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The design of Discovery Net: Towards open grid services for knowledge discovery, , , , , , , , , и . (2003)https: / / doi. org / 10. 1177 / 1094342003173003.DropNeuron: Simplifying the Structure of Deep Neural Networks., , и . CoRR, (2016)Supporting scientific discovery processes in Discovery Net., , и . Concurr. Comput. Pract. Exp., 19 (2): 167-179 (2007)Eight Times Acceleration of Geospatial Data Archiving and Distribution on the Grids., , , , , , , , , и . IEEE Trans. Geosci. Remote. Sens., 47 (5): 1444-1453 (2009)Exploratory Analysis of Big Social Data Using MIC/MINE Statistics., , , , и . SocInfo (2), том 10540 из Lecture Notes in Computer Science, стр. 513-526. Springer, (2017)DSIMBench: A Benchmark for Microarray Data Using R., , , , , , и . BPOE@ASPLOS/VLDB, том 8807 из Lecture Notes in Computer Science, стр. 47-56. Springer, (2014)Towards a large-scale twitter observatory for political events., , , , , и . Future Gener. Comput. Syst., (2020)Explanations by arbitrated argumentative dispute., , , , , , , и . Expert Syst. Appl., (2019)FedEL: Federated ensemble learning for non-iid data., , , , , , , и . Expert Syst. Appl., 237 (Part A): 121390 (марта 2024)Cloud-VAE: Variational autoencoder with concepts embedded., , , , , , и . Pattern Recognit., (августа 2023)