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On Generating Efficient Data Summaries for Logistic Regression: A Coreset-based Approach., , и . DATA, стр. 78-89. SciTePress, (2020)Orand - A Fast, Publicly Verifiable, Scalable Decentralized Random Number Generator Based on Distributed Verifiable Random Functions., , и . IUKM (2), том 14376 из Lecture Notes in Computer Science, стр. 358-372. Springer, (2023)Communication-efficient Conformal Prediction for Distributed Datasets., , и . COPA, том 179 из Proceedings of Machine Learning Research, стр. 310-312. PMLR, (2022)Handling Service Level Agreements in IoT = Minding Rules + Log Analytics?, , , , и . EDOC, стр. 145-153. IEEE Computer Society, (2018)Aligning Service Level Agreements with Service-Oriented Enterprise Architecture., , , и . EDOC Workshops, стр. 8-14. IEEE Computer Society, (2017)A System for Scalable Decentralized Random Number Generation., , , , , , , , и . EDOC Workshops, стр. 100-103. IEEE, (2019)A survey of deep learning approaches for WiFi-based indoor positioning., , и . J. Inf. Telecommun., 6 (2): 163-216 (2022)On d-solvability for linear differential equations.. J. Symb. Comput., 44 (5): 421-434 (2009)Hunting Phishing Websites Using a Hybrid Fuzzy-Semantic-Visual Approach., , , , , и . ACOMP, стр. 38-45. IEEE, (2021)Blockchain-Based Open Data: An Approach for Resolving Data Integrity and Transparency., , , , , , и . FDSE, том 11814 из Lecture Notes in Computer Science, стр. 526-541. Springer, (2019)