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Journal Articles
- 2023
[j3]Gianluigi Folino, Massimo Guarascio
, Francesco Chiaravalloti:
Learning ensembles of deep neural networks for extreme rainfall event detection. Neural Comput. Appl. 35(14): 10347-10360 (2023)- 2022
- [j2]Massimo Guarascio, Gianluigi Folino, Francesco Chiaravalloti, Salvatore Gabriele, Antonio Procopio, Pietro Sabatino:
A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - 2018
- [j1]Giuseppe Fedele, Luigi D'Alfonso, Francesco Chiaravalloti, Gaetano D'Aquila:
Obstacles Avoidance Based on Switching Potential Functions. J. Intell. Robotic Syst. 90(3-4): 387-405 (2018)
Conference and Workshop Papers
- 2019
- [c4]Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti, Salvatore Gabriele:
A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources. IJCNN 2019: 1-8 - [c3]Mario Maiolo, Joaquim Sousa, Manuela Carini, Francesco Chiaravalloti, Marco Amos Bonora, Gilda Capano, Daniela Pantusa:
Optimization Model for Water Distribution Network Planning in a Realistic Orographic Framework. NUMTA(1) 2019: 545-556 - 2017
- [c2]Giuseppe Fedele, Luigi D'Alfonso, Francesco Chiaravalloti, Gaetano D'Aquila:
Path Planning and Obstacles Avoidance using Switching Potential Functions. ICINCO (2) 2017: 343-350 - 2009
- [c1]Giuseppe Fedele, Francesco Chiaravalloti, Cédric Join:
An algebraic derivative-based approach for the zero-crossings estimation. EUSIPCO 2009: 2455-2459
Informal and Other Publications
- 2020
- [i1]Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti, Salvatore Gabriele:
Using Deep Learning and Data Integration for Accurate Rainfall Estimates. ERCIM News 2020(122) (2020)
Coauthor Index
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