Sanket Biswas
Cited by
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A statistical approach to predict flight delay using gradient boosted decision tree
S Manna, S Biswas, R Kundu, S Rakshit, P Gupta, S Barman
2017 International conference on computational intelligence in data science …, 2017
Navo minority over-sampling technique (NMOTe): a consistent performance booster on imbalanced datasets
N Chakrabarty, S Biswas
Journal of Electronics 2 (02), 96-136, 2020
DocEnTr: An end-to-end document image enhancement transformer
MA Souibgui*, S Biswas*, SK Jemni, Y Kessentini, A Fornés, J Lladós, ...
2022 26th International Conference on Pattern Recognition (ICPR), 1699-1705, 2022
DocSegTr: an instance-level end-to-end document image segmentation transformer
S Biswas, A Banerjee, J Lladós, U Pal
arXiv preprint arXiv:2201.11438, 2022
Beyond document object detection: instance-level segmentation of complex layouts
S Biswas, P Riba, J Lladós, U Pal
International Journal on Document Analysis and Recognition(IJDAR), 1-13, 2021
A statistical approach to adult census income level prediction
N Chakrabarty, S Biswas
2018 International Conference on Advances in Computing, Communication …, 2018
Prediction of diabetes type-II using a two-class neural network
S Rakshit, S Manna, S Biswas, R Kundu, P Gupta, S Maitra, S Barman
Computational Intelligence, Communications, and Business Analytics: First …, 2017
Fault area detection in leaf diseases using k-means clustering
S Maity, S Sarkar, A Vinaba Tapadar, A Dutta, S Biswas, S Nayek, P Saha
2018 2nd International conference on trends in electronics and informatics …, 2018
ICDAR 2023 competition on document understanding of everything (DUDE)
J Van Landeghem, R Tito, Ł Borchmann, M Pietruszka, D Jurkiewicz, ...
International Conference on Document Analysis and Recognition, 420-434, 2023
Docsynth: a layout guided approach for controllable document image synthesis
S Biswas, P Riba, J Lladós, U Pal
International Conference on Document Analysis and Recognition, 555-568, 2021
Doc2graph: a task agnostic document understanding framework based on graph neural networks
A Gemelli, S Biswas, E Civitelli, J Lladós, S Marinai
European Conference on Computer Vision, 329-344, 2022
Complete statistical analysis to weather forecasting
A Datta, S Si, S Biswas
Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 …, 2020
Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement
MA Souibgui*, S Biswas*, A Mafla*, AF Biten*, A Fornés, Y Kessentini, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2330-2338, 2023
SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentation
A Banerjee*, S Biswas*, J Lladós, U Pal (*Equal Contribution)
International Conference on Document Analysis and Recognition, 307-325, 2023
Strategic Markowitz portfolio optimization (SMPO): a portfolio return booster
N Chakrabarty, S Biswas
2019 9th Annual Information Technology, Electromechanical Engineering and …, 2019
SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation
S Maity*, S Biswas*, S Manna, A Banerjee, J Lladós, S Bhattacharya, ...
International Conference on Document Analysis and Recognition, 342-360, 2023
AI based fault detection on leaf and disease prediction using K-means clustering
S Sarkar, S Biswas, A Tapadar, P Saha
Int. Res. Eng. Technol, 2018
A few shot multi-representation approach for n-gram spotting in historical manuscripts
G De Gregorio, S Biswas, MA Souibgui, A Bensalah, J Lladós, A Fornés, ...
International Conference on Frontiers in Handwriting Recognition, 3-17, 2022
Graph-based deep generative modelling for document layout generation
S Biswas, P Riba, J Lladós, U Pal
International Conference on Document Analysis and Recognition, 525-537, 2021
Can Pre-trained Language Models Help in Understanding Handwritten Symbols?
A Tiwari, S Biswas, J Lladós
International Conference on Document Analysis and Recognition, 199-211, 2023
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