Scellato, Salvatore

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 990

Exploiting place features in link prediction on location-based social networks

Scellato, S., Noulas, A., & Mascolo, C. (2011) · Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

Complex Network Analysis TechniquesRecommender Systems and Techniques

Cited by 522

Structural properties of planar graphs of urban street patterns

Cardillo, A., Scellato, S., Latora, V., & Porta, S. (2006) · Physical Review E

Urban Design and Spatial AnalysisComplex Network Analysis Techniques

Cited by 370

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini Team, Georgiev, P., Lei, V. I., Burnell, R., Bai, L., Gulati, A., Tanzer, G., Vincent, D., Pan, Z., Wang, S., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 306

A Random Walk around the City: New Venue Recommendation in Location-Based Social Networks

Noulas, A., Scellato, S., Lathia, N., & Mascolo, C. (2012) · 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing

Recommender Systems and TechniquesHuman Mobility and Location-Based Analysis

Cited by 184

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69