J. Kaartinen

发表

Genie of the Net : Context-Aware Information Management

J. Riekki, J. Röning, J. Huhtinen, 2001 .

Diagnostic assessment of brain tumours and non-neoplastic brain disorders in vivo using proton nuclear magnetic resonance spectroscopy and artificial neural networks

Risto A. Kauppinen, Jouni Kaartinen, Matthias Niemitz, 1999, Journal of Cancer Research and Clinical Oncology.

A Technology-Assisted Telephone Intervention for Work-Related Stress Management: Pilot Randomized Controlled Trial

J. Kaartinen, H. Nieminen, A. Honka, 2020, Journal of medical Internet research.

Adaptive Ambient Empowerment of the Elderly (a2e2): Technical viewpoint and challenges

J. Perälä, U. Ritterfeld, J. Kaartinen, 2010 .

Life-Based Design of Digital Services Supporting the Sense of Security for Home-Dwelling People Living With Memory Disorder

J. Kaartinen, S. Elo, J. Leikas, 2017 .

Application of Near Field Communication for Health Monitoring in Daily Life

J. Parkka, E. Strommer, A. Ylisaukko-oja, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

A Comprehensive User Modeling Framework and a Recommender System for Personalizing Well-Being Related Behavior Change Interventions: Development and Evaluation

J. Kaartinen, H. Nieminen, A. Honka, 2022, IEEE Access.

Genie of the net, an agent platform for managing services on behalf of the user

Jukka Riekki, Juha Röning, Petteri Alahuhta, 2003, Comput. Commun..

Context Awareness of Everyday Objects in a Household

Petteri Alahuhta, Elena Vildjiounaite, Jouni Kaartinen, 2003, EUSAI.

Application of self‐organizing maps for the detection and classification of human blood plasma lipoprotein lipid profiles on the basis of 1H NMR spectroscopy data

M Ala-Korpela, Y. Hiltunen, J. Kaartinen, 1998, NMR in biomedicine.

Wireless weight measurement shoes

Leila Hopsu, Antti Konttila, Jouni Kaartinen, 2011, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI).

Automated quantification of human brain metabolites by artificial neural network analysis from in vivo single-voxel 1H NMR spectra.

R. Kauppinen, Y. Hiltunen, J. Kaartinen, 1998, Journal of magnetic resonance.

Productivity leap with ioT: Visions of the Internet of Things with a special focus on Global Asset Management and Smart Lighting

Jukka Hast, Kari Rönkä, Kari Mäki, 2013 .

Quantification of human brain metabolites from in vivo 1H NMR magnitude spectra using automated artificial neural network analysis.

Jouni Kaartinen, Yrjö Hiltunen, Juhani Pulkkinen, 2002, Journal of magnetic resonance.