| 2025 | ASRU | EmoTale: An Enacted Speech-emotion Dataset in Danish. | Maja J. Hjuler, Harald V. Skat-Rrdam, Line H. Clemmensen, Sneha Das |
| 2025 | ICASSP | Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift. | Maja J. Hjuler, Line H. Clemmensen, Sneha Das |
| 2025 | Interspeech | An Exploration of Interpretable Deep Learning Models for the Assessment of Mild Cognitive Impairment. | Emma Cathrine Liisborg Leschly, Oliver Roesler, Michael Neumann, Jackson Liscombe, Abhishek Hosamath, Lakshmi Arbatti, Line H. Clemmensen, Melanie Ganz, Vikram Ramanarayanan |
| 2024 | AAAI | Pantypes: Diverse Representatives for Self-Explainable Models. | Rune D. Kjrsgaard, Ahcne Boubekki, Line H. Clemmensen |
| 2024 | AISTATS | Fair Soft Clustering. | Rune D. Kjrsgaard, Pekka Parviainen, Saket Saurabh, Madhumita Kundu, Line H. Clemmensen |
| 2023 | ICASSP | On Crowdsourcing-Design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms. | Anglica S. Z. Surez, Clment Laroche, Line H. Clemmensen, Sneha Das |
| 2022 | ICASSP | Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations. | Sneha Das, Nicole Nadine Lnfeldt, Anne Katrine Pagsberg, Line H. Clemmensen |
| 2020 | ICASSP | Weight Sharing and Deep Learning for Spectral Data. | Jacob Sgaard Larsen, Line H. Clemmensen |