| Deep learning architect: classification for architectural design through the eye of artificial intelligence Y Yoshimura, B Cai, Z Wang, C Ratti Computational Urban Planning and Management for Smart Cities 16, 249-265, 2019 | 82 | 2019 |
| Deep Learning Based Video System for Accurate and Real-Time Parking Measurement BY Cai, R Alvarez, M Sit, F Duarte, C Ratti IEEE Internet of Things Journal, 2019 | 72 | 2019 |
| Treepedia 2.0: Applying Deep Learning for Large-scale Quantification of Urban Tree Cover BY Cai, X Li, I Seiferling, C Ratti IEEE BigData Congress 2018, 2018 | 62 | 2018 |
| A novel method for predicting and mapping the occurrence of sun glare using Google Street View X Li, BY Cai, W Qiu, J Zhao, C Ratti Transportation research part C: emerging technologies 106, 132-144, 2019 | 45 | 2019 |
| Using street-level images and deep learning for urban landscape studies X Li, BY Cai, C Ratti Landscape Architecture Frontiers 6 (2), 20-30, 2018 | 30 | 2018 |
| Quantifying legibility of indoor spaces using Deep Convolutional Neural Networks: Case studies in train stations Z Wang, Q Liang, F Duarte, F Zhang, L Charron, L Johnsen, B Cai, C Ratti Building and Environment 160, 106099, 2019 | 21 | 2019 |
| SB-MTL: Score-based meta transfer-learning for cross-domain few-shot learning J Cai, B Cai, SM Shen arXiv preprint arXiv:2012.01784, 2020 | 9 | 2020 |
| Quantifying Urban Canopy Cover with Deep Convolutional Neural Networks B Cai, X Li, C Ratti Neural Information Processing Systems (NeurIPS) 2019, Workshop on Climate Change, 2019 | 7 | 2019 |
| Damsl: Domain agnostic meta score-based learning J Cai, B Cai, SS Mei Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 5 | 2021 |
| Navigating Indoor Spaces Using Machine Learning: Train Stations in Paris Z Wang, Q Liang, F Duarte, F Zhang, L Charron, L Johnsen, B Cai, C Ratti Machine Learning and the City: Applications in Architecture and Urban Design …, 2022 | 2 | 2022 |
| 基于街道图像与深度学习的城市景观研究 李小江， 蔡洋， 卡洛， 拉蒂， 刘姝， 王颖 收藏 2, 2018 | 2 | 2018 |
| Intergenerational mobility and crime rates: Using climate as an instrumental variable WH Chia, C Tay, J Ertl, J Zhang, B Cai Research Paper, 2016 | 2 | 2016 |
| A novel method for predicting and mapping the presence of sun glare using Google Street View X Li, BY Cai, W Qiu, J Zhao, C Ratti arXiv preprint arXiv:1808.04436, 2018 | 1 | 2018 |
| Low-Cost Generation and Evaluation of Dictionary Example Sentences B Cai, CBL Ng, D Tan, S Hotama Annual Conference of the North American Chapter of the Association for …, 2024 | | 2024 |
| Applications of deep learning and computer vision in large scale quantification of tree canopy cover and real-time estimation of street parking BY Cai Massachusetts Institute of Technology, 2018 | | 2018 |
| SimForest: An Efficient Plug-in to Boost Few-Shot Learning Performance Y Bai, B Cai, Z Zheng, YK Tan | | |
| Image Segmentation: Domain Adaptation Through Data Augmentation and Post-Processing S Kim, B Cai | | |
| 6.869 Miniplaces Challenge Report B Cai, S Kim | | |
| Examinations as Auctions: Efficiency and Equity Concerns⇤ B Cai | | |
Carlo RattiProfessor, Senseable City Lab, Department of Urban Studies and Planning, MITBestätigte E-Mail-Adresse bei mit.edu
