Multitask representation learning for multimodal estimation of depression level SA Qureshi, S Saha, M Hasanuzzaman, G Dias IEEE Intelligent Systems 34 (5), 45-52, 2019 | 85 | 2019 |
Improving depression level estimation by concurrently learning emotion intensity SA Qureshi, G Dias, M Hasanuzzaman, S Saha IEEE Computational Intelligence Magazine 15 (3), 47-59, 2020 | 47 | 2020 |
Analysing terminology translation errors in statistical and neural machine translation R Haque, M Hasanuzzaman, A Way Machine Translation 34, 149-195, 2020 | 38 | 2020 |
A survey on multi-modal summarization A Jangra, S Mukherjee, A Jatowt, S Saha, M Hasanuzzaman ACM Computing Surveys 55 (13s), 1-36, 2023 | 37 | 2023 |
Maximum entropy approach for named entity recognition in Bengali and Hindi M Hasanuzzaman, A Ekbal, S Bandyopadhyay International Journal of Recent Trends in Engineering 1 (1), 408, 2009 | 35 | 2009 |
Multitask learning for complaint identification and sentiment analysis A Singh, S Saha, M Hasanuzzaman, K Dey Cognitive Computation 14 (1), 212-227, 2022 | 34 | 2022 |
Demographic word embeddings for racism detection on Twitter M Hasanuzzaman, G Dias, A Way Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 33 | 2017 |
Identification of cyberbullying: A deep learning based multimodal approach S Paul, S Saha, M Hasanuzzaman Multimedia Tools and applications, 1-20, 2022 | 31 | 2022 |
Neural machine translation of low-resource languages using SMT phrase pair injection S Sen, M Hasanuzzaman, A Ekbal, P Bhattacharyya, A Way Natural Language Engineering 27 (3), 271-292, 2021 | 31 | 2021 |
Tempowordnet for sentence time tagging GH Dias, M Hasanuzzaman, S Ferrari, Y Mathet Proceedings of the 23rd International Conference on World Wide Web, 833-838, 2014 | 31 | 2014 |
Text-image-video summary generation using joint integer linear programming A Jangra, A Jatowt, M Hasanuzzaman, S Saha Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020 | 29 | 2020 |
Multimodal neural machine translation for low-resource language pairs using synthetic data K Dutta Chowdhury, M Hasanuzzaman, Q Liu Association for Computational Linguistics (ACL), 2018 | 29 | 2018 |
Nanoscale materials for self-cleaning and antibacterial applications MA Mokammel, MJ Islam, M Hasanuzzaman, MSJ Hashmi Encyclopedia of Smart Materials, 315-324, 2022 | 28 | 2022 |
Design of universal shift register using reversible logic MS Al Mamun, I Mandal, M Hasanuzzaman International Journal of Engineering and Technology 2 (9), 1620-1625, 2012 | 27 | 2012 |
Identifying complaints based on semi-supervised mincuts A Singh, S Saha, M Hasanuzzaman, A Jangra Expert Systems with Applications 186, 115668, 2021 | 26 | 2021 |
Temporal orientation of tweets for predicting income of users M Hasanuzzaman, S Kamila, M Kaur, S Saha, A Ekbal Association for Computational Linguistics (ACL), 2017 | 24 | 2017 |
Thermal behaviour of zircon/zirconia-added chemically durable borosilicate porous glass M Hasanuzzaman, M Sajjia, A Rafferty, AG Olabi Thermochimica acta 555, 81-88, 2013 | 24 | 2013 |
Surface, mechanical and shape memory properties of biodegradable polymers and their applications M Sarkar, M Hasanuzzaman, F Gulshan, A Rashid Elsevier, 2022 | 23 | 2022 |
Multi-view clustering for multi-omics data using unified embedding S Mitra, S Saha, M Hasanuzzaman Scientific reports 10 (1), 13654, 2020 | 23 | 2020 |
Voted approach for part of speech tagging in bengali A Ekbal, M Hasanuzzaman, S Bandyopadhyay Proceedings of the 23rd Pacific Asia Conference on Language, Information and …, 2009 | 23 | 2009 |