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Kavitha Srinivas
- > Home > Persons > Kavitha Srinivas
Publications
- 2023
- [j6]Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas:
DataRinse: Semantic Transforms for Data preparation based on Code Mining. Proc. VLDB Endow. 16(12): 4090-4093 (2023) - [c54]Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas:
SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. IJCAI 2023: 7106-7109 - [i17]Wenting Zhao, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas, Mossad Helali, Essam Mansour:
Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning. CoRR abs/2301.05108 (2023) - [i14]Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz:
LakeBench: Benchmarks for Data Discovery over Data Lakes. CoRR abs/2307.04217 (2023) - 2022
- [j5]Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
A Scalable AutoML Approach Based on Graph Neural Networks. Proc. VLDB Endow. 15(11): 2428-2436 (2022) - [c51]Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas:
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. AAAI 2022: 4415-4423 - [i11]Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
Large Scale Generation of Labeled Type Data for Python. CoRR abs/2201.12242 (2022) - 2021
- [c40]Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas:
A Toolkit for Generating Code Knowledge Graphs. K-CAP 2021: 137-144 - [i7]Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas:
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. CoRR abs/2109.07452 (2021) - [i6]Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
A Scalable AutoML Approach Based on Graph Neural Networks. CoRR abs/2111.00083 (2021) - 2020
- [c35]Ibrahim Abdelaziz, Kavitha Srinivas, Julian Dolby, Jamie P. McCusker:
A Demonstration of CodeBreaker: A Machine Interpretable Knowledge Graph for Code. ISWC (Demos/Industry) 2020: 266-271 - [i4]Kavitha Srinivas, Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker:
Graph4Code: A Machine Interpretable Knowledge Graph for Code. CoRR abs/2002.09440 (2020) - 2018
- [i2]Kavitha Srinivas, Abraham Gale, Julian Dolby:
Merging datasets through deep learning. CoRR abs/1809.01604 (2018) - 2016
- [c30]Julian Dolby, Achille Fokoue, Mariano Rodriguez-Muro, Kavitha Srinivas, Wen Sun:
Extending SPARQL for Data Analytic Tasks. ISWC (2) 2016: 437-452 - [c29]Mihaela A. Bornea, Julian Dolby, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas, Mandana Vaziri:
An Executable Specification for SPARQL. WISE (2) 2016: 298-305 - 2014
- [c26]Achille Fokoue, Mihaela A. Bornea, Julian Dolby, Anastasios Kementsietsidis, Kavitha Srinivas:
An Offline Optimal SPARQL Query Planning Approach to Evaluate Online Heuristic Planners. WISE (1) 2014: 480-495 - 2013
- [c22]Mihaela A. Bornea, Julian Dolby, Anastasios Kementsietsidis, Kavitha Srinivas, Patrick Dantressangle, Octavian Udrea, Bishwaranjan Bhattacharjee:
Building an efficient RDF store over a relational database. SIGMOD Conference 2013: 121-132 - 2009
- [j1]Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Edith Schonberg, Kavitha Srinivas:
Scalable highly expressive reasoner (SHER). J. Web Semant. 7(4): 357-361 (2009) - [c14]Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Edith Schonberg, Kavitha Srinivas:
Extracting Enterprise Vocabularies Using Linked Open Data. ISWC 2009: 779-794 - 2008
- [c12]Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Li Ma, Edith Schonberg, Kavitha Srinivas, Xingzhi Sun:
Scalable Grounded Conjunctive Query Evaluation over Large and Expressive Knowledge Bases. ISWC 2008: 403-418 - 2007
- [c11]Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Edith Schonberg, Kavitha Srinivas, Li Ma:
Scalable Semantic Retrieval through Summarization and Refinement. AAAI 2007: 299-304 - [c9]Julian Dolby, James Fan, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Li Ma, J. William Murdock, Kavitha Srinivas, Christopher A. Welty:
Scalable Cleanup of Information Extraction Data Using Ontologies. ISWC/ASWC 2007: 100-113 - [c8]Chintan Patel, James J. Cimino, Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Li Ma, Edith Schonberg, Kavitha Srinivas:
Matching Patient Records to Clinical Trials Using Ontologies. ISWC/ASWC 2007: 816-829 - 2004
- [c1]Darrell Reimer, Edith Schonberg, Kavitha Srinivas, Harini Srinivasan, Julian Dolby, Aaron Kershenbaum, Larry Koved:
Validating structural properties of nested objects. OOPSLA Companion 2004: 294-304
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