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Correlated Wasserstein Autoencoder for Implicit Data Recommendation., , , and . WI/IAT, page 417-422. IEEE, (2020)Robotic automatic assembly for quasi-LIGA microparts., , , , and . ICIA, page 1076-1081. IEEE, (2013)Demonstration of software-defined flexible-PON with adaptive data rates between 13.8 Gb/s and 5.2 Gb/s supporting link loss budgets between 15 dB and 35 dB., , , , , , , , , and . ECOC, page 1-3. IEEE, (2014)Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks., , and . ICDE Workshops, page 286-293. IEEE, (2019)Metadata-based Multi-Attribute Utility Group Recommendation., , , , and . Int. J. Perform. Eng., 16 (6): 896-905 (2020)A stochastic chemostat model with mean-reverting Ornstein-Uhlenbeck process and Monod-Haldane response function., and . Appl. Math. Comput., (2021)Simultaneous Integrated Functional Magnetic Resonance Imaging and Optical Tomography in the Near Infrared Spectrum (Sinfonis) for Studying Hemodynamic and Neuronal Responses in the Human Brain. University of Illinois Urbana-Champaign, USA, (2005)Probing Negative Sampling for Contrastive Learning to Learn Graph Representations., , , , and . ECML/PKDD (2), volume 12976 of Lecture Notes in Computer Science, page 434-449. Springer, (2021)SLAM Loop Closure Detection and Verification based on the Improved Siamese Network., , , and . CISP-BMEI, page 1-6. IEEE, (2021)CADPP: An Effective Approach to Recommend Attentive and Diverse Long-tail Items., and . WI/IAT, page 218-225. ACM, (2021)