SECCARONI, MARCO

SECCARONI, MARCO  

DIPARTIMENTO DI ARCHITETTURA, INGEGNERIA DELLE COSTRUZIONI E AMBIENTE COSTRUITO  

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Titolo Data di pubblicazione Autori File
AI-Driven Detection of Unauthorized Buildings to Protect Hamlet Heritage in Fragile Territories in Italy 1-gen-2025 Seccaroni, MarcoD'Uva, Domenico
Cycling Mobility as a Means of Improving Access to Education 1-gen-2024 Marco SeccaroniBruna VendemmiaDomenico D'Uva
Generative AI: Representational, Ethical, and Environmental Implications 1-gen-2025 Seccaroni MarcoD'Uva Domenico
IA e Rappresentazione, dalla Modellazione al Prompt: Esperienze didattiche comparate al Politecnico di Milano 1-gen-2026 G. BurattiD. d'UvaM. Seccaroni
Integrating AI and GIS in urban landscape analysis and representation for enhanced community well-being 1-gen-2024 M. Seccaroni
Laboratorio Lizori. Sperimentazioni e ricerche per la valorizzazione dei borghi storici 1-gen-2024 Seccaroni, Marco +
MACHINE LEARNING AND LANDSCAPE QUALITY. REPRESENTING VISUAL INFORMATION USING DEEP LEARNING-BASED IMAGE SEGMENTATION FROM STREET VIEW PHOTOS 1-gen-2023 Marco SeccaroniAndrea RolandoDomenico D’Uva +
The Computational Evolution of Bikeability Assessment: from Static Gis Indices to GeoAI and Urban Digital Twins. A Scoping Review 1-gen-2026 D'Uva, DomenicoSeccaroni, Marco
Unsupervised mapping of urban tree diversity using spatially-aware visual clustering 1-gen-2025 Seccaroni M.Mazzarello M.Ratti C. +
Unsupervised mapping of urban tree diversity using spatially-aware visual clustering 1-gen-2026 Seccaroni, MarcoMazzarello, MartinaRatti, Carlo +
Urban walkability assessment through shared images: a “value for people” approach to the public space 1-gen-2026 d'uva domenicoseccaroni marco
Èkphrasis and Post-Truth: Ethics and Creativity in the Era of Generative AI 1-gen-2025 d'uva domenicoseccaroni marco