Stefano Spinelli

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Matteo Matteucci

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Publications

2020
[j1]
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Alessandro Brusaferri, Matteo Matteucci, Stefano Spinelli, Andrea Vitali:
Learning behavioral models by recurrent neural networks with discrete latent representations with application to a flexible industrial conveyor. Comput. Ind. 122: 103263 (2020)
[c13]
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  - conf/codit/BrusaferriMRSV20
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Alessandro Brusaferri, Matteo Matteucci, Danial Ramin, Stefano Spinelli, Andrea Vitali:
Probabilistic day-ahead energy price forecast by a Mixture Density Recurrent Neural Network. CoDIT 2020: 523-528
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Alessandro Brusaferri, Matteo Matteucci, Stefano Spinelli, Andrea Vitali:
Extracting finite state representations from recurrent models of Industrial Cyber Physical Systems. CoDIT 2020: 539-544
[c11]
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Alessandro Brusaferri, Matteo Matteucci, Pietro Portolani, Stefano Spinelli, Andrea Vitali:
Hybrid system identification using a mixture of NARX experts with LASSO-based feature selection. CoDIT 2020: 545-550
[i3]
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  - journals/corr/abs-2009-13975
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Alessandro Brusaferri, Matteo Matteucci, Stefano Spinelli:
Identification of Probability weighted ARX models with arbitrary domains. CoRR abs/2009.13975 (2020)
[i2]
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  - journals/corr/abs-2009-14073
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Alessandro Brusaferri, Matteo Matteucci, Stefano Spinelli:
Estimation of Switched Markov Polynomial NARX models. CoRR abs/2009.14073 (2020)
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  - journals/corr/abs-2012-14389
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Alessandro Brusaferri, Matteo Matteucci, Stefano Spinelli, Andrea Vitali:
Probabilistic electric load forecasting through Bayesian Mixture Density Networks. CoRR abs/2012.14389 (2020)
2019
[c8]
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  - conf/indin/BrusaferriMPS19
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Alessandro Brusaferri, Matteo Matteucci, Pietro Portolani, Stefano Spinelli:
Nonlinear system identification using a recurrent network in a Bayesian framework. INDIN 2019: 319-324

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