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Szymon Fedor
Szymon Fedor
Research Scientist, University of Cambridge, MIT Media Lab
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Examination of real-time fluctuations in suicidal ideation and its risk factors: Results from two ecological momentary assessment studies
MK Kleiman, E.M., Turner, B.J., Fedor, S., Beale, E.E., Huffman, J.C., & Nock
Journal of Abnormal Psychology, In Press, 2017
4012017
Examination of real-time fluctuations in suicidal ideation and its risk factors: Results from two ecological momentary assessment studies.
MK Kleiman, E.M., Turner, B.J., Fedor, S., Beale, E.E., Huffman, J.C., Nock
Journal of Abnormal Psychology., 2017
4012017
Multiple arousal theory and daily-life electrodermal activity asymmetry
RW Picard, S Fedor, Y Ayzenberg
Emotion Review 8 (1), 62-75, 2016
2442016
Automatic identification of artifacts in electrodermal activity data
S Taylor, N Jaques, W Chen, S Fedor, A Sano, R Picard
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
1972015
Digital phenotyping of suicidal thoughts
EM Kleiman, BJ Turner, S Fedor, EE Beale, RW Picard, JC Huffman, ...
Depression and anxiety 35 (7), 601-608, 2018
1182018
On the problem of energy efficiency of multi-hop vs one-hop routing in wireless sensor networks
S Fedor, M Collier
21st International Conference on Advanced Information Networking and …, 2007
982007
Constrained application protocol for low power embedded networks: A survey
BC Villaverde, D Pesch, R De Paz Alberola, S Fedor, M Boubekeur
Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 …, 2012
882012
Service discovery protocols for constrained machine-to-machine communications
BC Villaverde, RDP Alberola, AJ Jara, S Fedor, SK Das, D Pesch
IEEE communications surveys & tutorials 16 (1), 41-60, 2013
862013
Objective assessment of depressive symptoms with machine learning and wearable sensors data
A Ghandeharioun, S Fedor, L Sangermano, D Ionescu, J Alpert, C Dale, ...
2017 Seventh International Conference on Affective Computing and Intelligent …, 2017
722017
Objective assessment of depressive symptoms with machine learning and wearable sensors data
R Ghandeharioun, A., Fedor, S., Sangermano, L., Ionescu, D., Alpert, J ...
International Conference on Affective Computing and Intelligent Interaction …, 2017
722017
A visual programming framework for wireless sensor networks in smart home applications
MA Serna, CJ Sreenan, S Fedor
2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor …, 2015
482015
Wavelet-based motion artifact removal for electrodermal activity
W Chen, N Jaques, S Taylor, A Sano, S Fedor, RW Picard
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
402015
Active learning for electrodermal activity classification
V Xia, N Jaques, S Taylor, S Fedor, R Picard
2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6, 2015
322015
Service Performance in Communications Network
S Fedor, S Handurukande
US Patent App. 13/881,964, 2013
282013
Magneto approach to qos monitoring
S Handurukande, S Fedor, S Wallin, M Zach
12th IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2011
282011
Mobile application and wearable sensors for use in cognitive behavioral therapy for drug addiction and PTSD
RR Fletcher, S Tam, O Omojola, R Redemske, S Fedor, JM Moshoka
2011 5th International Conference on Pervasive Computing Technologies for …, 2011
222011
Negative affect is more strongly associated with suicidal thinking among suicidal patients with borderline personality disorder than those without
D Mou, EM Kleiman, S Fedor, S Beck, JC Huffman, MK Nock
Journal of psychiatric research 104, 198-201, 2018
202018
PyFUNS: A python framework for ubiquitous networked sensors
S Bocchino, S Fedor, M Petracca
European Conference on Wireless Sensor Networks, 1-18, 2015
202015
Self-organisation for building automation systems: Middleware linc as an integration tool
F Pacull, LF Ducreux, S Thior, H Moner, D Pusceddu, O Yaakoubi, ...
IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society …, 2013
202013
Reception region characterisation using a 2.4 GHz direct sequence spread spectrum radio
D O'Rourke, S Fedor, C Brennan, M Collier
Proceedings of the 4th workshop on Embedded networked sensors, 68-72, 2007
162007
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Articles 1–20