| MIT advanced vehicle technology study: Large-scale naturalistic driving study of driver behavior and interaction with automation L Fridman, DE Brown, M Glazer, W Angell, S Dodd, B Jenik, J Terwilliger, ... IEEE Access 7, 102021-102038, 2019 | 362* | 2019 |
| Deeptraffic: Crowdsourced hyperparameter tuning of deep reinforcement learning systems for multi-agent dense traffic navigation L Fridman, J Terwilliger, B Jenik arXiv preprint arXiv:1801.02805, 2018 | 81* | 2018 |
| Eye contact between pedestrians and drivers D AlAdawy, M Glazer, J Terwilliger, H Schmidt, J Domeyer, B Mehler, ... arXiv preprint arXiv:1904.04188, 2019 | 46 | 2019 |
| Hacking nonverbal communication between pedestrians and vehicles in virtual reality H Schmidt, J Terwilliger, D AlAdawy, L Fridman arXiv preprint arXiv:1904.01931, 2019 | 29 | 2019 |
| Value of temporal dynamics information in driving scene segmentation L Ding, J Terwilliger, R Sherony, B Reimer, L Fridman IEEE Transactions on Intelligent Vehicles 7 (1), 113-122, 2021 | 27 | 2021 |
| Dynamics of pedestrian crossing decisions based on vehicle trajectories in large-scale simulated and real-world data J Terwilliger, M Glazer, H Schmidt, J Domeyer, H Toyoda, B Mehler, ... arXiv preprint arXiv:1904.04202, 2019 | 15 | 2019 |
| MIT driveseg (manual) dataset for dynamic driving scene segmentation L Ding, J Terwilliger, R Sherony, B Reimer, L Fridman Massachusetts Institute of Technology AgeLab Technical Report 1, 2020 | 13 | 2020 |
| MIT DriveSeg (manual) dataset L Ding, J Terwilliger, R Sherony, B Reimer, L Fridman IEEE Dataport, 2020 | 11 | 2020 |
| Chimpact: A longitudinal dataset for understanding chimpanzee behaviors X Ma, S Kaufhold, J Su, W Zhu, J Terwilliger, A Meza, Y Zhu, F Rossano, ... Advances in Neural Information Processing Systems 36, 27501-27531, 2023 | 10 | 2023 |
| How 2- and 4-year-old children coordinate social interactions with peers F Rossano, J Terwilliger, A Bangerter, E Genty, R Heesen, K Zuberbühler Philisophical Transactions of the Royal Society B 377 (1859), 2022 | 8* | 2022 |
| MIT autonomous vehicle technology study: large-scale deep learning based analysis of driver behavior and interaction with automation. CoRR 1711.06976 (2019) L Fridman, DE Brown, M Glazer, W Angell, S Dodd, B Jenik, J Terwilliger, ... arXiv preprint arXiv:1711.06976, 2017 | 8 | 2017 |
| How do soundboard-trained dogs respond to human button presses? An investigation into word comprehension APM Bastos, A Evenson, PM Wood, ZN Houghton, L Naranjo, GE Smith, ... PloS one 19 (8), e0307189, 2024 | 4 | 2024 |
| CLERA: a unified model for joint cognitive load and eye region analysis in the wild L Ding, J Terwilliger, A Parab, M Wang, L Fridman, B Mehler, B Reimer ACM Transactions on Computer-Human Interaction 30 (6), 1-23, 2023 | 4 | 2023 |
| MIT DriveSeg (Semi-auto) Dataset: Large-scale Semi-automated Annotation of Semantic Driving Scenes L Ding, J Terwilliger, R Sherony, B Reimer, L Fridman Massachusetts Institute of Technology AgeLab Technical Report 2, 2020 | 2 | 2020 |
| AlphaChimp: Tracking and Behavior Recognition of Chimpanzees X Ma, Y Lin, Y Xu, SP Kaufhold, J Terwilliger, A Meza, Y Zhu, F Rossano, ... arXiv preprint arXiv:2410.17136, 2024 | | 2024 |
| Do soundboard-using dogs understand the words on their soundboards? A Bastos, ZN Houghton, L Naranjo, J Terwilliger, G Smith, F Rossano OSF, 2022 | | 2022 |
| Correlation Between Executive Function & Risk-Taking in Children NR Bhakta, F Rossano, G Deak, J Terwilliger, A Burke | | |