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Ankur Garg
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2020 – today
- 2024
- [j5]Ankur Garg, Yogesh Agarwal, Rajiv Kumar Srivastava, Suresh Kumar Jakhar:
Integrated commercial and operations planning model for schedule design, aircraft rotation and crew scheduling in airlines. Networks 83(4): 653-672 (2024) - 2023
- [j4]Aditya Dixit, Anup Kumar Gupta, Puneet Gupta, Saurabh Srivastava, Ankur Garg:
UNFOLD: 3-D U-Net, 3-D CNN, and 3-D Transformer-Based Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - [c7]Kewal Shah, Ankur Garg, Carrie Bruce:
Improving Web Accessibility Testing with Microsoft's Accessibility Insights for Web. HCI (44) 2023: 358-365 - [c6]Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua New, Ankur Garg, Santiago Correa, Kevin Bacabac:
Bias Correction in Urban Building Energy Modeling for Chicago Using Machine Learning. IDSTA 2023: 91-98 - 2022
- [j3]Neeraj Badal, Rajiv Soundararajan, Ankur Garg, Abhishek Patil:
No Reference Pansharpened Image Quality Assessment Through Deep Feature Similarity. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7235-7247 (2022) - 2021
- [j2]Panthadeep Bhattacharjee, Ankur Garg, Pinaki Mitra:
KAGO: an approximate adaptive grid-based outlier detection approach using kernel density estimate. Pattern Anal. Appl. 24(4): 1825-1846 (2021)
2010 – 2019
- 2019
- [c5]Ankur Garg, Aman Kharb, Yash H. Malviya, J. P. Sagar, Atanu R. Sinha, Iftikhar Ahamath Burhanuddin, Sunav Choudhary:
Mentor Pattern Identification from Product Usage Logs. PAKDD (3) 2019: 359-371 - [i4]Anirban Santara, Jayeeta Datta, Sourav Sarkar, Ankur Garg, Kirti Padia, Pabitra Mitra:
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images. CoRR abs/1904.04547 (2019) - [i3]Litu Rout, Yatharath Bhateja, Ankur Garg, Indranil Mishra, S. Manthira Moorthi, Debajyoti Dhar:
DeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets. CoRR abs/1905.02749 (2019) - [i2]Ramit Pahwa, Manoj Ghuhan Arivazhagan, Ankur Garg, Siddarth Krishnamoorthy, Rohit Saxena, Sunav Choudhary:
Data-Driven Compression of Convolutional Neural Networks. CoRR abs/1911.12740 (2019) - 2017
- [j1]Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra:
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(9): 5293-5301 (2017) - [c4]Ankur Garg, Varun Syal, Pankaj Gudlani, Dhaval Patel:
Mining Credible and Relevant News from Social Networks. BDA 2017: 90-102 - [c3]Ankur Garg, Sunav Choudhary, Payal Bajaj, Sweta Agrawal, Abhishek Kedia, Shubham Agrawal:
Smart Geo-fencing with Location Sensitive Product Affinity. SIGSPATIAL/GIS 2017: 39:1-39:10 - 2016
- [c2]Utkarsh Ojha, Ankur Garg:
Denoising High Resolution Multispectral Images Using Deep Learning Approach. ICMLA 2016: 871-875 - [i1]Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra:
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. CoRR abs/1612.00144 (2016)
1990 – 1999
- 1999
- [c1]Ankur Garg, David J. Perreault, George C. Verghese:
Feedback control of paralleled symmetric systems, with applications to nonlinear dynamics of paralleled power converters. ISCAS (5) 1999: 192-197
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