| 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 | 117 | 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 | 67 | 2017 |
| Deep private-feature extraction SA Osia, A Taheri, AS Shamsabadi, K Katevas, H Haddadi, HRR Rabiee IEEE Transactions on Knowledge and Data Engineering, 2018 | 36 | 2018 |
| Robot Comedy Lab: experimenting with the social dynamics of live performance K Katevas, PGT Healey, MT Harris Frontiers in psychology 6, 1253, 2015 | 36 | 2015 |
| 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 | 35 | 2014 |
| 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 | 33 | 2016 |
| 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 | 17 | 2018 |
| Robot Stand-up: Engineering a Comic Performance K Katevas, PGT Healey, MT Harris IEEE-RAS International Conference on Humanoid Robots (Humanoids 2014 …, 2014 | 17 | 2014 |
| 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 | 11 | 2017 |
| Darknetz: towards model privacy at the edge using trusted execution environments F Mo, AS Shamsabadi, K Katevas, S Demetriou, I Leontiadis, A Cavallaro, ... Proceedings of the 18th International Conference on Mobile Systems …, 2020 | 8 | 2020 |
| 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 5 (6), 2017 | 8 | 2017 |
| 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 | 7 | 2017 |
| Walking in Sync: Two is Company, Three’s a Crowd K Katevas, H Haddadi, L Tokarchuk, RG Clegg | 7 | 2015 |
| 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 | 6 | 2016 |
| 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 Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor …, 2019 | 4 | 2019 |
| 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 | 4 | 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 | 3 | 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 | 2 | 2019 |
| 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 | 2 | 2017 |
| FLaaS: Federated Learning as a Service N Kourtellis, K Katevas, D Perino Proceedings of the 1st Workshop on Distributed Machine Learning, 7-13, 2020 | 1 | 2020 |
Hamed HaddadiImperial College LondonVerified email at imperial.ac.uk
