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Amit Sangroya
Amit Sangroya
Scientist, TCS Innovation Labs
Verified email at tcs.com
Title
Cited by
Cited by
Year
Towards analyzing data security risks in cloud computing environments
A Sangroya, S Kumar, J Dhok, V Varma
Information Systems, Technology and Management: 4th International Conference …, 2010
1462010
Systems and methods for generating performance prediction model and estimating execution time for applications
R Singhal, A Sangroya
US Patent 10,510,007, 2019
782019
Benchmarking dependability of mapreduce systems
A Sangroya, D Serrano, S Bouchenak
2012 IEEE 31st Symposium on Reliable Distributed Systems, 21-30, 2012
462012
MRBS: towards dependability benchmarking for Hadoop MapReduce
A Sangroya, D Serrano, S Bouchenak
Euro-Par 2012: Parallel Processing Workshops: BDMC, CGWS, HeteroPar, HiBB …, 2013
312013
Mrbs: A comprehensive mapreduce benchmark suite
A Sangroya, D Serrano, S Bouchenak
LIG, Grenoble, France, Research Report RR-LIG-024, 47, 2012
182012
Repairing ASR output by Artificial Development and Ontology based Learning.
C Anantaram, A Sangroya, M Rawat, A Chhabra
IJCAI, 5799-5801, 2018
162018
Modeling security for service oriented applications
S Kou, MA Babar, A Sangroya
Proceedings of the Fourth European Conference on Software Architecture …, 2010
162010
Experience with benchmarking dependability and performance of MapReduce systems
A Sangroya, S Bouchenak, D Serrano
Performance Evaluation 101, 1-19, 2016
152016
Chatbot as an Intermediary between a Customer and the Customer Care Ecosystem
A Sangroya, P Saini, C Anantaram
Proceedings of the 9th International Conference on Management of Digital …, 2017
142017
Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models.
A Sangroya, M Rastogi, C Anantaram, L Vig
CIKM (Workshops), 2020
112020
System and method for belief based human-bot conversation
C Anantaram, A Sangroya
US Patent 10,679,009, 2020
112020
Using Formal Concept Analysis to Explain Black Box Deep Learning Classification Models.
A Sangroya, C Anantaram, M Rawat, M Rastogi
FCA4AI@ IJCAI, 19-26, 2019
112019
Formalizing and Verifying Natural Language System Requirements using Petri Nets and Context based Reasoning.
A Chhabra, A Sangroya, C Anantaram
MRC@ IJCAI, 64-71, 2018
82018
Identifying latent beliefs in customer complaints to trigger epistemic rules for relevant human-bot dialog
C Anantaram, A Sangroya
2017 3rd International Conference on Control, Automation and Robotics (ICCAR …, 2017
72017
Performance assurance model for hiveql on large data volume
A Sangroya, R Singhal
2015 IEEE 22nd International Conference on High Performance Computing …, 2015
72015
A reusable architecture for dependability and performance benchmarking of cloud services
A Sangroya, S Bouchenak
Service-Oriented Computing–ICSOC 2015 Workshops: WESOA, RMSOC, ISC, DISCO …, 2016
62016
SAGE: An approach to evaluate the impact of SOA governance policies
A Sangroya, K Garg, V Varma
2010 IEEE 24th International Conference on Advanced Information Networking …, 2010
52010
Natural language business intelligence question answering through SeqtoSeq transfer learning
A Sangroya, P Saini, M Rawat, G Shroff, C Anantaram
Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2019 …, 2019
22019
Extracting Latent Beliefs and using Epistemic Reasoning to Tailor a Chatbot.
A Sangroya, C Anantaram, P Saini, M Rawat
IJCAI, 5853-5855, 2018
22018
Robustness for ECG classification by adversarial training over clinical features
S Jain, A Sangroya, L Vig, C Anantaram
International Workshop on Health Intelligence, 237-253, 2023
12023
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