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Knowledge Graph Embeddings with node2vec for Item Recommendation.

E. Palumbo, G. Rizzo, R. Troncy, E. Baralis, M. Osella, and E. Ferro. ESWC (Satellite Events), volume 11155 of Lecture Notes in Computer Science, page 117-120. Springer, (2018)

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Elena Schiebelbein University of Stuttgart

Elena Weikum University of Stuttgart

Elena Müller University of Stuttgart

Elena Minchenko University of Stuttgart

Dr. rer. nat. Cristiana-Elena Lungu University of Stuttgart

Other publications of authors with the same name

Generation and Evaluation of Summaries of Academic Teaching Materials.E. Baralis, L. Cagliero, and L. Farinetti. COMPSAC, page 881-886. IEEE Computer Society, (2015)Supporting stock trading in multiple foreign markets: a multilingual news summarization approach.E. Baralis, L. Cagliero, and T. Cerquitelli. DSMM@SIGMOD, page 3:1-3:6. ACM, (2016)PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data.D. Apiletti, E. Baralis, T. Cerquitelli, P. Garza, P. Michiardi, and F. Pulvirenti. ICDM Workshops, page 839-846. IEEE Computer Society, (2015)Analyzing air pollution on the urban environment.E. Baralis, T. Cerquitelli, S. Chiusano, P. Garza, and M. Kavoosifar. MIPRO, page 1464-1469. IEEE, (2016)Array-Tree: A persistent data structure to compactly store frequent itemsets.E. Baralis, T. Cerquitelli, S. Chiusano, and A. Grand. IEEE Conf. of Intelligent Systems, page 108-113. IEEE, (2010)Generalized association rules to support Network Digest analysis.D. Apiletti, E. Baralis, T. Cerquitelli, and V. D'Elia. SEBD, page 101-108. (2008)Towards Feasible Topology Formation Algorithms for Bluetooth-based WPANs.C. Chiasserini, M. Marsan, E. Baralis, and P. Garza. HICSS, page 313. IEEE Computer Society, (2003)Explaining black box models by means of local rules.E. Pastor, and E. Baralis. SAC, page 510-517. ACM, (2019)Real-Time Individuation of Global Unsafe Anomalies and Alarm Activation.D. Apiletti, E. Baralis, G. Bruno, and T. Cerquitelli. Intelligent Techniques and Tools for Novel System Architectures, 109, (2008)Mining Sensor Data for Predictive Maintenance in the Automotive Industry.F. Giobergia, E. Baralis, M. Camuglia, T. Cerquitelli, M. Mellia, A. Neri, D. Tricarico, and A. Tuninetti. DSAA, page 351-360. IEEE, (2018)