Pallabi Saikia

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Regression Problems

Top Venues

Publications

Pallabi Saikia, Rashmi Dutta Baruah
GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data. Neural Comput. Appl. 36 (14) (2024)
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)
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 (2022)
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)
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 (2022)
Prithviraj Kanaujia, Pallabi Saikia, Deepankar Nankani
Restoring Face Occluded Images Using GAN Based Inpainting with Perceptual and Contextual Losses. PReMI (2021)
Deepankar Nankani, Pallabi Saikia, Rashmi Dutta Baruah
Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks. CinC (2020)
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 (2020)
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 (2020)
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 (2019)
Pallabi Saikia, Rashmi Dutta Baruah
Investigating Stacked Ensemble Model for Oil Reservoir Characterisation. SMC (2019)
Pallabi Saikia, Deepankar Nankani, Rashmi Dutta Baruah
Seismic Signal Interpretation for Reservoir Facies Classification. PReMI (2) (2019)
Pallabi Saikia, Rashmi Dutta Baruah
An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems. SSCI (2018)
Pallabi Saikia, Prateek Vij, Rashmi Dutta Baruah
Unsupervised Pre-training on Improving the Performance of Neural Network in Regression. IJCNN (2018)