Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora. - Sneha Das; Nicole Nadine Lønfeldt; Anne Katrine Pagsberg; Line H. Clemmensen (CoRR, 2021)

Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations. - Sneha Das; Nicole Nadine Lønfeldt; Anne Katrine Pagsberg; Line H. Clemmensen (ICASSP, 2022)

Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages. - Sneha Das; Nicklas Leander Lund; Nicole Nadine Lønfeldt; Anne Katrine Pagsberg; Line H. Clemmensen (NLDL, 2022)

Speech Detection For Child-Clinician Conversations In Danish For Low-Resource In-The-Wild Conditions: A Case Study. - Sneha Das; Nicole Nadine Lønfeldt; Anne Katrine Pagsberg; Line H. Clemmensen (CoRR, 2022)

Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan. - Nicole Nadine Lønfeldt; Flavia D. Frumosu; A.-R. Cecilie Mora-Jensen; Nicklas Leander Lund; Sneha Das; Anne Katrine Pagsberg; Line Katrine Harder Clemmensen (CoRR, 2022)

Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry. - Flavia D. Frumosu; Nicole Nadine Lønfeldt; A.-R. Cecilie Mora-Jensen; Sneha Das; Nicklas Leander Lund; Anne Katrine Pagsberg; Line Katrine Harder Clemmensen (CoRR, 2022)