Ella Peltonen
Ella Peltonen
Vahvistettu sähköpostiosoite verkkotunnuksessa oulu.fi - Kotisivu
EdgeAI: A Vision for Distributed, Edge-native Artificial Intelligence in Future 6G Networks
L Lauri LovéLovén, E Peltonen, T Leppänen, J Partala, E Harjula, ...
6G Wireless Summit, 2019
Energy Modeling of System Settings: A Crowdsourced Approach
E Peltonen, E Lagerspetz, P Nurmi, S Tarkoma
Pervasive Computing and Communications (PerCom), 2015 IEEE International …, 2015
6G white paper on edge intelligence
E Peltonen, M Bennis, M Capobianco, M Debbah, A Ding, F Gil-Castiñeira, ...
arXiv preprint arXiv:2004.14850, 2020
The hidden image of mobile apps: geographic, demographic, and cultural factors in mobile usage
E Peltonen, E Lagerspetz, J Hamberg, A Mehrotra, M Musolesi, P Nurmi, ...
Proceedings of the 20th International Conference on Human-Computer …, 2018
Constella: Crowdsourced system setting recommendations for mobile devices
E Peltonen, E Lagerspetz, P Nurmi, S Tarkoma
Pervasive and Mobile Computing 26, 71-90, 2016
Exploiting usage to predict instantaneous app popularity: Trend filters and retention rates
S Sigg, E Lagerspetz, E Peltonen, P Nurmi, S Tarkoma
ACM Transactions on the Web (TWEB) 13 (2), 1-25, 2019
Where has my battery gone?: A novel crowdsourced solution for characterizing energy consumption
E Peltonen, E Lagerspetz, P Nurmi, S Tarkoma
IEEE Pervasive Computing 15 (1), 6-9, 2016
Hot or not? robust and accurate continuous thermal imaging on flir cameras
T Malmivirta, J Hamberg, E Lagerspetz, X Li, E Peltonen, H Flores, ...
2019 IEEE International Conference on Pervasive Computing and Communications …, 2019
Mobile road weather sensor calibration by sensor fusion and linear mixed models
L Lovén, V Karsisto, H Järvinen, MJ Sillanpää, T Leppänen, E Peltonen, ...
PloS one 14 (2), e0211702, 2019
Sovereignty of the apps: there's more to relevance than downloads
S Sigg, E Lagerspetz, E Peltonen, P Nurmi, S Tarkoma
arXiv preprint arXiv:1611.10161, 2016
When phones get personal: Predicting Big Five personality traits from application usage
E Peltonen, P Sharmila, KO Asare, A Visuri, E Lagerspetz, D Ferreira
Pervasive and Mobile Computing 69, 101269, 2020
Scaling up an edge server deployment
L Lovén, T Lähderanta, L Ruha, T Leppänen, E Peltonen, J Riekki, ...
2020 IEEE International Conference on Pervasive Computing and Communications …, 2020
Edge-based microservices architecture for Internet of Things: Mobility analysis case study
T Leppanen, C Savaglio, L Lovén, T Jarvenpaa, R Ehsani, E Peltonen, ...
2019 IEEE Global Communications Conference (GLOBECOM), 1-7, 2019
Internet of things for smart spaces: A university campus case study
E Gilman, S Tamminen, R Yasmin, E Ristimella, E Peltonen, M Harju, ...
Sensors 20 (13), 3716, 2020
Towards EDISON: An edge-native approach to distributed interpolation of environmental data
L Lovén, E Peltonen, A Pandya, T Leppanen, E Gilman, S Pirttikangas, ...
2019 28th International Conference on Computer Communication and Networks …, 2019
Understanding smartwatch battery utilization in the wild
M Homayounfar, A Malekijoo, A Visuri, C Dobbins, E Peltonen, E Pinsky, ...
Sensors 20 (13), 3784, 2020
EdgeAI: A Vision for Privacy-preserving Machine Learning on the Edge
E Peltonen, L Lovén
The 10th Nordic Workshop on System and Network Optimization for Wireless (SNOW), 2019
EdgeAI: Edge-native Distributed Platform for Artificial Intelligence
E Peltonen, T Leppänen, L Lovén
6G Wireless Summit, 2019
Too Big to Mail: On the Way to Publish Large-scale Mobile Analytics Data
E Peltonen, E Lagerspetz, P Nurmi, S Tarkoma
Open Science in Big Data Workshop, IEEE Big Data 2016, 2016
Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis: exploratory study
KO Asare, Y Terhorst, J Vega, E Peltonen, E Lagerspetz, D Ferreira
JMIR mHealth and uHealth 9 (7), e26540, 2021
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Artikkelit 1–20