Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit. - Einari Vaaras; Sari Ahlqvist-Björkroth; Konstantinos Drossos; Okko Räsänen (Interspeech, 2021)

Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition. - Einari Vaaras; Manu Airaksinen; Okko Räsänen (INTERSPEECH, 2022)

Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. - Einari Vaaras; Manu Airaksinen; Sampsa Vanhatalo; Okko Räsänen (EMBC, 2023)

Development of a speech emotion recognizer for large-scale child-centered audio recordings from a hospital environment. - Einari Vaaras; Sari Ahlqvist-Björkroth; Konstantinos Drossos; Liisa Lehtonen; Okko Räsänen (Speech Commun., 2023)

IAR 2.0: An Algorithm for Refining Inconsistent Annotations for Time-Series Data Using Discriminative Classifiers. - Einari Vaaras; Manu Airaksinen; Okko Räsänen (IEEE Access, 2025)

PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse. - Einari Vaaras; Manu Airaksinen; Okko Räsänen (IEEE Access, 2025)

Investigating Affect Mining Techniques for Annotation Sample Selection in the Creation of Finnish Affective Speech Corpus. - Kalle Lahtinen; Einari Vaaras; Liisa Mustanoja; Okko Räsänen (CoRR, 2025)