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ONE-M: Modeling the Co-evolution of Opinions and Network Connections.

, , , , , , , and . ECML/PKDD (2), volume 11052 of Lecture Notes in Computer Science, page 122-140. Springer, (2018)

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Social context perception for mobile robots., and . IROS, page 3621-3627. IEEE, (2015)Link Prediction in a Semi-bipartite Network for Recommendation., and . ACIIDS (2), volume 9622 of Lecture Notes in Computer Science, page 127-135. Springer, (2016)Gender Prediction Through Synthetic Resampling of User Profiles Using SeqGANs., , , and . CSoNet, volume 11917 of Lecture Notes in Computer Science, page 363-370. Springer, (2019)Beyond Who and What: Data Driven Approaches for User Characterization.. WSDM, page 753-754. ACM, (2018)Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring., , , and . Big Data, 5 (4): 337-355 (2017)LiMAML: Personalization of Deep Recommender Models via Meta Learning., , , , , , , , , and 3 other author(s). CoRR, (2024)Connecting the dots to infer followers' topical interest on Twitter., , and . BESC, page 1-6. IEEE, (2016)Disguise detection and face recognition in visible and thermal spectrums., , , and . ICB, page 1-8. IEEE, (2013)ONE-M: Modeling the Co-evolution of Opinions and Network Connections., , , , , , , and . ECML/PKDD (2), volume 11052 of Lecture Notes in Computer Science, page 122-140. Springer, (2018)