Follow
Nicholas Lane
Title
Cited by
Cited by
Year
A survey of mobile phone sensing
ND Lane, E Miluzzo, H Lu, D Peebles, T Choudhury, AT Campbell
IEEE Communications magazine 48 (9), 140-150, 2010
32032010
Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application
E Miluzzo, ND Lane, K Fodor, R Peterson, H Lu, M Musolesi, ...
Proceedings of the 6th ACM conference on Embedded network sensor systems …, 2008
14692008
Soundsense: scalable sound sensing for people-centric applications on mobile phones
H Lu, W Pan, ND Lane, T Choudhury, AT Campbell
Proceedings of the 7th international conference on Mobile systems …, 2009
8872009
BikeNet: A mobile sensing system for cyclist experience mapping
SB Eisenman, E Miluzzo, ND Lane, RA Peterson, GS Ahn, AT Campbell
ACM Transactions on Sensor Networks (TOSN) 6 (1), 1-39, 2010
8842010
Flower: A friendly federated learning research framework
DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ...
arXiv preprint arXiv:2007.14390, 2020
8612020
The rise of people-centric sensing
AT Campbell, SB Eisenman, ND Lane, E Miluzzo, RA Peterson, H Lu, ...
IEEE Internet Computing 12 (4), 12-21, 2008
8402008
The jigsaw continuous sensing engine for mobile phone applications
H Lu, J Yang, Z Liu, ND Lane, T Choudhury, AT Campbell
Proceedings of the 8th ACM conference on embedded networked sensor systems …, 2010
7632010
People-centric urban sensing
AT Campbell, SB Eisenman, ND Lane, E Miluzzo, RA Peterson
Proceedings of the 2nd annual international workshop on Wireless internet, 18-es, 2006
7022006
MoodScope: Building a Mood Sensor from Smartphone Usage Patterns
R LiKamWa, Y Liu, ND Lane, L Zhong
11th ACM Conference on Mobile Systems, Applications, and Services (MobiSys ‘13), 2013
6672013
Deepx: A software accelerator for low-power deep learning inference on mobile devices
ND Lane, S Bhattacharya, P Georgiev, C Forlivesi, L Jiao, L Qendro, ...
2016 15th ACM/IEEE International Conference on Information Processing in …, 2016
6592016
Using smartphones to collect behavioral data in psychological science: Opportunities, practical considerations, and challenges
GM Harari, ND Lane, R Wang, BS Crosier, AT Campbell, SD Gosling
Perspectives on Psychological Science 11 (6), 838-854, 2016
6142016
BeWell: A Smartphone Application to Monitor, Model and Promote Wellbeing
ND Lane, M Mohammod, M Lin, X Yang, H Lu, S Ali, A Doryab, E Berke, ...
5712011
Unobtrusive Sleep Monitoring using Smartphones
Z Chen, M Lin, F Chen, ND Lane, G Cardone, R Wang, T Li, Y Chen, ...
Pervasive Health 2013, 2013
4422013
Deepear: robust smartphone audio sensing in unconstrained acoustic environments using deep learning
ND Lane, P Georgiev, L Qendro
Proceedings of the 2015 ACM international joint conference on pervasive and …, 2015
4242015
Urban sensing systems: opportunistic or participatory?
ND Lane, SB Eisenman, M Musolesi, E Miluzzo, AT Campbell
Proceedings of the 9th workshop on Mobile computing systems and applications …, 2008
4082008
Automatically characterizing places with opportunistic crowdsensing using smartphones
Y Chon, ND Lane, F Li, H Cha, F Zhao
Proceedings of the 2012 ACM conference on ubiquitous computing, 481-490, 2012
3572012
Can Deep Learning Revolutionize Mobile Sensing?
ND Lane, P Georgiev
HotMobile 2015, 2015
3532015
CenceMe–injecting sensing presence into social networking applications
E Miluzzo, ND Lane, SB Eisenman, AT Campbell
Smart Sensing and Context: Second European Conference, EuroSSC 2007, Kendal …, 2007
3342007
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
3142018
Zero-cost proxies for lightweight nas
MS Abdelfattah, A Mehrotra, Ł Dudziak, ND Lane
arXiv preprint arXiv:2101.08134, 2021
3122021
The system can't perform the operation now. Try again later.
Articles 1–20