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ORCIDArash Termehchy
Person information
- affiliation: Oregon State University, Corvallis, OR, USA
- affiliation: University of Illinois, Urbana-Champaign, IL, USA
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2020 – today
- 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
- [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) - [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 - [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) - 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) - [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 - [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
- [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) - [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 - [i9]Jose Picado, John Davis, Arash Termehchy, Ga Young Lee:
Learning Over Dirty Data Without Cleaning. CoRR abs/2004.02308 (2020)
2010 – 2019
- 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) - [c27]Vahid Ghadakchi, Abtin Khodadadi, Arash Termehchy:
Less Data Delivers Higher Search Effectiveness for Keyword Queries. SSDBM 2019: 109-120 - [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) - 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) - [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 - [i6]Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern:
AutoMode: Relational Learning With Less Black Magic. CoRR abs/1710.01420 (2017) - 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) - [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 - [i5]Ben McCamish, Vinod Ramaswamy, Arash Termehchy, Behrouz Touri:
A Signaling Game Approach to Databases Querying and Interaction. CoRR abs/1603.04068 (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) - [c10]Arash Termehchy, Behrouz Touri:
A Signaling Game Approach to Databases Querying and Interaction. ICTIR 2015: 361-364 - [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
- [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) - [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 - [i1]Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun:
Representation Independent Analytics Over Structured Data. CoRR abs/1409.2553 (2014) - 2012
- [b1]Arash Termehchy:
Principles of usable query interfaces. University of Illinois Urbana-Champaign, USA, 2012 - [j4]Arash Termehchy, Marianne Winslett, Yodsawalai Chodpathumwan, Austin Gibbons:
Design Independent Query Interfaces. IEEE Trans. Knowl. Data Eng. 24(10): 1819-1832 (2012) - [c7]Shiwen Cheng, Arash Termehchy, Vagelis Hristidis:
Predicting the effectiveness of keyword queries on databases. CIKM 2012: 1213-1222 - 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) - [c6]Arash Termehchy, Marianne Winslett, Yodsawalai Chodpathumwan:
How schema independent are schema free query interfaces? ICDE 2011: 649-660 - 2010
- [j2]Arash Termehchy, Marianne Winslett:
EXTRUCT: Using Deep Structural Information in XML Keyword Search. Proc. VLDB Endow. 3(2): 1593-1596 (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
2000 – 2009
- 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 - 2003
- [j1]Arash Termehchy, Mohammad Ghodsi:
Pipelined operator tree scheduling in heterogeneous environments. J. Parallel Distributed Comput. 63(6): 630-637 (2003)
Coauthor Index
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last updated on 2024-04-25 05:43 CEST by the dblp team
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