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Sandeep Hans
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2020 – today
- 2024
- [c21]Pratik Mishra, Sandeep Hans, Diptikalyan Saha, Pratibha Moogi:
Optimizing Cloud Workloads: Autoscaling with Reinforcement Learning. CLOUD 2024: 217-222 - [c20]Sandeep Hans, Anupam Sanghi, Diptikalyan Saha:
Tabular Data Synthesis with GANs for Adaptive AI Models. COMAD/CODS 2024: 242-246 - [c19]Mudit Verma, Sandeep Hans, Diptikalyan Saha, Praveen Jayachandran, Eitan Farchi, Naga Ravi Chaitanya Elluri, Tullio Sebastiani, Paige Rubendall, Yogananth Subramanian, Pradeep Surisetty, Brian Riordan:
A Chaos Recommendation Tool for Reliability Testing in Large-Scale Cloud-Native Systems. COMSNETS 2024: 270-272 - 2023
- [j4]Hima Patel, Shanmukha C. Guttula, Nitin Gupta, Sandeep Hans, Ruhi Sharma Mittal, Lokesh Nagalapatti:
A Data-centric AI Framework for Automating Exploratory Data Analysis and Data Quality Tasks. ACM J. Data Inf. Qual. 15(4): 44:1-44:26 (2023) - [c18]Sandeep Hans, Diptikalyan Saha, Aniya Aggarwal:
Explainable Data Imputation using Constraints. COMAD/CODS 2023: 128-132 - [c17]Vijay Arya, Diptikalyan Saha, Sandeep Hans, Amaresh Rajasekharan, Tony Tang:
Global Explanations for Multivariate time series models. COMAD/CODS 2023: 149-157 - 2022
- [c16]Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans:
Data Synthesis for Testing Black-Box Machine Learning Models. COMAD/CODS 2022: 110-114 - [i7]Sandeep Hans, Diptikalyan Saha, Aniya Aggarwal:
Explainable Data Imputation using Constraints. CoRR abs/2205.04731 (2022) - 2021
- [c15]Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, Diptikalyan Saha:
Testing Framework for Black-box AI Models. ICSE (Companion Volume) 2021: 81-84 - [i6]Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, Diptikalyan Saha:
Testing Framework for Black-box AI Models. CoRR abs/2102.06166 (2021) - [i5]Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha:
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. CoRR abs/2108.05935 (2021) - [i4]Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans:
Data Synthesis for Testing Black-Box Machine Learning Models. CoRR abs/2111.02161 (2021) - 2020
- [c14]Hagit Attiya, Panagiota Fatourou, Sandeep Hans, Eleni Kanellou:
Staleness and Local Progress in Transactional Memory. NETYS 2020: 227-243 - [i3]Nishant Baranwal Somy, Kalapriya Kannan, Vijay Arya, Sandeep Hans, Abhishek Singh, Pranay Lohia, Sameep Mehta:
Ownership preserving AI Market Places using Blockchain. CoRR abs/2001.09011 (2020)
2010 – 2019
- 2019
- [j3]Donna Dillenberger, Petr Novotný, Q. Zhang, Praveen Jayachandran, H. Gupta, Sandeep Hans, Dinesh C. Verma, Shreya Chakraborty, J. J. Thomas, M. M. Walli, Roman Vaculín, Kanthi K. Sarpatwar:
Blockchain analytics and artificial intelligence. IBM J. Res. Dev. 63(2/3): 5:1-5:14 (2019) - [c13]Nishant Baranwal Somy, Kalapriya Kannan, Vijay Arya, Sandeep Hans, Abhishek Singh, Pranay Lohia, Sameep Mehta:
Ownership Preserving AI Market Places Using Blockchain. Blockchain 2019: 156-165 - [c12]Mohamed M. Saad, Masoomeh Javidi Kishi, Shihao Jing, Sandeep Hans, Roberto Palmieri:
Processing transactions in a predefined order. PPoPP 2019: 120-132 - 2018
- [j2]Hagit Attiya, Alexey Gotsman, Sandeep Hans, Noam Rinetzky:
Characterizing Transactional Memory Consistency Conditions Using Observational Refinement. J. ACM 65(1): 2:1-2:44 (2018) - [c11]Himanshu Gupta, Sandeep Hans, Sameep Mehta, Praveen Jayachandran:
On Building Efficient Temporal Indexes on Hyperledger Fabric. IEEE CLOUD 2018: 294-301 - [c10]Himanshu Gupta, Sandeep Hans, Kushagra Aggarwal, Sameep Mehta, Bapi Chatterjee, Praveen Jayachandran:
Efficiently Processing Temporal Queries on Hyperledger Fabric. ICDE 2018: 1489-1494 - [i2]Mohamed M. Saad, Masoomeh Javidi Kishi, Shihao Jing, Sandeep Hans, Roberto Palmieri:
Processing Transactions in a Predefined Order. CoRR abs/1812.05727 (2018) - 2017
- [c9]Himanshu Gupta, Sameep Mehta, Sandeep Hans, Bapi Chatterjee, Pranay Lohia, Rajmohan C:
Provenance in Context of Hadoop as a Service (HaaS) - State of the Art and Research Directions. CLOUD 2017: 680-683 - 2016
- [c8]Sandeep Hans, Ahmed Hassan, Roberto Palmieri, Sebastiano Peluso, Binoy Ravindran:
Opacity vs TMS2: Expectations and Reality. DISC 2016: 269-283 - 2015
- [p1]Hagit Attiya, Sandeep Hans, Petr Kuznetsov, Srivatsan Ravi:
Safety and Deferred Update in Transactional Memory. Transactional Memory 2015: 50-71 - 2014
- [j1]Claire Capdevielle, Sandeep Hans:
WTTM 2013, the fifth workshop on the theory of transactional memory. SIGACT News 45(3): 75-81 (2014) - [c7]Hagit Attiya, Alexey Gotsman, Sandeep Hans, Noam Rinetzky:
Safety of Live Transactions in Transactional Memory: TMS is Necessary and Sufficient. DISC 2014: 376-390 - 2013
- [c6]Hagit Attiya, Sandeep Hans, Petr Kuznetsov, Srivatsan Ravi:
Safety of Deferred Update in Transactional Memory. ICDCS 2013: 601-610 - [c5]Hagit Attiya, Alexey Gotsman, Sandeep Hans, Noam Rinetzky:
A programming language perspective on transactional memory consistency. PODC 2013: 309-318 - [i1]Hagit Attiya, Sandeep Hans, Petr Kuznetsov, Srivatsan Ravi:
Safety of Deferred Update in Transactional Memory. CoRR abs/1301.6297 (2013) - 2012
- [c4]Soujanya Soni, Sameep Mehta, Sandeep Hans:
Towards Providing Data Validation as a Service. IEEE SCC 2012: 570-577 - [c3]Soujanya Soni, Sameep Mehta, Sandeep Hans:
Data validation for business continuity planning. SOLI 2012: 72-77 - 2010
- [c2]Anuj Gupta, Sandeep Hans, Kannan Srinathan, C. Pandu Rangan:
On Composability of Reliable Unicast and Broadcast. ICDCN 2010: 54-66
2000 – 2009
- 2009
- [c1]Sandeep Hans, Sarat C. Addepalli, Anuj Gupta, Kannan Srinathan:
On Privacy Preserving Convex Hull. ARES 2009: 187-192
Coauthor Index
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last updated on 2024-09-12 03:27 CEST by the dblp team
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