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Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization.

J. Chang, P. Fletcher, J. Han, T. Chang, S. Vattikuti, B. Desmet, A. Zirikly, and C. Chow. CoRR, (2020)

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The Power of Language Music: Arabic Lemmatization through Patterns.M. Attia, A. Zirikly, and M. Diab. CogALex@COLING, page 40-50. The COLING 2016 Organizing Committee, (2016)A Whole-Person Function Dictionary for the Mobility, Self-Care and Domestic Life Domains: a Seedset Expansion Approach.A. Zirikly, B. Desmet, J. Porcino, J. Maldonado, P. Ho, R. Silva, and M. Sacco. LREC, page 2850-2855. European Language Resources Association, (2022)Characterization of Stigmatizing Language in Medical Records.K. Harrigian, A. Zirikly, B. Chee, A. Ahmad, A. Links, S. Saha, M. Beach, and M. Dredze. ACL (2), page 312-329. Association for Computational Linguistics, (2023)Ambiguity in Medical Concept Normalization: An Analysis of Types and Coverage in Electronic Health Record Datasets.D. Newman-Griffis, G. Divita, B. Desmet, A. Zirikly, C. Rosé, and E. Fosler-Lussier. AMIA, AMIA, (2020)A comprehensive study of mobility functioning information in clinical notes: Entity hierarchy, corpus annotation, and sequence labeling.T. Thieu, J. Maldonado, P. Ho, M. Ding, A. Marr, D. Brandt, D. Newman-Griffis, A. Zirikly, L. Chan, and E. Rasch. Int. J. Medical Informatics, (2021)Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization.J. Chang, P. Fletcher, J. Han, T. Chang, S. Vattikuti, B. Desmet, A. Zirikly, and C. Chow. CoRR, (2020)Conference on Health, Inference, and Learning (CHIL) 2022.G. Flores, G. Chen, T. Pollard, A. Zirikly, M. Hughes, T. Sarker, J. Ho, and T. Naumann. CHIL, volume 174 of Proceedings of Machine Learning Research, page 1-4. PMLR, (2022)Classifying the reported ability in clinical mobility descriptions.D. Newman-Griffis, A. Zirikly, G. Divita, and B. Desmet. BioNLP@ACL, page 1-10. Association for Computational Linguistics, (2019)Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility.D. Newman-Griffis, and A. Zirikly. BioNLP, page 1-11. Association for Computational Linguistics, (2018)Experiences and Challenges in Manual Annotation of Functioning Information in Medical Records.J. Maldonado, P. Ho, R. Silva, A. Marr, J. Porcino, M. Sacco, A. Zirikly, L. Chan, and E. Rasch. AMIA, AMIA, (2020)

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Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization.

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Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization.