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Vikrant Shimpi
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2020 – today
- 2023
- [c8]Sai Charan Emmadi, Parag Agrawal, Satya Samudrala, Vikrant Shimpi, Maitreya Natu:
Theory meets practice approach for Event Correlations. IEEE Big Data 2023: 1918-1921 - 2021
- [c7]Satya Samudrala, Neha Behl, Vikrant Shimpi, Deepa Vaidyanathan, Maitreya Natu:
Predicting batch process to prevent business outages. DSAA 2021: 1-2 - [c6]Vikrant Shimpi, Aakash Patel, Siddartha Kshirsagar, Maitreya Natu, Monika Bhave:
Resolving the message riddle: A multi-pronged approach to infer trouble tickets. DSAA 2021: 1-2 - [c5]Parag Agrawal, Priyadarshi, Vikrant Shimpi, Neha Behl, Deepa Vaidyanathan, Maitreya Natu:
Prediction Diagnostics - Addressing data veracity in predicting batch processes. ICDM (Workshops) 2021: 201-207
2010 – 2019
- 2019
- [c4]Neha Behl, Vikrant Shimpi, Maitreya Natu, Vaishali P. Sadaphal:
Making Batch Systems Predictable. COMSNETS 2019: 477-480 - 2016
- [c3]Praveen Venkateswaran, Vikrant Shimpi, Maitreya Natu, Vaishali P. Sadaphal:
Domain Driven Forecasting: Applying Theory Into Practice. ICDM Workshops 2016: 584-591 - 2014
- [c2]Vikrant Shimpi, Maitreya Natu, Vaishali P. Sadaphal, Vaishali Kulkarni:
Problem Identification by Mining Trouble Tickets. COMAD 2014: 76-86 - 2010
- [c1]Arunchandar Vasan, Anand Sivasubramaniam, Vikrant Shimpi, T. Sivabalan, Rajesh Subbiah:
Worth their watts? - an empirical study of datacenter servers. HPCA 2010: 1-10
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