| Multimodal Deep Learning for Activity and Context Recognition V Radu, C Tong, S Bhattacharya, ND Lane, C Mascolo, MK Marina, ... Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 1 (4), 157, 2018 | 323 | 2018 |
| Towards Multimodal Deep Learning for Activity Recognition on Mobile Devices V Radu, ND Lane, S Bhattacharya, C Mascolo, MK Marina, F Kawsar Proceedings of ACM Conference on Pervasive and Ubiquitous Computing (UbiComp …, 2016 | 174 | 2016 |
| A Semi-supervised Learning Approach for Robust Indoor-outdoor Detection with Smartphones V Radu, P Katsikouli, R Sarkar, MK Marina Proceedings of the ACM Conference on Embedded Network Sensor Systems (SenSys …, 2014 | 173 | 2014 |
| HiMLoc: Indoor Smartphone Localization via Activity Aware Pedestrian Dead Reckoning with Selective Crowdsourced WiFi Fingerprinting V Radu, MK Marina Proceedings of the IEEE Conference on Indoor Positioning and Indoor …, 2013 | 148 | 2013 |
| MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging across Sensing Devices D Strömbäck, S Huang, V Radu Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 4 (4), 1-22, 2020 | 69 | 2020 |
| Pazl: A Mobile Crowdsensing Based Indoor WiFi Monitoring System V Radu, L Kriara, MK Marina Proceedings of the 9th IEEE Conference on Network and Service Management …, 2013 | 60 | 2013 |
| Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks J Turner, J Cano, V Radu, EJ Crowley, M O’Boyle, A Storkey IEEE International Symposium on Workload Characterization (IISWC), 101-110, 2018 | 59 | 2018 |
| Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs V Radu, K Kaszyk, Y Wen, J Turner, J Cano, EJ Crowley, B Franke, ... IEEE International Symposium on Workload Characterization (IISWC), 2019 | 49 | 2019 |
| Multilayered lipid membrane stacks for biocatalysis using membrane enzymes GR Heath, M Li, H Rong, V Radu, S Frielingsdorf, O Lenz, JN Butt, ... Advanced functional materials 27 (17), 1606265, 2017 | 43 | 2017 |
| Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition V Radu, M Henne Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 3 (3), 84, 2019 | 29 | 2019 |
| Impact of Indoor-outdoor Context on Crowdsourcing Based Mobile Coverage Analysis MK Marina, V Radu, K Balampekos Proceedings of the ACM Workshop on All Things Cellular: Operations …, 2015 | 28 | 2015 |
| CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras A Cosma, IE Radoi, V Radu Proceedings of the IEEE Conference on Indoor Positioning and Indoor …, 2019 | 19 | 2019 |
| Localization Systems Repository: A Platform for Open-source Localization Systems and Datasets IE Radoi, D Cirimpei, V Radu 2019 International Conference on Indoor Positioning and Indoor Navigation …, 2019 | 19 | 2019 |
| Automatic generation of specialized direct convolutions for mobile GPUs N Mogers, V Radu, L Li, J Turner, M O'Boyle, C Dubach Proceedings of the 13th Annual Workshop on General Purpose Processing using …, 2020 | 16 | 2020 |
| Poster: Am I indoor or outdoor? V Radu, P Katsikouli, R Sarkar, MK Marina Proceedings of the ACM Conference on Mobile Computing and Networking (MobiCom), 2014 | 15 | 2014 |
| Taso: Time and space optimization for memory-constrained DNN inference Y Wen, A Anderson, V Radu, MFP O'Boyle, D Gregg 2020 IEEE 32nd International Symposium on Computer Architecture and High …, 2020 | 14 | 2020 |
| Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking X Wei, V Radu Proceedings of the International Conference on Indoor Positioning and Indoor …, 2019 | 14 | 2019 |
| Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks X Wei, Z Wei, V Radu Sensors 21 (22), 7488, 2021 | 12 | 2021 |
| Towards federated learning with attention transfer to mitigate system and data heterogeneity of clients H Shi, V Radu Proceedings of the 4th international workshop on edge systems, analytics and …, 2021 | 11 | 2021 |
| Distilling with performance enhanced students J Turner, EJ Crowley, V Radu, J Cano, A Storkey, M O’Boyle arXiv preprint arXiv:1810.10460, 2019 | 10 | 2019 |
Mahesh K. MarinaSchool of Informatics, The University of Edinburgh在 inf.ed.ac.uk 的电子邮件经过验证