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)

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)

The Impact of Smartphone Usage on Circadian Cycles: A Case Study with Wearable Ring - Ella Peltonen; Parsa Sharmila; Elina Kuosmanen; Heli Koskimäki; Aku Visuri (2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom 2022 Workshops, Pisa, Italy, March 21-25, 2022, 2022)

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

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)

Importance of user inputs while using incremental learning to personalize human activity recognition models - Pekka Siirtola; Heli Koskimäki; Juha Röning (27th European Symposium on Artificial Neural Networks, ESANN 2019, Bruges, Belgium, April 24-26, 2019, 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 (Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 Adjunct, London, UK, September 9-13, 2019, 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 (The 5th ACM Workshop on Wearable Systems and Applications, WearSys@MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019, 2019)

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 - Corpus and Applications, 2019)

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

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

Personalizing human activity recognition models using incremental learning - Pekka Siirtola; Heli Koskimäki; Juha Röning (CoRR, 2019)

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

Personalizing human activity recognition models using incremental learning - Pekka Siirtola; Heli Koskimäki; Juha Röning (26th European Symposium on Artificial Neural Networks, ESANN 2018, Bruges, Belgium, April 25-27, 2018, 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 (Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, UbiComp/ISWC 2018 Adjunct, Singapore, October 08-12, 2018, 2018)

OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets - Pekka Siirtola; Heli Koskimäki; Juha Röning (Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, UbiComp/ISWC 2018 Adjunct, Singapore, October 08-12, 2018, 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 (Proceedings of the 10th International Conference on Agents and Artificial Intelligence, ICAART 2018, Volume 2, Funchal, Madeira, Portugal, January 16-18, 2018, 2018)

Experiences with Publicly Open Human Activity Data Sets - Studying the Generalizability of the Recognition Models - Pekka Siirtola; Heli Koskimäki; Juha Röning (Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018, Funchal, Madeira - Portugal, January 16-18, 2018, 2018)

Exploring use of wearable sensors to identify early symptoms of migraine attack - Hanna-Leena Huttunen; Raija Halonen; Heli Koskimäki (Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017, Maui, HI, USA, September 11-15, 2017, 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 (Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017, Maui, HI, USA, September 11-15, 2017, 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 (Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017, Maui, HI, USA, September 11-15, 2017, 2017)

MyoGym: introducing an open gym data set for activity recognition collected using myo armband - Heli Koskimäki; Pekka Siirtola; Juha Röning (Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017, Maui, HI, USA, September 11-15, 2017, 2017)

Wishes For Wearables From Patients With Migraine - Hanna-Leena Huttunen; Raija Halonen; Heli Koskimäki (11th Mediterranean Conference on Information Systems, MCIS 2017, Genoa, Italy, 4-5 September 2017, 2017)

Recognizing Unseen Gym Activities from Streaming Data - Accelerometer Vs. Electromyogram - Heli Koskimäki; Pekka Siirtola (Distributed Computing and Artificial Intelligence, 13th International Conference, DCAI 2016, Sevilla, Spain, 1-3 June, 2016, 2016)

Instance Level Classification Confidence Estimation - Tuomo Alasalmi; Heli Koskimäki; Jaakko Suutala; Juha Röning (Distributed Computing and Artificial Intelligence, 13th International Conference, DCAI 2016, Sevilla, Spain, 1-3 June, 2016, 2016)

From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors - Pekka Siirtola; Heli Koskimäki; Juha Röning (24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016, 2016)

Adaptive model fusion for wearable sensors based human activity recognition - Heli Koskimäki; Pekka Siirtola (19th International Conference on Information Fusion, FUSION 2016, Heidelberg, Germany, July 5-8, 2016, 2016)

Model update in wearable sensors based human activity recognition - Heli Koskimäki; Pekka Siirtola (2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, Athens, Greece, December 6-9, 2016, 2016)

Personal models for eHealth - improving user-dependent human activity recognition models using noise injection - Pekka Siirtola; Heli Koskimäki; Juha Röning (2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, Athens, Greece, December 6-9, 2016, 2016)

Classification Uncertainty of Multiple Imputed Data - Tuomo Alasalmi; Heli Koskimäki; Jaakko Suutala; Juha Röning (IEEE Symposium Series on Computational Intelligence, SSCI 2015, Cape Town, South Africa, December 7-10, 2015, 2015)

Avoiding Bias in Classification Accuracy - A Case Study for Activity Recognition - Heli Koskimäki (IEEE Symposium Series on Computational Intelligence, SSCI 2015, Cape Town, South Africa, December 7-10, 2015, 2015)

Detecting and profiling sedentary young men using machine learning algorithms - Pekka Siirtola; Riitta Pyky; Riikka Ahola; Heli Koskimäki; Timo Jämsä; Raija Korpelainen; Juha Röning (2014 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2014, Orlando, FL, USA, December 9-12, 2014, 2014)

Recognizing gym exercises using acceleration data from wearable sensors - Heli Koskimäki; Pekka Siirtola (2014 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2014, Orlando, FL, USA, December 9-12, 2014, 2014)

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)

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)

Periodic quick test for classifying long-term activities - Pekka Siirtola; Heli Koskimäki; Juha Röning (Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2011, part of the IEEE Symposium Series on Computational Intelligence 2011, April 11-15, 2011, Paris, France, 2011)

Recognizing user Interface Control Gestures from Acceleration Data using Time Series Templates - Pekka Siirtola; Perttu Laurinen; Heli Koskimäki; Juha Röning (ICINCO 2010, Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics, Volume 3, Funchal, Madeira, Portugal, June 15-18, 2010, 2010)

Utilizing similarity information in industrial applications - Heli Koskimäki (University of Oulu, Finland, 2009)

Two-level clustering approach to training data instance selection: A case study for the steel industry - Heli Koskimäki; Ilmari Juutilainen; Perttu Laurinen; Juha Röning (Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, 2008)

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)

Detection of the need for a model update in steel manufacturing - Heli Koskimäki; Ilmari Juutilainen; Perttu Laurinen; Juha Röning (ICINCO 2007, Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics, Intelligent Control Systems and Optimization, Angers, France, May 9-12, 2007, 2007)