649-660 - 2010
- [c5]Arash Termehchy, Marianne Winslett:
Keyword search for data-centric XML collections with long text fields. EDBT 2010: 537-548 - [c4]Arash Termehchy, Marianne Winslett:
Keyword search over key-value stores. WWW 2010: 1193-1194 - 2009
- [c3]Arash Termehchy, Marianne Winslett:
Effective, design-independent XML keyword search. CIKM 2009: 107-116 - [c2]Arash Termehchy, Marianne Winslett:
Generic and effective semi-structured keyword search. KEYS 2009: 45-46 - 2007
- [c1]Rishi Rakesh Sinha, Arash Termehchy, Soumyadeb Mitra, Marianne Winslett:
Maitri Demonstration: Managing Large Scale Scientific Data (Demo). CIDR 2007: 219-224
Informal and Other Publications
- 2024
- [i14]Cheng Zhen, Nischal Aryal, Arash Termehchy, Alireza Aghasi, Amandeep Singh Chabada:
Certain and Approximately Certain Models for Statistical Learning. CoRR abs/2402.17926 (2024) - 2023
- [i13]Sanad Saha, Nischal Aryal, Leilani Battle, Arash Termehchy:
How Does User Behavior Evolve During Exploratory Visual Analysis? CoRR abs/2312.09407 (2023) - [i12]Vahid Ghadakchi, Mian Xie, Arash Termehchy, Bakhtiyar Doskenov, Bharghav Srikhakollu, Summit Haque, Huazheng Wang:
Multi-Agent Join. CoRR abs/2312.14291 (2023) - [i11]Jasmin Mousavi, Arash Termehchy:
Towards Consistent Language Models Using Declarative Constraints. CoRR abs/2312.15472 (2023) - 2021
- [i10]Ga Young Lee, Lubna Alzamil, Bakhtiyar Doskenov, Arash Termehchy:
A Survey on Data Cleaning Methods for Improved Machine Learning Model Performance. CoRR abs/2109.07127 (2021) - 2020
- [i9]Jose Picado, John Davis, Arash Termehchy, Ga Young Lee:
Learning Over Dirty Data Without Cleaning. CoRR abs/2004.02308 (2020) - 2019
- [i8]Ben McCamish, Christopher Buss, Arash Termehchy, David Maier:
Integrating Information About Entities Progressively. CoRR abs/1910.10263 (2019) - [i7]Parisa Ataei, Qiaoran Li, Eric Walkingshaw, Arash Termehchy:
Managing Variability in Relational Databases by VDBMS. CoRR abs/1911.11184 (2019) - 2017
- [i6]Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern:
AutoMode: Relational Learning With Less Black Magic. CoRR abs/1710.01420 (2017) - 2016
- [i5]Ben McCamish, Vinod Ramaswamy, Arash Termehchy, Behrouz Touri:
A Signaling Game Approach to Databases Querying and Interaction. CoRR abs/1603.04068 (2016) - 2015
- [i4]Ali Vakilian, Yodsawalai Chodpathumwan, Arash Termehchy, Amir Nayyeri:
Cost-Effective Conceptual Design Using Taxonomies. CoRR abs/1503.05656 (2015) - [i3]Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun:
Representation Independent Proximity and Similarity Search. CoRR abs/1508.03763 (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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