| Convergent communication, sensing and localization in 6G systems: An overview of technologies, opportunities and challenges C De Lima, D Belot, R Berkvens, A Bourdoux, D Dardari, M Guillaud, ... IEEE Access 9, 26902-26925, 2021 | 467 | 2021 |
| 6G white paper on machine learning in wireless communication networks S Ali, W Saad, N Rajatheva, K Chang, D Steinbach, B Sliwa, C Wietfeld, ... arXiv preprint arXiv:2004.13875, 2020 | 237 | 2020 |
| Spectrum occupancy measurements: A survey and use of interference maps M Höyhtyä, A Mämmelä, M Eskola, M Matinmikko, J Kalliovaara, ... IEEE Communications Surveys & Tutorials 18 (4), 2386-2414, 2016 | 231 | 2016 |
| 6G white paper on localization and sensing A Bourdoux, AN Barreto, B van Liempd, C de Lima, D Dardari, D Belot, ... arXiv preprint arXiv:2006.01779, 2020 | 215 | 2020 |
| Methods for person identification on a pressure-sensitive floor: Experiments with multiple classifiers and reject option J Suutala, J Röning Information Fusion 9 (1), 21-40, 2008 | 103 | 2008 |
| Towards the adaptive identification of walkers: Automated feature selection of footsteps using distinction sensitive LVQ J Suutala, J Röning Int. Workshop on Processing Sensory Information for Proactive Systems (PSIPS …, 2004 | 66 | 2004 |
| Discriminative temporal smoothing for activity recognition from wearable sensors J Suutala, S Pirttikangas, J Röning Ubiquitous Computing Systems: 4th International Symposium, UCS 2007, Tokyo …, 2007 | 59 | 2007 |
| Gaussian process person identifier based on simple floor sensors J Suutala, K Fujinami, J Röning Smart Sensing and Context: Third European Conference, EuroSSC 2008, Zurich …, 2008 | 49 | 2008 |
| White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020 A Samad, W Saad, R Nandana, C Kapseok, D Steinbach, B Sliwa, ... University of Oulu, 2020 | 46 | 2020 |
| Combining classifiers with different footstep feature sets and multiple samples for person identification J Suutala, J Roning Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 44 | 2005 |
| Global spectrum observatory network setup and initial findings T Taher, R Attard, A Riaz, D Roberson, J Taylor, K Zdunek, J Hallio, ... 2014 9th International Conference on Cognitive Radio Oriented Wireless …, 2014 | 43 | 2014 |
| Footstep identification from pressure signals using Hidden Markov Models S Pirttikangas, J Suutala, J Riekki, J Röning Proc. Finnish Signal Processing Symposium (FINSIG’03), 124-128, 2003 | 42 | 2003 |
| Reject-optional LVQ-based two-level classifier to improve reliability in footstep identification J Suutala, S Pirttikangas, J Riekki, J Röning Pervasive Computing: Second International Conference, PERVASIVE 2004, Linz …, 2004 | 35 | 2004 |
| Learning vector quantization in footstep identification S Pirttikangas, J Suutala, J Riekki, J Röning Proc. 3rd IASTED International Conference on Artificial Intelligence and …, 2003 | 26 | 2003 |
| Feature selection and activity recognition to detect water waste from water tap usage TT Vu, A Sokan, H Nakajo, K Fujinami, J Suutala, P Siirtola, T Alasalmi, ... 2011 IEEE 17th International Conference on Embedded and Real-Time Computing …, 2011 | 15 | 2011 |
| Footstep pattern matching from pressure signals using segmental semi-markov models K Koho, J Suutala, T Seppänen, J Röning 2004 12th European Signal Processing Conference, 1609-1612, 2004 | 15 | 2004 |
| Better classifier calibration for small datasets A Tuomo, J Suutala, J Röning, H Koskimäki ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (3), 1-19, 2020 | 14 | 2020 |
| Classification uncertainty of multiple imputed data T Alasalmi, H Koskimäki, J Suutala, J Röning 2015 IEEE Symposium Series on Computational Intelligence, 151-158, 2015 | 14 | 2015 |
| Getting more out of small data sets: improving the calibration performance of isotonic regression by generating more data T Alasalmi, H Koskimäki, J Suutala, J Röning Proceedings of the 10th International Conference on Agents and Artificial …, 2018 | 8 | 2018 |
| Consolidated Health Economic Evaluation Reporting Standards for Interventions that use Artificial Intelligence (CHEERS-AI) J Elvidge, C Hawksworth, TS Avşar, A Zemplenyi, A Chalkidou, S Petrou, ... Value in Health, 2024 | 7 | 2024 |
Juha RöningProfessor of Embedded Systems, University of OuluVerified email at oulu.fi
