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Manuel STRIANI

Affiliazione precedente
 https://orcid.org/0000-0002-7600-576X
20162024

Risultati di ricerca per anno

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Risultati della ricerca

  • 2023

    Improving Stroke Trace Classification Explainability Through Counterexamples

    Leonardi, G., Montani, S. & Striani, M., 2023, Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Proceedings. Juarez, J. M., Marcos, M., Stiglic, G. & Tucker, A. (edd.). Springer Science and Business Media Deutschland GmbH, pag. 125-129 5 pag. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13897 LNAI).

    Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

  • 2022

    A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory

    Bolioli, A., Bosca, A., Damiano, R., Lieto, A. & Striani, M., 4 lug 2022, UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, pag. 374-382 9 pag. (UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization).

    Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

    Open Access

  • AS-SIM: An Approach to Action-State Process Model Discovery

    Bottrighi, A., Guazzone, M., Leonardi, G., Montani, S., Striani, M. & Terenziani, P., 2022, Foundations of Intelligent Systems - 26th International Symposium, ISMIS 2022, Proceedings. Ceci, M., Flesca, S., Masciari, E., Manco, G., Raś, Z. W. & Raś, Z. W. (edd.). Springer Science and Business Media Deutschland GmbH, pag. 336-345 10 pag. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13515 LNAI).

    Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

  • Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study

    Damiano, R., Kuflik, T., Wecker, A. J., Striani, M., Lieto, A., Bruni, L., Kadastik, N. & Pedersen, T. A., 4 lug 2022, UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, pag. 391-396 6 pag. (UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization).

    Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

    Open Access
  • 2021

    An Inception-Based Architecture for Haemodialysis Time Series Classification

    Leonardi, G., Montani, S. & Striani, M., 2021, Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops - 5G-PINE 2021, AI-BIO 2021, DAAI 2021, DARE 2021, EEAI 2021, and MHDW 2021, Proceedings. Maglogiannis, I., Macintyre, J. & Iliadis, L. (edd.). Springer Science and Business Media Deutschland GmbH, pag. 194-203 10 pag. (IFIP Advances in Information and Communication Technology; vol. 628).

    Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

  • 2020

    Deep feature extraction for representing and classifying time series cases: Towards an interpretable approach in haemodialysis

    Leonardi, G., Montani, S. & Striani, M., 2020, Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2020. Bell, E. & Bartak, R. (edd.). The AAAI Press, pag. 417-420 4 pag. (Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2020).

    Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

  • Process Trace Classification for Stroke Management Quality Assessment

    Leonardi, G., Montani, S. & Striani, M., 2020, Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings. Watson, I. & Weber, R. (edd.). Springer Science and Business Media Deutschland GmbH, pag. 49-63 15 pag. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12311 LNAI).

    Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

  • 2019

    Deep Learning for Haemodialysis Time Series Classification

    Leonardi, G., Montani, S. & Striani, M., 2019, Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Revised Selected Papers. Marcos, M., Juarez, J. M., Lenz, R., Nalepa, G. J., Nalepa, G. J., Nowaczyk, S., Peleg, M., Stefanowski, J. & Stiglic, G. (edd.). SPRINGER, pag. 50-64 15 pag. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11979 LNAI).

    Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

  • Towards semantic process mining through knowledge-based trace abstraction

    Leonardi, G., Striani, M., Quaglini, S., Cavallini, A. & Montani, S., 2019, Data-Driven Process Discovery and Analysis - 7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Revised Selected Papers. van Keulen, M., Ceravolo, P. & Stoffel, K. (edd.). Springer Verlag, pag. 45-64 20 pag. (Lecture Notes in Business Information Processing; vol. 340).

    Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

  • 2018

    From Semantically Abstracted Traces to Process Mining and Process Model Comparison

    Leonardi, G., Striani, M., Quaglini, S., Cavallini, A. & Montani, S., 2018, AI*IA 2018 – Advances in Artificial Intelligence - 17th International Conference of the Italian Association for Artificial Intelligence, Proceedings. Ghidini, C., Traverso, P., Magnini, B. & Passerini, A. (edd.). Springer Verlag, pag. 47-59 13 pag. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11298 LNAI).

    Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

  • 2017

    Knowledge-based trace abstraction for semantic process mining

    Montani, S., Striani, M., Quaglini, S., Cavallini, A. & Leonardi, G., 2017, Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings. [surname]ten Teije, A., Popow, C., Sacchi, L. & Holmes, J. H. (edd.). Springer Verlag, pag. 267-271 5 pag. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10259 LNAI).

    Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

  • Semantic trace comparison at multiple levels of abstraction

    Montani, S., Striani, M., Quaglini, S., Cavallini, A. & Leonardi, G., 2017, Case-Based Reasoning Research and Development - 25th International Conference, ICCBR 2017, Proceedings. Aha, D. W. & Lieber, J. (edd.). Springer Verlag, pag. 212-226 15 pag. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10339 LNAI).

    Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review