Optimizing Speech-Input Length for Speaker-Independent Depression Classification. - Tomasz Rutowski; Amir Harati; Yang Lu; Elizabeth Shriberg (INTERSPEECH, 2019)

Depression and Anxiety Prediction Using Deep Language Models and Transfer Learning. - Tomasz Rutowski; Elizabeth Shriberg; Amir Harati; Yang Lu; Piotr Chlebek; Ricardo Oliveira (BESC, 2020)

Comparing speech recognition services for HCI applications in behavioral health. - Piotr Chlebek; Elizabeth Shriberg; Yang Lu; Tomasz Rutowski; Amir Harati; Ricardo Oliveira (UbiComp/ISWC Adjunct, 2020)

Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large Corpus. - Amir Harati; Elizabeth Shriberg; Tomasz Rutowski; Piotr Chlebek; Yang Lu; Ricardo Oliveira (ICASSP, 2021)

Cross-Demographic Portability of Deep NLP-Based Depression Models. - Tomek Rutowski; Elizabeth Shriberg; Amir Harati; Yang Lu; Ricardo Oliveira; Piotr Chlebek (SLT, 2021)

Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language. - Tomasz Rutowski; Amir Harati; Elizabeth Shriberg; Yang Lu; Piotr Chlebek; Ricardo Oliveira (INTERSPEECH, 2022)

Probabilistic Performance Bounds for Evaluating Depression Models Given Noisy Self-Report Labels. - Robert Rozanski; Elizabeth Shriberg; Yang Lu; Amir Harati; Tomasz Rutowski; Piotr Chlebek; Tulio Goulart; Ricardo Oliveira (BIBM, 2023)

Robust Speech and Natural Language Processing Models for Depression Screening. - Yang Lu; Amir Harati; Tomasz Rutowski; Ricardo Oliveira; Piotr Chlebek; Elizabeth Shriberg (CoRR, 2024)

Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language. - Tomek Rutowski; Amir Harati; Elizabeth Shriberg; Yang Lu; Piotr Chlebek; Ricardo Oliveira (CoRR, 2025)