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Selecting Graph Cut Solutions via Global Graph Similarity.

, , and . IEEE Trans. Neural Networks Learn. Syst., 25 (7): 1407-1412 (2014)

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Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning., , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 2560-2567. IOS Press, (2023)Boosting prior knowledge in streaming variational Bayes., , , , and . Neurocomputing, (2021)ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra., , and . Bioinform., 35 (14): i164-i172 (2019)Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer?. CoRR, (2022)Fast and Robust Multi-View Multi-Task Learning via Group Sparsity., , and . IJCAI, page 3499-3505. ijcai.org, (2019)Simple but effective methods for combining kernels in computational biology., , , and . RIVF, page 71-78. IEEE, (2008)A survey on adverse drug reaction studies: data, tasks and machine learning methods., , and . Briefings Bioinform., 22 (1): 164-177 (2021)Selecting Graph Cut Solutions via Global Graph Similarity., , and . IEEE Trans. Neural Networks Learn. Syst., 25 (7): 1407-1412 (2014)Latent Feature Kernels for Link Prediction on Sparse Graphs., and . IEEE Trans. Neural Networks Learn. Syst., 23 (11): 1793-1804 (2012)An Imbalanced Data Rule Learner., and . PKDD, volume 3721 of Lecture Notes in Computer Science, page 617-624. Springer, (2005)