| Traffic light control using deep policy-gradient and value-function-based reinforcement learning SS Mousavi, M Schukat, E Howley IET Intelligent Transport Systems 11 (7), 417-423, 2017 | 135 | 2017 |
| Security and privacy in Internet of things (IoTs): Models, Algorithms, and Implementations F Hu CRC Press, 2016 | 79 | 2016 |
| Deep reinforcement learning: an overview SS Mousavi, M Schukat, E Howley Proceedings of SAI Intelligent Systems Conference, 426-440, 2016 | 78 | 2016 |
| A ZigBee honeypot to assess IoT cyberattack behaviour S Dowling, M Schukat, H Melvin 2017 28th Irish Signals and Systems Conference (ISSC), 1-6, 2017 | 49 | 2017 |
| Classification of ECG arrhythmia using learning vector quantization neural networks AM Elsayad 2009 International Conference on Computer Engineering & Systems, 139-144, 2009 | 33 | 2009 |
| Arrhythmia identification from ECG signals with a neural network classifier based on a Bayesian framework D Gao, M Madden, M Schukat, D Chambers, G Lyons Proceedings of the 24th SGAI International Conference on Innovative …, 2004 | 31 | 2004 |
| Arrhythmia identification from ECG signals with a neural network classifier based on a Bayesian framework D Gao, M Madden, M Schukat, D Chambers, G Lyons Proceedings of the 24th SGAI International Conference on Innovative …, 2004 | 31 | 2004 |
| Portable medical monitoring and diagnostic system D Chambers, G Lyons, M Madden, M Schukat US Patent App. 11/658,629, 2009 | 30 | 2009 |
| Authentication using virtual certificate authorities: A new security paradigm for wireless sensor networks E Holohan, M Schukat 2010 Ninth IEEE International Symposium on Network Computing and …, 2010 | 29 | 2010 |
| Unintended consequences of wearable sensor use in healthcare: Contribution of the IMIA wearable sensors in healthcare WG M Schukat, D McCaldin, K Wang, G Schreier, NH Lovell, M Marschollek, ... Yearbook of medical informatics, 73, 2016 | 26 | 2016 |
| Public key infrastructures and digital certificates for the Internet of things M Schukat, P Cortijo 2015 26th Irish signals and systems conference (ISSC), 1-5, 2015 | 24 | 2015 |
| Learning to predict where to look in interactive environments using deep recurrent q-learning S Mousavi, M Schukat, E Howley, A Borji, N Mozayani arXiv preprint arXiv:1612.05753, 2016 | 22 | 2016 |
| Peer to peer authentication for small embedded systems: A zero-knowledge-based approach to security for the Internet of Things P Flood, M Schukat The 10th International Conference on Digital Technologies 2014, 68-72, 2014 | 19 | 2014 |
| Securing can bus communication: An analysis of cryptographic approaches JA Bruton M. Sc., National University of Ireland, Galway, 2014 | 15 | 2014 |
| Applying q (λ)-learning in deep reinforcement learning to play atari games SS Mousavi, M Schukat, E Howley, P Mannion AAMAS Adaptive Learning Agents (ALA) Workshop, 2017 | 10 | 2017 |
| Analysis of malicious behaviors in peer-to-peer trust model. ZH Yu Jisuanji Gongcheng yu Yingyong(Computer Engineering and Applications) 43 (13 …, 2007 | 10 | 2007 |
| Improving adaptive honeypot functionality with efficient reinforcement learning parameters for automated malware S Dowling, M Schukat, E Barrett Journal of Cyber Security Technology 2 (2), 75-91, 2018 | 9 | 2018 |
| Collaborative exploration for a group of self-interested robots D O'Beirne, M Schukat The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 184-191, 2005 | 9 | 2005 |
| An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things MS Miah, M Schukat, E Barrett Human-centric Computing and Information Sciences 8 (1), 16, 2018 | 8 | 2018 |
| Using analysis of temporal variances within a honeypot dataset to better predict attack type probability S Dowling, M Schukat, H Melvin 2017 12th International Conference for Internet Technology and Secured …, 2017 | 8 | 2017 |
Enda HowleyNational University of Ireland GalwayEmail verificata su nuigalway.ie
