D. Ferrari, V. Guidetti, F. Mandreoli: Multi-Objective Symbolic Regression for
Data-Driven Scoring System Management IEEE International Conference on Data Mining (ICDM), Orlando (FL), Dec. 2022 Open source code available on GitHub |
F. Mandreoli, D. Ferrari, V. Guidetti, F. Motta, P. Missier: Real-world data mining meets clinical practice: Research challenges and perspective FRONTIERS IN BIG DATA. - ISSN 2624-909X. - 5:(2022), pp. 1-7 |
L. Bedogni, G. Cabri, R. Martoglia, F. Poggi
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Does the Venue of Scientific Conferences Leverage their Impact? A Large Scale study on Computer Science Conferences
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Library Hi Tech, 2022.
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R. Cavicchioli, R. Martoglia, M. Verucchi.
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A Novel Real-Time Edge-Cloud Big Data Management and Analytics Framework for Smart Cities
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Journal of Universal Computer Science, 28(1), 2022.
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C. Vischioni, F. Bove, F. Mandreoli, R. Martoglia, V. Pisi, C. Taccioli
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Visual Exploratory Data Analysis for Copy Number Variation Studies in Biomedical Research.
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Big Data Research (Elsevier), 27, 2022.
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F. Grandi, F. Mandreoli, R. Martoglia, W. Penzo
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Unleashing the Power of Querying Streaming Data in a Temporal Database World: A Relational Algebra Approach.
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Information Systems (Elsevier), 103, 2022
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T. Fabbri, A. Scapolan, F. Bertolotti, F. Mandreoli, R. Martoglia
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Work datification and digital work behaviour analysis as a source of HRM insights
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Do machines dream of electric workers? Understanding the impact of digital technologies on organisations and innovation, Lecture Notes in Information Systems and Organisation (LNISO), Springer, 2022.
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K. Hribernik, G. Cabri, F. Mandreoli, G. Mentzas, G.: Autonomous, context-aware, adaptive Digital Twins—State of the art and roadmap COMPUTERS IN INDUSTRY. - ISSN 0166-3615. - 133:(2021), pp. 103508-103508. |