Pallabi Saikia

15 papers B 4Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainability in Generative Medical Diffusion Models: A Faithfulness-Based Analysis on MRI Synthesis. CoRR Surjo Dey, Pallabi Saikia
2024	J	`jnl`	GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data. Neural Comput. Appl. Pallabi Saikia, Rashmi Dutta Baruah
2022	B	`conf`	A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features. IJCNN Pallabi Saikia, Dhwani Dholaria, Priyanka Yadav, Vaidehi Patel, Mohendra Roy
2022	J	`jnl`	A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features. CoRR Pallabi Saikia, Dhwani Dholaria, Priyanka Yadav, Vaidehi Patel, Mohendra Roy
2022	B	`conf`	Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach. IJCNN Pallabi Saikia, Kshitij Gundale, Ankit Jain, Dev Jadeja, Harvi Patel, Mohendra Roy
2022	J	`jnl`	Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach. CoRR Pallabi Saikia, Kshitij Gundale, Ankit Jain, Dev Jadeja, Harvi Patel, Mohendra Roy
2021	—	`conf`	Restoring Face Occluded Images Using GAN Based Inpainting with Perceptual and Contextual Losses. PReMI Prithviraj Kanaujia, Pallabi Saikia, Deepankar Nankani
2020	J	`jnl`	A review of deep learning with special emphasis on architectures, applications and recent trends. Knowl. Based Syst. Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Alan Peters
2020	J	`jnl`	Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models. Comput. Geosci. Pallabi Saikia, Rashmi Dutta Baruah, Sanjay Kumar Singh, Pradip Kumar Chaudhuri
2020	—	`conf`	Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks. CinC Deepankar Nankani, Pallabi Saikia, Rashmi Dutta Baruah
2019	J	`jnl`	A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends. CoRR Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Richard Alan Peters
2019	B	`conf`	Investigating Stacked Ensemble Model for Oil Reservoir Characterisation. SMC Pallabi Saikia, Rashmi Dutta Baruah
2019	—	`conf`	Seismic Signal Interpretation for Reservoir Facies Classification. PReMI (2) Pallabi Saikia, Deepankar Nankani, Rashmi Dutta Baruah
2018	—	`conf`	An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems. SSCI Pallabi Saikia, Rashmi Dutta Baruah
2018	B	`conf`	Unsupervised Pre-training on Improving the Performance of Neural Network in Regression. IJCNN Pallabi Saikia, Prateek Vij, Rashmi Dutta Baruah