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DMIL-IsoFun: predicting isoform function using deep multi-instance learning.

, , , , and . Bioinform., 37 (24): 4818-4825 (2021)

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A New Framework for Centrality Measures in Multiplex Networks., , , and . CoRR, (2018)Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data., and . ECML, volume 4212 of Lecture Notes in Computer Science, page 509-520. Springer, (2006)Predicting protein functions using incomplete hierarchical labels., , and . BMC Bioinform., (2015)Integrating multiple networks for protein function prediction., , , and . BMC Syst. Biol., 9 (S-1): S3 (2015)Finding Community Topics and Membership in Graphs., , , and . ECML/PKDD (2), volume 9285 of Lecture Notes in Computer Science, page 625-640. Springer, (2015)Latent Dirichlet Bayesian Co-Clustering., , and . ECML/PKDD (2), volume 5782 of Lecture Notes in Computer Science, page 522-537. Springer, (2009)Exploration of Different Constraints and Query Methods with Kernel-based Semi-supervised Clustering., and . SMC, page 829-834. IEEE, (2006)Meta Multi-Instance Multi-Label learning by heterogeneous network fusion., , , , , , , and . Inf. Fusion, (June 2023)Multi-label zero-shot learning with graph convolutional networks., , , , and . Neural Networks, (2020)Protein Function Prediction Using Dependence Maximization., , , and . ECML/PKDD (1), volume 8188 of Lecture Notes in Computer Science, page 574-589. Springer, (2013)