Pallabi Saikia

According to our database, Pallabi Saikia authored at least 10 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach.

Pallabi Saikia, Kshitij Gundale, Ankit Jain, Dev Jadeja, Harvi Patel, Mohendra Roy

Proceedings of the International Joint Conference on Neural Networks, 2022

A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features.

Pallabi Saikia, Dhwani Dholaria, Priyanka Yadav, Vaidehi Patel, Mohendra Roy

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

A review of deep learning with special emphasis on architectures, applications and recent trends.

Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Alan Peters

Knowl. Based Syst., 2020

Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models.

Pallabi Saikia, Rashmi Dutta Baruah, Sanjay Kumar Singh, Pradip Kumar Chaudhuri

Comput. Geosci., 2020

Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks.

Deepankar Nankani, Pallabi Saikia, Rashmi Dutta Baruah

Proceedings of the Computing in Cardiology, 2020

2019

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends.

Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Richard Alan Peters

CoRR, 2019

Investigating Stacked Ensemble Model for Oil Reservoir Characterisation.

Pallabi Saikia, Rashmi Dutta Baruah

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Seismic Signal Interpretation for Reservoir Facies Classification.

Pallabi Saikia, Deepankar Nankani, Rashmi Dutta Baruah

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2018

An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems.

Pallabi Saikia, Rashmi Dutta Baruah

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Unsupervised Pre-training on Improving the Performance of Neural Network in Regression.

Pallabi Saikia, Prateek Vij, Rashmi Dutta Baruah

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018