| 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 | 91 | 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 | 48 | 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 | 42 | 2022 |
| A statistical approach to adult census income level prediction N Chakrabarty, S Biswas 2018 International Conference on Advances in Computing, Communication …, 2018 | 31 | 2018 |
| 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 | 30 | 2021 |
| 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 | 30 | 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 | 26 | 2018 |
| 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 | 25 | 2022 |
| 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 | 22 | 2021 |
| 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 | 21* | 2023 |
| 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 | 19 | 2022 |
| Complete statistical analysis to weather forecasting A Datta, S Si, S Biswas Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 …, 2020 | 16 | 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 | 14* | 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 | 13 | 2023 |
| Strategic Markowitz portfolio optimization (SMPO): a portfolio return booster N Chakrabarty, S Biswas 2019 9th Annual Information Technology, Electromechanical Engineering and …, 2019 | 8 | 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 | 5 | 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 | 5 | 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 | 3 | 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 | 3 | 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 | 2 | 2023 |
Josep LladósComputer Vision Center, Universitat Autònoma de Barcelona在 cvc.uab.es 的电子邮件经过验证
