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ORCIDGaurang Gavai
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2020 – today
- 2022
[i2]Yohei Baba, Takuro Hoshi, Ryosuke Mori, Gaurang Gavai:
Supervised Anomaly Detection Method Combining Generative Adversarial Networks and Three-Dimensional Data in Vehicle Inspections. CoRR abs/2212.11507 (2022)- 2021
- [i1]Takuro Hoshi, Yohei Baba, Gaurang Gavai:
Railway Anomaly detection model using synthetic defect images generated by CycleGAN. CoRR abs/2102.12595 (2021)
2010 – 2019
- 2019
- [c6]Francisco Torres, Hoda Eldardiry, Gaurang Gavai, Chad Ramos:
Collaborative Learning of Concept Representations for Video Data. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - [c5]Gaurang Gavai, Hoda Eldardiry
, Wencheng Wu, Beilei Xu, Yoshihiro Komatsu, Shigeki Makino:
Hybrid image-based defect detection for railroad maintenance. IMSE 2019: 1-7 - 2017
- [c4]Gaurang Gavai, Marzieh Nabi, Danny Bobrow, Saied Shahraz:
Heterogenous Knowledge Discovery from Medical Data Ontologies. ICHI 2017: 519-523 - [c3]Marzieh Nabi, Adam Arvay, Matthew Klenk, Gaurang Gavai, Daniel G. Bobrow, Johan de Kleer:
Position Article on Integrating Data and Model to Understand Disease Interactions. ICHI 2017: 562-567 - 2015
- [j1]Gaurang Gavai, Kumar Sricharan, Dave Gunning, John Hanley, Mudita Singhal, Rob Rolleston:
Supervised and Unsupervised methods to detect Insider Threat from Enterprise Social and Online Activity Data. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 6(4): 47-63 (2015) - [c2]Gaurang Gavai, Kumar Sricharan, Dave Gunning, Rob Rolleston, John Hanley, Mudita Singhal:
Detecting Insider Threat from Enterprise Social and Online Activity Data. MIST@CCS 2015: 13-20 - 2014
- [c1]Gaurang Gavai, Kumar Sricharan, Juan Liu, Oliver Brdiczka, John Hanley:
Predicting Company Quitting From Online Social Enterprise Activity. SNAKDD 2014: 11:1-11:5
Coauthor Index
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