| Personalised assistance for fuel-efficient driving E Gilman, A Keskinarkaus, S Tamminen, S Pirttikangas, J Röning, ... Transportation Research Part C: Emerging Technologies 58, 681-705, 2015 | 93 | 2015 |
| Internet of things for smart spaces: A university campus case study E Gilman, S Tamminen, R Yasmin, E Ristimella, E Peltonen, M Harju, ... Sensors 20 (13), 3716, 2020 | 41 | 2020 |
| Deep learning–based multimodal data fusion: Case study in food intake episodes detection using wearable sensors N Bahador, D Ferreira, S Tamminen, J Kortelainen JMIR mHealth and uHealth 9 (1), e21926, 2021 | 19 | 2021 |
| Data Mining Methods in Hot Steel Rolling for Scale Defect Prediction. J Haapamäki, S Tamminen, J Röning Artificial Intelligence and Applications, 90-94, 2005 | 19 | 2005 |
| Enhancing veracity of IoT generated big data in decision making X Liu, S Tamminen, X Su, P Siirtola, J Röning, J Riekki, J Kiljander, ... 2018 IEEE International Conference on Pervasive Computing and Communications …, 2018 | 18 | 2018 |
| Implications of properties and quality of indoor sensor data for building machine learning applications: two case studies in smart campuses M Lillstrang, M Harju, G del Campo, G Calderon, J Röning, S Tamminen Building and Environment 207, 108529, 2022 | 16 | 2022 |
| Predicting emotion with biosignals: A comparison of classification and regression models for estimating valence and arousal level using wearable sensors P Siirtola, S Tamminen, G Chandra, A Ihalapathirana, J Röning Sensors 23 (3), 1598, 2023 | 15 | 2023 |
| Exceedance probability score: A novel measure for comparing probabilistic predictions I Juutilainen, S Tamminen, J Röning Journal of Statistical Theory and Practice 6, 452-467, 2012 | 12 | 2012 |
| How physical exercise level affects sleep quality? Analyzing big data collected from wearables X Liu, S Tamminen, T Korhonen, J Röning Procedia Computer Science 155, 242-249, 2019 | 8 | 2019 |
| Self-organizing maps in adaptive health monitoring S Tamminen, S Pirttikangas, J Roning Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 8 | 2000 |
| Comparing regression trees with neural networks in aerobic fitness approximation S Tamminen, P Laurinen, J Röning Proceedings of the international computing sciences conference symposium on …, 1999 | 8 | 1999 |
| Prediction of sleep efficiency from big physical exercise data X Liu, S Tamminen, T Korhonen, J Röning, J Riekki Adjunct Proceedings of the 2019 ACM international joint conference on …, 2019 | 7 | 2019 |
| An online quality monitoring tool for information acquisition and sharing in manufacturing: requirements and solutions for the steel industry S Tamminen, E Ferreira, H Tiensuu, H Helaakoski, V Kyllönen, J Jokisaari, ... International Journal of Industrial and Systems Engineering 33 (3), 291-313, 2019 | 7 | 2019 |
| From measurements to knowledge-online quality monitoring and smart manufacturing S Tamminen, H Tiensuu, E Ferreira, H Helaakoski, V Kyllönen, J Jokisaari, ... Advances in Data Mining. Applications and Theoretical Aspects: 18th …, 2018 | 7 | 2018 |
| Exceedance probability estimation for a quality test consisting of multiple measurements S Tamminen, I Juutilainen, J Röning Expert systems with applications 40 (11), 4577-4584, 2013 | 7 | 2013 |
| A tutorial to developing statistical models for predicting disqualification probability I Juutilainen, S Tamminen, J Röning Computational Methods for Optimizing Manufacturing Technology: Models and …, 2012 | 7 | 2012 |
| Predicting the heart rate response to outdoor running exercise X Liu, X Su, S Tamminen, T Korhonen, J Röning 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019 | 6 | 2019 |
| Density forecasting for failure probability in manufacturing I Juutilainen, S Tamminen, J Röning European Journal of Industrial Engineering 9 (4), 432-449, 2015 | 5 | 2015 |
| Quantile regression model for impact toughness estimation S Tamminen, I Juutilainen, J Röning Advances in Data Mining. Applications and Theoretical Aspects: 10th …, 2010 | 5 | 2010 |
| Data-Driven Identification of Long-Term Glycemia Clusters and Their Individualized Predictors in Finnish Patients with Type 2 Diabetes P Lavikainen, G Chandra, P Siirtola, S Tamminen, AT Ihalapathirana, ... Clinical Epidemiology, 13-29, 2023 | 4 | 2023 |
