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Alexander S Rich
Alexander S Rich
Verified email at nyu.edu - Homepage
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Cited by
Year
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
3342016
Lessons for artificial intelligence from the study of natural stupidity
AS Rich, TM Gureckis
Nature Machine Intelligence 1 (4), 174-180, 2019
1142019
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
762018
Exploratory choice reflects the future value of information.
AS Rich, TM Gureckis
Decision 5 (3), 177, 2018
27*2018
AI reflections in 2019
AS Rich, C Rudin, DMP Jacoby, R Freeman, OR Wearn, H Shevlin, ...
Nature Machine Intelligence 2 (1), 2-9, 2020
172020
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
152019
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
142022
psiTurk: An open platform for science on Amazon Mechanical Turk
D Eargle, T Gureckis, AS Rich, J McDonnell, JB Martin
Zenodo, 2021
132021
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
122018
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
82021
The value of approaching bad things
A Rich, T Gureckis
Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014
82014
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
72018
Deep learning architecture for analyzing unstructured data
A Rich, G Amster, G Adams
US Patent 11,728,014, 2023
62023
Clinical risk model
P Shaw, A Orlando, A Rich, R Miksad, D Connolly, B Adamson, J Tseng, ...
US Patent 11,476,002, 2022
52022
An interpretable end-to-end fine-tuning approach for long clinical text
K Huang, S Garapati, AS Rich
arXiv preprint arXiv:2011.06504, 2020
42020
The Attentional Learning Trap and How to Avoid It
AS Rich, TM Gureckis
32015
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
32014
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
22023
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
12023
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
12021
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