R. Ceravolo
- : A domain adaptation methodology for enhancing the classification of structural condition states in continuously monitored historical domes. In: Computer-Aided Civil and Infrastructure Engineering.
- (2023): Building typological classification in Switzerland using deep learning methods for seismic assessment. In: Procedia Structural Integrity, v. 44 ( 2023).
- (2012): Non-linear characterisation of the physical model of an ancient masonry bridge. In: Journal of Physics: Conference Series, v. 382 (August 2012).
- (2012): Vibration tests on dismounted bridge beams and effects of deterioration. In: Journal of Physics: Conference Series, v. 382 (August 2012).
- (2020): Condition Assessment, Monitoring and Preservation of Some Iconic Concrete Structures of the 20th Century. Presented at: IABSE Symposium: Synergy of Culture and Civil Engineering – History and Challenges, Wrocław, Poland, 7-9 October 2020.
- (2020): Dynamic Investigations on the Health State and Seismic Vulnerability of Morandi’s Pavilion V of Turin Exhibition Center. Presented at: IABSE Symposium: Synergy of Culture and Civil Engineering – History and Challenges, Wrocław, Poland, 7-9 October 2020.
- (1995): Hierarchical use of neural techniques in structural damage recognition. In: Smart Materials and Structures, v. 4, n. 4 (December 1995).
- (2016): Thermomechanical model updating of the world's largest oval dome. Presented at: Structural Analysis of Historical Constructions (SAHC) 2016, Leuven, Belgium, 13-15 September 2016.
- (2016): Optimal sensor placement for modern heritage spatial structures. Presented at: Structural Analysis of Historical Constructions (SAHC) 2016, Leuven, Belgium, 13-15 September 2016.
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