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Heli Koskimäki
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2020 – today
- 2022
- [j7]Elina Kuosmanen, Aku Visuri
, Saba Kheirinejad, Niels van Berkel, Heli Koskimäki, Denzil Ferreira, Simo Hosio
How Does Sleep Tracking Influence Your Life?: Experiences from a Longitudinal Field Study with a Wearable Ring. Proc. ACM Hum. Comput. Interact. 6(MHCI): 1-19 (2022) - [c28]Ella Peltonen, Parsa Sharmila, Elina Kuosmanen, Heli Koskimäki, Aku Visuri
The Impact of Smartphone Usage on Circadian Cycles: A Case Study with Wearable Ring. PerCom Workshops 2022: 148-154 - 2020
- [j6]Tuomo Alasalmi
Better Classifier Calibration for Small Datasets. ACM Trans. Knowl. Discov. Data 14(3): 34:1-34:19 (2020) - [i5]Tuomo Alasalmi, Jaakko Suutala, Heli Koskimäki, Juha Röning:
Better Multi-class Probability Estimates for Small Data Sets. CoRR abs/2001.11242 (2020) - [i4]Tuomo Alasalmi, Jaakko Suutala, Heli Koskimäki, Juha Röning:
Better Classifier Calibration for Small Data Sets. CoRR abs/2002.10199 (2020)
2010 – 2019
- 2019
- [c27]Pekka Siirtola, Heli Koskimäki, Juha Röning:
Importance of user inputs while using incremental learning to personalize human activity recognition models. ESANN 2019 - [c26]Heli Koskimäki
Following the heart: what does variation of resting heart rate tell about us as individuals and as a population. UbiComp/ISWC Adjunct 2019: 1178-1181 - [c25]Pekka Siirtola, Ella Peltonen
Wrist-worn Wearable Sensors to Understand Insides of the Human Body: Data Quality and Quantity. WearSys@MobiSys 2019: 17-21 - [p1]Pekka Siirtola, Heli Koskimäki, Juha Röning:
OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets - Introduction and Experimental Results. Human Activity Sensing 2019: 121-133 - [i3]Pekka Siirtola, Heli Koskimäki, Juha Röning:
Importance of user inputs while using incremental learning to personalize human activity recognition models. CoRR abs/1905.11775 (2019) - [i2]Pekka Siirtola, Heli Koskimäki, Juha Röning:
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone. CoRR abs/1905.12285 (2019) - [i1]Pekka Siirtola, Heli Koskimäki, Juha Röning:
Personalizing human activity recognition models using incremental learning. CoRR abs/1905.12628 (2019) - 2018
- [j5]Pekka Siirtola
Using Sleep Time Data from Wearable Sensors for Early Detection of Migraine Attacks. Sensors 18(5): 1374 (2018) - [c24]Pekka Siirtola, Heli Koskimäki, Juha Röning:
Personalizing human activity recognition models using incremental learning. ESANN 2018 - [c23]Heli Koskimäki
How Do We Sleep: a Case Study of Sleep Duration and Quality Using Data from Oura Ring. UbiComp/ISWC Adjunct 2018: 714-717 - [c22]Pekka Siirtola, Heli Koskimäki
OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets. UbiComp/ISWC Adjunct 2018: 1396-1403 - [c21]Tuomo Alasalmi, Heli Koskimäki, Jaakko Suutala, Juha Röning:
Getting More Out of Small Data Sets - Improving the Calibration Performance of Isotonic Regression by Generating More Data. ICAART (2) 2018: 379-386 - [c20]Pekka Siirtola, Heli Koskimäki, Juha Röning:
Experiences with Publicly Open Human Activity Data Sets - Studying the Generalizability of the Recognition Models. ICPRAM 2018: 291-299 - 2017
- [c19]Hanna-Leena Huttunen, Raija Halonen
Exploring use of wearable sensors to identify early symptoms of migraine attack. UbiComp/ISWC Adjunct 2017: 500-505 - [c18]Heli Koskimäki
Early detection of migraine attacks based on wearable sensors: experiences of data collection using Empatica E4. UbiComp/ISWC Adjunct 2017: 506-511 - [c17]Heli Koskimäki
Computer game and wearable sensors based approach to promote physical activity for young men. UbiComp/ISWC Adjunct 2017: 512-517 - [c16]Heli Koskimäki
MyoGym: introducing an open gym data set for activity recognition collected using myo armband. UbiComp/ISWC Adjunct 2017: 537-546 - [c15]Hanna-Leena Huttunen, Raija Halonen, Heli Koskimäki:
Wishes For Wearables From Patients With Migraine. MCIS 2017: 18 - 2016
- [c14]Heli Koskimäki
Recognizing Unseen Gym Activities from Streaming Data - Accelerometer Vs. Electromyogram. DCAI 2016: 195-202 - [c13]Tuomo Alasalmi
Instance Level Classification Confidence Estimation. DCAI 2016: 275-282 - [c12]Pekka Siirtola, Heli Koskimäki, Juha Röning:
From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors. ESANN 2016 - [c11]Heli Koskimäki, Pekka Siirtola:
Adaptive model fusion for wearable sensors based human activity recognition. FUSION 2016: 1709-1713 - [c10]Heli Koskimäki
Model update in wearable sensors based human activity recognition. SSCI 2016: 1-6 - [c9]Pekka Siirtola
Personal models for eHealth - improving user-dependent human activity recognition models using noise injection. SSCI 2016: 1-7 - 2015
- [c8]Tuomo Alasalmi
Classification Uncertainty of Multiple Imputed Data. SSCI 2015: 151-158 - [c7]Heli Koskimäki
Avoiding Bias in Classification Accuracy - A Case Study for Activity Recognition. SSCI 2015: 301-306 - 2014
- [c6]Pekka Siirtola
Detecting and profiling sedentary young men using machine learning algorithms. CIDM 2014: 296-303 - [c5]Heli Koskimäki
Recognizing gym exercises using acceleration data from wearable sensors. CIDM 2014: 321-328 - 2013
- [j4]Heli Koskimäki
Behavior modeling in industrial assembly lines using a wrist-worn inertial measurement unit. J. Ambient Intell. Humaniz. Comput. 4(2): 187-194 (2013) - 2011
- [j3]Ilmari Juutilainen, Lauri Tuovinen, Perttu Laurinen, Heli Koskimäki
Semi-automatic Maintenance of Regression Models: an Application in the Steel Industry. J. Comput. Inf. Technol. 19(3): 193-206 (2011) - [j2]Pekka Siirtola
Improving the classification accuracy of streaming data using SAX similarity features. Pattern Recognit. Lett. 32(13): 1659-1668 (2011) - [c4]Pekka Siirtola
Periodic quick test for classifying long-term activities. CIDM 2011: 135-140 - 2010
- [c3]Pekka Siirtola, Perttu Laurinen, Heli Koskimäki, Juha Röning:
Recognizing user Interface Control Gestures from Acceleration Data using Time Series Templates. ICINCO (3) 2010: 176-182
2000 – 2009
- 2009
- [b1]Heli Koskimäki:
Utilizing similarity information in industrial applications. University of Oulu, Finland, 2009 - 2008
- [c2]Heli Koskimäki
Two-level clustering approach to training data instance selection: A case study for the steel industry. IJCNN 2008: 3044-3049 - 2007
- [j1]Heli Koskimäki
Application of the Extended k nn Method to Resistance Spot Welding Process Identification and the Benefits of Process Information. IEEE Trans. Ind. Electron. 54(5): 2823-2830 (2007) - [c1]Heli Koskimäki, Ilmari Juutilainen, Perttu Laurinen, Juha Röning:
Detection of the need for a model update in steel manufacturing. ICINCO-ICSO 2007: 55-59
Coauthor Index
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