Mikhail Sysoev

1. SYSOEV, Mikhail, KOS, Andrej, SEDLAR, Urban, POGAČNIK, Matevž. Sensors classification for stress analysis, toward automatic stress recognition. In: Proceedings. 2014 International Conference on Identification, Information and Knowledge in the Internet of Things, IIKI 2014, 17-18 October 2014, Beijing, China. Los Alamitos; Washington; Tokyo: CPS: IEEE, cop. 2014. Str. 117-121, ilustr. ISBN 978-1-4799-8003-1. [COBISS.SI-ID 10919252]

2. SYSOEV, Mikhail, SEDLAR, Urban, KOS, Andrej, POGAČNIK, Matevž. Stress-sensors classification and stress-analysis algorithms review. Elektrotehniški vestnik. [Slovenska tiskana izd.]. 2014, letn. 81, št. 5, str. 263-271, ilustr. ISSN 0013-5852. http://ev.fe.uni-lj.si/5-2014/Sysoev.pdf, http://www.dlib.si/details/URN:NBN:SI:doc-OU19HFPS. [COBISS.SI-ID 10918996]

3. SYSOEV, Mikhail, KOS, Andrej, SEDLAR, Urban, POGAČNIK, Matevž. Behavioral and contextual data for stress analysis. In: LOSHKOVSKA, Suzana (ed.), KOCESKI, Saso (ed.). ICT Innovations 2015 : web proceedings. Skopje: ICT ACT, cop. 2015. Str. 71-77, ilustr. ICT Innovations Conference Web Proceedings (Skopje). ISSN 1857-7288. [COBISS.SI-ID 11206996]

4. SYSOEV, Mikhail, KOS, Andrej, POGAČNIK, Matevž. Noninvasive stress recognition considering the current activity. Personal and ubiquitous computing. Oct. 2015, vol. 19, no. 7, str. 1045-1052, ilustr. ISSN 1617-4909. http://link.springer.com/article/10.1007/s00779-015-0885-5, DOI: 10.1007/s00779-015-0885-5. [COBISS.SI-ID 11118420]

5. SYSOEV, Mikhail, KOS, Andrej, POGAČNIK, Matevž. Methodology of estimation of driving style based on contextual data. In: RIJAVEC, Robert (ed.), et al. ITS for efficient energy use : proceedings. Ljubljana: Electrotechnical Association of Slovenia: ITS Slovenia, 2016. [5] f., ilustr. ISBN 978-961-6187-63-3. [COBISS.SI-ID 11566932]

6. BURGER, Gregor, SYSOEV, Mikhail, STOJMENOVA DUH, Emilija, POGAČNIK, Matevž, GUNA, Jože. Metodološka priporočila za izvajanje objektivne in subjektivne analize vozniških navad. In: PODJED, Dan (ed.). Premiki za prihodnost : raziskovanje načinov vožnje in pristopov za spodbujanje trajnostne mobilnosti : [znanstveni simpozij, Ljubljana, 18. marec 2016]. Ljubljana: ZRC SAZU, Inštitut za slovensko narodopisje, 2016. Str. 16-17. [COBISS.SI-ID 11315284]

7. SYSOEV, Mikhail, KOS, Andrej, POGAČNIK, Matevž. Smart driving : influence of context and behavioral data on driving style. In: GALININA, Olga (ed.), BALANDIN, Sergey (ed.), KOUCHERYAVY, Yevgeni (ed.). Internet of things, smart spaces, and next generation networks and systems : proceedings. 16th International Conference, NEW2AN 2016, and 9th Conference, ruSMART 2016, St. Petersburg, Russia, September 26-28, 2016. Cham: Springer, cop. 2016. Str. 141-151, ilustr. Lecture notes in computer science, 9870. ISBN 978-3-319-46300-1. ISSN 0302-9743. http://link.springer.com/chapter/10.1007/978-3-319-46301-8_12, DOI: 10.1007/978-3-319-46301-8_12. [COBISS.SI-ID 11566676]

8. SYSOEV, Mikhail, KOS, Andrej, GUNA, Jože, POGAČNIK, Matevž. Estimation of the driving style based on the usersʹ activity and environment influence. Sensors. Oct. 2017, no. 10, 2404, str. 1-15, ilustr. ISSN 1424-8220. http://www.mdpi.com/1424-8220/17/10/2404, Repository of the University of Ljubljana – RUL , DOI: 10.3390/s17102404. [COBISS.SI-ID 11867476]

9. BURGER, Gregor, SYSOEV, Mikhail, STOJMENOVA DUH, Emilija, POGAČNIK, Matevž, GUNA, Jože. Methodology recommendations for subjective and objective assessment of driving styles. In: PODJED, Dan (ed.), BEZJAK, Simona (ed.), BABIČ, Saša. Research on the road : methodology and practice of studying traffic, driving habits, and sustainable mobility. 1st ed. Ljubljana: Založba ZRC, 2017. Str. 81-109, ilustr. ISBN 978-961-05-0025-4. [COBISS.SI-ID 11804500]

10. SYSOEV, Mikhail. Ocena sloga vožnje na podlagi kontekstualnih podatkov = Estimation of driving style based on contextual data : doctoral thesis. Ljubljana: [M. Sysoev], 2017. XXVII, 97 str., ilustr. Repository of the University of Ljubljana – RUL , http://www.dlib.si/details/URN:NBN:SI:doc-OUQH90FQ. [COBISS.SI-ID 11768148]