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ATMem: adaptive data placement in graph applications on heterogeneous memories., , , , и . CGO, стр. 293-304. ACM, (2020)Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms., , , , , и . ICS, стр. 11:1-11:13. ACM, (2020)New Approach to Improve Starting Performance of Induction Motor Based on Optimal Starting Frequency., , , , и . IEEE Access, (2024)Deep Fuzzy Cognitive Maps for Interpretable Multivariate Time Series Prediction., , , , и . IEEE Trans. Fuzzy Syst., 29 (9): 2647-2660 (2021)Learning dynamic graph representations through timespan view contrasts., , , , и . Neural Networks, (2024)Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence., , , , и . Sensors, 17 (3): 549 (2017)Design and Implementation of a Digital Angular Rate Sensor., , и . Sensors, 10 (11): 9581-9589 (2010)A Scalable Nonoverlapping and Nonconformal Domain Decomposition Method for Solving Time-Harmonic Maxwell Equations in R3., и . SIAM J. Sci. Comput., (2012)Graph Representation Learning via Graphical Mutual Information Maximization., , , , , , и . WWW, стр. 259-270. ACM / IW3C2, (2020)Curiosity-driven learning with Context Tree Weighting., и . ICDL-EPIROB, стр. 366-367. IEEE, (2014)