Jaakko Suutala

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Juha RöningProfessor of Embedded Systems, University of OuluVerified email at oulu.fi
Susanna PirttikangasUniversity of Oulu, Silo.AIVerified email at oulu.fi
Dr. (tech) Tuomo AlasalmiVerified email at vero.fi
Dennis A RobersonProfessor of Computer Science, Illinois Institute of TechnologyVerified email at iit.edu
Kaori FujinamiProfessor, Tokyo University of Agriculture and TechnologyVerified email at cc.tuat.ac.jp
Marko HöyhtyäNew Space Co-Creation Manager, Adjunct Professor, VTTVerified email at vtt.fi
Marja Matinmikko-BlueUniversity Researcher, University of OuluVerified email at oulu.fi
Jukka RiekkiProfessor, University of OuluVerified email at oulu.fi
Andre BourdouxIMECVerified email at imec.be
Rafael BerkvensIDLab - University of Antwerp - imecVerified email at ieee.org
Carlos H. M. de LimaUniversity of OuluVerified email at oulu.fi
Maxime GuillaudHuawei Technologies FranceVerified email at ieee.org
Tachporn SanguanpuakCentre for Wireless Communications, Department of Communication Engineering, University of OuluVerified email at oulu.fi
Muhammad Reza Kahar Aziz, PhDAssistant Professor of Electrical Eng. (Geolocation and Wireless Comm.), Institut Teknologi SumateraVerified email at el.itera.ac.id
Tommy SvenssonChalmers University of TechnologyVerified email at chalmers.se
Barend van LiempdR&D Manager at imecVerified email at imec.be
Hadi SarieddeenPostdoctoral Research Fellow - King Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Andre Noll BarretoBarkhausen Institut, Dresden, GermanyVerified email at barkhauseninstitut.org
Mikko ValkamaTampere University, FinlandVerified email at tuni.fi
Gonzalo Seco-GranadosProfessor of Telecommunications Engineering, Universitat Autonoma of Barcelona (Spain)Verified email at uab.cat

Jaakko Suutala

Assistant Professor of Artificial Intelligence, University of Oulu

Verified email at oulu.fi - Homepage

Machine learning Signal processing Bayesian nonparametrics Artificial intelligence Data science


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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	142	2016
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	87	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	53	2004
Discriminative temporal smoothing for activity recognition from wearable sensors J Suutala, S Pirttikangas, J Röning International symposium on ubiquitious computing systems, 182-195, 2007	49	2007
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	44	2020
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	41	2003
Gaussian process person identifier based on simple floor sensors J Suutala, K Fujinami, J Röning European Conference on Smart Sensing and Context, 55-68, 2008	40	2008
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	39	2005
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	32	2020
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	31	2014
Reject-optional LVQ-based two-level classifier to improve reliability in footstep identification J Suutala, S Pirttikangas, J Riekki, J Röning International Conference on Pervasive Computing, 182-187, 2004	27	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	22	2003
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, 2021	16	2021
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	11	2004
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	10	2011
Classification uncertainty of multiple imputed data T Alasalmi, H Koskimäki, J Suutala, J Röning 2015 IEEE Symposium Series on Computational Intelligence, 151-158, 2015	7	2015
Real-time non-intrusive appliance load monitor T Alasalmi, J Suutala, J Röning International conference on Smart grids and Green IT Systems, 203-208, 2012	7	2012
SE-155 DBSA: a device-based software architecture for data mining J Kätevä, P Laurinen, T Rautio, J Suutala, L Tuovinen, J Röning Proceedings of the 2010 ACM Symposium on Applied Computing, 2273-2280, 2010	5	2010
Instance level classification confidence estimation T Alasalmi, H Koskimäki, J Suutala, J Röning Distributed Computing and Artificial Intelligence, 13th International …, 2016	4	2016
Persons tracking with Gaussian process joint particle filtering J Suutala, K Fujinami, J Röning 2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010	4	2010

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