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Amir Harati
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2020 – today
- 2023
- [c7]Robert Rozanski, Elizabeth Shriberg, Yang Lu, Amir Harati, Tomasz Rutowski, Piotr Chlebek, Tulio Goulart, Ricardo Oliveira:
Probabilistic Performance Bounds for Evaluating Depression Models Given Noisy Self-Report Labels. BIBM 2023: 4827-4833 - 2022
- [c6]Tomasz Rutowski, Amir Harati, Elizabeth Shriberg, Yang Lu, Piotr Chlebek, Ricardo Oliveira:
Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language. INTERSPEECH 2022: 3343-3347 - 2021
- [c5]Amir Harati, Elizabeth Shriberg, Tomasz Rutowski, Piotr Chlebek, Yang Lu, Ricardo Oliveira:
Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large Corpus. ICASSP 2021: 7273-7277 - [c4]Tomek Rutowski, Elizabeth Shriberg, Amir Harati, Yang Lu, Ricardo Oliveira, Piotr Chlebek:
Cross-Demographic Portability of Deep NLP-Based Depression Models. SLT 2021: 1052-1057 - 2020
- [c3]Tomasz Rutowski, Elizabeth Shriberg, Amir Harati, Yang Lu, Piotr Chlebek, Ricardo Oliveira:
Depression and Anxiety Prediction Using Deep Language Models and Transfer Learning. BESC 2020: 1-6 - [c2]Piotr Chlebek, Elizabeth Shriberg, Yang Lu, Tomasz Rutowski, Amir Harati, Ricardo Oliveira:
Comparing speech recognition services for HCI applications in behavioral health. UbiComp/ISWC Adjunct 2020: 483-487
2010 – 2019
- 2019
- [c1]Tomasz Rutowski, Amir Harati, Yang Lu, Elizabeth Shriberg:
Optimizing Speech-Input Length for Speaker-Independent Depression Classification. INTERSPEECH 2019: 3023-3027
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