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2020 – today
- 2022
[j3]Preeti Maurya
, Omid Jafari, Bhagwan Thatte, Carl Ingram, Parth Nagarkar:
Building a comprehensive NER model for Satellite Domain. SN Comput. Sci. 3(3): 199 (2022)- [i11]Ayush Kumar, Parth Nagarkar, Prabhav Nalhe, Sanjeev Vijayakumar:
Deep Learning Driven Natural Languages Text to SQL Query Conversion: A Survey. CoRR abs/2208.04415 (2022) - [i10]Omid Jafari, Parth Nagarkar:
Experimental Analysis of Machine Learning Techniques for Finding Search Radius in Locality Sensitive Hashing. CoRR abs/2211.09093 (2022) - 2021
- [c15]Omid Jafari, Parth Nagarkar:
Experimental Analysis of Locality Sensitive Hashing Techniques for High-Dimensional Approximate Nearest Neighbor Searches. ADC 2021: 62-73 - [c14]Parth Nagarkar, Arnab Bhattacharya, Omid Jafari:
Exploring State-of-the-Art Nearest Neighbor (NN) Search Techniques. COMAD/CODS 2021: 443-446 - [c13]Parth Nagarkar, Lavin Amarnani, Dharmik Doshi:
Social Media Intelligence for Brand Analysis. ICCCNT 2021: 1-7 - [c12]Omid Jafari, Preeti Maurya, Khandker Mushfiqul Islam, Parth Nagarkar:
Optimizing Fair Approximate Nearest Neighbor Searches Using Threaded B+-Trees. SISAP 2021: 133-147 - [i9]Omid Jafari, Preeti Maurya, Parth Nagarkar, Khandker Mushfiqul Islam, Chidambaram Crushev:
A Survey on Locality Sensitive Hashing Algorithms and their Applications. CoRR abs/2102.08942 (2021) - [i8]Nada Ibrahim, Preeti Maurya, Omid Jafari, Parth Nagarkar:
A Survey of Performance Optimization in Neural Network-Based Video Analytics Systems. CoRR abs/2105.14195 (2021) - [i7]Shikun Zhang, Omid Jafari, Parth Nagarkar:
A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data. CoRR abs/2109.03784 (2021) - 2020
- [c11]Omid Jafari, Parth Nagarkar, Bhagwan Thatte, Carl Ingram:
SatelliteNER: An Effective Named Entity Recognition Model for the Satellite Domain. KMIS 2020: 100-107 - [c10]Omid Jafari, Parth Nagarkar, Jonathan Montaño:
mmLSH: A Practical and Efficient Technique for Processing Approximate Nearest Neighbor Queries on Multimedia Data. SISAP 2020: 47-61 - [c9]Omid Jafari, Parth Nagarkar, Jonathan Montaño:
Improving Locality Sensitive Hashing by Efficiently Finding Projected Nearest Neighbors. SISAP 2020: 323-337 - [c8]Omid Jafari, Parth Nagarkar, Jonathan Montaño:
Efficient Bitmap-based Indexing and Retrieval of Similarity Search Image Queries. SSIAI 2020: 58-61 - [i6]Omid Jafari, Parth Nagarkar, Jonathan Montaño:
mmLSH: A Practical and Efficient Technique for Processing Approximate Nearest Neighbor Queries on Multimedia Data. CoRR abs/2003.06415 (2020) - [i5]Omid Jafari, Parth Nagarkar, Jonathan Montaño:
Improving Locality Sensitive Hashing by Efficiently Finding Projected Nearest Neighbors. CoRR abs/2006.11284 (2020) - [i4]Omid Jafari, Parth Nagarkar:
Experimental Analysis of Locality Sensitive Hashing Techniques for High-Dimensional Approximate Nearest Neighbor Searches. CoRR abs/2006.11285 (2020)
2010 – 2019
- 2019
- [c7]Qixu Gong, Huiping Cao, Parth Nagarkar:
Skyline Queries Constrained by Multi-cost Transportation Networks. ICDE 2019: 926-937 - [c6]Omid Jafari, John Ossorgin, Parth Nagarkar:
qwLSH: Cache-conscious Indexing for Processing Similarity Search Query Workloads in High-Dimensional Spaces. ICMR 2019: 329-333 - [i3]Omid Jafari, John Ossorgin, Parth Nagarkar:
qwLSH: Cache-conscious Indexing for Processing Similarity Search Query Workloads in High-Dimensional Spaces. CoRR abs/1907.11803 (2019) - [i2]Omid Jafari, Khandker Mushfiqul Islam, Parth Nagarkar:
Drawbacks and Proposed Solutions for Real-time Processing on Existing State-of-the-art Locality Sensitive Hashing Techniques. CoRR abs/1912.07091 (2019) - [i1]Omid Jafari, Parth Nagarkar, Jonathan Montaño:
Efficient Bitmap-based Indexing and Retrieval of Similarity Search Image Queries. CoRR abs/1912.07101 (2019) - 2018
- [c5]Parth Nagarkar, K. Selçuk Candan:
PSLSH: An Index Structure for Efficient Execution of Set Queries in High-Dimensional Spaces. CIKM 2018: 477-486 - 2017
- [b1]Parth Nagarkar:
Query Workload-Aware Index Structures for Range Searches in 1D, 2D, and High-Dimensional Spaces. Arizona State University, Tempe, USA, 2017 - [c4]Silvestro Roberto Poccia, Maria Luisa Sapino, Sicong Liu, Xilun Chen, Yash Garg, Shengyu Huang, Jung Hyun Kim, Xinsheng Li, Parth Nagarkar, K. Selçuk Candan:
SIMDMS: Data Management and Analysis to Support Decision Making through Large Simulation Ensembles. EDBT 2017: 582-585 - 2015
- [j2]Parth Nagarkar, K. Selçuk Candan, Aneesha Bhat:
Compressed Spatial Hierarchical Bitmap (cSHB) Indexes for Efficiently Processing Spatial Range Query Workloads. Proc. VLDB Endow. 8(12): 1382-1393 (2015) - [c3]Parth Nagarkar:
Compressed Hierarchical Bitmaps for Efficiently Processing Different Query Workloads. IC2E 2015: 508-510 - 2014
- [c2]Parth Nagarkar, K. Selçuk Candan:
HCS: Hierarchical Cut Selection for Efficiently Processing Queries on Data Columns using Hierarchical Bitmap Indices. EDBT 2014: 271-282 - 2011
- [j1]K. Selçuk Candan, Jong Wook Kim, Parth Nagarkar, Mithila Nagendra, Renwei Yu:
RanKloud: Scalable Multimedia Data Processing in Server Clusters. IEEE Multim. 18(1): 64-77 (2011) - [c1]K. Selçuk Candan, Parth Nagarkar, Mithila Nagendra, Renwei Yu:
RanKloud: a scalable ranked query processing framework on hadoop. EDBT 2011: 574-577
Coauthor Index
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