| psiTurk: An open-source framework for conducting replicable behavioral experiments online TM Gureckis, J Martin, J McDonnell, AS Rich, D Markant, A Coenen, ... Behavior research methods 48, 829-842, 2016 | 321 | 2016 |
| Lessons for artificial intelligence from the study of natural stupidity AS Rich, TM Gureckis Nature Machine Intelligence 1 (4), 174-180, 2019 | 100 | 2019 |
| The limits of learning: Exploration, generalization, and the development of learning traps. AS Rich, TM Gureckis Journal of Experimental Psychology: General 147 (11), 1553, 2018 | 64 | 2018 |
| Exploratory choice reflects the future value of information. AS Rich, TM Gureckis Decision 5 (3), 177, 2018 | 25* | 2018 |
| AI reflections in 2019 AS Rich, C Rudin, JD MP, R Freeman, OR Wearn, H Shevlin, D Kanta, ... Nature Machine Intelligence 2 (1), 2-9, 2020 | 17 | 2020 |
| Proactive advising: a machine learning driven approach to vaccine hesitancy A Bell, A Rich, M Teng, T Orešković, NB Bras, L Mestrinho, S Golubovic, ... 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-6, 2019 | 15 | 2019 |
| psiTurk: An open platform for science on Amazon Mechanical Turk D Eargle, T Gureckis, AS Rich, J McDonnell, JB Martin Zenodo, 2021 | 12 | 2021 |
| A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncology L Coombs, A Orlando, X Wang, P Shaw, AS Rich, S Lakhtakia, ... NPJ Digital Medicine 5 (1), 117, 2022 | 11 | 2022 |
| Modeling second-language learning from a psychological perspective A Rich, PO Popp, D Halpern, A Rothe, T Gureckis Proceedings of the thirteenth workshop on innovative use of NLP for building …, 2018 | 11 | 2018 |
| The value of approaching bad things A Rich, T Gureckis Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 8 | 2014 |
| Progress in the application of machine learning algorithms to cancer research and care NJ Meropol, J Donegan, AS Rich JAMA Network Open 4 (7), e2116063-e2116063, 2021 | 7 | 2021 |
| Topics and trends in cognitive science (2000-2017) A Rothe, AS Rich, ZW Li Proceedings of the Annual Meeting of the Cognitive Science Society 40, 2018 | 7 | 2018 |
| Deep learning architecture for analyzing unstructured data A Rich, G Amster, G Adams US Patent 11,728,014, 2023 | 5 | 2023 |
| An interpretable end-to-end fine-tuning approach for long clinical text K Huang, S Garapati, AS Rich arXiv preprint arXiv:2011.06504, 2020 | 4 | 2020 |
| Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk J de Leeuw, A Coenen, D Markant, JB Martin, J McDonnell, A Rich, ... Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 3 | 2014 |
| Clinical risk model P Shaw, A Orlando, A Rich, R Miksad, D Connolly, B Adamson, J Tseng, ... US Patent 11,476,002, 2022 | 2 | 2022 |
| The Attentional Learning Trap and How to Avoid It AS Rich, TM Gureckis | 2 | 2015 |
| Machine learning model for extracting diagnoses, treatments, and key dates A Rich, B Leybovich, B Irvine, N Singh, B Birnbaum US Patent 11,830,592, 2023 | 1 | 2023 |
| Postprediction inference for clinical characteristics extracted with machine learning on electronic health records A Sondhi, AS Rich, S Wang, JT Leek JCO Clinical Cancer Informatics 7, e2200174, 2023 | 1 | 2023 |
| Extracting non-small cell lung cancer (NSCLC) diagnosis and diagnosis dates from electronic health record (EHR) text using a deep learning algorithm. AS Rich, B Leybovich, M Estevez, J Irvine, N Singh, AB Cohen, ... Journal of clinical oncology 39 (15_suppl), 1556-1556, 2021 | 1 | 2021 |
Todd GureckisProfessor of Psychology, New York University在 nyu.edu 的电子邮件经过验证
