Giorgio Leonardi

2022

Novel deep learning architectures for haemodialysis time series classification.

[BibT_eX]

[DOI]

Int. J. Knowl. Based Intell. Eng. Syst., 2022

Explainable process trace classification: An application to stroke.

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[DOI]

J. Biomed. Informatics, 2022

Integrating ISA and Part-of Domain Knowledge into Process Model Discovery.

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[DOI]

Future Internet, 2022

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

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[DOI]

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

A multimodal approach to automated generation of radiology reports using contrastive learning (SHORT PAPER).

[BibT_eX]

[DOI]

Andrea Santomauro

Luigi Portinale

Proceedings of the 1st AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2022) co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), 2022

2021

An Inception-Based Architecture for Haemodialysis Time Series Classification.

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[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops, 2021

2020

Process Trace Classification for Stroke Management Quality Assessment.

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[DOI]

Proceedings of the Case-Based Reasoning Research and Development, 2020

Deep Feature Extraction for Representing and Classifying Time Series Cases: Towards an Interpretable Approach in Haemodialysis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019

Discovering Knowledge Embedded in Bio-medical Databases: Experiences in Food Characterization and in Medical Process Mining.

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[DOI]

Proceedings of the Innovations in Big Data Mining and Embedded Knowledge, 2019

Deep Learning for Haemodialysis Time Series Classification.

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[DOI]

Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019

2018

Leveraging semantic labels for multi-level abstraction in medical process mining and trace comparison.

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[DOI]

J. Biomed. Informatics, 2018

Interactive mining and retrieval from process traces.

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[DOI]

Expert Syst. Appl., 2018

From Semantically Abstracted Traces to Process Mining and Process Model Comparison.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

2017

Multi-level abstraction for trace comparison and process discovery.

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[DOI]

Expert Syst. Appl., 2017

Towards Semantic Process Mining Through Knowledge-Based Trace Abstraction.

[BibT_eX]

[DOI]

Proceedings of the Data-Driven Process Discovery and Analysis, 2017

Semantic Trace Comparison at Multiple Levels of Abstraction.

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[DOI]

Proceedings of the Case-Based Reasoning Research and Development, 2017

Knowledge-Based Trace Abstraction for Semantic Process Mining.

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[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2017

Multi-level Interactive Medical Process Mining.

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[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2017

Applying Machine Learning to High-Quality Wine Identification.

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[DOI]

Luigi Portinale

Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017

2016

Knowledge-Based Support to the Treatment of Exceptions in Computer Interpretable Clinical Guidelines.

[BibT_eX]

[DOI]

Int. J. Knowl. Based Organ., 2016

Trace retrieval for business process operational support.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2016

Recommending Personalized Asset Investments through Case-Based Reasoning: The SMARTFASI System.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

A Context-aware Miner for Medical Processes.

[BibT_eX]

[DOI]

Proceedings of the Workshops Proceedings for the Twenty-fourth International Conference on Case-Based Reasoning (ICCBR 2016), Atlanta, Georgia, USA, October 31, 2016

A Smart Financial Advisory System Exploiting Case-Based Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Personalization & Recommender Systems in Financial Services, 2016

2015

A knowledge-intensive approach to process similarity calculation.

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[DOI]

Expert Syst. Appl., 2015

A time series retrieval tool for sub-series matching.

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[DOI]

Appl. Intell., 2015

Exploiting Data Mining for Authenticity Assessment and Protection of High-Quality Italian Wines from Piedmont.

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[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Mining the Log-Tree of Process Traces: Current Approach and Future Perspectives.

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[DOI]

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Trace Retrieval as a Tool for Operational Support in Medical Process Management.

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[DOI]

Proceedings of the Workshop Proceedings from The Twenty-Third International Conference on Case-Based Reasoning (ICCBR 2015), 2015

2014

Retrieval and clustering for supporting business process adjustment and analysis.

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[DOI]

Inf. Syst., 2014

Improving structural medical process comparison by exploiting domain knowledge and mined information.

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[DOI]

Artif. Intell. Medicine, 2014

Knowledge-Intensive Medical Process Similarity.

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[DOI]

Proceedings of the Knowledge Representation for Health Care - 6th International Workshop, 2014

2013

Supporting Flexible, Efficient, and User-Interpretable Retrieval of Similar Time Series.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Flexible case-based retrieval for comparative genomics.

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[DOI]

Appl. Intell., 2013

Mining and Retrieving Medical Processes to Assess the Quality of Care.

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[DOI]

Proceedings of the Case-Based Reasoning Research and Development, 2013

Improving Process Model Retrieval by Accounting for Gateway Nodes: an Ongoing Work.

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[DOI]

Proceedings of the Workshop AI Meets Business Processes 2013 co-located with the 13th Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013

2012

Retrieval and Clustering for Business Process Monitoring: Results and Improvements.

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[DOI]

Proceedings of the Case-Based Reasoning Research and Development, 2012

Flexible and Efficient Retrieval of Haemodialysis Time Series.

[BibT_eX]

[DOI]

Proceedings of the Process Support and Knowledge Representation in Health Care, 2012

Exceptions Handling within GLARE Clinical Guideline Framework.

[BibT_eX]

[DOI]

Francesco Della Corte

Proceedings of the AMIA 2012, 2012

2011

A Modular Database Architecture Enabled to Comparative Sequence Analysis.

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[DOI]

Trans. Large Scale Data Knowl. Centered Syst., 2011

Ontology-Based Automatic Generation of Computerized Cognitive Exercises.

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[DOI]

Silvia Panzarasa

Silvana Quaglini

Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011

Flexible, Efficient and Interactive Retrieval for Supporting In-silico Studies of Endobacteria.

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[DOI]

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Reasoning with Effects of Clinical Guideline Actions Using OWL: AL Amyloidosis as a Case Study.

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[DOI]

Proceedings of the Knowledge Representation for Health-Care, 2011

2010

A Case-Based Approach to Business Process Monitoring.

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[DOI]