| DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation L Fridman, J Terwilliger, B Jenik Neural Information Processing Systems (NIPS 2018) Deep Reinforcement …, 2018 | 433* | 2018 |
| 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 | 352* | 2019 |
| Active authentication on mobile devices via stylometry, application usage, web browsing, and GPS location L Fridman, S Weber, R Greenstadt, M Kam IEEE Systems Journal 11 (2), 513-521, 2016 | 257 | 2016 |
| Learning human identity from motion patterns N Neverova, C Wolf, G Lacey, L Fridman, D Chandra, B Barbello, G Taylor IEEE Access 4, 1810-1820, 2016 | 228 | 2016 |
| Driver gaze region estimation without use of eye movement L Fridman, P Langhans, J Lee, B Reimer IEEE Intelligent Systems 31 (3), 49-56, 2016 | 188 | 2016 |
| To walk or not to walk: Crowdsourced assessment of external vehicle-to-pedestrian displays L Fridman, B Mehler, L Xia, Y Yang, LY Facusse, B Reimer arXiv preprint arXiv:1707.02698, 2017 | 182 | 2017 |
| Cognitive load estimation in the wild L Fridman, B Reimer, B Mehler, WT Freeman Proceedings of the 2018 chi conference on human factors in computing systems …, 2018 | 178 | 2018 |
| A machine learning approach for power allocation in HetNets considering QoS R Amiri, H Mehrpouyan, L Fridman, RK Mallik, A Nallanathan, D Matolak 2018 IEEE international conference on communications (ICC), 1-7, 2018 | 162 | 2018 |
| Owl and Lizard: patterns of head pose and eye pose in driver gaze classification L Fridman, J Lee, B Reimer, T Victor IET Computer Vision 10 (4), 308-314, 2016 | 115 | 2016 |
| Human-centered autonomous vehicle systems: Principles of effective shared autonomy L Fridman arXiv preprint arXiv:1810.01835, 2018 | 105 | 2018 |
| Multi-modal decision fusion for continuous authentication L Fridman, A Stolerman, S Acharya, P Brennan, P Juola, R Greenstadt, ... Computers & Electrical Engineering 41, 142-156, 2015 | 90 | 2015 |
| Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions L Fridman, L Ding, B Jenik, B Reimer arXiv preprint arXiv:1710.04459, 2017 | 71* | 2017 |
| Detecting road surface wetness from audio: A deep learning approach I Abdić, L Fridman, DE Brown, W Angell, B Reimer, E Marchi, B Schuller 2016 23rd International Conference on Pattern Recognition (ICPR), 3458-3463, 2016 | 70 | 2016 |
| What can be predicted from six seconds of driver glances? L Fridman, H Toyoda, S Seaman, B Seppelt, L Angell, J Lee, B Mehler, ... Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017 | 63 | 2017 |
| Automated synchronization of driving data using vibration and steering events L Fridman, DE Brown, W Angell, I Abdić, B Reimer, HY Noh Pattern Recognition Letters 75, 9-15, 2016 | 56 | 2016 |
| Driver frustration detection from audio and video in the wild I Abdic, L Fridman, D McDuff, E Marchi, B Reimer, B Schuller Proceedings of the KI, 237, 2016 | 55 | 2016 |
| Eye contact between pedestrians and drivers D AlAdawy, M Glazer, J Terwilliger, H Schmidt, J Domeyer, B Mehler, ... arXiv preprint arXiv:1904.04188, 2019 | 44 | 2019 |
| Distinguishing patterns in drivers’ visual attention allocation using Hidden Markov Models M Muñoz, B Reimer, J Lee, B Mehler, L Fridman Transportation research part F: traffic psychology and behaviour 43, 90-103, 2016 | 42 | 2016 |
| Behavioral impact of drivers' roles in automated driving B Reimer, A Pettinato, L Fridman, J Lee, B Mehler, B Seppelt, J Park, ... Proceedings of the 8th international conference on automotive user …, 2016 | 40 | 2016 |
| Decision fusion for multimodal active authentication L Fridman, A Stolerman, S Acharya, P Brennan, P Juola, R Greenstadt, ... IT Professional 15 (4), 29-33, 2013 | 35 | 2013 |
Moshe KamNew Jersey Institute of TechnologyBestätigte E-Mail-Adresse bei njit.edu