Alireza Sadeghian, Ph.D.

Affiliations: 
2002 University of Toronto, Toronto, ON, Canada 
Area:
Electronics and Electrical Engineering
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Parents

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J D. Lavers grad student 2002 University of Toronto
 (Adaptive neuro-fuzzy modeling of electric arc furnaces.)
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Publications

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Santis ED, Rizzi A, Sadeghian A. (2017) A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids Swarm and Evolutionary Computation. 39: 267-278
Maiorino E, Rizzi A, Sadeghian A, et al. (2017) Spectral reconstruction of protein contact networks Physica a-Statistical Mechanics and Its Applications. 471: 804-817
Maiorino E, Bianchi FM, Livi L, et al. (2017) Data-driven detrending of nonstationary fractal time series with echo state networks Information Sciences. 382: 359-373
Santis ED, Rizzi A, Sadeghian A. (2017) Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids Applied Soft Computing. 60: 135-149
Livi L, Maiorino E, Giuliani A, et al. (2016) A generative model for protein contact networks. Journal of Biomolecular Structure & Dynamics. 1-14
Livi L, Tahayori H, Rizzi A, et al. (2016) Classification of type-2 fuzzy sets represented as sequences of vertical slices Ieee Transactions On Fuzzy Systems. 24: 1022-1034
Bianchi FM, Rizzi A, Sadeghian A, et al. (2016) Identifying user habits through data mining on call data records Engineering Applications of Artificial Intelligence. 54: 49-61
Bianchi FM, Scardapane S, Rizzi A, et al. (2016) Granular Computing Techniques for Classification and Semantic Characterization of Structured Data Cognitive Computation. 8: 442-461
Bianchi FM, Scardapane S, Uncini A, et al. (2015) Prediction of telephone calls load using Echo State Network with exogenous variables. Neural Networks : the Official Journal of the International Neural Network Society. 71: 204-13
Livi L, Sadeghian A, Pedrycz W. (2015) Entropic One-Class Classifiers. Ieee Transactions On Neural Networks and Learning Systems. 26: 3187-200
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