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Neelanshi Varia
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2020 – today
- 2021
- [j2]Santiago López-Tapia, Pablo Ruiz, Mitchell Smith, Jeffrey Matthews, Bradley Zercher, Liliana Sydorenko, Neelanshi Varia, Yuanzhe Jin, Minzi Wang, Jennifer B. Dunn, Aggelos K. Katsaggelos:
Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands. Int. J. Appl. Earth Obs. Geoinformation 105: 102581 (2021) - [i3]Yuanzhe Jin, Neelanshi Varia, Chixiang Wang:
The Importance of Autonomous Driving Using 5G Technology. CoRR abs/2108.08966 (2021) - 2020
- [j1]J. Senthilnath, Neelanshi Varia, Akanksha Dokania, Gaotham Anand, Jón Atli Benediktsson:
Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery. Remote. Sens. 12(2): 245 (2020)
2010 – 2019
- 2018
- [c2]Neelanshi Varia, Akanksha Dokania, Senthilnath Jayavelu:
DeepExt: A Convolution Neural Network for Road Extraction using RGB images captured by UAV. SSCI 2018: 1890-1895 - [c1]Akanksha Dokania, Neelanshi Varia, Senthilnath Jayavelu:
EObjCount: An Evolving Spectral and Spatial Approach for Tree Count using Multispectral Satellite Images. SSCI 2018: 1896-1901 - 2017
- [i2]Mahipal Jadeja, Neelanshi Varia:
Perspectives for Evaluating Conversational AI. CoRR abs/1709.04734 (2017) - [i1]Mahipal Jadeja, Neelanshi Varia, Agam Shah:
Deep Reinforcement Learning for Conversational AI. CoRR abs/1709.05067 (2017)
Coauthor Index
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