Generalization Handling in a Dynamic Case Memory. - Luigi Portinale (ISMIS, 1991)

Focussing Abductive Diagnosis. - Luca Console; Luigi Portinale; Daniele Theseider Dupré (AI Commun., 1991)

Diagnostic Reasoning Across Different Time Points. - Luca Console; Luigi Portinale; Daniele Theseider Dupré; Pietro Torasso (ECAI, 1992)

Modeling Uncertain Temporal Evolutions in Model-based Diagnosis. - Luigi Portinale (UAI, 1992)

Verification of causal models using petri nets. - Luigi Portinale (Int. J. Intell. Syst., 1992)

Selecting Observation Time in the Monitoring and Interpretation of Time-Varying Data. - Luigi Portinale (AI*IA, 1993)

Exploiting T-invariant Analysis in Diagnostic Reasoning on a Petri Net Model. - Luigi Portinale (Application and Theory of Petri Nets, 1993)

Using Case-Based Reasoning to Focus Model-Based Diagnostic Problem Solving. - Luigi Portinale; Pietro Torasso; Carlo Ortalda; Antonio Giardino (EWCBR, 1993)

B-W Analysis: A Backward Reachability Analysis for Diagnostic Problem Solving Suitable to Parallel Implementation. - Cosimo Anglano; Luigi Portinale (Application and Theory of Petri Nets, 1994)

Diagnosing Tim-Varying Misbehavior: An Approach Based on Model Decomposition. - Luca Console; Luigi Portinale; Daniele Theseider Dupré; Pietro Torasso (Ann. Math. Artif. Intell., 1994)

ADAPtER: An Integrated Diagnostic System Combining Case-Based and Abductive Reasoning. - Luigi Portinale; Pietro Torasso (ICCBR, 1995)

On the Role of Abduction. - Pietro Torasso; Luca Console; Luigi Portinale; Daniele Theseider Dupré (ACM Comput. Surv., 1995)

Improving Model-Based Diagnosis through Algebraic Analysis: The Petri Net Challenge. - Luigi Portinale (AAAI/IAAI, Vol. 2, 1996)

On the Usefulness of Re-using Diagnostic Solutions. - Luigi Portinale; Pietro Torasso (ECAI, 1996)

Parallel Model-Based Diagnosis Using PVM. - Cosimo Anglano; Luigi Portinale (PVM, 1996)

Using Compiled Knowledge to Guide and Focus Abductive Diagnosis. - Luca Console; Luigi Portinale; Daniele Theseider Dupré (IEEE Trans. Knowl. Data Eng., 1996)

A Comparative Analysis of Horn Models and Bayesian Networks for Diagnosis. - Luigi Portinale; Pietro Torasso (AI*IA, 1997)

Case-based Probability Factoring in Bayesian Belief Networks. - Luigi Portinale (AISTATS, 1997)

Modeling and Solving Constraint Satisfaction Problems through Petri Nets. - Luigi Portinale (ICATPN, 1997)

Selecting Most Adaptable Diagnostic Solutions through Pivoting-Based Retrieval. - Luigi Portinale; Pietro Torasso; Diego Magro (ICCBR, 1997)

Behavioral Petri nets: a model for diagnostic knowledge representation and reasoning. - Luigi Portinale (IEEE Trans. Syst. Man Cybern. Part B, 1997)

Dynamic Case Memory Management. - Luigi Portinale; Pietro Torasso; Paolo Tavano (ECAI, 1998)

Retrieval in a Prototype-Based Case Library: A Case Study in Diabetes Therapy Revision. - Riccardo Bellazzi; Stefania Montani; Luigi Portinale (EWCBR, 1998)

Multi-modal Reasoning in Diabetic Patient Management. - Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Alberto Riva; Mario Stefanelli (AIMDM, 1999)

Integrating Rule-Based and Case-Based Decision Making in Diabetic Patient Management. - Riccardo Bellazzi; Stefania Montani; Luigi Portinale; Alberto Riva (ICCBR, 1999)

Speed-Up, Quality and Competence in Multi-modal Case-Based Reasoning. - Luigi Portinale; Pietro Torasso; Paolo Tavano (ICCBR, 1999)

Diagnosis as a Variable Assignment Problem: A Case Study in a Space Robot Fault Diagnosis. - Luigi Portinale; Pietro Torasso (IJCAI, 1999)

Supporting decisions in diabetic patients management through Case-Based retrieval. - Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Stefano Fiocchi; Giuseppe d'Annunzio; Mario Stefanelli (MIE, 1999)

Exploiting Petri nets to support fault tree based dependability analysis. - Andrea Bobbio; Giuliana Franceschinis; Rossano Gaeta; Luigi Portinale (PNPM, 1999)

Comparing Fault Trees and Bayesian Networks for Dependability Analysis. - Andrea Bobbio; Luigi Portinale; Michele Minichino; Ester Ciancamerla (SAFECOMP, 1999)

Bayesian Networks for Dependability Analysis: an Application to Digital Control Reliability. - Luigi Portinale; Andrea Bobbio (UAI, 1999)

Artificial Intelligence Techniques for Diabetes Management: the T-IDDM Project. - Stefania Montani; Riccardo Bellazzi; Alberto Riva; Cristiana Larizza; Luigi Portinale; Mario Stefanelli (ECAI, 2000)

Evaluating a Multi-modal Reasoning System in Diabetes Care. - Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Mario Stefanelli (EWCBR, 2000)

Automatic Case Base Management in a Multi-modal Reasoning System. - Luigi Portinale; Pietro Torasso (EWCBR, 2000)

Diabetic patients management exploiting case-based reasoning techniques. - Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Giuseppe d'Annunzio; Stefano Fiocchi; Mario Stefanelli (Comput. Methods Programs Biomed., 2000)

A multi-modal reasoning methodology for managing IDDM patients. - Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Mario Stefanelli (Int. J. Medical Informatics, 2000)

Exploiting Fuzzy-SQL in Case-Based Reasoning. - Luigi Portinale; Andrea Verrua (FLAIRS, 2001)

Dependability Assessment of an Industrial Programmable Logic Controller via Parametric Fault-Tree and High level Petri Net. - Andrea Bobbio; Giuliana Franceschinis; Rossano Gaeta; Luigi Portinale (PNPM, 2001)

Case-Base Maintenance in a Multimodal Reasoning System. - Luigi Portinale; Pietro Torasso (Comput. Intell., 2001)

Cased-Based Reasoning for medical knowledge-based systems. - Rainer Schmidt 002; Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Lothar Gierl (Int. J. Medical Informatics, 2001)

Improving the analysis of dependable systems by mapping fault trees into Bayesian networks. - Andrea Bobbio; Luigi Portinale; Michele Minichino; Ester Ciancamerla (Reliab. Eng. Syst. Saf., 2001)

A Fuzzy Case Retrieval Approach Based on SQL for Implementing Electronic Catalogs. - Luigi Portinale; Stefania Montani (ECCBR, 2002)

Methods of Increasing Modelling Power for Safety Analysis, Applied to a Turbine Digital Control System. - Andrea Bobbio; Ester Ciancamerla; Giuliana Franceschinis; Rossano Gaeta; Michele Minichino; Luigi Portinale (SAFECOMP, 2002)

Parametric Dependability Analysis through Probabilistic Horn Abduction. - Andrea Bobbio; Stefania Montani; Luigi Portinale (UAI, 2003)

Sequential application of heterogeneous models for the safetyanalysis of a control system: a case study. - Andrea Bobbio; Ester Ciancamerla; Giuliana Franceschinis; Rossano Gaeta; Michele Minichino; Luigi Portinale (Reliab. Eng. Syst. Saf., 2003)

Parametric Fault Tree for the Dependability Analysis of Redundant Systems and Its High-Level Petri Net Semantics. - Andrea Bobbio; Giuliana Franceschinis; Rossano Gaeta; Luigi Portinale (IEEE Trans. Software Eng., 2003)

RHENE: A Case Retrieval System for Hemodialysis Cases with Dynamically Monitored Parameters. - Stefania Montani; Luigi Portinale; Riccardo Bellazzi; Giorgio Leonardi (ECCBR, 2004)

Multi-modal diagnosis combining case-based and model-based reasoning: a formal and experimental analysis. - Luigi Portinale; Diego Magro; Pietro Torasso (Artif. Intell., 2004)

Case Based Representation and Retrieval with Time Dependent Features. - Stefania Montani; Luigi Portinale (ICCBR, 2005)

Case Retrieval with Time Series Features. - Stefania Montani; Luigi Portinale; Riccardo Bellazzi; Giorgio Leonardi (Intelligenza Artificiale, 2005)

Automatically Translating Dynamic Fault Trees into Dynamic Bayesian Networks by Means of a Software Tool. - Stefania Montani; Luigi Portinale; Andrea Bobbio; Daniele Codetta Raiteri (ARES, 2006)

A Case-Based Architecture for Temporal Abstraction Configuration and Processing. - Luigi Portinale; Stefania Montani; Alessio Bottrighi; Giorgio Leonardi; José M. Juárez (ICTAI, 2006)

Case-based retrieval to support the treatment of end stage renal failure patients. - Stefania Montani; Luigi Portinale; Giorgio Leonardi; Riccardo Bellazzi; Roberto Bellazzi (Artif. Intell. Medicine, 2006)

Accounting for the Temporal Dimension in Case-Based Retrieval: A Framework for Medical Applications. - Stefania Montani; Luigi Portinale (Comput. Intell., 2006)

Compiling Dyanamic Fault Trees into Dynamic Bayesian Nets for Reliability Analysis: the RADYBAN Tool. - Luigi Portinale; Andrea Bobbio; Daniele Codetta Raiteri; Stefania Montani (BMA, 2007)

Bayesian networks in reliability. - Helge Langseth; Luigi Portinale (Reliab. Eng. Syst. Saf., 2007)

Assessing the Quality of Care for End Stage Renal Failure Patients by Means of Artificial Intelligence Methodologies. - Stefania Montani; Luigi Portinale; Riccardo Bellazzi; Cristiana Larizza; Roberto Bellazzi (Advanced Computational Intelligence Paradigms in Healthcare (1), 2007)

A Fuzzy Logic Approach to Case Matching and Retrieval Suitable to SQL Implementation. - Luigi Portinale; Stefania Montani (ICTAI (2), 2008)

Semi-automatic Configuration of Temporal Abstractions of Time Series Data Using CBR. - Giorgio Leonardi; Alessio Bottrighi; Stefania Montani; Luigi Portinale (ICDM (Posters and Workshops), 2008)

Special issue on case-based reasoning in the health sciences. - Isabelle Bichindaritz; Stefania Montani; Luigi Portinale (Appl. Intell., 2008)

Radyban: A tool for reliability analysis of dynamic fault trees through conversion into dynamic Bayesian networks. - Stefania Montani; Luigi Portinale; Andrea Bobbio; Daniele Codetta Raiteri (Reliab. Eng. Syst. Saf., 2008)

A Fuzzy Approach to Product Configuration on Standard Databases. - Luigi Portinale (AI*IA, 2009)

Multi-level Abstractions and Multi-dimensional Retrieval of Cases with Time Series Features. - Stefania Montani; Alessio Bottrighi; Giorgio Leonardi; Luigi Portinale; Paolo Terenziani (ICCBR, 2009)

Extending the JColibri Open Source Architecture for Managing High-Dimensional Data and Large Case Bases. - Alessio Bottrighi; Giorgio Leonardi; Stefania Montani; Luigi Portinale (ICTAI, 2009)

A CBR-Based, Closed-Loop Architecture for Temporal Abstractions Configuration. - Stefania Montani; Alessio Bottrighi; Giorgio Leonardi; Luigi Portinale (Comput. Intell., 2009)

Intelligent Data Interpretation and Case Base Exploration through Temporal Abstractions. - Alessio Bottrighi; Giorgio Leonardi; Stefania Montani; Luigi Portinale; Paolo Terenziani (ICCBR, 2010)

Supporting reliability engineers in exploiting the power of Dynamic Bayesian Networks. - Luigi Portinale; Daniele Codetta Raiteri; Stefania Montani (Int. J. Approx. Reason., 2010)

Using Dynamic Decision Networks and Extended Fault Trees for Autonomous FDIR. - Luigi Portinale; Daniele Codetta Raiteri (ICTAI, 2011)

Flexible and Efficient Retrieval of Haemodialysis Time Series. - Stefania Montani; Giorgio Leonardi; Alessio Bottrighi; Luigi Portinale; Paolo Terenziani (ProHealth/KR4HC, 2012)

A dynamic Bayesian network based framework to evaluate cascading effects in a power grid. - Daniele Codetta Raiteri; Andrea Bobbio; Stefania Montani; Luigi Portinale (Eng. Appl. Artif. Intell., 2012)

Towards a Second Generation of Computer Interpretable Guidelines. - Paolo Terenziani; Alessio Bottrighi; Laura Giordano 001; Giuliana Franceschinis; Stefania Montani; Luigi Portinale; Daniele Theseider Dupré (DATA, 2013)

A GSPN based tool to inference generalized continuous time Bayesian networks. - Daniele Codetta Raiteri; Luigi Portinale (VALUETOOLS, 2013)

Supporting Flexible, Efficient, and User-Interpretable Retrieval of Similar Time Series. - Stefania Montani; Giorgio Leonardi; Alessio Bottrighi; Luigi Portinale; Paolo Terenziani (IEEE Trans. Knowl. Data Eng., 2013)

Decision Networks for Modeling and Analysis of Attack/Defense Scenarios in Critical Infrastructures. - Daniele Codetta Raiteri; Luigi Portinale; Roberta Terruggia (FLAIRS, 2014)

Quantitative evaluation of attack/defense scenarios through Decision Network modelling and analysis. - Daniele Codetta Raiteri; Luigi Portinale; Roberta Terruggia (ICCST, 2014)

Advances in the GINSENG Project. - Paolo Terenziani; Alessio Bottrighi; Laura Giordano 001; Giuliana Franceschinis; Stefania Montani; Luca Piovesan; Luigi Portinale; Stefania Rubrichi; Matteo Spiotta; Daniele Theseider Dupré (ICHI, 2014)

Modeling and Analysis of Dependable Systems - A Probabilistic Graphical Model Perspective - Luigi Portinale; Daniele Codetta Raiteri (Modeling and Analysis of Dependable Systems, 2015)

Exploiting Data Mining for Authenticity Assessment and Protection of High-Quality Italian Wines from Piedmont. - Marco Arlorio; Jean Daniel Coïsson; Giorgio Leonardi; Monica Locatelli; Luigi Portinale (KDD, 2015)

A time series retrieval tool for sub-series matching. - Alessio Bottrighi; Giorgio Leonardi; Stefania Montani; Luigi Portinale; Paolo Terenziani (Appl. Intell., 2015)

Dynamic Bayesian Networks for Fault Detection, Identification, and Recovery in Autonomous Spacecraft. - Daniele Codetta Raiteri; Luigi Portinale (IEEE Trans. Syst. Man Cybern. Syst., 2015)

A Smart Financial Advisory System Exploiting Case-Based Reasoning. - Luigi Portinale; Giorgio Leonardi; Paolo Artusio; Marco Valsania (FINREC, 2016)

Recommending Personalized Asset Investments through Case-Based Reasoning: The SMARTFASI System. - Giorgio Leonardi; Luigi Portinale; Paolo Artusio; Marco Valsania (ICTAI, 2016)

Applying Machine Learning to High-Quality Wine Identification. - Giorgio Leonardi; Luigi Portinale (AI*IA, 2017)

Generalized Continuous Time Bayesian Networks as a modelling and analysis formalism for dependable systems. - Daniele Codetta Raiteri; Luigi Portinale (Reliab. Eng. Syst. Saf., 2017)

Special section on "Applications of probabilistic graphical models in dependability, diagnosis and prognosis". - Philippe Weber; Luigi Portinale (Reliab. Eng. Syst. Saf., 2017)

Investigating the Role of Ensemble Learning in High-Value Wine Identification. - Luigi Portinale; Monica Locatelli (AAAI, 2018)

Case-Based and Multimodal Reasoning: the contribution of Piero Torasso. - Luigi Portinale (Intelligenza Artificiale, 2018)

Decision Networks for Security Risk Assessment of Critical Infrastructures. - Daniele Codetta Raiteri; Luigi Portinale (ACM Trans. Internet Techn., 2018)

Exploiting Markov Random Fields to Enhance Retrieval in Case-Based Reasoning. - Luigi Portinale (FLAIRS, 2019)

Analysis and Detection of Cyber Attack Processes targeting Smart Grids. - Davide Cerotti; Daniele Codetta Raiteri; Lavinia Egidi; Giuliana Franceschinis; Luigi Portinale; Giovanna Dondossola; Roberta Terruggia (ISGT Europe, 2019)

A Bayesian Network Approach for the Interpretation of Cyber Attacks to Power Systems. - Davide Cerotti; Daniele Codetta Raiteri; Giovanna Dondossola; Lavinia Egidi; Giuliana Franceschinis; Luigi Portinale; Roberta Terruggia (ITASEC, 2019)

Approaching Adaptation Guided Retrieval in Case-Based Reasoning through Inference in Undirected Graphical Models. - Luigi Portinale (CoRR, 2019)

Discovering Knowledge Embedded in Bio-medical Databases: Experiences in Food Characterization and in Medical Process Mining. - Giorgio Leonardi; Stefania Montani; Luigi Portinale; Silvana Quaglini; Manuel Striani (Innovations in Big Data Mining and Embedded Knowledge, 2019)

Clustering Users by exploiting Activity Tracks in Recommender Systems for SME. - Luigi Portinale; Samuele Brondolin (ICTAI, 2021)

A Hybrid Recommender System with Implicit Feedbacks in Fashion Retail. - Ilaria Cestari; Luigi Portinale; Pier Luigi Riva (AI*IA, 2022)

A multimodal approach to automated generation of radiology reports using contrastive learning (SHORT PAPER). - Andrea Santomauro; Luigi Portinale; Giorgio Leonardi (HC@AIxIA, 2022)

Graph-based Recommendation using Graph Neural Networks. - Marco Dossena; Christopher Irwin; Luigi Portinale (ICMLA, 2022)

Multimodal Deep Learning and Fast Retrieval for Recommendation. - Daniele Ciarlo; Luigi Portinale (ISMIS, 2022)

A Multi-label Classification Study for the Prediction of Long-COVID Syndrome. - Marco Dossena; Christopher Irwin; Luca Piovesan; Luigi Portinale (AI*IA, 2023)

Enhancing Medical Image Report Generation through Standard Language Models: Leveraging the Power of LLMs in Healthcare. - Andrea Santomauro; Luigi Portinale; Giorgio Leonardi (HC@AIxIA, 2023)

Hybrid Bayesian Networks for the Reliability Analysis of Systems with Continuous Variables. - Luigi Portinale (FLAIRS, 2023)

Knowledge Distillation for a Domain-Adaptive Visual Recommender System. - Alessandro Abluton; Luigi Portinale (FLAIRS, 2024)

An Introduction to Probabilistic Graphical Models. - Luigi Portinale (FLAIRS, 2024)

Similarity-Based Positional Encoding for Enhanced Classification in Medical Images (Short Paper). - Luigi Portinale; Giorgio Leonardi; Andrea Santomauro (HC@AIxIA, 2024)

Integrating kNN Retrieval with Inference on Graphical Models in Case-Based Reasoning. - Luigi Portinale (ICCBR, 2024)

SecuriDN: a customizable GUI generating cybersecurity models for DER control architectures. - Davide Cerotti; Daniele Codetta Raiteri; Giovanna Dondossola; Lavinia Egidi; Giuliana Franceschinis; Luigi Portinale; Roberta Terruggia; Davide Savarro (ITASEC, 2024)

Graph Neural Networks for Gut Microbiome Metaomic data: A preliminary work. - Christopher Irwin; Flavio Mignone; Stefania Montani; Luigi Portinale (CoRR, 2024)

Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Subtype Classification. - Annalisa Chiocchetti; Marco Dossena; Christopher Irwin; Luigi Portinale (CoRR, 2024)

Fast retrieval of multi-modal embeddings for e-commerce applications. - Alessandro Abluton; Daniele Ciarlo; Luigi Portinale (Int. J. Knowl. Based Intell. Eng. Syst., 2024)

Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Sub-type Classification. - Marco Dossena; Christopher Irwin; Annalisa Chiocchetti; Luigi Portinale (AAAI Spring Symposia, 2025)

Graph Representation Learning for IBD Diagnosis Based on Microbiome Metaomic Data. - Christopher Irwin; Flavio Mignone; Stefania Montani; Luigi Portinale (AIME (1), 2025)