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2020 – today
- 2023
[j9]Antonio Lieto
, Gian Luca Pozzato, Manuel Striani, Stefano Zoia, Rossana Damiano:
DEGARI 2.0: A diversity-seeking, explainable, and affective art recommender for social inclusion. Cogn. Syst. Res. 77: 1-17 (2023)- [c16]Giorgio Leonardi, Stefania Montani, Manuel Striani:
Improving Stroke Trace Classification Explainability Through Counterexamples. AIME 2023: 125-129 - [i3]Manuel Striani:
NRTS: A Client-Server architecture for supporting data recording, transmission and evaluation of multidisciplinary teams during the neonatal resuscitation simulation scenario. CoRR abs/2304.09860 (2023) - [i2]Antonio Lieto, Manuel Striani, Cristina Gena, Enrico Dolza, Anna Maria Marras, Gian Luca Pozzato, Rossana Damiano:
A sensemaking system for grouping and suggesting stories from multiple affective viewpoints in museums. CoRR abs/2304.14117 (2023) - 2022
- [j8]Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi, Stefania Montani, Manuel Striani, Paolo Terenziani:
Integrating ISA and Part-of Domain Knowledge into Process Model Discovery. Future Internet 14(12): 357 (2022) - [j7]Giorgio Leonardi, Stefania Montani, Manuel Striani:
Explainable process trace classification: An application to stroke. J. Biomed. Informatics 126: 103981 (2022) - [j6]Giorgio Leonardi, Stefania Montani, Manuel Striani:
Novel deep learning architectures for haemodialysis time series classification. Int. J. Knowl. Based Intell. Eng. Syst. 26(2): 91-99 (2022) - [j5]Paolo Ferragina, Giovanni Manzini, Travis Gagie, Dominik Köppl, Gonzalo Navarro, Manuel Striani, Francesco Tosoni:
Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices. Proc. VLDB Endow. 15(10): 2175-2187 (2022) - [c15]Antonio Lieto, Gian Luca Pozzato, Manuel Striani, Stefano Zoia, Rossana Damiano:
Formal Methods Meet XAI: the Tool DEGARI 2.0 for Social Inclusion. OVERLAY@AI*IA 2022: 45-50 - [c14]Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi, Stefania Montani, Manuel Striani, Paolo Terenziani:
AS-SIM: An Approach to Action-State Process Model Discovery. ISMIS 2022: 336-345 - [c13]Andrea Bolioli, Alessio Bosca, Rossana Damiano, Antonio Lieto, Manuel Striani:
A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory. UMAP (Adjunct Publication) 2022: 374-382 - [c12]Rossana Damiano, Tsvi Kuflik, Alan J. Wecker, Manuel Striani, Antonio Lieto, Luis Emilio Bruni, Nele Kadastik, Thomas Anthony Pedersen:
Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study. UMAP (Adjunct Publication) 2022: 391-396 - [e1]Rossana Damiano, Stefano Ferilli, Manuel Striani, Gianmaria Silvello:
Proceedings of the 1st Workshop on Artificial Intelligence for Cultural Heritage, AI4CH 2022, co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), Udine, Italy, November 28, 2022. CEUR Workshop Proceedings 3286, CEUR-WS.org 2022 [contents] - [i1]Paolo Ferragina, Travis Gagie, Dominik Köppl, Giovanni Manzini, Gonzalo Navarro, Manuel Striani, Francesco Tosoni:
Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices. CoRR abs/2203.14540 (2022) - 2021
- [c11]Giorgio Leonardi, Stefania Montani, Manuel Striani:
An Inception-Based Architecture for Haemodialysis Time Series Classification. AIAI Workshops 2021: 194-203 - 2020
- [c10]Giorgio Leonardi, Stefania Montani, Manuel Striani:
Deep Feature Extraction for Representing and Classifying Time Series Cases: Towards an Interpretable Approach in Haemodialysis. FLAIRS 2020: 417-421 - [c9]Giorgio Leonardi, Stefania Montani, Manuel Striani:
Process Trace Classification for Stroke Management Quality Assessment. ICCBR 2020: 49-63
2010 – 2019
- 2019
- [c8]Giorgio Leonardi, Stefania Montani, Manuel Striani:
Deep Learning for Haemodialysis Time Series Classification. KR4HC/ProHealth/TEAAM@AIME 2019: 50-64 - [p1]Giorgio Leonardi, Stefania Montani, Luigi Portinale, Silvana Quaglini, Manuel Striani:
Discovering Knowledge Embedded in Bio-medical Databases: Experiences in Food Characterization and in Medical Process Mining. Innovations in Big Data Mining and Embedded Knowledge 2019: 117-136 - 2018
- [j4]Giorgio Leonardi, Manuel Striani, Silvana Quaglini, Anna Cavallini, Stefania Montani:
Leveraging semantic labels for multi-level abstraction in medical process mining and trace comparison. J. Biomed. Informatics 83: 10-24 (2018) - [c7]Giorgio Leonardi, Manuel Striani, Silvana Quaglini, Anna Cavallini, Stefania Montani:
From Semantically Abstracted Traces to Process Mining and Process Model Comparison. AI*IA 2018: 47-59 - 2017
- [j3]Massimo Canonico, Stefania Montani, Manuel Striani:
A telemedicine support for improving medical emergency management. EAI Endorsed Trans. Ambient Syst. 4(16): e2 (2017) - [j2]Stefania Montani, Giorgio Leonardi, Manuel Striani, Silvana Quaglini, Anna Cavallini:
Multi-level abstraction for trace comparison and process discovery. Expert Syst. Appl. 81: 398-409 (2017) - [j1]Massimo Canonico, Stefania Montani, Diego Gazzolo, Mariachiara Strozzi, Manuel Striani:
TEEM: Technology-Enhanced Emergency Management for Supporting Data Communication During Patient Transportation. Int. J. Mob. Comput. Multim. Commun. 8(4): 49-65 (2017) - [c6]Stefania Montani, Manuel Striani, Silvana Quaglini, Anna Cavallini, Giorgio Leonardi:
Knowledge-Based Trace Abstraction for Semantic Process Mining. AIME 2017: 267-271 - [c5]Manuel Striani:
A framework for Multi-level Trace Abstraction and Semantic Process Mining. ICCBR (Workshops) 2017: 179-183 - [c4]Stefania Montani, Manuel Striani, Silvana Quaglini, Anna Cavallini, Giorgio Leonardi:
Semantic Trace Comparison at Multiple Levels of Abstraction. ICCBR 2017: 212-226 - [c3]Giorgio Leonardi, Manuel Striani, Silvana Quaglini, Anna Cavallini, Stefania Montani:
Towards Semantic Process Mining Through Knowledge-Based Trace Abstraction. SIMPDA (Revised Selected Papers) 2017: 45-64 - [c2]Stefania Montani, Manuel Striani, Silvana Quaglini, Anna Cavallini, Giorgio Leonardi:
Towards semantic process mining through knowledge-based trace abstraction. SIMPDA 2017: 98-112 - 2016
- [c1]Massimo Canonico, Stefania Montani, Manuel Striani:
TEEM: A Mobile App for Technology-Enhanced Emergency Management. HealthyIoT 2016: 101-106
Coauthor Index
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last updated on 2023-09-29 22:14 CEST by the dblp team
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