Giorgio Leonardi - Citegraph

Author Info

Name	Affiliation	Papers
GIORGIO LEONARDI	DISIT, Institute of Computer Science, Universití del Piemonte Orientale, Viale Michel 11, I-15121 Alessandria, Italy	44
Collaborators	Citations	PageRank
49	179	20.36
Referers	Referees	References
390	787	602

Search Limit

100787

Publications (44 rows)

Collaborators (49 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Novel deep learning architectures for haemodialysis time series classification	0	0.34	2022
Deep Feature Extraction for Representing and Classifying Time Series Cases - Towards an Interpretable Approach in Haemodialysis.	0	0.34	2020
Process Trace Classification for Stroke Management Quality Assessment.	0	0.34	2020
Leveraging semantic labels for multi-level abstraction in medical process mining and trace comparison.	2	0.38	2018
Interactive mining and retrieval from process traces.	0	0.34	2018
Multi-level abstraction for trace comparison and process discovery.	0	0.34	2017
Towards Semantic Process Mining Through Knowledge-Based Trace Abstraction.	0	0.34	2017
Applying Machine Learning to High-Quality Wine Identification.	0	0.34	2017
Towards semantic process mining through knowledge-based trace abstraction.	0	0.34	2017
Trace retrieval for business process operational support.	1	0.35	2016
A CONTEXT-AWARE MINER FOR MEDICAL PROCESSES	0	0.34	2016
A Smart Financial Advisory System Exploiting Case-Based Reasoning.	0	0.34	2016
Recommending Personalized Asset Investments Through Case-Based Reasoning: The Smartfasi System	0	0.34	2016
Knowledge-Based Support to the Treatment of Exceptions in Computer Interpretable Clinical Guidelines.	0	0.34	2016
Exploiting Data Mining for Authenticity Assessment and Protection of High-Quality Italian Wines from Piedmont	0	0.34	2015
Trace Retrieval as a Tool for Operational Support in Medical Process Management.	0	0.34	2015
A knowledge-intensive approach to process similarity calculation.	4	0.40	2015
A time series retrieval tool for sub-series matching	1	0.36	2015
Knowledge-Intensive Medical Process Similarity.	0	0.34	2014
Improving structural medical process comparison by exploiting domain knowledge and mined information.	6	0.47	2014
Retrieval and clustering for supporting business process adjustment and analysis	11	0.56	2014
Mining and Retrieving Medical Processes to Assess the Quality of Care.	2	0.44	2013
Improving Process Model Retrieval by Accounting for Gateway Nodes: an Ongoing Work.	1	0.36	2013
Flexible case-based retrieval for comparative genomics	0	0.34	2013
Supporting Flexible, Efficient, and User-Interpretable Retrieval of Similar Time Series	7	0.46	2013
Exceptions handling within GLARE clinical guideline framework.	7	0.50	2012
Retrieval and Clustering for Business Process Monitoring: Results and Improvements.	8	0.79	2012
Flexible and efficient retrieval of haemodialysis time series	0	0.34	2012
A modular database architecture enabled to comparative sequence analysis	0	0.34	2011
Ontology-based automatic generation of computerized cognitive exercises.	2	0.51	2011
Reasoning with effects of clinical guideline actions using OWL: AL amyloidosis as a case study	2	0.42	2011
Flexible, Efficient and Interactive Retrieval for Supporting In-silico Studies of Endobacteria	0	0.34	2011
A Case-Based Approach To Business Process Monitoring	9	0.60	2010
Flexible Genome Retrieval for Supporting In-Silico Studies of Endobacteria-AMFs.	0	0.34	2010
Intelligent data interpretation and case base exploration through temporal abstractions	6	0.47	2010
A CBR-Based, Closed-Loop Architecture for Temporal Abstractions Configuration	4	0.40	2009
Multi-level Abstractions and Multi-dimensional Retrieval of Cases with Time Series Features	7	0.46	2009
Process mining techniques: an application to stroke care.	39	1.73	2008
Semi-automatic Configuration of Temporal Abstractions of Time Series Data Using CBR	0	0.34	2008
Interacting Agents for the Risk Assessment of Allergies in Newborn Babies	0	0.34	2007
Interacting agents through a web-based health serviceflow management system.	15	1.07	2007
Case-based retrieval to support the treatment of end stage renal failure patients.	37	1.32	2006
Case Retrieval with Time Series Features	0	0.34	2005
RHENE: A Case Retrieval System for Hemodialysis Cases with Dynamically Monitored Parameters	8	0.54	2004