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A Semi-supervised Graph Deep Neural Network for Automatic Protein Function Annotation., , , , и . IWBBIO (2), том 13347 из Lecture Notes in Computer Science, стр. 153-166. Springer, (2022)A data sampling and attribute selection strategy for improving decision tree construction., , , , , и . Expert Syst. Appl., (2019)Negative sampling and rule mining for explainable link prediction in knowledge graphs., , и . Knowl. Based Syst., (2022)On the design of a similarity function for sparse binary data with application on protein function annotation., , , , , , , и . Knowl. Based Syst., (2022)Towards big services: a synergy between service computing and parallel programming., , , и . Computing, 103 (11): 2479-2519 (2021)Functional Annotation of Proteins using Domain Embedding based Sequence Classification., , и . KDIR, стр. 163-170. ScitePress, (2019)Graph Based Automatic Protein Function Annotation Improved by Semantic Similarity., , , и . IWBBIO, том 12108 из Lecture Notes in Computer Science, стр. 261-272. Springer, (2020)A Structure Based Multiple Instance Learning Approach for Bacterial Ionizing Radiation Resistance Prediction., , , и . KES, том 159 из Procedia Computer Science, стр. 342-351. Elsevier, (2019)Un algorithme distribué pour le clustering de grands graphes., , , , и . EGC, том E-36 из RNTI, стр. 349-356. Éditions RNTI, (2020)Simple Negative Sampling for Link Prediction in Knowledge Graphs., , и . COMPLEX NETWORKS, том 1016 из Studies in Computational Intelligence, стр. 549-562. Springer, (2021)