33 citations · 62 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
Feature Relevance Analysis to Explain Concept Drift -- A Case Study in Human Activity Recognition
Pekka Siirtola, Juha Röning
This article studies how to detect and explain concept drift. Human activity recognition is used as a case study together with a online batch learning situation where the quality o…
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…
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…
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…
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…