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Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets, , , and . European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), volume 8726 of Lecture Notes in Computer Science, page 460-463. Springer Berlin Heidelberg, (2014)Personalized recommender systems for product-line configuration processes, , , , and . Computer Languages, Systems & Structures, (2018)xStreams: Recommending Items to Users with Time-evolving Preferences., , , , and . WIMS, page 22:1-22:12. ACM, (2014)Eigenvector-based clustering using aggregated similarity matrices., , and . SAC, page 1083-1087. ACM, (2010)Services in electronic telecommunication markets: a framework for planning the virtualization of processes., , and . Electron. Mark., 20 (3-4): 197-207 (2010)Plantar temperatures in stance position: A comparative study with healthy volunteers and diabetes patients diagnosed with sensoric neuropathy, , , , , , , , , and . EBioMedicine, (2020)Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus–stress associations based on the TrackYourTinnitus mobile platform, , , , , , , and . International Journal of Data Science and Analytics, (2018)Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity, , , , , , , and . International Journal of Data Science and Analytics, (2019)Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus--stress associations based on the TrackYourTinnitus mobile platform, , , , , , , and . International Journal of Data Science and Analytics, 8 (4): 327--338 (Nov 1, 2019)Introduction to the special issue on social data analytics in medicine and healthcare, , , , , and . International Journal of Data Science and Analytics, 8 (4): 325--326 (Nov 1, 2019)