Publications are listed in reverse chronological order.
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C. Altomare, R. Guglielmann, M. Riboldi, R. Bellazzi, G. Baroni: An augmented lagrangian pattern search-based approach for optimal marker placement in hadrontherapy. Journal if Biomedical Informatics, vol. 54, 2015, 65-72, doi: 10.1016/j.jbi.2014.09.001.
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R. Guglielmann, L. Ironi: A Divide-and-Conquer strategy for qualitative simulation and fuzzy identification of complex dynamical systems. INTERNATIONAL JOURNAL of Uncertainty, Fuzziness and Knowledge Based Systems, vol. 19, 2011, 423-452, ISSN: 0218-4885, Doi: 10.1142/S0218488511007076.
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A. Vercesi, S. L. Toffolatti, G. Zocchi, R. Guglielmann, L. Ironi: A new approach to modelling the dynamics of oospore germination in Plasmopara viticola, European Journal of Plant Pathology, 128(1), 2010, 113-126.
Doi: 10.1007/s10658-010-9635-8
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R. Guglielmann, L. Ironi: Qualitative-fuzzy system identification of complex dynamical systems, in Proc. of the IEEE International Conference on Fuzzy Systems, London (UK), July 23-26, 2007, 716-721.
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R. Guglielmann, L. Ironi: Generating fuzzy models from deep knowledge: robustness and interpretability issues, Lecture Notes in Artificial Intelligence, 3571 , (2005), 600-612.
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R. Guglielmann, L. Ironi: The need for qualitative reasoning in fuzzy modeling: robustness and interpretability issues, in Proc. of 18th
International Workshop on Qualitative Reasoning, Evanston USA, August 4-6, 2004, 113-120.
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R. Bellazzi, R. Guglielmann, L. Ironi: Qualitative models and fuzzy systems: an integrated approach to system identification, in: A. Bonarini,
F. Masulli, G. Pasi (eds.), Advances in Soft Computing, Physica-Verlag, Berlin, (2003), 83-94.
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R. Guglielmann, L.Ironi: Strategies for improving neuro-fuzzy identification of nonlinear dynamical systems, Proc. FSKD'02, Singapore 18-22 November 2002,
Vol 1, 59-63.
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R. Guglielmann, L.Ironi, D. Liberati, A. Vercesi: A fuzzy-neural model of the germination of Plasmopara Viticola oospores ,
Notiziario sulla protezione delle piante, 15, (2002), 309-314.
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R. Guglielmann: Una metodologia per l'identificazione di sistemi
dinamici non lineari, Bollettino U.M.I, Serie VIII, vol. IV-A
(Supplemento Tesi di Dottorato), (2001), 467-470.
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R. Bellazzi, R. Guglielmann, L. Ironi, C. Patrini: A hybrid input-output approach to model metabolic systems: an
application to intracellular thiamine kinetics, Journal of Biomedical Informatics, 34, (2001), 221-248.
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R. Bellazzi, R. Guglielmann, L. Ironi: Learning from biomedical time series through the integration of qualitative models
and fuzzy systems, Artificial Intelligence in Medicine, 21, (2001), 215-220.
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R. Bellazzi, R. Guglielmann, L. Ironi: Using QR to solve quantitative modeling problems: an application to intracellular
thiamine kinetics, in: J. F. Flores (eds.), Proceedings of XIV International Workshop on Qualitative Reasoning, Morelia (Messico), June 5-7
2000, 9-17.
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R. Bellazzi, R. Guglielmann, L. Ironi: How to improve Fuzzy-Neural system modeling by means of qualitative simulation,
IEEE Transactions on Neural Networks, vol. 11, no. 1, (2000), 249-253.
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R. Bellazzi, R. Guglielmann, L. Ironi: A qualitative-fuzzy
framework for nonlinear black-box system identification, in
Proceedings of the 16th International Joint Conference on Artificial Intelligence (IJCAI-99), T. Dean Ed., Morgan Kaufmann,
San Francisco, (1999), 1041--1046. (A modified version has been
published in the Proceedings of the 12th International Workshop on
Qualitative Reasoning, F. Zhao, K. Yip (eds.), AAAI TR WS-98-01, AAAI Press, 1998, 10-20).
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R. Bellazzi, L. Ironi, R. Guglielmann, M. Stefanelli: Forecasting patient's behavior: a qualitative--fuzzy approach,
in: P. Borne, M. Ksouri, A. El Kamel (eds.), Proc. CESA98, IMACS-IEEE Multiconference, 4, (1998), 410-415.
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R. Bellazzi, L. Ironi, R. Guglielmann, M. Stefanelli: Qualitative models and fuzzy systems: an integrated approach for learning
from data, Artificial Intelligence in Medicine, 14, (1998), 5-28.
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R. Bellazzi, L. Ironi, R. Guglielmann,
M. Stefanelli: Learning from data through the integration of
qualitative models and fuzzy systems, in: E. Keravnou, C. Garbay,
R. Baud, J. Wyatt (eds.),
Lecture Notes in Artificial Intelligence, 1211, Springer, (1997), 501-512.