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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
publications
Overcoming the bottleneck in traditional assessments of verbal memory: Modeling human ratings and classifying clinical group membership
Chandler, C., Foltz, P.W., Cheng, J., Bernstein, J.C., Rosenfeld, E.P., Cohen, A.S, Holmlund, T.B., and Elvevåg, B. (2019). Overcoming the bottleneck in traditional assessments of verbal memory: Modeling human ratings and classifying clinical group membership. In Proceedings of the NAACL-HLT 2019 Workshop on Computational Linguistics and Clinical Psychology. pp. 137-147.
Using Machine Learning in Psychiatry: The Need to Establish a Framework That Nurtures Trustworthiness
Chandler, C., Foltz, P.W., and Elvevåg, B. (2020). Using Machine Learning in Psychiatry: The Need to Establish a Framework That Nurtures Trustworthiness. Schizophrenia Bulletin. Volume 46, Issue 1, pp. 1114.
Predicting Self-Reported Affect from Speech Acoustics and Language
Chandler, C., Foltz, P.W., Cheng, J., Cohen, A.S., Holmlund, T.B., and Elvevåg, B. (2020). Predicting Self-Reported Affect from Speech Acoustics and Language. In Proceedings of the LREC 2020 Workshop on: Resources and Processing of Linguistic, Para-linguistic and Extra-linguistic Data from People with Various Forms of Cognitive/Psychiatric/Developmental Impairments (RaPID-3). pp. 9-14.
Machine learning for ambulatory applications of neuropsychological testing
Chandler, C., Foltz, P.W., Cohen, A.S., Holmlund, T.B., Cheng, J., Bernstein, J.C., Rosenfeld, E.P., and Elvevåg, B. (2020). Machine learning for ambulatory applications of neuropsychological testing. Intelligence-Based Medicine, Volumes 1-2, 100006.
Applying speech technologies to assess verbal memory in patients with serious mental illness
Holmlund, T.B., Chandler, C., Foltz, P.W., Cohen, A.S., D., Cheng, J., Bernstein, J., Rosenfeld, E., and Elvevåg, B. (2020). Applying speech technologies to assess verbal memory in patients with serious mental illness. npj Digital Medicine 3 (1), 1-8.
Acceptability of Collecting Speech Samples from the Elderly via the Telephone
Diaz-Asper, C., Chandler, C., Turner, R. S., Reynolds, B., and Elvevåg, B. (2021). Acceptability of collecting speech samples from the elderly via the telephone. DIGITAL HEALTH.
Extending the usefulness of the verbal memory test: The promise of machine learning
Chandler, C., Holmlund, T.B., Foltz, P.W., Cohen, A.S., and Elvevåg, B. (2021). Extending the usefulness of the verbal memory test: The promise of machine learning. Psychiatry Research. Volume 297, 113743. ISSN 0165-1781.
Safeguarding against spurious AI-based predictions: The case of automated verbal memory assessment
Chandler, C., Foltz, P.W., Cohen, A.S., Holmlund, T.B., and Elvevåg, B. (2021). Safeguarding against spurious AI-based predictions: The case of automated verbal memory assessment. NAACL-HLT 2021 Workshop on Computational Linguistics and Clinical Psychology
Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies
Chandler, C., Foltz, P.W., and Elvevåg, B. (2022). Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies. Schizophrenia Bulletin. Themed Issue: Translating Natural Language Processing (NLP) into mainstream schizophrenia assessment.
Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation
Cohen, A.S., Rodriguez, Z., Warren, K.K., Cowan, T., Masucci, M.D., Granrud, O.E., Holmlund, T.B., Chandler, C., Foltz, P.W., and Strauss, G.P. (2022) Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation. Schizophrenia Bulletin, Themed Issue: Translating Natural Language Processing (NLP) into mainstream schizophrenia assessment. Volume 48, Issue 5, Pages 939–948
Using automated syllable counting to detect missing information in speech transcripts from clinical settings
Diaz-Asper, M., Holmlund, T.B., Chandler, C., Diaz-Asper, C., Foltz, P.W., Cohen, A.S., and Elvevåg, B. (2022) Using automated syllable counting to detect missing information in speech transcripts from clinical settings. Psychiatry Research. Volume 315, 114712.
Increasing access to cognitive screening in the elderly: Applying natural language processing methods to speech collected over the telephone
Diaz-Asper, C., Chandler, C., Turner, R.S., Reynolds, B., and Elvevåg, B. (2022) Increasing access to cognitive screening in the elderly: Applying natural language processing methods to speech collected over the telephone. Cortex
Reflections on the nature of measurement in language-based automated assessments of patients’ mental state and cognitive function
Foltz, P.W., Chandler, C., Diaz-Asper, C., Cohen, A.S., Rodriguez, Z., Holmlund, T.B., and Elvevåg B. (2022) Reflections on the nature of measurement in language-based automated assessments of patients' mental state and cognitive function. Schizophrenia Research.
Towards a temporospatial framework for measurements of disorganization in speech using semantic vectors
Holmlund, T.B., Chandler, C., Foltz, P.W., Diaz-Asper, C., Cohen, A.S., Rodriguez, Z., Elvevåg, B. (2022). Towards a temporospatial framework for measurements of disorganization in speech using semantic vectors. Schizophrenia Research.
talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Software Development Methods and Tools
Undergraduate course, University of Colorado Boulder, Department of Computer Science, 2018
Fall 2018 (Teaching Assistant), Spring 2019 (Teaching Assistant), and Spring 2020 (Teaching Assistant)
Graduate Natural Language Processing
Graduate course, University of Colorado Boulder, Department of Computer Science, 2019
Fall 2019 (Teaching Assistant)
Senior Capstone Project
Undergraduate course, University of Colorado Boulder, Department of Computer Science, 2020
Fall 2020 (Teaching Assistant) and Spring 2021 (Teaching Assistant)
Introduction to Computing
Undergraduate course, University of Colorado Boulder, Department of Computer Science, 2021
Summer 2021 (Graduate Part Time Instructor), Fall 2017 (Teaching Assistant), and Spring 2018 (Teaching Assistant)