| Adaptive knowledge sharing in multi-task learning: Improving low-resource neural machine translation P Zaremoodi, W Buntine, G Haffari Annual Meeting of the Association of Computational Linguistics 2018, 656-661, 2018 | 72 | 2018 |
| Detection of evolving concepts in non-stationary data streams: A multiple kernel learning approach SK Siahroudi, PZ Moodi, H Beigy Expert Systems with Applications 91, 187-197, 2018 | 37 | 2018 |
| Novel class detection in data streams using local patterns and neighborhood graph P ZareMoodi, H Beigy, SK Siahroudi Neurocomputing 158, 234-245, 2015 | 35 | 2015 |
| A novel concept drift detection method in data streams using ensemble classifiers M Dehghan, H Beigy, P ZareMoodi Intelligent Data Analysis 20 (6), 1329-1350, 2016 | 30 | 2016 |
| Neural machine translation for bilingually scarce scenarios: a deep multi-task learning approach P Zaremoodi, G Haffari arXiv preprint arXiv:1805.04237, 2018 | 28 | 2018 |
| Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach P ZareMoodi, S Kamali Siahroudi, H Beigy Knowledge and Information Systems 60, 1329-1352, 2019 | 22 | 2019 |
| Incorporating syntactic uncertainty in neural machine translation with forest-to-sequence model P Zaremoodi, G Haffari arXiv preprint arXiv:1711.07019, 2017 | 19 | 2017 |
| A support vector based approach for classification beyond the learned label space in data streams P ZareMoodi, SK Siahroudi, H Beigy Proceedings of the 31st annual ACM symposium on applied computing, 910-915, 2016 | 19 | 2016 |
| Adaptively scheduled multitask learning: The case of low-resource neural machine translation P Zaremoodi, G Haffari Proceedings of the 3rd Workshop on Neural Generation and Translation, 177-186, 2019 | 11 | 2019 |
| Distance-based logit value for natural language processing Y Xu, P Zaremoodi, TT Vu, CDV Hoang, V Blinov, YH Hong, ... US Patent 12,019,994, 2024 | 7 | 2024 |
| Out-of-domain data augmentation for natural language processing EL Jalaluddin, V Vishnoi, TL Duong, ME Johnson, P Zaremoodi, ... US Patent 12,026,468, 2024 | 6 | 2024 |
| Learning to multi-task learn for better neural machine translation P Zaremoodi, G Haffari arXiv preprint arXiv:2001.03294, 2020 | 4 | 2020 |
| Framework for focused training of language models and techniques for end-to-end hypertuning of the framework P Zaremoodi, CDV Hoang, D Vu, B Saha, NN Bhat, TT Vu, TQ Pham, ... US Patent App. 17/952,116, 2023 | 3 | 2023 |
| Multi-feature balancing for natural language processors TL Duong, V Vishnoi, ME Johnson, EL Jalaluddin, TQ Pham, CDV Hoang, ... US Patent App. 17/580,535, 2022 | 3 | 2022 |
| Method and system for over-prediction in neural networks CDV Hoang, TT Vu, P Zaremoodi, Y Xu, V Blinov, YH Hong, ... US Patent App. 17/455,181, 2022 | 3 | 2022 |
| Keyword data augmentation tool for natural language processing EL Jalaluddin, V Vishnoi, TL Duong, ME Johnson, P Zaremoodi, ... US Patent App. 17/452,742, 2022 | 3 | 2022 |
| Calibrating confidence scores of a machine learning model trained as a natural language interface G Tangari, CDV Hoang, ME Johnson, P Zaremoodi, N Mathur, ... US Patent App. 18/107,624, 2024 | 2 | 2024 |
| Method and system for target based hyper-parameter tuning P Zaremoodi, Y Xu, TT Vu, V Blinov, YH Hong, YDTS Dharmasiri, ... US Patent App. 17/216,498, 2021 | 2 | 2021 |
| Output interpretation for a meaning representation language system C Xu, P Zaremoodi, CDV Hoang, N Mathur, P Arthur, SWC Siu, ... US Patent App. 18/321,144, 2024 | 1 | 2024 |
| System and method of selective fine-tuning for custom training of a natural language to logical form model S Subramanian, G Tangari, TT Vu, CDV Hoang, P Zaremoodi, D Guo, ... US Patent App. 18/236,192, 2024 | 1 | 2024 |
Hamid BeigySharif University of Technology確認したメール アドレス: sharif.edu