Blockchain analytics and artificial intelligence DN Dillenberger, P Novotny, Q Zhang, P Jayachandran, H Gupta, S Hans, ... IBM Journal of Research and Development 63 (2/3), 5: 1-5: 14, 2019 | 100 | 2019 |
Ownership preserving AI market places using blockchain NB Somy, K Kannan, V Arya, S Hans, A Singh, P Lohia, S Mehta 2019 IEEE international conference on blockchain (Blockchain), 156-165, 2019 | 52 | 2019 |
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets N Gupta, H Patel, S Afzal, N Panwar, RS Mittal, S Guttula, A Jain, ... arXiv preprint arXiv:2108.05935, 2021 | 40 | 2021 |
Efficiently processing temporal queries on hyperledger fabric H Gupta, S Hans, K Aggarwal, S Mehta, B Chatterjee, P Jayachandran 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1489-1494, 2018 | 36 | 2018 |
A programming language perspective on transactional memory consistency H Attiya, A Gotsman, S Hans, N Rinetzky Proceedings of the 2013 ACM symposium on Principles of distributed computing …, 2013 | 32 | 2013 |
Safety of live transactions in transactional memory: TMS is necessary and sufficient H Attiya, A Gotsman, S Hans, N Rinetzky Distributed Computing: 28th International Symposium, DISC 2014, Austin, TX …, 2014 | 30 | 2014 |
Safety and deferred update in transactional memory H Attiya, S Hans, P Kuznetsov, S Ravi Transactional Memory. Foundations, Algorithms, Tools, and Applications: COST …, 2015 | 24 | 2015 |
On building efficient temporal indexes on hyperledger fabric H Gupta, S Hans, S Mehta, P Jayachandran 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 294-301, 2018 | 19 | 2018 |
Data validation and service S Hans, S Mehta, S Soni US Patent 9,367,586, 2016 | 17 | 2016 |
Domain aware explainable anomaly and drift detection for multi-variate raw data using a constraint repository S Hans, SZH Shaikh, R Ananthanarayanan, D Saha, A Aggarwal, G Singh, ... US Patent 11,321,304, 2022 | 15 | 2022 |
Processing transactions in a predefined order MM Saad, MJ Kishi, S Jing, S Hans, R Palmieri Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019 | 13 | 2019 |
Testing framework for black-box AI models A Aggarwal, S Shaikh, S Hans, S Haldar, R Ananthanarayanan, D Saha 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 9 | 2021 |
Non Surgical Management of Large Periapical Lesions of Endodontic Origin: A Case Series. A Gupta, J Duhan, S Hans, V Goyal, S Bala Journal of oral health & community dentistry 8 (3), 2014 | 9 | 2014 |
A Data-centric AI Framework for Automating Exploratory Data Analysis and Data Quality Tasks H Patel, S Guttula, N Gupta, S Hans, RS Mittal, L N ACM Journal of Data and Information Quality 15 (4), 1-26, 2023 | 8 | 2023 |
The effectiveness of three different plant extracts used as irrigant in removal of smear layer: a scanning electron microscope study A Gupta, J Duhan, P Sangwan, S Hans, V Goyal J Oral Health Community Dent 9, 16-22, 2015 | 7 | 2015 |
Data synthesis for testing black-box machine learning models D Saha, A Aggarwal, S Hans Proceedings of the 5th Joint International Conference on Data Science …, 2022 | 6 | 2022 |
On privacy preserving convex hull S Hans, SC Addepalli, A Gupta, K Srinathan 2009 International Conference on Availability, Reliability and Security, 187-192, 2009 | 6 | 2009 |
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. arXiv 2021 N Gupta, H Patel, S Afzal, N Panwar, RS Mittal, S Guttula, A Jain, ... arXiv preprint arXiv:2108.05935, 2023 | 5 | 2023 |
Explainable data imputation using constraints S Hans, D Saha, A Aggarwal Proceedings of the 6th Joint International Conference on Data Science …, 2023 | 4 | 2023 |
Trustworthiness of artificial intelligence models in presence of anomalous data PK Lohia, D Saha, A Aggarwal, G Singh, R Ananthanarayanan, ... US Patent 11,455,554, 2022 | 4 | 2022 |