Ravigopal Vennelakanti

18 papers A* 1A 1B 1C 1Misc 1Journal 3Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Automated Indicator Mining and Forecast-Ready Feature Engineering via LLMs: Application in Colocation Data Center Supply Chains.
ICDM (Workshops)
Pegah Mavaie, Neda Zarayeneh, Ravigopal Vennelakanti
2025 C conf
Learning from Incomplete Logs: Dual-Task Failure Prediction for Natural Gas Compressor Units.
ICMLA
Pegah Mavaie, Ravigopal Vennelakanti
2023 B conf
Colocation Datacenter Customer Power Usage Forecasting Using Synthetic Data and Integration of Macroeconomic Indicators.
IEEE Big Data
Neda Zarayeneh, Malarvizhi Sankaranarayanasamy, Pegah Mavaie, Omanshu Thapliyal, Prasun Singh, Ravigopal Vennelakanti
2022 — conf
Enabling Product Circularity Through Big Data Analytics and Digitalization.
MWSCAS
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
2022 — conf
Hunting Group Clues with Transformers for Social Group Activity Recognition.
ECCV (4)
Masato Tamura, Rahul Vishwakarma, Ravigopal Vennelakanti
2022 J jnl
Hunting Group Clues with Transformers for Social Group Activity Recognition.
CoRR
Masato Tamura, Rahul Vishwakarma, Ravigopal Vennelakanti
2021 J jnl
CNN Model & Tuning for Global Road Damage Detection.
CoRR
Rahul Vishwakarma, Ravigopal Vennelakanti
2020 — conf
CNN Model & Tuning for Global Road Damage Detection.
IEEE BigData
Rahul Vishwakarma, Ravigopal Vennelakanti
2020 — conf
Entity Matching from Unstructured and Dissimilar Data Collections: Semantic and Content Distribution Approach.
IMMS
Marnith Peng, Jose Luis Beltran, Ravigopal Vennelakanti
2020 — conf
Towards Modular Modeling and Analytic for Multi-Modal Transportation Networks.
IEEE BigData
Ramyar Saeedi, Malarvizhi Sankaranarayanasamy, Rahul Vishwakarma, Prasun Singh, Ravigopal Vennelakanti
2017 A* conf
Learning to Generate Rock Descriptions from Multivariate Well Logs with Hierarchical Attention.
KDD
Bin Tong, Martin Klinkigt, Makoto Iwayama, Toshihiko Yanase, Yoshiyuki Kobayashi, Anshuman Sahu, Ravigopal Vennelakanti
2016 A conf
Deep Match between Geology Reports and Well Logs Using Spatial Information.
CIKM
Bin Tong, Martin Klinkigt, Makoto Iwayama, Yoshiyuki Kobayashi, Anshuman Sahu, Ravigopal Vennelakanti
2015 — conf
Production Estimation for Shale Wells with Sentiment-Based Features from Geology Reports.
ICDM Workshops
Bin Tong, Hiroaki Ozaki, Makoto Iwayama, Yoshiyuki Kobayashi, Anshuman Sahu, Ravigopal Vennelakanti
2014 — conf
An Approach to Benchmarking Industrial Big Data Applications.
WBDB
Umeshwar Dayal, Chetan Gupta, Ravigopal Vennelakanti, Marcos R. Vieira, Song Wang
2011 Misc conf
An Application of Sensor and Streaming Analytics to Oil Production.
COMAD
Krishnamurthy Viswanathan, Chetan Gupta, Choudur Lakshminarayan, Ming C. Hao, Umeshwar Dayal, Ravigopal Vennelakanti, Paul Helm, Sumitha Rangaiah, Harikrishnam-Raju Sagiraju, Sunil Doddmani
2010 J jnl
Application of Visual Analytics for Thermal State Management in Large Data Centres.
Comput. Graph. Forum
Ming C. Hao, Ratnesh K. Sharma, Daniel A. Keim, Umeshwar Dayal, Chandrakant D. Patel, Ravigopal Vennelakanti
2009 — conf
Mobile Visual Analytics for Datacenter Power and Cooling Management.
MobiCASE
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
2008 — conf
Collaborative Business Intelligence: Enabling Collaborative Decision Making in Enterprises.
OTM Conferences (1)
Umeshwar Dayal, Ravigopal Vennelakanti, Ratnesh K. Sharma, Malú Castellanos, Ming C. Hao, Chandrakant D. Patel