Valentin Radu
TitleCited byYear
A semi-supervised learning approach for robust indoor-outdoor detection with smartphones
V Radu, P Katsikouli, R Sarkar, MK Marina
Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems …, 2014
862014
Himloc: Indoor smartphone localization via activity aware pedestrian dead reckoning with selective crowdsourced wifi fingerprinting
V Radu, MK Marina
International conference on indoor positioning and indoor navigation, 1-10, 2013
852013
Towards multimodal deep learning for activity recognition on mobile devices
V Radu, ND Lane, S Bhattacharya, C Mascolo, MK Marina, F Kawsar
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
582016
Pazl: A mobile crowdsensing based indoor WiFi monitoring system
V Radu, L Kriara, MK Marina
Proceedings of the 9th International Conference on Network and Service …, 2013
432013
Multimodal Deep Learning for Activity and Context Recognition
V Radu, C Tong, S Bhattacharya, ND Lane, C Mascolo, MK Marina, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
302018
Impact of indoor-outdoor context on crowdsourcing based mobile coverage analysis
MK Marina, V Radu, K Balampekos
Proceedings of the 5th Workshop on All Things Cellular: Operations …, 2015
112015
Poster: Am I indoor or outdoor?
V Radu, P Katsikouli, R Sarkar, MK Marina
Proceedings of the 20th annual international conference on Mobile computing …, 2014
82014
Characterising across-stack optimisations for deep convolutional neural networks
J Turner, J Cano, V Radu, EJ Crowley, M O’Boyle, A Storkey
2018 IEEE International Symposium on Workload Characterization (IISWC), 101-110, 2018
72018
Poster: a hybrid approach for indoor mobile phone localization
V Radu, J Li, L Kriara, MK Marina, R Mortier
Proceedings of the 10th international conference on Mobile systems …, 2012
62012
A hybrid approach for indoor mobile phone localization
V Radu, J Li, L Kriara, MK Marina, R Mortier
environments 1, 2, 2012
12012
Indoor localization of mobile devices for wireless networks monitoring system based on Pedestrian Dead Reckoning
V Radu
1
Distilling with Performance Enhanced Students
J Turner, EJ Crowley, V Radu, J Cano, A Storkey, M O’Boyle
stat 1050, 7, 2019
2019
CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras
A Cosma, IE Radoi, V Radu
arXiv preprint arXiv:1812.11209, 2018
2018
HAKD: Hardware Aware Knowledge Distillation
J Turner, EJ Crowley, V Radu, J Cano, A Storkey, M O'Boyle
arXiv preprint arXiv:1810.10460, 2018
2018
Accelerating Deep Convolutional Neural Networks on Low Power Embedded Devices
J Cano, J Turner, V Radu, M O'Boyle
2018
Multimodal Sensing for Robust and Energy-Efficient Context Detection with Smart Mobile Devices
V Radu
The University of Edinburgh, 2017
2017
Concurrent Deep Neural Network Tasks on Constrained Devices
V Radu, Y Wen
Distilling with Performance Enhanced Students
V Radu, J Cano, A Storkey
End-to-End Machine Learning for Smartphone-based Indoor Localisation and Tracking using Recurrent Neural Networks
X Wei, V Radu
Mobile Network Measurement via Crowdsourcing
K Balampekos, I Ivanov, G Zlatkov, V Radu, M Marina
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Articles 1–20