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ORCIDRavigopal Vennelakanti
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2020 – today
- 2023
[c13]Neda Zarayeneh, Malarvizhi Sankaranarayanasamy, Pegah Mavaie, Omanshu Thapliyal, Prasun Singh, Ravigopal Vennelakanti:
Colocation Datacenter Customer Power Usage Forecasting Using Synthetic Data and Integration of Macroeconomic Indicators. IEEE Big Data 2023: 3453-3457- 2022
- [c12]Masato Tamura
, Rahul Vishwakarma, Ravigopal Vennelakanti:
Hunting Group Clues with Transformers for Social Group Activity Recognition. ECCV (4) 2022: 19-35 - [c11]Umeshwar Dayal, Manish Gupta, Dipanjan Ghosh, Dinesh Wadhawan, Archana Morrow, Sadanori Horiguchi, Haiyan Wang, Aniruddha Rajendra Rao, Anastasia Osling, Chetan Gupta, Ravigopal Vennelakanti, Amit Kumar:
Enabling Product Circularity Through Big Data Analytics and Digitalization. MWSCAS 2022: 1-6 - [i2]Masato Tamura, Rahul Vishwakarma, Ravigopal Vennelakanti:
Hunting Group Clues with Transformers for Social Group Activity Recognition. CoRR abs/2207.05254 (2022) - 2021
- [i1]Rahul Vishwakarma, Ravigopal Vennelakanti:
CNN Model & Tuning for Global Road Damage Detection. CoRR abs/2103.09512 (2021) - 2020
- [c10]Ramyar Saeedi, Malarvizhi Sankaranarayanasamy, Rahul Vishwakarma, Prasun Singh, Ravigopal Vennelakanti:
Towards Modular Modeling and Analytic for Multi-Modal Transportation Networks. IEEE BigData 2020: 2426-2432 - [c9]Rahul Vishwakarma, Ravigopal Vennelakanti:
CNN Model & Tuning for Global Road Damage Detection. IEEE BigData 2020: 5609-5615 - [c8]Marnith Peng, Jose Luis Beltran, Ravigopal Vennelakanti:
Entity Matching from Unstructured and Dissimilar Data Collections: Semantic and Content Distribution Approach. IMMS 2020: 29-33
2010 – 2019
- 2017
- [c7]Bin Tong, Martin Klinkigt, Makoto Iwayama, Toshihiko Yanase, Yoshiyuki Kobayashi, Anshuman Sahu, Ravigopal Vennelakanti:
Learning to Generate Rock Descriptions from Multivariate Well Logs with Hierarchical Attention. KDD 2017: 2031-2040 - 2016
- [c6]Bin Tong, Martin Klinkigt, Makoto Iwayama, Yoshiyuki Kobayashi, Anshuman Sahu, Ravigopal Vennelakanti:
Deep Match between Geology Reports and Well Logs Using Spatial Information. CIKM 2016: 1833-1842 - 2015
- [c5]Bin Tong, Hiroaki Ozaki, Makoto Iwayama, Yoshiyuki Kobayashi, Anshuman Sahu, Ravigopal Vennelakanti:
Production Estimation for Shale Wells with Sentiment-Based Features from Geology Reports. ICDM Workshops 2015: 1310-1317 - 2014
- [c4]Umeshwar Dayal, Chetan Gupta, Ravigopal Vennelakanti, Marcos R. Vieira, Song Wang:
An Approach to Benchmarking Industrial Big Data Applications. WBDB 2014: 45-60 - 2011
- [c3]Krishnamurthy Viswanathan, Chetan Gupta, Choudur Lakshminarayan, Ming C. Hao, Umeshwar Dayal, Ravigopal Vennelakanti, Paul Helm, Sumitha Rangaiah, Harikrishnam-Raju Sagiraju, Sunil Doddmani:
An Application of Sensor and Streaming Analytics to Oil Production. COMAD 2011: 114-121 - 2010
- [j1]Ming C. Hao, Ratnesh K. Sharma, Daniel A. Keim, Umeshwar Dayal, Chandrakant D. Patel, Ravigopal Vennelakanti:
Application of Visual Analytics for Thermal State Management in Large Data Centres. Comput. Graph. Forum 29(6): 1895-1904 (2010)
2000 – 2009
- 2009
- [c2]Ratnesh K. Sharma, Ming C. Hao, Ravigopal Vennelakanti, Manish Gupta, Umeshwar Dayal, Cullen E. Bash, Chandrakant D. Patel, Deepa Naik, A. Jayakumar, Sairabanu Z. Ganihar, Ramesh Munusamy, Vani Mohan:
Mobile Visual Analytics for Datacenter Power and Cooling Management. MobiCASE 2009: 160-171 - 2008
- [c1]Umeshwar Dayal, Ravigopal Vennelakanti, Ratnesh K. Sharma, Malú Castellanos, Ming C. Hao, Chandrakant D. Patel:
Collaborative Business Intelligence: Enabling Collaborative Decision Making in Enterprises. OTM Conferences (1) 2008: 8-25
Coauthor Index
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