Valentino Servizi
Biographic Data
| ID | 9966040 |
|---|---|
| NAME | Valentino Servizi |
| GIVEN NAMES | Valentino |
| FAMILY NAME | Servizi |
| SIGNATURE | SERVIZI V |
| AFFILIATIONS | Danish Academy of Technical Sciences |
| ORCID | 0000-0002-2208-0350 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Cross-Domain Travel Mode Detection for Electric Micro-Mobility Using Semi-Supervised Learning
Electric micro-mobility modes, such as e-scooters and e-bikes, are increasingly used in urban areas, posing challenges for accurate travel mode detection in mobility studies. Traditional supervised learning approaches require large labeled datasets, which are costly and time-consuming to generate. To address this, we propose xSeCA, a semi-supervised convolutional autoencoder that leverages both labeled and unlabeled trajectory data to detect elec…
No prominent works on this page.
Cross-Domain Travel Mode Detection for Electric Micro-Mobility Using Semi-Supervised Learning
Electric micro-mobility modes, such as e-scooters and e-bikes, are increasingly used in urban areas, posing challenges for accurate travel mode detection in mobility studies. Traditional supervised learning approaches require large labeled datasets, which are costly and time-consuming to generate. To address this, we propose xSeCA, a semi-supervised convolutional autoencoder that leverages both labeled and unlabeled trajectory data to detect elec…
Autoencoder (1 work) · Beijing (1 work) · Convolutional neural network (1 work) · Generalization (1 work) · Human Mobility and Location-Based Analysis (1 work) · Scalability (1 work) · Supervised Learning (1 work) · Traffic Prediction and Management Techniques (1 work) · Transportation Planning and Optimization (1 work)