Detection of the need for a model update in steel manufacturing. - Heli Koskimäki; Ilmari Juutilainen; Perttu Laurinen; Juha Röning (ICINCO-ICSO, 2007)

Application of the Extended k nn Method to Resistance Spot Welding Process Identification and the Benefits of Process Information. - Heli Koskimäki; Perttu Laurinen; Eija Haapalainen; Lauri Tuovinen; Juha Röning (IEEE Trans. Ind. Electron., 2007)

Two-level clustering approach to training data instance selection: A case study for the steel industry. - Heli Koskimäki; Ilmari Juutilainen; Perttu Laurinen; Juha Röning (IJCNN, 2008)

Utilizing similarity information in industrial applications. - Heli Koskimäki (2009)

Recognizing user Interface Control Gestures from Acceleration Data using Time Series Templates. - Pekka Siirtola; Perttu Laurinen; Heli Koskimäki; Juha Röning (ICINCO (3), 2010)

Periodic quick test for classifying long-term activities. - Pekka Siirtola; Heli Koskimäki; Juha Röning (CIDM, 2011)

Semi-automatic Maintenance of Regression Models: an Application in the Steel Industry. - Ilmari Juutilainen; Lauri Tuovinen; Perttu Laurinen; Heli Koskimäki; Juha Röning (J. Comput. Inf. Technol., 2011)

Improving the classification accuracy of streaming data using SAX similarity features. - Pekka Siirtola; Heli Koskimäki; Ville Huikari; Perttu Laurinen; Juha Röning (Pattern Recognit. Lett., 2011)

Behavior modeling in industrial assembly lines using a wrist-worn inertial measurement unit. - Heli Koskimäki; Ville Huikari; Pekka Siirtola; Juha Röning (J. Ambient Intell. Humaniz. Comput., 2013)

Recognizing gym exercises using acceleration data from wearable sensors. - Heli Koskimäki; Pekka Siirtola (CIDM, 2014)

Detecting and profiling sedentary young men using machine learning algorithms. - Pekka Siirtola; Riitta Pyky; Riikka Ahola; Heli Koskimäki; Timo Jämsä; Raija Korpelainen; Juha Röning (CIDM, 2014)

Classification Uncertainty of Multiple Imputed Data. - Tuomo Alasalmi; Heli Koskimäki; Jaakko Suutala; Juha Röning (SSCI, 2015)

Avoiding Bias in Classification Accuracy - A Case Study for Activity Recognition. - Heli Koskimäki (SSCI, 2015)

Instance Level Classification Confidence Estimation. - Tuomo Alasalmi; Heli Koskimäki; Jaakko Suutala; Juha Röning (DCAI, 2016)

Recognizing Unseen Gym Activities from Streaming Data - Accelerometer Vs. Electromyogram. - Heli Koskimäki; Pekka Siirtola (DCAI, 2016)

From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors. - Pekka Siirtola; Heli Koskimäki; Juha Röning (ESANN, 2016)

Adaptive model fusion for wearable sensors based human activity recognition. - Heli Koskimäki; Pekka Siirtola (FUSION, 2016)

Model update in wearable sensors based human activity recognition. - Heli Koskimäki; Pekka Siirtola (SSCI, 2016)

Personal models for eHealth - improving user-dependent human activity recognition models using noise injection. - Pekka Siirtola; Heli Koskimäki; Juha Röning (SSCI, 2016)

Exploring use of wearable sensors to identify early symptoms of migraine attack. - Hanna-Leena Huttunen; Raija Halonen; Heli Koskimäki (UbiComp/ISWC Adjunct, 2017)

Early detection of migraine attacks based on wearable sensors: experiences of data collection using Empatica E4. - Heli Koskimäki; Henna Mönttinen; Pekka Siirtola; Hanna-Leena Huttunen; Raija Halonen; Juha Röning (UbiComp/ISWC Adjunct, 2017)

Computer game and wearable sensors based approach to promote physical activity for young men. - Heli Koskimäki; Pekka Siirtola; Eino Keskitalo; Lauri Tuovinen; Tim Luoto; Riikka Ahola; Riitta Pyky; Raija Korpelainen; Timo Jämsä; Hannu I. Heikkinen; Juha Röning (UbiComp/ISWC Adjunct, 2017)

MyoGym: introducing an open gym data set for activity recognition collected using myo armband. - Heli Koskimäki; Pekka Siirtola; Juha Röning (UbiComp/ISWC Adjunct, 2017)

Wishes For Wearables From Patients With Migraine. - Hanna-Leena Huttunen; Raija Halonen; Heli Koskimäki (MCIS, 2017)

Personalizing human activity recognition models using incremental learning. - Pekka Siirtola; Heli Koskimäki; Juha Röning (ESANN, 2018)

How Do We Sleep: a Case Study of Sleep Duration and Quality Using Data from Oura Ring. - Heli Koskimäki; Hannu Kinnunen; Teemu Kurppa; Juha Röning (UbiComp/ISWC Adjunct, 2018)

OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets. - Pekka Siirtola; Heli Koskimäki; Juha Röning (UbiComp/ISWC Adjunct, 2018)

Getting More Out of Small Data Sets - Improving the Calibration Performance of Isotonic Regression by Generating More Data. - Tuomo Alasalmi; Heli Koskimäki; Jaakko Suutala; Juha Röning (ICAART (2), 2018)

Experiences with Publicly Open Human Activity Data Sets - Studying the Generalizability of the Recognition Models. - Pekka Siirtola; Heli Koskimäki; Juha Röning (ICPRAM, 2018)

Using Sleep Time Data from Wearable Sensors for Early Detection of Migraine Attacks. - Pekka Siirtola; Heli Koskimäki; Henna Mönttinen; Juha Röning (Sensors, 2018)

OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets - Introduction and Experimental Results. - Pekka Siirtola; Heli Koskimäki; Juha Röning (Human Activity Sensing, 2019)

Importance of user inputs while using incremental learning to personalize human activity recognition models. - Pekka Siirtola; Heli Koskimäki; Juha Röning (ESANN, 2019)

Following the heart: what does variation of resting heart rate tell about us as individuals and as a population. - Heli Koskimäki; Hannu Kinnunen; Salla Rönkä; Benjamin L. Smarr (UbiComp/ISWC Adjunct, 2019)

Wrist-worn Wearable Sensors to Understand Insides of the Human Body: Data Quality and Quantity. - Pekka Siirtola; Ella Peltonen; Heli Koskimäki; Henna Mönttinen; Juha Röning; Susanna Pirttikangas (WearSys@MobiSys, 2019)

From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone. - Pekka Siirtola; Heli Koskimäki; Juha Röning (CoRR, 2019)

Better Multi-class Probability Estimates for Small Data Sets. - Tuomo Alasalmi; Jaakko Suutala; Heli Koskimäki; Juha Röning (CoRR, 2020)

Better Classifier Calibration for Small Data Sets. - Tuomo Alasalmi; Jaakko Suutala; Heli Koskimäki; Juha Röning (CoRR, 2020)

Better Classifier Calibration for Small Datasets. - Tuomo Alasalmi; Jaakko Suutala; Juha Röning; Heli Koskimäki (ACM Trans. Knowl. Discov. Data, 2020)

The Impact of Smartphone Usage on Circadian Cycles: A Case Study with Wearable Ring. - Ella Peltonen; Parsa Sharmila; Elina Kuosmanen; Heli Koskimäki; Aku Visuri (PerCom Workshops, 2022)

How Does Sleep Tracking Influence Your Life?: Experiences from a Longitudinal Field Study with a Wearable Ring. - Elina Kuosmanen; Aku Visuri; Saba Kheirinejad; Niels van Berkel; Heli Koskimäki; Denzil Ferreira; Simo Hosio (Proc. ACM Hum. Comput. Interact., 2022)

Cognitive Performance Measurements and the Impact of Sleep Quality Using Wearable and Mobile Sensors. - Aku Visuri; Heli Koskimäki; Niels van Berkel; Andy Alorwu; Ella Peltonen; Saeed Abdullah; Simo Hosio (CoRR, 2025)