5 citations · 9 across the 5 of their papers we have counts for
4 papers · 1 filter
Better Classifier Calibration for Small Data Sets
Tuomo Alasalmi, Jaakko Suutala, Heli Koskimäki +1
Classifier calibration does not always go hand in hand with the classifier's ability to separate the classes. There are applications where good classifier calibration, i.e. the abi…
Better Multi-class Probability Estimates for Small Data Sets
Tuomo Alasalmi, Jaakko Suutala, Heli Koskimäki +1
Many classification applications require accurate probability estimates in addition to good class separation but often classifiers are designed focusing only on the latter. Calibra…
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…