PUBLICATIONS

  1. Dragoni, Mauro; Donadello, Ivan; Eccher, Claudio,
    Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice,
    in «ARTIFICIAL INTELLIGENCE IN MEDICINE»,
    vol. 105,
    2020
    , pp. 101840-
  2. Rizzi, Williams; Di Francescomarino, Chiara; Maria Maggi, Fabrizio,
    Explainability in Predictive Process Monitoring: When Understanding Helps Improving,
    Proceedings of International Conference on Business Process Management,
    vol. 392,
    2020
    , pp. 141-
    158
  3. Di Francescomarino, Chiara; Ghidini, Chiara; Maria Maggi, Fabrizio; Rizzi, Williams,
    Predictive Process Monitoring: From Theory to Practice,
    Business Process Management - 18th International Conference, {BPM} 2020, Seville, Spain, September 13-18, 2020, Proceedings,
    vol. 12168,
    2020
    , pp. xxxvi-
    xxxvii
  4. Faron, Catherine; Ghidini, Chiara,
    Selected papers from EKAW 2018,
    in «SEMANTIC WEB»,
    vol. 12,
    2020
    , pp. 3-
    4
  5. Adamo, Greta; Di Francescomarino, Chiara; Ghidini, Chiara,
    Digging into Business Process Meta-models: A First Ontological Analysis,
    Proceedings of the 32nd International Conference on Advanced Information Systems Engineering (CAiSE 2020),
    vol. 12127,
    2020
    , pp. 384-
    400
  6. Fahland, Dirk; Ghidini, Chiara; Becker, Jorg; Dumas, Marlon,
    Proceedings of the Business Process Management Forum (BPM2020),
    vol. 392,
    2020
  7. Fahland, Dirk; Ghidini, Chiara; Becker, Jorg; Dumas, Marlon,
    Proceedings of the 18th International Conference on Business Process Management (BPM 2020),
    vol. 12168,
    2020
  8. Bellan, Patrizio; Dragoni, Mauro; Ghidini, Chiara,
    A Qualitative Analysis of the State of the Art in Process Extraction from Text,
    Proceedings of the AIxIA 2020 Discussion Papers Workshop co-located with the the 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA2020), Anywhere, November 27th,2020,
    CEUR-WS.org,
    vol. 2776,
    2020
    , pp. 19-
    30
  9. Di Francescomarino, Chiara; Maggi, Fabrizio Maria,
    Preface to the Special Issue on Artificial Intelligence for Business Process Management 2018,
    in «JOURNAL ON DATA SEMANTICS»,
    vol. 9,
    n. 1,
    2020
    , pp. 1-
    1
  10. Rizzi, Williams; Simonetto, Luca; Di Francescomarino, Chiara; Ghidini, Chiara; Kasekamp, Tonis; Maria Maggi, Fabrizio,
    Nirdizati 2.0: New Features and Redesigned Backend,
    Proceedings of the Dissertation Award, Doctoral Consortium, and Demonstration Track at {BPM} 2019 co-located with 17th International Conference on Business Process Management, {BPM} 2019, Vienna, Austria, September 1-6, 2019,
    vol. 2420,
    2019
    , pp. 154-
    158
  11. Ghidini, Chiara; Magnini, Bernardo; Passerini, Andrea,
    Special issue: Selected and revised papers from the 17th International Conference of the Italian Association for Artificial Intelligence,
    in «INTELLIGENZA ARTIFICIALE»,
    vol. 13,
    2019
  12. Genga, Laura; Di Francescomarino, Chiara; Ghidini, Chiara; Zannone, Nicola,
    Predicting Critical Behaviors in Business Process Executions: When Evidence Counts,
    Proceedings of Business Process Management Forum (BPM 2019),
    vol. 360,
    2019
    , pp. 72-
    90
  13. Chesani, Federico; Di Francescomarino, Chiara; Ghidini, Chiara; Loreti, Daniela; Maria Maggi, Fabrizio; Mello, Paola; Montali, Marco; Skydanienko, Vasyl; Tessaris, Sergio,
    Towards the Generation of the “Perfect” Log Using Abductive Logic Programming,
    Proceedings of the 34th Italian Conference on Computational Logic,
    vol. 2396,
    2019
    , pp. 179-
    192
  14. Ghidini, Chiara; Hartig, Olaf; Maleshkova, Maria; Svatek, Vojtech; Cruz, Isabel F.; Hogan, Aidan; Song, Jie; Lefrancois, Maxime; G, Fabien; On,,
    The Semantic Web – {ISWC} 2019 – 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings,
    vol. 11778 and 11779,
    2019
  15. Senderovich, Arik; Francescomarino, Chiara Di; Maggi, Fabrizio Maria,
    From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring,
    in «INFORMATION SYSTEMS»,
    vol. 84,
    2019
    , pp. 255-
    264
  16. Di Francescomarino, Chiara; Maggi, Fabrizio Maria,
    Preface to the Special Issue on Business Process Innovations with Artificial Intelligence,
    in «JOURNAL ON DATA SEMANTICS»,
    vol. 8,
    n. 2,
    2019
    , pp. 77-
    77
  17. Dragoni, Mauro; Federici, Marco; Rexha, Andi,
    ReUS: a Real-time Unsupervised System For Monitoring Opinion Streams,
    in «COGNITIVE COMPUTATION»,
    vol. 11,
    n. 4,
    2019
    , pp. 469-
    488
  18. Rospocher, Marco; Corcoglioniti, Francesco; Dragoni, Mauro,
    Boosting Document Retrieval with Knowledge Extraction and Linked Data,
    in «SEMANTIC WEB»,
    vol. 10,
    n. 4,
    2019
    , pp. 753-
    778
  19. Dragoni, Mauro; Federici, Marco; Rexha, Andi,
    An unsupervised aspect extraction strategy for monitoring real-time reviews stream,
    in «INFORMATION PROCESSING & MANAGEMENT»,
    vol. 56,
    n. 3,
    2019
    , pp. 1103-
    1118
  20. Donadello, Ivan; Dragoni, Mauro,
    An End-to-End Semantic Platform for Nutritional Diseases Management,
    Proceedings of the 18th International Semantic Web Conference, Part II,
    vol. 11779,
    2019
    , pp. 363-
    381