activity
20192026
most citedStressNAS: Affect State and Stress Detection Using Neural Architecture Search

33 citations · 62 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Federated Survival Analysis in Healthcare: A Multi-Model Evaluation on Cross-Institutional Heterogeneous Breast Cancer Data

Natalia Moreno-Blasco, Anusha Ihalapathirana, Pekka Siirtola +1

Survival analysis is central to clinical decision-making, yet reliable time-to-event models require large, diverse cohorts that are rarely available at a single institution, while…

cs.LG202133 cited

StressNAS: Affect State and Stress Detection Using Neural Architecture Search

Lam Huynh, Tri Nguyen, Thu Nguyen +2

Smartwatches have rapidly evolved towards capabilities to accurately capture physiological signals. As an appealing application, stress detection attracts many studies due to its p…

cs.LG201912 cited

Personalizing human activity recognition models using incremental learning

Pekka Siirtola, Heli Koskimäki, Juha Röning

In this study, the aim is to personalize inertial sensor data-based human activity recognition models using incremental learning. At first, the recognition is based on user-indepen…

cs.LG20195 cited

From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone

Pekka Siirtola, Heli Koskimäki, Juha Röning

In this study, a novel method to obtain user-dependent human activity recognition models unobtrusively by exploiting the sensors of a smartphone is presented. The recognition consi…

cs.HC20198 cited

Effect of context in swipe gesture-based continuous authentication on smartphones

Pekka Siirtola, Jukka Komulainen, Vili Kellokumpu

This work investigates how context should be taken into account when performing continuous authentication of a smartphone user based on touchscreen and accelerometer readings extra…

cs.LG20194 cited

Importance of user inputs while using incremental learning to personalize human activity recognition models

Pekka Siirtola, Heli Koskimäki, Juha Röning

In this study, importance of user inputs is studied in the context of personalizing human activity recognition models using incremental learning. Inertial sensor data from three bo…