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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.

An explainable machine learning model of cognitive decline derived from speech

Chandler, C., Diaz‐Asper, C., Turner, R.S., Reynolds, B., Elvevåg, B. (2023). An explainable machine learning model of cognitive decline derived from speech. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. Volume 15, Issue 4.

The Community Builder (CoBi): Helping Students to Develop Better Small Group Collaborative Learning Skills

Breideband, T., Bush, J., Chandler, C., Chang, M., Dickler, R., Foltz, P.W., Ganesh, A., Lieber, R., Penuel, W.R., Reitman, J.G., Weatherley, J., D'Mello, S.K. (2023). The Community Builder (CoBi): Helping Students to Develop Better Small Group Collaborative Learning Skills. Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing. Pages 376-380.

A framework for language technologies in behavioral research and clinical applications: Ethical challenges, implications, and solutions.

Diaz-Asper, C., Hauglid, M. K., Chandler, C., Cohen, A. S., Foltz, P. W., & Elvevåg, B. (2024). A framework for language technologies in behavioral research and clinical applications: Ethical challenges, implications, and solutions. American Psychologist, 79(1), 79–91.

Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom Dialog

Ganesh, A., Chandler, C., D'Mello, S., Palmer, M., Kann, K. (2024). Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom Dialog. Proceedings of the 17th International Conference on Educational Data Mining, 835--843. ISBN: 978-1-7336736-5-5.

Computational modeling of collaborative discourse to enable feedback and reflection in middle school classrooms

Chandler, C., Breideband, T., Reitman, J.G., Chitwood, M., Bush, J.B., Howard, A., Leonhart, S., Foltz, P.W., Penuel, W.R., D'Mello, S.K. (2024). Computational modeling of collaborative discourse to enable feedback and reflection in middle school classrooms. PProceedings of the 14th Learning Analytics and Knowledge Conference, 576-586.

Cognitive Screening for Mild Cognitive Impairment: Clinician Perspectives on Current Practices and Future Directions

Diaz-Asper, C., Chandler, C., Elvevåg, B. (2024). Cognitive Screening for Mild Cognitive Impairment: Clinician Perspectives on Current Practices and Future Directions. Journal of Alzheimer’s Disease, 99(3), 869–876.

Assessing dimensions of thought disorder with large language models: The tradeoff of accuracy and consistency

Pugh, S.L., Chandler, C., Cohen, A.S., Diaz-Asper, C., Elvevåg, B., Foltz, P.W. (2024).Assessing dimensions of thought disorder with large language models: The tradeoff of accuracy and consistency. Psychiatry Research. Volume 341. 116119

talks

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)

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)