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Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes., and . BMC Bioinform., 22 (1): 500 (2021)miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact., , , , and . CIBCB, page 1-7. IEEE, (2020)Genotype-to-Phenotype Associations with Frequented Region Variants., , , , , and . BIBM, page 114-119. IEEE, (2023)Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3., , , , , , , , , and . BCB, page 25:1-25:6. ACM, (2023)Vegetation Coverage in Marsh Grass Photography Using Convolutional Neural Networks., , , , and . FLAIRS, (2021)RDoC Task at BioNLP-OST 2019., , , and . BioNLP-OST@EMNLP-IJNCLP, page 216-226. Association for Computational Linguistics, (2019)Overview of the BioCreative VI text-mining services for Kinome Curation Track., , , , , , , , and . Database J. Biol. Databases Curation, (2018)miRNAFinder: A comprehensive web resource for plant Pre-microRNA classification., , , , and . Biosyst., (2022)BioSGAN: Protein-Phenotype Co-mention Classification Using Semi-Supervised Generative Adversarial Networks., and . CBMS, page 468-473. IEEE, (2021)DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides., and . PACBB, volume 1240 of Advances in Intelligent Systems and Computing, page 60-69. Springer, (2020)