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ORCIDSubhradeep Kayal
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2020 – today
- 2024
[c13]Subhradeep Kayal, Alexander Rakhlin, Ali Dashti, Serguei Stepaniants:
How Far Is Too Far? Studying the Effects of Domain Discrepancy on Masked Language Models. LREC/COLING 2024: 8192-8199- 2023
- [i7]Shuai Chen, Subhradeep Kayal, Marleen de Bruijne:
Source Identification: A Self-Supervision Task for Dense Prediction. CoRR abs/2307.02238 (2023) - 2022
- [c12]Ramon Dijkstra, Zülküf Genç, Subhradeep Kayal, Jaap Kamps:
Reading Comprehension Quiz Generation using Generative Pre-trained Transformers. iTextbooks@AIED 2022: 4-17 - [i6]Debarati Bhaumik, Diptish Dey, Subhradeep Kayal:
A Framework for Auditing Multilevel Models using Explainability Methods. CoRR abs/2207.01611 (2022) - 2021
- [c11]Subhradeep Kayal:
Unsupervised Sentence-embeddings by Manifold Approximation and Projection. EACL 2021: 1-11 - [c10]Minh Le, Subhradeep Kayal:
Revisiting Edge Detection in Convolutional Neural Networks. IJCNN 2021: 1-9 - [c9]Anina Troya, Reshmi Gopalakrishna Pillai, Cristian Rodriguez Rivero
, Zulkuf Genc, Subhradeep Kayal, Dogu Araci:
Aspect-Based Sentiment Analysis of Social Media Data With Pre-Trained Language Models. NLPIR 2021: 8-17 - [i5]Subhradeep Kayal:
Unsupervised Sentence-embeddings by Manifold Approximation and Projection. CoRR abs/2102.03795 (2021) - 2020
- [c8]Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne:
Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images. ISBI 2020: 586-590 - [c7]Subhradeep Kayal, Shuai Chen, Marleen de Bruijne:
Region-of-Interest Guided Supervoxel Inpainting for Self-supervision. MICCAI (1) 2020: 500-509 - [i4]Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne:
Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images. CoRR abs/2004.11989 (2020) - [i3]Subhradeep Kayal, Shuai Chen, Marleen de Bruijne:
Region-of-interest guided Supervoxel Inpainting for Self-supervision. CoRR abs/2006.15186 (2020) - [i2]Minh Le, Subhradeep Kayal:
Revisiting Edge Detection in Convolutional Neural Networks. CoRR abs/2012.13576 (2020)
2010 – 2019
- 2019
- [c6]Subhradeep Kayal, George Tsatsaronis:
EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition. ACL (1) 2019: 4536-4546 - [c5]Minh Le, Subhradeep Kayal, Andrew Douglas:
The Impact of Recommenders on Scientific Article Discovery: The Case of Mendeley Suggest. ImpactRS@RecSys 2019 - 2018
- [c4]Subhradeep Kayal, Zubair Afzal, George Tsatsaronis, Marius A. Doornenbal, Sophia Katrenko, Michelle Gregory:
A Framework to Automatically Extract Funding Information from Text. LOD 2018: 317-328 - 2017
- [j1]Subhradeep Kayal:
Unsupervised image segmentation using the Deffuant-Weisbuch model from social dynamics. Signal Image Video Process. 11(8): 1405-1410 (2017) - [c3]Subhradeep Kayal, Zubair Afzal, George Tsatsaronis, Sophia Katrenko, Pascal Coupet, Marius A. Doornenbal, Michelle Gregory:
Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models. BioNLP 2017: 216-221 - 2016
- [i1]Subhradeep Kayal:
Unsupervised Image Segmentation using the Deffuant-Weisbuch Model from Social Dynamics. CoRR abs/1604.04393 (2016) - 2014
- [c2]Subhradeep Kayal:
Improved Hierarchical Clustering for Face Images in Videos: Integrating positional and temporal information with HAC. ICMR 2014: 455 - 2013
- [c1]Subhradeep Kayal:
Face clustering in videos: GMM-based hierarchical clustering using Spatio-Temporal data. UKCI 2013: 272-278
Coauthor Index
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