Heli Koskimäki

Orcid: 0000-0003-2760-2071

According to our database1, Heli Koskimäki authored at least 40 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2022
How Does Sleep Tracking Influence Your Life?: Experiences from a Longitudinal Field Study with a Wearable Ring.
Proc. ACM Hum. Comput. Interact., 2022

The Impact of Smartphone Usage on Circadian Cycles: A Case Study with Wearable Ring.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

2020
Better Classifier Calibration for Small Datasets.
ACM Trans. Knowl. Discov. Data, 2020

Better Classifier Calibration for Small Data Sets.
CoRR, 2020

Better Multi-class Probability Estimates for Small Data Sets.
CoRR, 2020

2019
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone.
CoRR, 2019

Wrist-worn Wearable Sensors to Understand Insides of the Human Body: Data Quality and Quantity.
Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, 2019

Following the heart: what does variation of resting heart rate tell about us as individuals and as a population.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Importance of user inputs while using incremental learning to personalize human activity recognition models.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets - Introduction and Experimental Results.
Proceedings of the Human Activity Sensing - Corpus and Applications, 2019

2018
Using Sleep Time Data from Wearable Sensors for Early Detection of Migraine Attacks.
Sensors, 2018

Experiences with Publicly Open Human Activity Data Sets - Studying the Generalizability of the Recognition Models.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Getting More Out of Small Data Sets - Improving the Calibration Performance of Isotonic Regression by Generating More Data.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

How Do We Sleep: a Case Study of Sleep Duration and Quality Using Data from Oura Ring.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Personalizing human activity recognition models using incremental learning.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
Wishes For Wearables From Patients With Migraine.
Proceedings of the 11th Mediterranean Conference on Information Systems, 2017

MyoGym: introducing an open gym data set for activity recognition collected using myo armband.
Proceedings of the 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, 2017

Computer game and wearable sensors based approach to promote physical activity for young men.
Proceedings of the 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, 2017

Early detection of migraine attacks based on wearable sensors: experiences of data collection using Empatica E4.
Proceedings of the 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, 2017

Exploring use of wearable sensors to identify early symptoms of migraine attack.
Proceedings of the 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, 2017

2016
Personal models for eHealth - improving user-dependent human activity recognition models using noise injection.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Model update in wearable sensors based human activity recognition.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Adaptive model fusion for wearable sensors based human activity recognition.
Proceedings of the 19th International Conference on Information Fusion, 2016

From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Recognizing Unseen Gym Activities from Streaming Data - Accelerometer Vs. Electromyogram.
Proceedings of the Distributed Computing and Artificial Intelligence, 2016

Instance Level Classification Confidence Estimation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2016

2015
Avoiding Bias in Classification Accuracy - A Case Study for Activity Recognition.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Classification Uncertainty of Multiple Imputed Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

2014
Detecting and profiling sedentary young men using machine learning algorithms.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Recognizing gym exercises using acceleration data from wearable sensors.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013
Behavior modeling in industrial assembly lines using a wrist-worn inertial measurement unit.
J. Ambient Intell. Humaniz. Comput., 2013

2011
Improving the classification accuracy of streaming data using SAX similarity features.
Pattern Recognit. Lett., 2011

Semi-automatic Maintenance of Regression Models: an Application in the Steel Industry.
J. Comput. Inf. Technol., 2011

Periodic quick test for classifying long-term activities.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010
Recognizing user Interface Control Gestures from Acceleration Data using Time Series Templates.
Proceedings of the ICINCO 2010, 2010

2009
Utilizing similarity information in industrial applications.
PhD thesis, 2009

2008
Two-level clustering approach to training data instance selection: A case study for the steel industry.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Application of the Extended k nn Method to Resistance Spot Welding Process Identification and the Benefits of Process Information.
IEEE Trans. Ind. Electron., 2007

Detection of the need for a model update in steel manufacturing.
Proceedings of the ICINCO 2007, 2007


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