| A survey on locality sensitive hashing algorithms and their applications O Jafari, P Maurya, P Nagarkar, KM Islam, C Crushev arXiv preprint arXiv:2102.08942, 2021 | 109 | 2021 |
| RanKloud: scalable multimedia data processing in server clusters KS Candan, J Kim, P Nagarkar, M Nagendra, R Yu IEEE MultiMedia 18 (01), 64-77, 2011 | 38 | 2011 |
| A survey on machine learning techniques for auto labeling of video, audio, and text data S Zhang, O Jafari, P Nagarkar arXiv preprint arXiv:2109.03784, 2021 | 36 | 2021 |
| Continuous planning for solving business process adaptivity A Marrella, M Mecella International Workshop on Business Process Modeling, Development and Support …, 2011 | 33 | 2011 |
| Compressed spatial hierarchical bitmap (cSHB) indexes for efficiently processing spatial range query workloads P Nagarkar, KS Candan, A Bhat Proceedings of the VLDB Endowment 8 (12), 1382-1393, 2015 | 29 | 2015 |
| Skyline queries constrained by multi-cost transportation networks Q Gong, H Cao, P Nagarkar 2019 IEEE 35th International Conference on Data Engineering (ICDE), 926-937, 2019 | 21 | 2019 |
| A survey of performance optimization in neural network-based video analytics systems N Ibrahim, P Maurya, O Jafari, P Nagarkar arXiv preprint arXiv:2105.14195, 2021 | 16 | 2021 |
| Deep learning driven natural languages text to SQL query conversion: a survey A Kumar, P Nagarkar, P Nalhe, S Vijayakumar arXiv preprint arXiv:2208.04415, 2022 | 15 | 2022 |
| Rankloud: A scalable ranked query processing framework on hadoop KS Candan, P Nagarkar, M Nagendra, R Yu Proceedings of the 14th International Conference on Extending Database …, 2011 | 13 | 2011 |
| Experimental analysis of locality sensitive hashing techniques for high-dimensional approximate nearest neighbor searches O Jafari, P Nagarkar Australasian Database Conference, 62-73, 2021 | 12 | 2021 |
| SatelliteNER: An Effective Named Entity Recognition Model for the Satellite Domain. O Jafari, P Nagarkar, B Thatte, C Ingram KMIS, 100-107, 2020 | 12 | 2020 |
| Improving locality sensitive hashing by efficiently finding projected nearest neighbors O Jafari, P Nagarkar, J Montaño International Conference on Similarity Search and Applications, 323-337, 2020 | 11 | 2020 |
| SIMDMS: Data management and analysis to support decision making through large simulation ensembles SR Poccia, ML Sapino, L Sicong, C Xilun, G Yash, H Shengyu, HK Jung, ... Proceedings of the 20th International Conference on Extending Database …, 2017 | 11 | 2017 |
| HCS: Hierarchical Cut Selection for Efficiently Processing Queries on Data Columns using Hierarchical Bitmap Indices. P Nagarkar, KS Candan EDBT, 271-282, 2014 | 11 | 2014 |
| Pslsh: An index structure for efficient execution of set queries in high-dimensional spaces P Nagarkar, KS Candan Proceedings of the 27th ACM International Conference on Information and …, 2018 | 8 | 2018 |
| mmlsh: A practical and efficient technique for processing approximate nearest neighbor queries on multimedia data O Jafari, P Nagarkar, J Montaño International Conference on Similarity Search and Applications, 47-61, 2020 | 6 | 2020 |
| Building a comprehensive NER model for Satellite Domain P Maurya, O Jafari, B Thatte, C Ingram, P Nagarkar SN Computer Science 3 (3), 199, 2022 | 5 | 2022 |
| qwLSH: cache-conscious indexing for processing similarity search query workloads in high-dimensional spaces O Jafari, J Ossorgin, P Nagarkar Proceedings of the 2019 on International Conference on Multimedia Retrieval …, 2019 | 4 | 2019 |
| Data-utility sensitive query processing on server clusters to support scalable data analysis services R Yu, M Nagendra, P Nagarkar, KS Candan, JW Kim New Frontiers in Information and Software as Services: Service and …, 2011 | 4 | 2011 |
| Exploring State-of-the-Art Nearest Neighbor (NN) Search Techniques P Nagarkar, A Bhattacharya, O Jafari Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021 | 3 | 2021 |
K. Selcuk CandanProfessor of Computer Science and Engineering, Arizona State UniversityZweryfikowany adres z asu.edu