A-51 A. Bottrighi, M. Guazzone, G. Leonardi, S. Montani, M. Striani, P. Terenziani, Integrating ISA and Part-of Domain Knowledge into Process Model Discovery, Future Internet 14 (12) (2022) 357 (32 pages)
A-50 G. Leonardi, S. Montani, M. Striani, Novel deep learning architectures for haemodialysis time series classification, International Journal of Knowledge-based and Intelligent Engineering Systems 26 (2) (2022) 91-99
A-49 G. Leonardi, S. Montani, M. Striani, Explainable process trace classification: an application to stroke, Journal of Biomedical Informatics 126 (2022) 103981
A-48 M. Strozzi, A. Varrica, M. Colivicchi, C. Pelazzo, R. Negri, A. Galante, P. Ianniello, R. Sterpone, P. Nannini, D. Leo, F. Mannarino, M. Striani, S. Montani, D. Gazzolo, High-Fidelity simulation-based program improves flow state scale in the perinatal team, Italian Journal of Pediatrics 47, 42 (2001)
A-47 A. Bottrighi, L. Canensi, G. Leonardi, S. Montani, P.Terenziani, Interactive mining and retrieval from process traces, Expert Systems with Applications 110 (2018) 62–79
A-46 G. Leonardi, M. Striani, S. Quaglini, A. Cavallini, S. Montani, Leveraging Semantic Labels for Multi-level Abstraction in Medical Process Mining and Trace Comparison, Journal of Biomedical Informatics 83 (2018) 10-24
A-45 L. Canensi, G.Leonardi, S. Montani, P.Terenziani, A context-aware miner for medical processes, Journal of e-learning and knoweldge society14(1) (2018) 33-44
A-44 M. Canonico, S. Montani, M. Striani, A telemedicine support for improving medical emergency management, EAI Endorsed Transactions on Ambient Systems 17(16): e2 (2017)
A-43 S. Montani, M. Canonico, D. Gazzolo, M. Striani, M.C. Strozzi, TEEM: Technology-Enhanced Emergency Management for supporting data communication during patient transportation, International Journal of Mobile Computing and Multimedia Communications 8(4) (2017) 49-65
A-42 S. Montani, G. Leonardi, M. Striani, S. Quaglini, A. Cavallini, Multi-level abstraction for trace comparison and process discovery, Expert Systems with Applications 81 (2017) 398-409
A-41 A. Bottrighi, L. Canensi, G. Leonardi, S. Montani, P. Terenziani, Trace Retrieval for Business Process Operational Support, Expert Systems with Applications 55 (2016) 212-221
A-40 S. Montani, G. Leonardi, S. Quaglini, A. Cavallini, G. Micieli, A knowledge-intensive approach to process similarity calculation, Expert Systems with Applications 42 (2015) 4207-4215
A-39 A. Bottrighi, G. Leonardi, S. Montani, L. Portinale, P. Terenziani, A time series retrieval tool for sub-series matching, Applied Intelligence 43(1) (2015) 132-149
A-38 S. Montani, G. Leonardi, S. Quaglini, A. Cavallini, G. Micieli, Improving structural medical process comparison by exploiting domain knowledge and mined information, Artificial Intelligence in Medicine 62 (2014) 33-45
A-37 A. Bottrighi, G. Molino, S. Montani, P. Terenziani, M. Torchio, Supporting a Distributed Execution of Clinical Guidelines, Computer Methods and Programs in Biomedicine 112 (2013) 200-210
A-36 C. Marling, S. Montani, I. Bichindaritz, P. Funk, Synergistic Case-Based Reasoning in Medical Domains, Expert Systems with Applications 41 (2014) 249-259
A-35 L. Anselma, A. Bottrighi, S. Montani, P. Terenziani, Managing proposals and evaluations of updates to medical knowledge: theory and applications, Journal of Biomedical Informatics 46 (2013) 363–376
A-34 S. Montani, G. Leonardi, Retrieval and clustering for supporting business process adjustment and analysis, Information Systems 40 (2014) 128-141 (online since 2012)
A-33 S. Montani, G. Leonardi, S. Ghignone, L. Lanfranco, Flexible case-based retrieval for comparative genomics, Applied Intelligence 39 (2013) 144-152
A-32 I. Bichindaritz, S. Montani, Report on the Eighteenth International Conference on Case-Based Reasoning, AI Magazine 33 (2012) 79-82
A-31 S. Montani, G. Leonardi, A. Bottrighi, L. Portinale, P. Terenziani, Supporting flexible, efficient and user-interpretable retrieval of similar time series, IEEE Transactions on Knowledge and Data Engineering 25(3): 677-689 (2013) (online since 2011)
A-30 L. Anselma, A. Bottrighi, S. Montani, P. Terenziani, Extending BCDM to cope with proposals and evaluations of updates, IEEE Transactions on Knowledge and Data Engineering 25(3): 556-570 (2013) (online since 2011)
A-29 P. Bonfante, F. Cordero, S. Ghignone , D. Ienco, L. Lanfranco, G. Leonardi, R. Meo, S. Montani, L. Roversi, A. Visconti, A Modular Database Architecture Enabled to Comparative Sequence Analysis, LNCS journal Transactions on Large-Scale Data and Knowledge-Centered Systems, Elsevier, (2011) 124–147
A-28 L. Anselma, A. Bottrighi,G. Molino, S. Montani, P. Terenziani, M. Torchio, Supporting knowledge-based decision making in the medical context: the GLARE approach, International Journal of Knowledge-Based Organizations 1 (2011) 42-60
A-27 S. Montani, How to use contextual knowledge in medical case-based reasoning systems: a survey on very recent trends, Artificial Intelligence in Medicine 51 (2011) 125-131
A-26 D. Codetta-Raiteri, A. Bobbio, S. Montani, L. Portinale, A dynamic Bayesian network based framework to evaluate cascading effects in a power grid, Engineering Applications of Artificial Intelligence 25 (2012) 683-697 (published online in 2010)
A-25 A. Bottrighi, L. Giordano, G. Molino, S. Montani, P. Terenziani, M. Torchio, Adopting model checking techniques for clinical guidelines verification, Artificial Intelligence in Medicine 48 (2010) 1-19
A-24 L. Portinale, D. Codetta-Raiteri, S. Montani, Supporting reliability engineers in exploiting the power of dynamic Bayesian networks, International Journal of Approximate Reasoning 51 (2010) 179-195
A-23 L. Anselma, S. Montani, P. Terenziani, An intensional approach to qualitative and quantitative periodicity-dependent temporal constraint, International Journal of Intelligent Systems 24(8) (2009) 902-918
A-22 S. Montani, Prototype-based management of business process exception cases, Applied Intelligence 33 (2010) 278-290 (published online in 2009)
A-21 S. Montani, A. Bottrighi, G. Leonardi, L. Portinale, A CBR-based, closed loop architecture for Temporal Abstractions configuration, Computational Intelligence 25(3) (2009) 235-249
A-20 S. Montani, Case-based Reasoning for managing noncompliance with clinical guidelines, Computational Intelligence 25(3) (2009) 196-213
A-19 S. Montani, Exploring new roles for case-based reasoning in heterogeneous AI systems for medical decision support, Applied Intelligence 28(3) (2008) 275-285
A-18 S. Montani, C.Anglano, Achieving self-healing in service delivery software systems by means of Case-Based Reasoning, Applied Intelligence 28(2) (2008) 139-152
A-17 S. Montani, L. Portinale, A. Bobbio, D. Codetta-Raiteri, RADYBAN: a tool for reliability analysis of dynamic fault trees through conversion into dynamic bayesian networks, Reliability Engineering and System Safety 93 (2008) 922-932
A-16 S. Montani, L. Portinale, Accounting for the temporal dimension in case-based retrieval: a framework for medical applications, Computational Intelligence 22 (2006) 208-223
A-15 S. Montani, P. Terenziani, Exploiting decision theory concepts within clinical guideline systems: toward a general approach, International Journal of Intelligent Systems 21 (2006) 585-599
A-14 L.Anselma, P. Terenziani, S. Montani, A. Bottrighi, Towards a comprehensive treatment of repetitions, periodicity and temporal constraints in clinical guidelines, Artificial Intelligence in Medicine 38(2006) 171-195
A-13 S. Montani, L. Portinale, G. Leonardi, R. Bellazzi, R. Bellazzi, Case-based retrieval to support the treatment of end stage renal failure patients, Artificial Intelligence in Medicine 37 (2006) 31-42
A-12 S. Montani, P.Magni, R. Bellazzi, C. Larizza, A.V. Roudsari, E.R. Carson, Integrating model-based decision support in a multi-modal reasoning system for managing type 1 diabetic patients, Artificial Intelligence in Medicine 29 (2003) 131-151
A-11 L. Portinale, S. Montani, R. Bellazzi, A fuzzy approach to case retrieval through fuzzy extensions of SQL, International Journal on Engineering Intelligent Systems 10(3) (2002) 159-171
A-10 S. Montani, R. Bellazzi, Supporting decisions in medical applications: the knowledge management perspective, International Journal of Medical Informatics 68(1-3) (2002) 79-90
A-9 R. Bellazzi, C. Larizza, S. Montani, et al., A telemedicine support for diabetes management: the T-IDDM project, Computer Methods and Programs in Biomedicine 69 (2002) 147-161
A-8 S. Montani, R. Bellazzi, S. Quaglini, G. d'Annunzio, Meta-analysis of the effect of the use of computer-based systems on the metabolic control of patients with diabetes mellitus, Diabetes Technology and Therapeutics 3(3) (2001) 347-356
A-7 R. Schmidt, S. Montani, R. Bellazzi, L. Portinale, L. Gierl, Case-based reasoning for medical knowledge-based systems, International Journal of Medical Informatics 64(2-3) (2001) 355-367
A-6 R. Bellazzi, S. Montani, A. Riva and M. Stefanelli, Web-based telemedicine systems for home-care: technical issues and experiences, Computer Methods and Programs in Biomedicine 64(3) (2001) 175-187
A-5 R. Bellazzi, S. Montani, Building telemedicine systems for supporting decisions in diabetes care: a report from a running experience, Diabetes Technology and Therapeutics 2(4) (2000) 577-582
A-4 S. Montani, R. Bellazzi, L. Portinale, M. Stefanelli, A multi-modal reasoning methodology for managing IDDM patients, International Journal of Medical Informatics 58-59 (2000) 243-256
A-3 R. Bellazzi, C. Larizza, P. Magni, S. Montani and M. Stefanelli, Intelligent analysis of clinical time series: an application in the diabetes mellitus domain, Artificial Intelligence in Medicine Journal 20 (2000) 37-57
A-2 S. Montani, R. Bellazzi, L. Portinale, G. d'Annunzio, S. Fiocchi, M. Stefanelli, Diabetic patients management exploiting case-based reasoning techniques, Computer Methods and Programs in Biomedicine 62 (2000) 205-218
A-1 S. Montani, R. Bellazzi, C. Larizza, A. Riva, G. d'Annunzio, S. Fiocchi, R. Lorini and M. Stefanelli, Protocol-based reasoning in diabetic patient management, International Journal of Medical Informatics 53 (1999) 61-77
Book Chapters (in bold if published in Springer Lecture Notes)
B-21 G. Leonardi, S. Montani, M. Striani, Classifying Process Traces for Stroke Management Quality Assessment: A Deep Learning Approach, C.P. Lim et al. (eds.), Handbook of Artificial Intelligence in Healthcare, Intelligent Systems Reference Library 211, Springer Nature, Switzerland, pp. 373-387, 2021
B-20 G. Leonardi, S. Montani, M. Striani, Deep Learning for Haemodialysis Time Series Classification, M. Marcos et al. (Eds.), Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems (KR4HC 2019/TEAAM 2019 workshops post-proceedings), LNAI 11979, Springer Nature, Switzerland, pp. 50-64, 2019
B-19 S. Montani, M. Striani, Artificial Intelligence in Clinical Decision Support: a Focused Literature Survey, IMIA Yearbook of Medical Informatics 2019, K. Fultz Hollis and L.F. Soualmia and B. Seroussi (Eds.), IMIA and Georg Thieme Verlag KG, New York, pp. 120-127, 2019
B-18 G. Leonardi, S. Montani, L. Portinale, S. Quaglini, M. Striani, Discovering knowledge embedded in bio-medical databases: experiences in food characterization and in medical process mining, A. Esposito, A. M. Esposito, L. C. Jain (Eds.), Innovations in Big Data Mining and Embedded Knowledge, Intelligent Systems Reference Library 159 Springer Nature, Switzerland, pp. 117-136, 2019
B-17 G. Leonardi, M. Striani, S. Quaglini, A. Cavallini, S, Montani, Towards semantic process mining through knowledge-based trace abstraction, P. Ceravolo, M. Van Keulen, K. Stoffel(Eds.), Data-Driven Process Discovery and Analysis, SIMPDA 2017, LNBIP 340, pp. 1–20, 2019, Springer Switzerland
B-16 S. Montani Abstraction as a means to improve process mining and process analysis in healthcare, M. Cesarelli, M. Gicomini, F. Pinciroli, S. Quaglini (Eds.), E-Health - Medicina Digitale, Patron Editore, Bologna, pp.75-92, 2017
B-15 L. Anselma, A. Bottrighi, L. Giordano, A. Hommersom, G. Molino, S. Montani, P. Terenziani, M. Torchio, A Hybrid Approach to the Verification of Computer Interpretable Guidelines, A. Hommerson, P. Lucas (Eds.), Foundations of Biomedical Knowledge Representation, LNAI 9521, Springer, Switzerland, pp. 287-315, 2015
B-14 S. Montani, G. Leonardi, S. Quaglini, A. Cavallini, G. Micieli, Knowledge-Intensive Medical Process Similarity, S. Miksch, D. Riano, A. Ten Tejie (Eds.), Knowledge Representation for Health Care (KR4HC), LNAI 8903, Springer, Switzerland, pp. 1–13, 2014
B-13 S. Montani, L. Jain, Case-Based Reasoning Systems, in S. Montani, L. Jain eds., Successful Case-Based Reasoning Applications, vol. 2, Studies In Computational Intelligence 494, Springer, Berlin 2013
B-12 S. Montani, G. Leonardi, Non-exhaustive trace retrieval for managing stroke patients, in S. Montani, L. Jain eds., Successful Case-Based Reasoning Applications, vol. 2, Studies In Computational Intelligence 494, Springer, Berlin 2013
B-11 S. Montani,, G. Leonardi, A. Bottrighi, L. Portinale, P. Terenziani, Flexible and Efficient Retrieval of Haemodialysis Time Series, in R. Lenz et al. eds., ProHealth 2012/KR4HC 2012, Lecture Notes in Artificial Intelligence 7738, Springer, Berlin 2013, pp. 154–167
B-10 S. Montani, L. Jain, Innovations in Case-Based Reasoning Applications, in S. Montani, L. Jain eds., Successful Case-Based Reasoning Applications, SCI 305, Springer, Berlin 2010, pp. 1-5
B-9 F. Cordero, S. Ghignone, L. Lanfranco, G. Leonardi, R. Meo, S. Montani, L. Roversi, BIOBITS A study on Candidatus Glomeribacter gigasporarum with a data warehouse, in C. Plant, C. Bohm eds., Database Technology for Life Sciences and Medicine, World Scientific, Singapore, 2010
B-8 S. Montani, Providing case-based retrieval as a decision support strategy in time dependent medical domains, in I. Bichindaritz, L. Jain eds., Computational Intelligence in Health Care 4, SCI 309, Springer, Berlin 2010, pp. 211-228
B-7 A. Bottrighi, F.Chesani, P. Mello, M. Montali, S. Montani, S. Storari, P. Terenziani, Analysis of the GLARE and GPROVE approaches to Clinical Guidelines, in D. Riano, A. Ten Teije, S. Miksch, M. Peleg eds., Knowledge Representation for Health Care, LNAI 6512, Springer, Berlin, 2011, pp. 76-87
B-6 L. Anselma, S. Montani, Planning: Supporting and Optimizing Clinical Guidelines Execution, in A. Ten Teije, S. Miksch, P. Lucas, Computer-based medical guidelines and protocols: A primer and current trends, IOS Press, Amsterdam, 2008, pp. 101-120
B-5 P.Terenziani, S. Montani, A. Bottrighi, G. Molino, M. Torchio, Applying Artificial Intelligence to Clinical Guidelines: the GLARE Approach, in A. Ten Teije, S. Miksch, P. Lucas, Computer-based medical guidelines and protocols: A primer and current trends, IOS Press, Amsterdam, 2008, pp. 273-282
B-4 A. Bobbio, D. Codetta-Raiteri, S. Montani, L. Portinale, Reliability analysis of systems with dynamic dependencies, in O. Pourret, P. Naim, B.G. Marcot, Bayesian Belief Networks: a Practical Guide to Applications, Wiley, Chichester, 2008, pp. 225-238
B-3 S. Montani, L. Portinale, R. Bellazzi, C. Larizza, R. Bellazzi, Assessing the quality of care for end stage renal failure patients by means of artificial intelligence methodologies, in H. Yoshida, A. Jain, A. Ichalkaranje, L. Jain, N. Ichalkaranje eds., Advanced Computational Intelligence Paradigms in Healthcare, Springer, Berlin, 2007, pp. 89-112
B-2 L. Portinale, A. Bobbio, S. Montani, From artificial intelligence to dependability: modeling and analysis with bayesian networks, in A.Wilson, N. Limnios, S. Keller-McNulty, Y. Armijo, Modern Statistical and Mathematical Methods in Reliability, World Scientific, London, 2005, pp. 365-382
B-1 S. Montani, R. Bellazzi, The evolution of decision support systems in healthcare, in G. Tonfoni, L. Jain, eds., Innovations in Decision Support Systems, Advanced Knowledge International, Adelaide, 2003, pp. 241-281
C-120 A. Bottrighi, M. Guazzone, G. Leonardi, S. Montani, M. Striani, P. Terenziani, AS-SIM: An Approach to Action-State Process Model Discovery, M. Ceci et al. (Eds.), ISMIS 2022, LNAI 13515, 336-345, 2022
C-119 G. Leonardi, S. Montani, M. Striani,An Inception-Based Architecture for Haemodialysis Time Series Classification, L. Iliadis (Ed.), AIAI 2021 Workshops, IFIP AICT 628, Springer, 1–10, 2021
C-118 G. Leonardi, S. Montani, M. Striani, Process trace classification for stroke management quality assessment, International Conference on Case Based Reasoning (ICCBR), Salamanca, June 2020, I. Watson and R. Weber eds., LNAI 12311, Springer, 1–15, 2020
C-117 G. Leonardi, S. Montani, M. Striani, Deep feature extraction for representing and classifying time series cases: towards an interpretable approach in haemodialysis. In Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2020, Miami, Florida, R. Bartak, E. Bell eds., AAAI Press, 417-420, 2020
C-116 S. Montani, How data-driven AI can benefit from formalized knowledge to become more “explainable”: an experience from medical process mining, workshop on Emerging Technologies in Healthcare - Legal, Ethical and Social Aspects, Middlesex University, London, November 2019
C-115 G. Leonardi, S. Montani, M. Striani, Deep learning for haemodialysis time series classification, Knowledge Representation for Health Care/Process-oriented information systems in healthcare Joint Workshop (KR4HC/Prohealth), Poznan, June 2019
C-114 A. Bottrighi, G. Leonardi, S. Montani, P. Terenziani, Knowledge-based abstraction of medical process models, Knowledge Representation for Health Care/Process-oriented information systems in healthcare Joint Workshop (KR4HC/Prohealth), Poznan, June 2019
C-113 G. Leonardi, M. Striani, S. Quaglini, A. Cavallini, S, Montani, From semantically abstracted traces to process mining and process model comparison, Proc. International Conference of the Italian Association for Artificial Intelligence (AI*IA) 2018, Trento, November 2018, LNAI 11298, C. Ghidini, B. Magnini, A. Passerini, P. Traverso eds., Springer, 1-13, 2018
C-112 G. Leonardi, M. Striani, S. Quaglini, A. Cavallini, S. Montani, From knowledge-based trace abstraction to process model comparison, Proc. Workshop on Synergies between Case-Based Reasoning and Machine Learning, International Conference on Case Based Reasoning (ICCBR), Stockholm, July 2018, CEUR-WS
C-111 S. Montani, M. Striani, S. Quaglini, A. Cavallini, G. Leonardi, Towards semantic process mining through knowledge-based trace abstraction, Proc. International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), Neuchatel, December 2017, CEUR-WS Vol-2016 urn:nbn:de:0074-2016-7, 98-112, 2017
C-110 S. Montani, M. Striani, G. Leonardi, S. Quaglini, A. Cavallini, Semantic trace comparison at multiple levels of abstraction, Proc. International Conference on Case Based Reasoning (ICCBR) 2017, Trondheim, June 2017, LNAI 10339, D. Aha, J. Lieber, eds., Springer, Berlin, 212-226, 2017
C-109 S. Montani, M. Striani, S. Quaglini, A. Cavallini, G. Leonardi, Knowledge-based trace abstraction for semantic process mining, Proc. Conference on Artificial Intelligence in Medicine (AIME) 2017, Vienna, June 2017, LNAI 10259, A. Ten Tejie, C. Popow, J. Holmes, L. Sacchi eds., Springer, Berlin, 267-271, 2017
C-108 L. Canensi, G. Leonardi, S. Montani, P. Terenziani, Multi-level interactive medical process mining, Proc. Conference on Artificial Intelligence in Medicine (AIME) 2017, Vienna, June 2017, LNAI 10259, A. Ten Tejie, C. Popow, J. Holmes, L. Sacchi eds., Springer, Berlin, 256-260, 2017
C-107 I. Bichindaritz, C. Marling, S. Montani, Recent themes in Case-Based Reasoning and Knowledge Discovery, International Florida Artificial Intelligence Research Society (FLAIRS) Conference, Special Track on Case-Based Reasoning, Marco Island, May 2017, AAAI
C-106 L. Canensi, G. Leonardi, S. Montani, P. Terenziani, A context-aware miner for medical processes, Proc. Workshop on Synergies between Case-Based Reasoning and Knowledge Discovery, International Conference on Case Based Reasoning (ICCBR), Atlanta, November 2016, CEUR-WS
C-105 M. Canonico, S. Montani, M. Striani, TEEM: a mobile app for technology-enhanced emergency management, Proc. EAI International Conference on IoT Technologies for Helthcare, Vasteras, October 2016, Springer, Berlin, LNICST 187, M. Ahmed et al eds., Springer, Berlin, 1-6, 2017
C-104 L. Canensi, G. Leonardi, S. Montani, P. Terenziani, Mining the log-tree of process traces: current approach and future perspectives, Proc. IEEE International Conference on Tools with Artificial Intelligent (ICTAI) 2015, Vietri sul Mare, November 2015, IEEE Computer Society, Los Alamitos
C-103 A. Bottrighi, L. Canensi, G. Leonardi, S. Montani, P. Terenziani, Trace Retrieval as a Tool for Operational Support in Medical Process Management, Proc. Workshop on Case-Based Reasoning in the Health Sciences, International Conference on Case Based Reasoning (ICCBR), Frankfurt, September 2015, CEUR-WS Vol-1520
C-102 L. Canensi, S. Montani, G. Leonardi, P. Terenziani, ChAPMaN: a Context Aware Process MiNer, Proc. Workshop on Synergies between Case-Based Reasoning and Data Mining, International Conference on Case Based Reasoning (ICCBR), Cork, September 2014
C-101 P. Terenziani, A. Bottrighi, L. Giordano, G. Franceschinis, S. Montani, L. Piovesan, L. Portinale, S. Rubrichi, M. Spiotta, D. Theseider Dupre’, Advances in the Ginseng project, Proc. IEEE International Conference on Healthcare Informatics, Verona, September 2014
C-100 S. Montani, G. Leonardi, S. Quaglini, A. Baudi, Improving Process Model Retrieval by Accounting for Gateway Nodes: an Ongoing Work, in L. Giordano, S. Montani, D. Theseider Dupre eds., Proc. Workshop "AI meets Business Processes", CEUR Vol-1101, 2013, 31-40
C-99 P. Terenziani, A. Bottrighi, G. Franceschinis, L. Giordano, S. Montani, L. Portinale, D. Theseider Dupre, Towards a second generation of Computer Interpretable Guidelines, International Conference on data management technologies and applications (DATA), Reykjavik, July 2013, 199-205
C-98 S. Montani, G. Leonardi, S. Quaglini, A. Cavallini, G. Micieli, Mining and retrieving medical processes to assess the quality of care, Proc. International Conference on Case Based Reasoning (ICCBR) 2013, LNCS 7969, S.J. Delany, S. Ontanon eds., Springer, Berlin, 233-240
C-97 S. Montani, G. Leonardi, A. Bottrighi, L. Portinale, P. Terenziani. Extending a time series retrieval tool to deal with sub-series matching: an application to the hemodialysis domain, Proc. Workshop on Case-Based Reasoning in the Health Sciences, International Conference on Case Based Reasoning (ICCBR), Lyon, September 2012
C-96 S. Montani, Case-based optimization of medical processes, Invited talk, Proc. Workshop on Process-Oriented Case-Based Reasoning, International Conference on Case Based Reasoning (ICCBR), Lyon, September 2012
C-95 S. Montani, G. Leonardi, Retrieval and clustering for business process monitoring: results and improvements, Proc. International Conference on Case Based Reasoning (ICCBR) 2012, LNCS 7466, B. Diaz Agudo and I. Watson eds., Springer, Berlin, 269–283
C-94 S. Montani, G. Leonardi, S. Ghignone, L. Lanfranco, Flexible and interactive retrieval for supporting in-silico studies of endobacteria, Proc. IEEE International Conference on Tools with Artificial Intelligent (ICTAI) 2011, Boca Raton, November 2011, IEEE Computer Society, Los Alamitos
C-93 S. Montani, G. Leonardi, S. Ghignone, L. Lanfranco, Flexible and interactive retrieval for supporting comparative genomics studies on endobacteria, Proc. Workshop on Human-centered Case-Based Reasoning, International Conference on Case-Based Reasoning (ICCBR), London, September 2011
C-92 S. Montani, G. Leonardi, M. Lo Vetere, Case Retrieval and Clustering for Business Process Monitoring, Proc. Workshop on Process-oriented Case-Based Reasoning, International Conference on Case-Based Reasoning (ICCBR), London, September 2011
C-91 A. Bottrighi, F. Chesani, P. Mello, M. Montali, S. Montani, P. Terenziani, Conformance Checking of Executed Clinical Guidelines in presence of Basic Medical Knowledge, Proc. Convegno Italiano di Logica Computazionale (CILC), Pescara, August 2011
C-90 A. Bottrighi, F. Chesani, P. Mello, M. Montali, S. Montani, P. Terenziani, Conformance Checking of Executed Clinical Guidelines in presence of Basic Medical Knowledge, Workshop on Process-oriented Information Systems in Healthcare, International Conference on Business Process Management (BPM), Clermont-Ferrand, August 2011, LNBIP 100, Springer, Berlin, 200-211
C-89 S. Montani, Case-based decision support in time dependent medical domains, World Computer Congress - International Federation for Information Processing (IFIP) 2010, AI Stream, Brisbane, September 2010, M. Bramer ed., IFIP-AICT 331, Springer, Berlin, 238-242
C-88 S. Montani, G. Leonardi, S. Ghignone, L. Lanfranco, Flexible genome retrieval for supporting in-silico studies of endobacteria-AMFs, World Computer Congress - International Federation for Information Processing (IFIP) 2010, Treat-IT Stream, Brisbane, September 2010, H. Takeda ed., IFIP-AICT 335, Springer, Berlin, 138-147
C-87 S. Montani, G. Leonardi, A Case-based Approach to Business Process Monitoring, World Computer Congress - International Federation for Information Processing (IFIP) 2010, AI Stream, Brisbane, September 2010, M. Bramer ed., IFIP-AICT 331, Springer, Berlin, 101-110
C-86 A. Bottrighi, M. Torchio, S. Montani, G. Molino, P. Terenziani, Supporting human interaction and human resources coordination in distributed clinical guidelines, Proc. Medinfo (World Congress for Health Informatics) 2010, Cape Town, September 2010, C. Safran et al. eds., IOS Press, Amsterdam, 319-323
C-85 P. Terenziani, M. Torchio, S. Femiano, A. Bottrighi, G. Molino, S. Montani, Towards an integration of workflows and clinical guidelines: a case study, Proc. Medinfo (World Congress for Health Informatics) 2010, Cape Town, September 2010, C. Safran et al. eds., IOS Press, Amsterdam
C-84 A. Bottrighi, G. Leonardi, S. Montani, L. Portinale, P. Terenziani, Intelligent data interpretation and case base exploration through Temporal Abstractions, Proc. International Conference on Case-Based Reasoning (ICCBR) 2010, LNCS 6176, I. Bichindaritz, S. Montani eds., Springer, Berlin, 36-50
C-83 A. Bottrighi, G. Leonardi, S. Montani, L. Portinale, Extending the JColibri open source architecture for managing high-dimensional data and large case bases, Proc. IEEE International Conference on Tools with Artificial Intelligent (ICTAI) 2009, Newark, November 2009, IEEE Computer Society, Los Alamitos
C-82 A. Bottrighi, F.Chesani, P. Mello, M. Montali, S. Montani, S. Storari, P. Terenziani, Analysis of the GLARE and GPROVE approaches to Clinical Guidelines, Proc. KR4HC-workshop, European Conference on Artificial Intelligence in Medicine (AIME) 2009, Verona, July 2009
C-81 S. Montani, A. Bottrighi, G. Leonardi, L. Portinale, P. Terenziani, Multi-level abstractions and multi-dimensional retrieval of cases with time series features, Proc. International Conference on Case-Based Reasoning (ICCBR) 2009, Seattle, July 2009, Lecture Notes in Artificial Intelligence 5650, L. McGinty and D. Wilson eds., Springer, Berlin, 225-239
C-80 M. Beccuti, A. Bottrighi, G. Franceschinis, S. Montani, P. Terenziani, Modeling clinical guidelines through Petri Nets, Proc. European Conference on Artificial Intelligence in Medicine (AIME) 2009, Verona, July 2009, Lecture Notes in Artificial Intelligence 5651, C. Combi, Y. Shahar and A. Abu-Hanna eds., Springer, Berlin, 61-70
C-79 A. Bottrighi, F. Chesani, P. Mello, G. Molino, M. Montali, S. Montani, S. Storari, P. Terenziani, and M. Torchio, A hybrid approach to clinical guideline and to basic medical knowledge conformance, Proc. European Conference on Artificial Intelligence in Medicine (AIME) 2009, Verona, July 2009, Lecture Notes in Artificial Intelligence 5651, C. Combi, Y. Shahar and A. Abu-Hanna eds., Springer, Berlin
C-78 A. Bobbio, D. Codetta-Raiteri, S. Montani, L. Portinale, Modeling cascading failure Propagation via dynamic Bayesian networks, Dependable Control of Discrete Systems (DCDS) 2009, Bari, June 2009, International Federation of Automatic Control (IFAC) On-line Publishing (ISSN: 1474-6670)
C-77 L. Portinale, S. Montani, A fuzzy logic approach to case matching and retrieval suitable to SQL implementation, Proc. IEEE International Conference on Tools with Artificial Intelligent (ICTAI) 2008, Dayton, November 2008, IEEE Computer Society, Los Alamitos
C-76 S. Montani, How to use contextual knowledge in medical CBR systems: a survey on very recent trends, Proc. Case-Based Reasoning in the Health Sciences Workshop, European Conference on Case Based Reasoning (ECCBR), Trier, September 2008
C-75 G. Leonardi, A. Bottrighi, S. Montani and L. Portinale, Semi-automatic configuration of temporal abstractions of time series data using CBR, Proc. Case Based Reasoning for Multimedia Data Workshop, Industrial Conference on Data Mining 2008, Leipzig, July 2008
C-74 S. Montani, Case-based Reasoning for managing non-compliance with clinical guidelines, Proc. Case-Based Reasoning in the Health Sciences Workshop, International Conference on Case Based Reasoning (ICCBR), Belfast, August 2007
C-73G. Leonardi, A. Bottrighi, S. Montani and L. Portinale, CBR for temporal abstractions configuration in haemodyalisis, Proc. Case-Based Reasoning in the Health Sciences Workshop, International Conference on Case Based Reasoning (ICCBR), Belfast, August 2007
C-72 L. Portinale, A. Bobbio, D. Codetta-Raiteri, S. Montani, Compiling Dynamic Fault Trees into Dynamic Bayesian Networks: the RADYBAN Tool, Proc. UAI Bayesian Modeling Application Workshop, Vancouver, August 2007
C-71 P. Terenziani, L. Anselma, A. Bottrighi, L. Giordano, S. Montani, Automatic checking of the correctness of clinical guidelines in GLARE, Proc. Medinfo (World Congress for Health Informatics) 2007, Brisbane, August 2007, K.A. Kuhn, J.R. Warren and T.-Y. Leong eds., IOS Press, Amsterdam, 807-811
C-70 G. Molino, P. Terenziani, L. Anselma, A. Bottrighi, M. Torchio, S. Montani, Advantages of computer-based approaches to clinical guidelines: the case of the GLARE approach , Proc. Medinfo (World Congress for Health Informatics) 2007, Brisbane, August 2007, K.A. Kuhn, J.R. Warren and T.-Y. Leong eds., IOS Press, Amsterdam
C-69 S. Montani, P. Terenziani, A. Bottrighi, Supporting therapy selection in computerized clinical guidelines by means of Decision Theory, Proc. Medinfo (World Congress for Health Informatics) 2007, Brisbane, August 2007, K.A. Kuhn, J.R. Warren and T.-Y. Leong eds., IOS Press, Amsterdam, 855-859
C-68 L. Giordano, A. Bottrighi, S. Montani, P. Terenziani, Applying AI model-checking techniques to clinical guidelines, Proc. Medinfo (World Congress for Health Informatics) 2007, Brisbane, August 2007, K.A. Kuhn, J.R. Warren and T.-Y. Leong eds., IOS Press, Amsterdam
C-67 L. Anselma, P. Terenziani, S. Montani, A. Bottrighi, Automatic treatment of temporal issues in clinical guidelines in the GLARE system, Proc. Medinfo (World Congress for Health Informatics) 2007, Brisbane, August 2007, K.A. Kuhn, J.R. Warren and T.-Y. Leong eds., IOS Press, Amsterdam, 935-940
C-66 A Bottrighi, L Anselma, S Montani, P Terenziani, G Molino, M Torchio, Supporting cooperative updates of clinical guidelines, Proc. Medinfo (World Congress for Health Informatics) 2007, Brisbane, August 2007, K.A. Kuhn, J.R. Warren and T.-Y. Leong eds., IOS Press, Amsterdam
C-65 L. Anselma, P. Terenziani, S. Montani, A. Bottrighi, Applying AI temporal reasoning techniques to clinical guidelines, Workshop on Spatial and Temporal Reasoning, International Joint Conference on Artificial Intelligence (IJCAI) 2007, Hyderabad, January 2007
C-64 L. Portinale, S. Montani, A. Bottrighi, G. Leonardi, J. Juarez, A case-based architecture for temporal abstraction configuration and processing, IEEE International Conference on Tools with Artificial Intelligent (ICTAI) 2006, Washington, November 2006, IEEE Computer Society, Los Alamitos, 667-674
C-63 P. Terenziani, L.Anselma, A.Bottrighi, S. Montani, Advanced treatment of temporal phenomena in clinical guidelines, Proc. American Medical Informatics Association Symposium 2006
C-62 P. Terenziani, S. Montani, A.Bottrighi, M. Torchio, G. Molino, GLARE: a domain-independent system for acquiring, representing and executing clinical guidelines, Proc. American Medical Informatics Association Symposium 2006
C-61 P. Terenziani, S. Montani, A.Bottrighi, M. Torchio, G. Molino, Clinical guidelines contextualization in GLARE, Proc. American Medical Informatics Association Symposium 2006
C-60 L. Giordano, P. Terenziani, A. Bottrighi, S. Montani, L. Donzella, Model checking for clinical guidelines: an agent-based approach, Proc. American Medical Informatics Association Symposium 2006
C-59 S. Montani, On the possible roles of Case-Based Reasoning in medical decision support, Proc. Case-Based Reasoning in the Health Sciences Workshop, European Conference on Case Based Reasoning (ECCBR), Oludeniz/Fethyie, September 2006
C-58 S. Montani, C. Anglano, Case-based reasoning for autonomous service failure diagnosis and remediation in software systems, Proc. European Conference on Case Based Reasoning (ECCBR) 2006, Oludeniz/Fethyie, September 2006, in: Lecture Notes in Artificial Intelligence 4106, T. R. Roth-Berghofer et al. eds., Springer-Verlag, Berlin, 489-503
C-57 P. Terenziani, L. Giordano, A.
Bottrighi, S. Montani, L. Donzella, SPIN model checking for the
verifcation of clinical
guidelines,Workshop on AI techniques in
healthcare: evidence-baded guidelines and protocols, ECAI 2006, Riva
del Garda, August 2006
C-56 P. Terenziani , S. Montani , A.
Bottrighi, G. Molino, M. Torchio, Applying artificial
intelligence to clinical guidelines: the
GLARE approach,
Workshop on AI techniques in healthcare: evidence-baded guidelines
and protocols, ECAI 2006, Riva del Garda, August 2006
C-55 S. Montani, L. Portinale, A. Bobbio, D. Codetta-Raiteri, Automatically translating dynamic fault trees into dynamic bayesian networks by means of a software tool, Proc. International Conference on Availability, Reliability and Security (ARES) 2006, Wien, April 2006, IEEE Computer Society, Los Alamitos, 804-809
C-54 S. Montani, L. Portinale, A. Bobbio, M. Varesio, D. Codetta-Raiteri, A tool for automatically translating dynamic fault trees into dynamic bayesian networks, Reliability and Maintainability Symposium (RAMS) 2006, Newport Beach, January 2006, IEEE, Piscataway, 434-441
C-53 C. Anglano, S. Montani, Achieving self-healing in autonomic software systems: a case-based reasoning approach, International Conference on Self-Organization and Adaptation of Multi-agent and Grid Systems (SOAS) 2005, Glasgow, December 2005, in: Self-organization and autonomic informatics (I), H. Czap, R. Unland, C. Branki, H. Tianfield eds., IOS Press, Amsterdam, 267-281
C-52 L. Giordano, A. Martelli, P. Terenziani, A. Bottrighi, S. Montani, A temporal approach to the specification and verification of Interaction Protocols. In Proceedings of WOA 2005, F. Corradini, F. De Paoli, E. Merelli e A. Omicini eds. Pitagora Editrice Bologna
C-51 P.Terenziani, L. Anselma, S. Montani, Periodicity-based temporal constraints, Proc. Congresso Nazionale dell'Associazione Italiana per l'Intelligenza Artificiale (AI*IA) 2005, Milano, September 2005, in: Lecture Notes in Artificial Intelligence 3673, S. Bandini, S. Manzoni eds., Springer-Verlag, Berlin, 62-65
C-50 P. Terenziani, S. Montani, A. Bottrighi, M. Torchio, G. Molino, G. Correndo, Managing clinical guidelines contextualization in the GLARE system, Proc. Congresso Nazionale dell'Associazione Italiana per l'Intelligenza Artificiale (AI*IA) 2005, Milano, September 2005, in: Lecture Notes in Artificial Intelligence 3673, S. Bandini, S. Manzoni eds., Springer-Verlag, Berlin, 454-465
C-49 S. Montani, L. Portinale, Case based representation and retrieval with time dependent features, Proc. International Conference on Case Based Reasoning (ICCBR) 2005, Chicago, August 2005, in: Lecture Notes in Artificial Intelligence 3620, H. Munoz-Avila, F. Ricci eds., Springer-Verlag, Berlin, 353-367
C-48 L. Anselma, P.Terenziani, S. Montani, Periodicity-based temporal reasoning, IJCAI 2005 Workshop on Spatial and Temporal Reasoning, Edinburgh, July 2005
C-47 P. Terenziani, S. Montani, A. Bottrighi, G. Molino, M. Torchio, Clinical guidelines adaptation: managing authoring and versioning issues, Proc. European Conference on Artificial Intelligence in Medicine (AIME) 2005, Aberdeen, July 2005, in: Lecture Notes in Artificial Intelligence 3581, S. Miksch, J. Hunter, E. Keravnou eds., Springer-Verlag, Berlin, 151-155
C-46 S. Montani, P. Terenziani, A. Bottrighi, Exploiting decision theory for supporting therapy selection in computerized clinical guidelines, Proc. European Conference on Artificial Intelligence in Medicine (AIME) 2005, Aberdeen, July 2005, in: Lecture Notes in Artificial Intelligence 3581, S. Miksch, J. Hunter, E. Keravnou eds., Springer-Verlag, Berlin, 135-140
C-45 S. Montani, L. Portinale, A. Bobbio, Dynamic bayesian networks for modeling advanced fault tree features in dependability analysis, Proc. European Safety and Reliability Conference (ESREL) 2005, Tri City, June 2005, K. Kolowrocki ed., Balkema Publishers, Leiden, 1415-1422
C-44 P. Terenziani, S. Montani, A. Bottrighi, M. Torchio, G. Molino, G. Correndo, A context-adaptable approach to clinical guidelines, Proc. Medinfo (World Congress for Health Informatics) 2004, San Francisco, September 2004, M. Fieschi et al. eds., IOS Press, Amsterdam, 169-173
C-43 S. Montani, L. Portinale, R. Bellazzi, G. Leonardi, RHENE: A case retrieval system for hemodialysis cases with dynamically monitored parameters, Proc. European Conference on Case Based Reasoning (ECCBR) 2004, Madrid, August 2004, in: Lecture Notes in Artificial Intelligence 3155, P. Funk, P.A. Gonzales Calero eds., Springer-Verlag, Berlin, 659-672
C-42 S. Montani, P. Terenziani, Mapping clinical guidelines representation primitives to decision theory concepts, Proc. European Conference on Artificial Intelligence (ECAI) 2004, Valencia, August 2004, R. Lopez de Mantaras, L. Saitta eds., IOS Press, Amsterdam, 1063-1064
C-41 S. Montani, P. Terenziani, Decision theory issues for supporting therapy selection in computerized guidelines, Proc. Information Processing and Managing of Uncertainty in Kowledge-based Systems (IPMU) 2004, Perugia, July 2004, , B. Bouchon-Meunier, G. Coletti, R.R. Yager eds., Casa Editrice Universita' la Sapienza, Roma, 591-598
C-40 L. Portinale, A. Bobbio, S. Montani, From AI to dependability: using bayesian networks for reliability modeling and analysis, Invited Talk, Proc. Mathematical Methods in Reliability (MMR) 2004, Santa Fe, June 2004
C-39 P. Terenziani, S. Montani, A. Bottrighi, M. Torchio, G. Molino, G. Correndo, The GLARE approach to Clinical Guidelines: main features, Symposium on Computerized Guidelines and Protocols (CGP) 2004, Prague, April 2004, in: Studies in Health Technology and Informatics, 101 (2004) 162-166, K. Kaiser, S. Miksch, S.W. Tu, eds., IOS Press, Amsterdam
C-38 P. Terenziani, S. Montani, M. Torchio, G. Molino, L. Anselma, Temporal consistency checking in clinical guidelines acquisition and execution: the GLARE's approach, Proc. American Medical Informatics Association Symposium 2003, 659-663
C-37 P. Terenziani, S. Montani, A. Bottrighi, M. Torchio, G. Molino, L. Anselma, G. Correndo, Applying artificial intelligence to clinical guidelines: the GLARE approach, Congresso Nazionale AI*IA 2003, Pisa, September 2003, in: Lecture Notes in Artificial Intelligence 2829, A. Cappelli, F. Turini eds., Springer-Verlag, Berlin, 536-547
C-36 A. Bobbio, S. Montani, L. Portinale, Parametric dependability analysis through probabilistic horn abduction, UAI 2003, Acapulco, August 2003, Morgan Kaufmann, San Francisco, 65-72
C-35 S. Montani, L. Portinale, G. Leonardi, R. Bellazzi, Applying case-based retrieval to hemodialysis treatment, Case-Based Reasoning in the Health Sciences Workshop, ICCBR2003, Trondheim, June 2003
C-34 P. Terenziani, S. Montani, A. Bottrighi, M. Torchio, G. Molino, Supporting physicians in taking decisions in clinical guidelines: the GLARE "what-if" facility, JAMIA Symposium supplement 2002, 772-776
C-33 L. Portinale, S. Montani, A fuzzy case retrieval approach based on SQL for implementing electronic catalogs, ECCBR 2002, Aberdeen, September 2002, in: Lecture Notes in Artificial Intelligence 2416, S. Craw, A. Preece eds., Springer-Verlag, Berlin, 321-335
C-32 P. Terenziani, C. Carlini, S. Montani, Towards a comprehensive treatment of temporal constraints in clinical guidelines, Time 2002, Manchester, July 2002, IEEE Computer Society Press, Los Alamitos, 20-27
C-31 P. Terenziani, S. Montani, M. Torchio, G. Molino, Exploiting advanced artificial intelligence techniques for managing clinical guidelines: the GLARE system, ESMDM 2002, Taormina, June 2002, 67
C-30 R. Bellazzi, S. Montani, M. Arcelloni, P. De Cata, C. Gazzaruso, R. Giacchero, P. Fratino, Supervised implementation of guidelines for diabetes management on the world wide web, JAMIA Symposium supplement 2001
C-29 S. Montani, R. Bellazzi, Intelligent knowledge retrieval for decision support in medical applications, Medinfo 2001, London, September 2001, 10(pt 1), Studies in Health Technology and Informatics, R. Rogers, R. Haux, V. Patel eds., IOS Press, Amsterdam, 498-502
C-28 S. Montani, P. Magni, A.V. Roudsari, E.R. Carson, R. Bellazzi, Integrating different methodologies for insulin therapy support in type 1 diabetic patients, 8th Conference on Artificial Intelligence in Medicine in Europe (AIME 2001), Cascais, July 2001, in: Lecture Notes in Artificial Intelligence 2101, S. Quaglini, P. Barahona, S. Andreassen eds., Springer-Verlag, Berlin, 121-130
C-27 S. Montani, R. Bellazzi, Exploiting multi-modal reasoning for knowledge management and decision support: an evaluation study, JAMIA Symposium supplement 2000, 585-589
C-26 S. Montani, R. Bellazzi, L. Portinale, Managing IDDM patients through a multi-modal reasoning methodology, Diabetes, Nutrition & Metabolism 13(4) (2000) 238
C-25 R. Bellazzi, E. Brugues, C. Cobelli, G. d'Annunzio, A. de Leiva, S. Del Prato, E. Gomez, E. Hernando, E. Kilkki, R. Lorini, A. Maran, S. Montani, G. Nucci, K. Nyholm, J. Pajunen, M. Stefanelli, J. Tuominen, T-IDDM: reports on the results of a EU funded project, Diabetes, Nutrition & Metabolism 13(4) (2000) 244
C-24 R. Bellazzi, E. Brugues, E. Carson, C. Cobelli, G. d'Annunzio, P. De Cata, A. de Leiva, S. Del Prato, T. Deutsch, P. Fratino, C. Gazzaruso, T. Gergely, R. Giacchero, E.J. Gomez, F. Harvey, C. Harras Friederich, E. Hernando, H. Ludekke, B. Liesenfeld, M. Luebker, A. Maran, S. Montani, G. Nucci, F. Ortiz Garcia, T. Rendschmidt, A. Roudsari, M. Stefanelli, Multi-Access Services for Diabetes Mellitus management: the M2DM project, Diabetes, Nutrition & Metabolism 13(4) (2000) 249
C-23 R. Bellazzi, E. Brugues, E. Carson, C. Cobelli, G. d'Annunzio, P. De Cata, A. de Leiva, S. Del Prato, T. Deutsch, P. Fratino, C. Gazzaruso, T. Gergely, R. Giacchero, E.J. Gomez, F. Harvey, C. Harras Friederich, E. Hernando, H. Ludekke, B. Liesenfeld, M. Luebker, A. Maran, S. Montani, G. Nucci, F. Ortiz Garcia, T. Rendschmidt, A. Roudsari, M. Stefanelli, Multi-Access Services for Diabetes Mellitus management: the M2DM project, International Symposium on Information Technology and Diabetes: Electronic Solutions in a Socio-Economic and Political Context, Rochester, September 2000, 60-61
C-22 R. Bellazzi, E. Brugues, C. Cobelli, G. d'Annunzio, A. de Leiva, S. Del Prato, E. Gomez, E. Hernando, E. Kilkki, R. Lorini, A. Maran, S. Montani, G. Nucci, K. Nyholm, J. Pajunen, M. Stefanelli, J. Tuominen, Reports on the results of the EU funded project T-IDDM, International Symposium on Information Technology and Diabetes: Electronic Solutions in a Socio-Economic and Political Context, Rochester, September 2000, 97-98
C-21 S. Pellegrini, C. Ambroso, R. Bellazzi, S. Montani, G. D'annunzio, Telematic Management of Insulin Dependent Diabetes Patients (T-IDDM): the economic side, International Symposium on Information Technology and Diabetes: Electronic Solutions in a Socio-Economic and Political Context, Rochester, September 2000, 70-72
C-20 S. Montani, R. Bellazzi, L. Portinale, M. Stefanelli, Evaluating a multi modal reasoning system in diabetes care, EWCBR2K, Trento, September 2000, in: Lecture Notes in Artificial Intelligence 1898, E. Blanzieri, L. Portinale eds., Springer-Verlag, Berlin, 467-478
C-19 S. Montani, R. Bellazzi, L. Portinale, Managing diabetic patients through a multi modal reasoning methodology, Workshop "Case-Based Reasoning: a new technique for medical knowledge-based applications", Medical Informatics Europe (MIE) Conference, Hannover, August 2000
C-18 S. Montani, R. Bellazzi, A. Riva, C. Larizza, L. Portinale, M. Stefanelli, Artificial intelligence techniques for diabetes management: the T-IDDM project, PAIS-ECAI 2000, Berlin, August 2000, W. Horn ed., IOS Press, Amsterdam, 716-720
C-17 S. Montani, R. Bellazzi, G. d'Annunzio, M. Stefanelli, Insulin therapy optimization in IDDM by combining heuristic rules and past cases experience, Chicago 2000 World Congress on Medical Physics and Biomedical Engineering, Chicago, July 2000
C-16 R. Bellazzi, S. Montani, C. Larizza, P. Magni, G. d'Annunzio, R. Lorini, M. Stefanelli, Evaluation of the T-IDDM project in Pavia, Chicago 2000 World Congress on Medical Physics and Biomedical Engineering, Chicago, July 2000
C-15 S. Montani, R. Bellazzi, Integrating case based and rule based reasoning in a decision support system: evaluation with simulated patients, JAMIA Symposium supplement 1999, 887-891
C-14 R. Bellazzi, C. Larizza, S. Montani, M. Stefanelli, Intra-patients learning by combining clustering and temporal abstractions, IDAMAP 99 working notes, Washington, 6 November 1999, 13-19
C-13 R. Bellazzi, A. Riva, S. Montani, C. Larizza, M. Bestazza, S. Fiocchi, G. d'Annunzio, R. Lorini, M. Stefanelli, Application report: preliminary evaluation of the T-IDDM project in Pavia, MIE'99 Conference, Ljubljana, August 1999, 99-101
C-12 S. Montani, R. Bellazzi, L. Portinale, S. Fiocchi, G, d'Annunzio, M. Stefanelli, Supporting decisions in diabetic patients management through case-based retrieval, MIE'99 Conference, Ljubljana, August 1999, 645-649
C-11 R. Bellazzi, S. Montani, L. Portinale, A. Riva, Integrating rule-based and case-based decision making in diabetic patient management, ICCBR-99, Monastery Seeon, Munich, Germany, July 1999, in: Lecture Notes in Artificial Intelligence 1650, K.D. Althoff, R. Bergmann, L.K. Branting eds., Springer-Verlag, Berlin, 386-400
C-10 R. Bellazzi, C. Larizza, P. Magni, S. Montani and G. De Nicolao, Intelligent analysis of clinical time series by combining structural filtering and temporal abstractions, AIMDM '99, Aalborg, 20-24 June 1999, in: Lecture Notes in Artificial Intelligence 1620, W. Horn, Y. Shahar, G. Lindberg, S. Andreassen, J. Wyatt eds.,Springer-Verlag, Berlin, 261-270
C-9 S. Montani, R. Bellazzi, L. Portinale, A. Riva, M. Stefanelli, Multi-modal reasoning in diabetic patient management, AIMDM '99, Aalborg, 20-24 June 1999, in: Lecture Notes in Artificial Intelligence 1620, W. Horn, Y. Shahar, G. Lindberg, S. Andreassen, J. Wyatt eds.,Springer-Verlag, Berlin, 113-123
C-8 R. Bellazzi, A. Riva, S. Montani, C. Larizza, S. Fiocchi, G. d'Annunzio, R. Lorini, M. Stefanelli, Web-based telemedicine systems: designing the technical and organisational infrastructure, Hospital without walls, London, March 1999, 82-83
C-7 S. Montani, R. Bellazzi, A. Riva, L. Portinale, M. Stefanelli, Integrating different decision support tools in a distributed environment for diabetes management, Hospital Without Walls conference, London, March 1999, 89-90
C-6 R. Bellazzi, A. Riva, S. Montani, C. Larizza, S. Fiocchi, G. d'Annunzio, R. Lorini, A. Monteforte and M. Stefanelli, A web-based system for diabetes management: technical and clinical infastructure, JAMIA Symposium supplement 1998, 972
C-5 R. Bellazzi, S. Montani, L. Portinale, Retrieval in a prototype-based case library: a case study in diabetes therapy revision, 4th European Workshop on Case-Based Reasoning, Dublin, Ireland, September 1998, in: Lecture Notes in Artificial Intelligence 1488, B. Smyth, P. Cunningham eds., Springer-Verlag, Berlin, 64-75
C-4 S. Montani, R. Bellazzi, L. Portinale, M. Stefanelli, A case-based reasoning system for diabetic patient therapy, Proceedings of the Third International Conference on Neural Networks and Expert Systems in Medicine and Healthcare, Pisa, E.C. Ifeachor, A. Sperduti, A. Starita eds., World Scientific, London, 1998, 160-168
C-3 R. Bellazzi, S. Montani, L. Portinale, S. Fiocchi and M. Stefanelli, A case-based decision support system for diabetic patients management, Diabetes, Nutrition & Metabolism 11 (1998) 65
C-2 S. Montani, R. Bellazzi, L. Portinale, S. Fiocchi, M. Stefanelli, A case-based retrieval system for diabetic patient therapy, IDAMAP 98 working notes, Brighton, August 1998, 64-70
C-1 A. Riva, R. Bellazzi, S. Montani, A knowledge-based web server as a development environment for web-based knowledge servers, Colloquium on Web-based knowledge servers, IEE society, London, June 1998