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Bayesian Optimization for Recommender System.

B. Galuzzi, I. Giordani, A. Candelieri, R. Perego, and F. Archetti. WCGO, volume 991 of Advances in Intelligent Systems and Computing, page 751-760. Springer, (2019)

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Antonio Raiolo University of Stuttgart

Giuliano Antonio Giacoppo University of Stuttgart

Rafael Antonio Lainez Reyes University of Stuttgart

Jesus Antonio Martinez Zarate University of Stuttgart

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Massively parallel execution of logic programs: A static approach.F. Baiardi, A. Candelieri, and L. Ricci. Journal of Systems Architecture, 43 (6-7): 437-457 (1997)Medical Knowledge Representation within Heartfaid Platform.D. Gamberger, M. Prcela, A. Jovic, T. Smuc, G. Parati, M. Valentini, K. Kawecka-Jaszcz, K. Styczkiewicz, A. Kononowicz, A. Candelieri and 2 other author(s). HEALTHINF (1), page 307-314. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2008)Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization.A. Candelieri, I. Giordani, F. Archetti, K. Barkalov, I. Meyerov, A. Polovinkin, A. Sysoyev, and N. Zolotykh. Computers & OR, (2019)Automatic Configuration of Kernel-Based Clustering: An Optimization Approach.A. Candelieri, I. Giordani, and F. Archetti. LION, volume 10556 of Lecture Notes in Computer Science, page 34-49. Springer, (2017)Data Mining and the Functional Relationship between Heart Rate Variability and Emotional Processing - Comparative Analyses, Validation and Application.F. Riganello, and A. Candelieri. HEALTHINF, page 159-165. INSTICC Press, (2010)Detecting Events and Sentiment on Twitter for Improving Urban Mobility.A. Candelieri, and F. Archetti. ESSEM@AAMAS, volume 1351 of CEUR Workshop Proceedings, page 106-115. CEUR-WS.org, (2015)Safe global optimization of expensive noisy black-box functions in the $δ$-Lipschitz framework.Y. Sergeyev, A. Candelieri, D. Kvasov, and R. Perego. CoRR, (2019)Efficient Kernel-Based Subsequence Search for Enabling Health Monitoring Services in IoT-Based Home Setting.A. Candelieri, S. Fedorov, and E. Messina. Sensors, 19 (23): 5192 (2019)A hyper-solution framework for classification problems via metaheuristic approaches.A. Candelieri. 4OR, 9 (4): 425-428 (2011)Functional Status and the Eye-tracking Response - A Data Mining Classification Study in the Vegetative and Minimaly Conscious States.A. Candelieri, F. Riganello, D. Cortese, and W. Sannita. HEALTHINF, page 138-141. SciTePress, (2011)