Warren K. Bickel - researchr alias

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Viewing Publication 1 - 7 from 7

2020

Building High Performance Explainable Machine Learning Models for Social Media-based Substance Use PredictionTao Ding, Fatema Hasan, Warren K. Bickel, Shimei Pan. ijait, 29(03n04), 2020. [doi]

2019

Predicting delay discounting from heterogeneous social media dataTao Ding, Warren K. Bickel, Shimei Pan. snam, 9(1), 2019. [doi]

2018

Predicting Delay Discounting from Social Media Likes with Unsupervised Feature LearningTao Ding, Warren K. Bickel, Shimei Pan. asunam 2018: 254-257 [doi]

Interpreting Social Media-Based Substance Use Prediction Models with Knowledge DistillationTao Ding, Fatema Hasan, Warren K. Bickel, Shimei Pan. ictai 2018: 623-630 [doi]

2017

Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use PredictionTao Ding, Warren K. Bickel, Shimei Pan. emnlp 2017: 2265-2274 [doi]

An adaptive, individualized fMRI delay discounting procedure to increase flexibility and optimize scanner timeMikhail N. Koffarnus, Harshawardhan U. Deshpande, Jonathan Lisinski, Anders Eklund, Warren K. Bickel, Stephen LaConte. neuroimage, 161:56-66, 2017. [doi]

2013

Physiological observations validate finite element models for estimating subject-specific electric field distributions induced by transcranial magnetic stimulation of the human motor cortexAlexander Opitz, Wynn Legon, Abby Rowlands, Warren K. Bickel, Walter Paulus, William J. Tyler. neuroimage, 81:253-264, 2013. [doi]

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