| 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 (3), 829-842, 2016 | 161 | 2016 |
| Psiturk (Version 1.02)[Software] JV McDonnell, JB Martin, DB Markant, A Coenen, AS Rich, TM Gureckis New York, NY: New York University, 2012 | 13 | 2012 |
| psiturk (version 1.02)[software]. new york, ny: New york university JV McDonnell, JB Martin, DB Markant, A Coenen, AS Rich, TM Gureckis | 13 | 2012 |
| Lessons for artificial intelligence from the study of natural stupidity AS Rich, TM Gureckis Nature Machine Intelligence 1 (4), 174-180, 2019 | 11 | 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 | 9 | 2018 |
| Exploratory choice reflects the future value of information. AS Rich, TM Gureckis Decision 5 (3), 177, 2018 | 9 | 2018 |
| 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 | 6 | 2018 |
| The value of approaching bad things A Rich, T Gureckis Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 6 | 2014 |
| Topics and trends in cognitive science (2000–2017) A Rothe, AS Rich, ZW Li Proceedings of the 40th annual conference of the cognitive science society …, 2018 | 2 | 2018 |
| The Attentional Learning Trap and How to Avoid It AS Rich, TM Gureckis | 2 | 2015 |
| 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 | 2 | 2014 |
| An Interpretable End-to-end Fine-tuning Approach for Long Clinical Text K Huang, S Garapati, AS Rich arXiv preprint arXiv:2011.06504, 2020 | | 2020 |
| Prospective validation of a clinical tool developed with machine learning to identify high-risk patients with cancer and reduce emergency department visits. LA Coombs, A Orlando, BJS Adamson, SD Griffith, S Lakhtakia, A Rich, ... Journal of Clinical Oncology 38 (29_suppl), 254-254, 2020 | | 2020 |
| Does a bias toward the present influence exploratory choice? AS Rich, TM Gureckis Journal of Articles in Support of the Null Hypothesis 16 (1), 2019 | | 2019 |
| 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 | | 2019 |
| Proactive advising A Bell, A Rich, M Teng, T Orešković, NB Bras, L Mestrinho, S Golubovic, ... 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019, 2019 | | 2019 |
| Causes and Consequences of Exploratory Choice AS Rich New York University, 2018 | | 2018 |
| Learning traps data A Rich, T Gureckis OSF, 2017 | | 2017 |
| Does a present bias influence exploratory choice? AS Rich, TM Gureckis CogSci, 2017 | | 2017 |
Todd GureckisProfessor of Psychology, New York UniversityVerified email at nyu.edu
