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Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner., , , , , and . NeuroImage, (2022)A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies., , , , , , , , , and 4 other author(s). NeuroImage, (2022)emPDBA: protein-DNA binding affinity prediction by combining features from binding partners and interface learned with ensemble regression model., , , , , , and . Briefings Bioinform., (July 2023)Quality Assessment for Stitched Panoramic Images via Patch Registration and Bidimensional Feature Aggregation., , , , , and . IEEE Trans. Multim., (2024)EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA-protein interaction prediction., , , , , , and . BMC Bioinform., 22 (1): 133 (2021)Phenotype discovery from population brain imaging., , and . Medical Image Anal., (2021)Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results., , , , , , , , , and 3 other author(s). Bioinform., 35 (19): 3771-3778 (2019)Transfer Learning Models on Brain Age Prediction., , , and . ISICDM, page 278-282. ACM, (2019)DM-RPIs: Predicting ncRNA-protein interactions using stacked ensembling strategy., , , , , and . Comput. Biol. Chem., (2019)Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification., , , , and . BMC Bioinform., 21 (1): 57 (2020)