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 | 148 | 2010 |
Systems and methods for generating performance prediction model and estimating execution time for applications R Singhal, A Sangroya US Patent 10,510,007, 2019 | 97 | 2019 |
Benchmarking dependability of mapreduce systems A Sangroya, D Serrano, S Bouchenak 2012 IEEE 31st Symposium on Reliable Distributed Systems, 21-30, 2012 | 46 | 2012 |
MRBS: towards dependability benchmarking for Hadoop MapReduce A Sangroya, D Serrano, S Bouchenak Euro-Par 2012: Parallel Processing Workshops: BDMC, CGWS, HeteroPar, HiBB …, 2013 | 31 | 2013 |
Mrbs: A comprehensive mapreduce benchmark suite A Sangroya, D Serrano, S Bouchenak LIG, Grenoble, France, Research Report RR-LIG-024, 47, 2012 | 18 | 2012 |
Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models. A Sangroya, M Rastogi, C Anantaram, L Vig CIKM (Workshops), 2020 | 17 | 2020 |
Repairing ASR output by Artificial Development and Ontology based Learning. C Anantaram, A Sangroya, M Rawat, A Chhabra IJCAI, 5799-5801, 2018 | 16 | 2018 |
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 | 16 | 2017 |
Modeling security for service oriented applications S Kou, MA Babar, A Sangroya Proceedings of the Fourth European Conference on Software Architecture …, 2010 | 16 | 2010 |
Experience with benchmarking dependability and performance of MapReduce systems A Sangroya, S Bouchenak, D Serrano Performance Evaluation 101, 1-19, 2016 | 15 | 2016 |
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 | 13 | 2019 |
System and method for belief based human-bot conversation C Anantaram, A Sangroya US Patent 10,679,009, 2020 | 11 | 2020 |
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 | 8 | 2018 |
Performance assurance model for hiveql on large data volume A Sangroya, R Singhal 2015 IEEE 22nd International Conference on High Performance Computing …, 2015 | 8 | 2015 |
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 | 7 | 2017 |
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 | 6 | 2016 |
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 | 5 | 2010 |
Generating Conceptual Explanations for DL based ECG Classification Model A Sangroya, S Jain, L Vig, C Anantaram, A Ukil, S Khandelwal The International FLAIRS Conference Proceedings 35, 2022 | 3 | 2022 |
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 | 3 | 2019 |
Extracting Latent Beliefs and using Epistemic Reasoning to Tailor a Chatbot. A Sangroya, C Anantaram, P Saini, M Rawat IJCAI, 5853-5855, 2018 | 2 | 2018 |