BORROTTI Matteo

Position Adjunct Professor
Telephone 041 234 7594
E-mail matteo.borrotti@unive.it
Fax 041 234 7589
Website www.unive.it/persone/matteo.borrotti (personal record)
Office Department of Economics
Sito web struttura: http://www.unive.it/dep.economics
Where: San Giobbe

Publications by typology

Articolo su rivista
  • Borrotti, Matteo; Minervini, G.; DE LUCREZIA, Davide; Poli, Irene (2016), Naïve Bayes ant colony optimization for designing high dimensional experiments in APPLIED SOFT COMPUTING, vol. 49, pp. 259-268 (ISSN 1568-4946)
    Link DOIURL correlato Link al documento: 10278/3678587
  • Coccon, Francesca; Zucchetta, Matteo; Bossi, Giulia; Borrotti, Matteo; Torricelli, Patrizia; Franzoi, Piero (2015), A Land-Use Perspective for Birdstrike Risk Assessment: The Attraction Risk Index in PLOS ONE, Public Library of Science, vol. 10, pp. e0128363-16 (ISSN 1932-6203)
    Link DOIURL correlato Link al documento: 10278/3662530
  • M. Borrotti; D. De March; D. Slanzi; I. Poli (2014), Designing lead optimisation of MMP-12 Inhibitors in COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, vol. 2014, pp. 1-8 (ISSN 1748-670X)
    Link DOI Link al documento: 10278/39160
  • Ferrari, Davide; Borrotti, Matteo; DE MARCH, Davide (2014), Response improvement in complex experiments by co-information composite likelihood optimization in STATISTICS AND COMPUTING, vol. 24, pp. 351-363 (ISSN 0960-3174)
    Link DOIURL correlato Link al documento: 10278/40845
  • G. Zemella;D. De March;M. Borrotti;I. Poli (2011), Optimised design of energy efficient building façades via Evolutionary Neural Networks in ENERGY AND BUILDINGS, vol. 43, pp. 3297-3302 (ISSN 0378-7788)
    Link DOIURL correlato Link al documento: 10278/28063
Articolo su libro
  • De March, D.; Borrotti, M.; Sartore, L.; Slanzi, D.; Podesta, L.; Poli, I. (2015), A predictive approach based on neural network models for building automation systems , Advances in Neural Networks: Computational and Theoretical Issues, Springer Science and Business Media Deutschland GmbH, vol. 37, pp. 253-262 (ISBN 978-3-319-18163-9; 978-3-319-18164-6; 978-3-319-18163-9; 978-3-319-18164-6) (ISSN 2190-3018)
    Link DOIURL correlato Link al documento: 10278/3660248
Abstract in Atti di convegno
  • M. Borrotti; L. Sartore; D. Slanzi (2014), Intelligent control system model-based optimisation for energy saving , Proceeding of ERCIM 2014, Convegno: ERCIM2014, 07-09 December 2014 (ISBN 9788493782245)
    Link al documento: 10278/43529