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Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data.

B. Shickel, and P. Rashidi. CoRR, (2020)

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Benjamin Kazan

Hans Benjamin

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Automatic Triage of Mental Health Forum Posts.B. Shickel, and P. Rashidi. CLPsych@HLT-NAACL, page 188-192. The Association for Computational Linguistics, (2016)ART: An Availability-Aware Active Learning Framework for Data Streams.B. Shickel, and P. Rashidi. FLAIRS, page 92-97. AAAI Press, (2016)Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.M. Contreras, B. Silva, B. Shickel, S. Bandyopadhyay, Z. Guan, Y. Ren, T. Ozrazgat-Baslanti, K. Khezeli, A. Bihorac, and P. Rashidi. BHI, page 1-5. IEEE, (2023)Deep neural network architectures for forecasting analgesic response.P. Nickerson, P. Tighe, B. Shickel, and P. Rashidi. EMBC, page 2966-2969. IEEE, (2016)Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning.B. Shickel, M. Heesacker, S. Benton, and P. Rashidi. CoRR, (2017)Transformers and large language models in healthcare: A review.S. Nerella, S. Bandyopadhyay, J. Zhang, M. Contreras, S. Siegel, A. Bumin, B. Silva, J. Sena, B. Shickel, A. Bihorac and 2 other author(s). Artif. Intell. Medicine, (2024)DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning.B. Shickel, T. Loftus, T. Ozrazgat-Baslanti, A. Ebadi, A. Bihorac, and P. Rashidi. CoRR, (2018)Automatic Detection and Classification of Cognitive Distortions in Mental Health Text.B. Shickel, S. Siegel, M. Heesacker, S. Benton, and P. Rashidi. BIBE, page 275-280. IEEE, (2020)Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision.Y. Ma, S. Kolla, Z. Hu, D. Kaliraman, V. Nolan, Z. Guan, Y. Ren, B. Armfield, T. Ozrazgat-Baslanti, J. Balch and 4 other author(s). CoRR, (2024)Federated learning model for predicting major postoperative complications.Y. Park, Y. Ren, B. Shickel, Z. Guan, A. Patela, Y. Ma, Z. Hu, T. Loftus, P. Rashidi, T. Ozrazgat-Baslanti and 1 other author(s). CoRR, (2024)

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Disambiguation of "Shickel, Benjamin"

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Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data.

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Benjamin Köckemann

Benjamin Bender

Benjamin Braatz

Benjamin Kazan

Hans Benjamin

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Disambiguation

BibSonomy

Disambiguation of "Shickel, Benjamin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data.

Please choose a person to relate this publication to

Benjamin Köckemann

Benjamin Bender

Benjamin Braatz

Benjamin Kazan

Hans Benjamin

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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Chicago
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Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data.