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ORCIDPallabi Saikia
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2020 – today
- 2024
[j3]Pallabi Saikia
, Rashmi Dutta Baruah:
GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data. Neural Comput. Appl. 36(14): 7799-7816 (2024)- 2022
- [c8]Pallabi Saikia, Dhwani Dholaria, Priyanka Yadav, Vaidehi Patel, Mohendra Roy:
A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features. IJCNN 2022: 1-7 - [c7]Pallabi Saikia, Kshitij Gundale, Ankit Jain, Dev Jadeja, Harvi Patel, Mohendra Roy:
Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach. IJCNN 2022: 1-8 - [i3]Pallabi Saikia, Kshitij Gundale, Ankit Jain, Dev Jadeja, Harvi Patel, Mohendra Roy:
Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach. CoRR abs/2207.13500 (2022) - [i2]Pallabi Saikia, Dhwani Dholaria, Priyanka Yadav, Vaidehi Patel, Mohendra Roy:
A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features. CoRR abs/2208.00788 (2022) - 2021
- [c6]Prithviraj Kanaujia, Pallabi Saikia, Deepankar Nankani:
Restoring Face Occluded Images Using GAN Based Inpainting with Perceptual and Contextual Losses. PReMI 2021: 439-447 - 2020
- [j2]Pallabi Saikia, Rashmi Dutta Baruah, Sanjay Kumar Singh, Pradip Kumar Chaudhuri:
Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models. Comput. Geosci. 135: 104357 (2020) - [j1]Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Alan Peters:
A review of deep learning with special emphasis on architectures, applications and recent trends. Knowl. Based Syst. 194: 105596 (2020) - [c5]Deepankar Nankani, Pallabi Saikia, Rashmi Dutta Baruah:
Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks. CinC 2020: 1-4
2010 – 2019
- 2019
- [c4]Pallabi Saikia, Deepankar Nankani, Rashmi Dutta Baruah:
Seismic Signal Interpretation for Reservoir Facies Classification. PReMI (2) 2019: 409-417 - [c3]Pallabi Saikia, Rashmi Dutta Baruah:
Investigating Stacked Ensemble Model for Oil Reservoir Characterisation. SMC 2019: 13-20 - [i1]Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Richard Alan Peters:
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends. CoRR abs/1905.13294 (2019) - 2018
- [c2]Pallabi Saikia, Prateek Vij, Rashmi Dutta Baruah:
Unsupervised Pre-training on Improving the Performance of Neural Network in Regression. IJCNN 2018: 1-6 - [c1]Pallabi Saikia, Rashmi Dutta Baruah:
An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems. SSCI 2018: 342-349
Coauthor Index
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