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PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy.

, , , , , , , , and . Bioinformatics, 34 (4): 684-687 (2018)

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Analysis of Semi-Supervised Learning with the Yarowsky Algorithm., and . UAI, page 159-166. AUAI Press, (2007)Optimizing Multivariate Performance Measures for Learning Relation Extraction Models., , and . HLT-NAACL, page 892-900. The Association for Computational Linguistics, (2015)Medical Multimodal Classifiers Under Scarce Data Condition., , , and . CoRR, (2019)Cognate Identification to improve Phylogenetic trees for Indian Languages., , , and . COMAD/CODS, page 297-300. ACM, (2019)Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model., and . COLING, page 1421-1429. Association for Computational Linguistics, (2018)Learning to Actively Learn Neural Machine Translation., , and . CoNLL, page 334-344. Association for Computational Linguistics, (2018)Noisy Or-based model for Relation Extraction using Distant Supervision., , and . EMNLP, page 1937-1941. ACL, (2014)An Infinite Hierarchical Bayesian Model of Phrasal Translation., and . ACL (1), page 780-790. The Association for Computer Linguistics, (2013)An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing., , and . ACL (Short Papers), page 710-714. The Association for Computer Linguistics, (2011)Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection., , , and . EMNLP (1), page 3335-3346. Association for Computational Linguistics, (2021)