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MTLB-STRUCT @Parseme 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models.

, , and . MWE-LEX, page 142-148. Association for Computational Linguistics, (2020)

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Teaching citizen scientists to categorize glitches using machine learning guided training., , , , , , , , , and 4 other author(s). Comput. Hum. Behav., (2020)DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors., , , , and . IEEE BigData, page 84-91. IEEE, (2018)Posterior-based sparse representation for automatic speech recognition., , , and . INTERSPEECH, page 2454-2458. ISCA, (2014)Knowledge Tracing to Model Learning in Online Citizen Science Projects., , , , , , , , , and 4 other author(s). IEEE Trans. Learn. Technol., 13 (1): 123-134 (2020)Audiovisual Fusion: Challenges and New Approaches., , and . Proc. IEEE, 103 (9): 1635-1653 (2015)Leveraging Semi-Supervised Learning for Fairness using Neural Networks., , , , and . ICMLA, page 50-55. IEEE, (2019)MTLB-STRUCT @Parseme 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models., , and . MWE-LEX, page 142-148. Association for Computational Linguistics, (2020)Semi-supervised Deep Representation Learning for Multi-View Problems., , , , , and . IEEE BigData, page 56-64. IEEE, (2018)Implementation and evaluation of statistical parametric speech synthesis methods for the Persian language., , and . MLSP, page 1-6. IEEE, (2011)Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images., , , , , and . EUSIPCO, page 2111-2115. IEEE, (2016)