Cikkek nyilvánosan hozzáférhető megbízással - Nicholas LaneTovábbi információ
Valahol hozzáférhető: 38
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
Megbízások: US National Science Foundation, US National Institutes of Health
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
Megbízások: European Commission
A hybrid deep learning architecture for privacy-preserving mobile analytics
SA Osia, AS Shamsabadi, S Sajadmanesh, A Taheri, K Katevas, ...
IEEE Internet of Things Journal 7 (5), 4505-4518, 2020
Megbízások: UK Engineering and Physical Sciences Research Council
μnas: Constrained neural architecture search for microcontrollers
E Liberis, Ł Dudziak, ND Lane
Proceedings of the 1st Workshop on Machine Learning and Systems, 70-79, 2021
Megbízások: UK Engineering and Physical Sciences Research Council, European Commission
An empirical study of binary neural networks' optimisation
M Alizadeh, J Fernández-Marqués, ND Lane, Y Gal
International conference on learning representations, 2018
Megbízások: UK Engineering and Physical Sciences Research Council
Gain without pain: Accurate WiFi-based localization using fingerprint spatial gradient
C Wu, J Xu, Z Yang, ND Lane, Z Yin
Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2017
Megbízások: National Natural Science Foundation of China
The final frontier: Deep learning in space
V Kothari, E Liberis, ND Lane
Proceedings of the 21st international workshop on mobile computing systems …, 2020
Megbízások: UK Engineering and Physical Sciences Research Council
A first look into the carbon footprint of federated learning
X Qiu, T Parcollet, J Fernandez-Marques, PPB Gusmao, Y Gao, DJ Beutel, ...
Journal of Machine Learning Research 24 (129), 1-23, 2023
Megbízások: UK Engineering and Physical Sciences Research Council, European Commission
Federated benchmarking of medical artificial intelligence with MedPerf
A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ...
Nature machine intelligence 5 (7), 799-810, 2023
Megbízások: US Department of Energy, US National Institutes of Health, Helmholtz …
ContextSense: unobtrusive discovery of incremental social context using dynamic bluetooth data
Z Chen, Y Chen, L Hu, S Wang, X Jiang, X Ma, ND Lane, AT Campbell
Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014
Megbízások: National Natural Science Foundation of China
Predicting patient outcomes with graph representation learning
C Tong, E Rocheteau, P Veličković, N Lane, P Liò
International Workshop on Health Intelligence, 281-293, 2021
Megbízások: UK Engineering and Physical Sciences Research Council
Adaptable butterfly accelerator for attention-based NNs via hardware and algorithm co-design
H Fan, T Chau, SI Venieris, R Lee, A Kouris, W Luk, ND Lane, ...
2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 599-615, 2022
Megbízások: UK Engineering and Physical Sciences Research Council
Learning temporal and bodily attention in protective movement behavior detection
C Wang, M Peng, TA Olugbade, ND Lane, ACDC Williams, ...
2019 8th International Conference on Affective Computing and Intelligent …, 2019
Megbízások: European Commission
Emopain challenge 2020: Multimodal pain evaluation from facial and bodily expressions
JO Egede, S Song, TA Olugbade, C Wang, CDC Amanda, H Meng, ...
2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020
Megbízások: UK Engineering and Physical Sciences Research Council, National Institute …
Unobtrusive sensing incremental social contexts using fuzzy class incremental learning
Z Chen, Y Chen, X Gao, S Wang, L Hu, CC Yan, ND Lane, C Miao
2015 IEEE International Conference on Data Mining, 71-80, 2015
Megbízások: National Natural Science Foundation of China
Are accelerometers for activity recognition a dead-end?
C Tong, SA Tailor, ND Lane
Proceedings of the 21st international workshop on mobile computing systems …, 2020
Megbízások: UK Engineering and Physical Sciences Research Council
Cost-aware Compressive Sensing for Networked Sensing Systems
L Xu, X Hao, N Lane, X Liu, T Moscibroda
IPSN 2015, 2015
Megbízások: National Natural Science Foundation of China
Leveraging activity recognition to enable protective behavior detection in continuous data
C Wang, Y Gao, A Mathur, AC De C. Williams, ND Lane, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021
Megbízások: European Commission
Zero-shot learning for imu-based activity recognition using video embeddings
C Tong, J Ge, ND Lane
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021
Megbízások: UK Engineering and Physical Sciences Research Council
Secure aggregation for federated learning in flower
KH Li, PPB de Gusmão, DJ Beutel, ND Lane
Proceedings of the 2nd ACM International Workshop on Distributed Machine …, 2021
Megbízások: UK Engineering and Physical Sciences Research Council, European Commission
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