3 papers
cs.HC2026
TSExplorer: An interactive data annotation and exploration tool for time-series data
Einari Vaaras, Manu Airaksinen, Okko Räsänen
We present TSExplorer, a cross-platform tool for interactive annotation and exploration of time-series data. The tool enables users to inspect high-dimensional datasets through mul…
cs.CL2025
Investigating Affect Mining Techniques for Annotation Sample Selection in the Creation of Finnish Affective Speech Corpus
Kalle Lahtinen, Einari Vaaras, Liisa Mustanoja +1
Study of affect in speech requires suitable data, as emotional expression and perception vary across languages. Until now, no corpus has existed for natural expression of affect in…
cs.LG2024
PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse
Einari Vaaras, Manu Airaksinen, Okko Räsänen
Self-supervised learning (SSL) is a data-driven learning approach that utilizes the innate structure of the data to guide the learning process. In contrast to supervised learning,…