Kleomenis Katevas
Kleomenis Katevas
Research Associate, Imperial College London
Verified email at imperial.ac.uk - Homepage
TitleCited byYear
A hybrid deep learning architecture for privacy-preserving mobile analytics
SA Osia, AS Shamsabadi, A Taheri, K Katevas, S Sajadmanesh, ...
arXiv preprint arXiv:1703.02952, 2017
Beyond interruptibility: Predicting opportune moments to engage mobile phone users
M Pielot, B Cardoso, K Katevas, J Serrà, A Matic, N Oliver
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017
Poster: SensingKit – A Multi-Platform Mobile Sensing Framework for Large-Scale Experiments
K Katevas, H Haddadi, L Tokarchuk
Proceedings of the 20th Annual International Conference on Mobile Computing …, 2014
Robot Comedy Lab: experimenting with the social dynamics of live performance
K Katevas, PGT Healey, MT Harris
Frontiers in psychology 6, 1253, 2015
Sensingkit: Evaluating the sensor power consumption in iOS devices
K Katevas, H Haddadi, L Tokarchuk
Intelligent Environments (IE), 2016 12th International Conference on, 222-225, 2016
Robot Stand-up: Engineering a Comic Performance
K Katevas, PGT Healey, MT Harris
IEEE-RAS International Conference on Humanoid Robots (Humanoids 2014 …, 2014
Deep private-feature extraction
SA Osia, A Taheri, AS Shamsabadi, M Katevas, H Haddadi, HRR Rabiee
IEEE Transactions on Knowledge and Data Engineering, 2018
Practical processing of mobile sensor data for continual deep learning predictions
K Katevas, I Leontiadis, M Pielot, J Serrà
Proceedings of the 1st International Workshop on Deep Learning for mobile …, 2017
Walking in Sync: Two is Company, Three’s a Crowd
K Katevas, H Haddadi, L Tokarchuk, RG Clegg
Typical phone use habits: Intense use does not predict negative well-being
K Katevas, I Arapakis, M Pielot
Proceedings of the 20th International Conference on Human-Computer …, 2018
Detecting group formations using iBeacon technology
K Katevas, H Haddadi, L Tokarchuk, RG Clegg
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
Privacy-preserving deep inference for rich user data on the cloud
SA Osia, AS Shamsabadi, A Taheri, K Katevas, HR Rabiee, ND Lane, ...
arXiv preprint arXiv:1710.01727, 2017
Towards characterizing and limiting information exposure in DNN layers
F Mo, AS Shamsabadi, K Katevas, A Cavallaro, H Haddadi
arXiv preprint arXiv:1907.06034, 2019
The potential of wearable technology for monitoring social interactions based on interpersonal synchrony
K Hänsel, K Katevas, G Orgs, DC Richardson, A Alomainy, H Haddadi
Proceedings of the 4th ACM Workshop on Wearable Systems and Applications, 45-47, 2018
BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices
M Varvello, K Katevas, M Plesa, H Haddadi, B Livshits
Proceedings of the 18th ACM Workshop on Hot Topics in Networks, 101-108, 2019
Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing
K Katevas, K Hänsel, R Clegg, I Leontiadis, H Haddadi, L Tokarchuk
arXiv preprint arXiv:1809.00947, 2018
Continual Prediction of Notification Attendance with Classical and Deep Network Approaches
K Katevas, I Leontiadis, M Pielot, J Serrà
arXiv preprint arXiv:1712.07120, 2017
Effective patient–clinician interaction to improve treatment outcomes for patients with psychosis: a mixed-methods design
S Priebe, E Golden, D Kingdon, S Omer, S Walsh, K Katevas, P McCrone, ...
Programme Grants for Applied Research, 2017
BatteryLab, a distributed power monitoring platform for mobile devices: demo abstract
M Varvello, K Katevas, W Hang, M Plesa, H Haddadi, FE Bustamante, ...
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 386-387, 2019
Poster: Towards Characterizing and Limiting Information Exposure in DNN Layers
F Mo, A Shahin Shamsabadi, K Katevas, A Cavallaro, H Haddadi
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019
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