Einari Vaaras

15 papers A 3B 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating Interactive 2D Visualization as a Sample Selection Strategy for Biomedical Time-Series Data Annotation. CoRR Einari Vaaras, Manu Airaksinen, Okko Räsänen
2025	B	`conf`	Feature Space Topology Control via Hopkins Loss. ICTAI Einari Vaaras, Manu Airaksinen
2025	J	`jnl`	Feature Space Topology Control via Hopkins Loss. CoRR Einari Vaaras, Manu Airaksinen
2025	J	`jnl`	IAR 2.0: An Algorithm for Refining Inconsistent Annotations for Time-Series Data Using Discriminative Classifiers. IEEE Access Einari Vaaras, Manu Airaksinen, Okko Räsänen
2025	A	`conf`	Investigating Affect Mining Techniques for Annotation Sample Selection in the Creation of Finnish Affective Speech Corpus. INTERSPEECH Kalle Lahtinen, Einari Vaaras, Liisa Mustanoja, Okko Räsänen
2025	J	`jnl`	Investigating Affect Mining Techniques for Annotation Sample Selection in the Creation of Finnish Affective Speech Corpus. CoRR Kalle Lahtinen, Einari Vaaras, Liisa Mustanoja, Okko Räsänen
2025	J	`jnl`	PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse. IEEE Access Einari Vaaras, Manu Airaksinen, Okko Räsänen
2024	J	`jnl`	PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse. CoRR Einari Vaaras, Manu Airaksinen, Okko Räsänen
2023	J	`jnl`	Development of a speech emotion recognizer for large-scale child-centered audio recordings from a hospital environment. Speech Commun. Einari Vaaras, Sari Ahlqvist-Björkroth, Konstantinos Drossos, Liisa Lehtonen, Okko Räsänen
2023	—	`conf`	Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. EMBC Einari Vaaras, Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen
2023	J	`jnl`	Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. CoRR Einari Vaaras, Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen
2022	A	`conf`	Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition. INTERSPEECH Einari Vaaras, Manu Airaksinen, Okko Räsänen
2022	J	`jnl`	Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition. CoRR Einari Vaaras, Manu Airaksinen, Okko Räsänen
2021	A	`conf`	Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit. Interspeech Einari Vaaras, Sari Ahlqvist-Björkroth, Konstantinos Drossos, Okko Räsänen
2021	J	`jnl`	Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit. CoRR Einari Vaaras, Sari Ahlqvist-Björkroth, Konstantinos Drossos, Okko Räsänen