Sfoglia per Autore
GENERATIVE NETWORKS FOR POINT CLOUD GENERATION IN CULTURAL HERITAGE DOMAIN
2021-01-01 Pierdicca, Roberto; Paolanti, Marina; Quattrini, Ramona; Martini, Massimo; Malinverni, Eva Savina; Frontoni, Emanuele
People counting on low cost embedded hardware during the sars-cov-2 pandemic
2021-01-01 Pazzaglia, G.; Mameli, M.; Rossi, L.; Paolanti, M.; Mancini, A.; Zingaretti, P.; Frontoni, E.
Measuring and evaluating visitors' behaviors inside museums: the Co. ME. project
2021-01-01 Angeloni, Renato; Pierdicca, Roberto; Paolanti, Marina; Mancini, Adriano; Tonelli, Andrea
Data-Driven Knowledge Discovery in Retail: Evidences from the Vending Machine’s Industry
2021-01-01 Marinelli, Luca; Paolanti, Marina; Nardi, Lorenzo; Gabellini, Patrizia; Frontoni, Emanuele; Gregori, Gian Luca
Tourism destination management using sentiment analysis and geo-location information: a deep learning approach
2021-01-01 Paolanti, M.; Mancini, A.; Frontoni, E.; Felicetti, A.; Marinelli, L.; Marcheggiani, E.; Pierdicca, R.
Human trajectory prediction and generation using LSTM models and GANs
2021-01-01 Rossi, Luca; Paolanti, Marina; Pierdicca, Roberto; Frontoni, Emanuele
Immersive Insights: Virtual Tour Analytics System for Understanding Visitor Behavior
2021-01-01 Pierdicca, R.; Sasso, M.; Tonetto, F.; Bonelli, F.; Felicetti, A.; Paolanti, M.
Vehicle trajectory prediction and generation using LSTM models and GANs
2021-01-01 Rossi, Luca; Andrea, Ajmar; Paolanti, Marina; Pierdicca, Roberto
MONstEr: A Deep Learning-Based System for the Automatic Generation of Gaming Assets
2022-01-01 Brocchini, M.; Mameli, M.; Balloni, E.; Sciucca, L. D.; Rossi, L.; Paolanti, M.; Frontoni, E.; Zingaretti, P.
GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data
2022-01-01 Pierdicca, R.; Paolanti, M.
Detection and Classification of Defects in Plastic Components Using a Deep Learning Approach
2022-01-01 Mameli, M.; Paolanti, M.; Mancini, A.; Frontoni, E.; Zingaretti, P.
SeSAME: Re-identification-based ambient intelligence system for museum environment
2022-01-01 Paolanti, M; Pierdicca, R; Pietrini, R; Martini, M; Frontoni, E
Deep Learning Approaches for Fashion Knowledge Extraction from Social Media: A Review
2022-01-01 Mameli, M.; Paolanti, M.; Pietrini, R.; Pazzaglia, G.; Frontoni, E.; Zingaretti, P.
Combining sell-out data with shopper behaviour data for category performance measurement: The role of category conversion power
2022-01-01 Pascucci, F.; Nardi, L.; Marinelli, L.; Paolanti, M.; Frontoni, E.; Gregori, G. L.
SIGNIFICANCE. STOP ILLICIT HERITAGE TRAFFICKING WITH ARTIFICIAL INTELLIGENCE
2022-01-01 Abate, D.; Paolanti, M.; Pierdicca, R.; Lampropoulos, A.; Toumbas, K.; Agapiou, A.; Vergis, S.; Malinverni, E.; Petrides, K.; Felicetti, A.; Zingaretti, P.
PergaNet: A Deep Learning Framework for Automatic Appearance-Based Analysis of Ancient Parchment Collections
2022-01-01 Paolanti, M.; Pietrini, R.; Della Sciucca, L.; Balloni, E.; Compagnoni, B. L.; Cesarini, A.; Fois, L.; Feliciati, P.; Frontoni, E.
A Deep Learning-Based System for Product Recognition in Intelligent Retail Environment
2022-01-01 Pietrini, R; Rossi, L; Mancini, A; Zingaretti, P; Frontoni, E; Paolanti, M
StyleTrendGAN: A Deep Learning Generative Framework for Fashion Bag Generation
2022-01-01 Della Sciucca, L.; Balloni, E.; Mameli, M.; Frontoni, E.; Zingaretti, P.; Paolanti, M.
FakeNED: A Deep Learning Based-System for Fake News Detection from Social Media
2022-01-01 Sciucca, L. D.; Mameli, M.; Balloni, E.; Rossi, L.; Frontoni, E.; Zingaretti, P.; Paolanti, M.
The Objective Way to Detect the Path to Purchase by Clustering Shoppers’ Trajectories
2023-01-01 Paolanti, Marina; Pierdicca, Roberto; Placidi, Valerio; Mancini, Adriano; Zingaretti, Primo; Frontoni, Emanuele
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| GENERATIVE NETWORKS FOR POINT CLOUD GENERATION IN CULTURAL HERITAGE DOMAIN | 1-gen-2021 | Pierdicca, Roberto; Paolanti, Marina; Quattrini, Ramona; Martini, Massimo; Malinverni, Eva Savina; Frontoni, Emanuele | |
| People counting on low cost embedded hardware during the sars-cov-2 pandemic | 1-gen-2021 | Pazzaglia, G.; Mameli, M.; Rossi, L.; Paolanti, M.; Mancini, A.; Zingaretti, P.; Frontoni, E. | |
| Measuring and evaluating visitors' behaviors inside museums: the Co. ME. project | 1-gen-2021 | Angeloni, Renato; Pierdicca, Roberto; Paolanti, Marina; Mancini, Adriano; Tonelli, Andrea | |
| Data-Driven Knowledge Discovery in Retail: Evidences from the Vending Machine’s Industry | 1-gen-2021 | Marinelli, Luca; Paolanti, Marina; Nardi, Lorenzo; Gabellini, Patrizia; Frontoni, Emanuele; Gregori, Gian Luca | |
| Tourism destination management using sentiment analysis and geo-location information: a deep learning approach | 1-gen-2021 | Paolanti, M.; Mancini, A.; Frontoni, E.; Felicetti, A.; Marinelli, L.; Marcheggiani, E.; Pierdicca, R. | |
| Human trajectory prediction and generation using LSTM models and GANs | 1-gen-2021 | Rossi, Luca; Paolanti, Marina; Pierdicca, Roberto; Frontoni, Emanuele | |
| Immersive Insights: Virtual Tour Analytics System for Understanding Visitor Behavior | 1-gen-2021 | Pierdicca, R.; Sasso, M.; Tonetto, F.; Bonelli, F.; Felicetti, A.; Paolanti, M. | |
| Vehicle trajectory prediction and generation using LSTM models and GANs | 1-gen-2021 | Rossi, Luca; Andrea, Ajmar; Paolanti, Marina; Pierdicca, Roberto | |
| MONstEr: A Deep Learning-Based System for the Automatic Generation of Gaming Assets | 1-gen-2022 | Brocchini, M.; Mameli, M.; Balloni, E.; Sciucca, L. D.; Rossi, L.; Paolanti, M.; Frontoni, E.; Zingaretti, P. | |
| GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data | 1-gen-2022 | Pierdicca, R.; Paolanti, M. | |
| Detection and Classification of Defects in Plastic Components Using a Deep Learning Approach | 1-gen-2022 | Mameli, M.; Paolanti, M.; Mancini, A.; Frontoni, E.; Zingaretti, P. | |
| SeSAME: Re-identification-based ambient intelligence system for museum environment | 1-gen-2022 | Paolanti, M; Pierdicca, R; Pietrini, R; Martini, M; Frontoni, E | |
| Deep Learning Approaches for Fashion Knowledge Extraction from Social Media: A Review | 1-gen-2022 | Mameli, M.; Paolanti, M.; Pietrini, R.; Pazzaglia, G.; Frontoni, E.; Zingaretti, P. | |
| Combining sell-out data with shopper behaviour data for category performance measurement: The role of category conversion power | 1-gen-2022 | Pascucci, F.; Nardi, L.; Marinelli, L.; Paolanti, M.; Frontoni, E.; Gregori, G. L. | |
| SIGNIFICANCE. STOP ILLICIT HERITAGE TRAFFICKING WITH ARTIFICIAL INTELLIGENCE | 1-gen-2022 | Abate, D.; Paolanti, M.; Pierdicca, R.; Lampropoulos, A.; Toumbas, K.; Agapiou, A.; Vergis, S.; Malinverni, E.; Petrides, K.; Felicetti, A.; Zingaretti, P. | |
| PergaNet: A Deep Learning Framework for Automatic Appearance-Based Analysis of Ancient Parchment Collections | 1-gen-2022 | Paolanti, M.; Pietrini, R.; Della Sciucca, L.; Balloni, E.; Compagnoni, B. L.; Cesarini, A.; Fois, L.; Feliciati, P.; Frontoni, E. | |
| A Deep Learning-Based System for Product Recognition in Intelligent Retail Environment | 1-gen-2022 | Pietrini, R; Rossi, L; Mancini, A; Zingaretti, P; Frontoni, E; Paolanti, M | |
| StyleTrendGAN: A Deep Learning Generative Framework for Fashion Bag Generation | 1-gen-2022 | Della Sciucca, L.; Balloni, E.; Mameli, M.; Frontoni, E.; Zingaretti, P.; Paolanti, M. | |
| FakeNED: A Deep Learning Based-System for Fake News Detection from Social Media | 1-gen-2022 | Sciucca, L. D.; Mameli, M.; Balloni, E.; Rossi, L.; Frontoni, E.; Zingaretti, P.; Paolanti, M. | |
| The Objective Way to Detect the Path to Purchase by Clustering Shoppers’ Trajectories | 1-gen-2023 | Paolanti, Marina; Pierdicca, Roberto; Placidi, Valerio; Mancini, Adriano; Zingaretti, Primo; Frontoni, Emanuele |
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