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Antonello Rizzi
Researcher at Sapienza University of Rome
Publications - 224
Citations - 3514
Antonello Rizzi is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Cluster analysis & Smart grid. The author has an hindex of 25, co-authored 206 publications receiving 2716 citations. Previous affiliations of Antonello Rizzi include Enel.
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Journal ArticleDOI
Cancer Diagnosis Using Deep Learning: A Bibliographic Review.
TL;DR: This bibliographic review is to provide researchers opting to work in implementing deep learning and artificial neural networks for cancer diagnosis a knowledge from scratch of the state-of-the-art achievements.
BookDOI
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
TL;DR: A comparative study on the problem of Short-Term Load Forecast, by using different classes of state-of-the-art Recurrent Neural Networks, with a general overview of the most important architectures and guidelines for configuring the recurrent networks to predict real-valued time series.
Journal ArticleDOI
The graph matching problem
Lorenzo Livi,Antonello Rizzi +1 more
TL;DR: This paper considers different classes of graphs that are roughly differentiated considering the complexity of the defined labels for both vertices and edges, aiming at explaining some significant instances of each graph matching methodology mainly considered in the technical literature.
Journal ArticleDOI
Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition
TL;DR: A genetic algorithm is employed for tuning the parameters of the ESN and its prediction accuracy is compared with a standard autoregressive integrated moving average model.
Journal ArticleDOI
Adaptive resolution min-max classifiers
TL;DR: Two new learning algorithms for fuzzy min-max neural classifiers are proposed: the adaptive resolution classifier (ARC) and its pruning version (PARC), which allow to achieve networks with a remarkable generalization capability.