| Grounding commonsense knowledge in intelligent systems M Daoutis, S Coradeshi, A Loutfi Journal of Ambient Intelligence and Smart Environments 1 (4), 311-321, 2009 | 47 | 2009 |
| Using knowledge representation for perceptual anchoring in a robotic system A Loutfi, S Coradeschi, M Daoutis, J Melchert International Journal on Artificial Intelligence Tools 17 (05), 925-944, 2008 | 38 | 2008 |
| Computer vision in medical imaging C Chen World scientific, 2013 | 27 | 2013 |
| Cooperative Knowledge Based Perceptual Anchoring M Daoutis, S Coradeschi, A Loutfi International Journal on Artificial Intelligence Tools 21 (3), 44, 2012 | 23 | 2012 |
| Knowledge Based Perceptual Anchoring: Grounding percepts to concepts in cognitive robots M Daoutis Örebro University, 2013 | 15 | 2013 |
| Developing a supervised training algorithm for limited precision feed-forward spiking neural networks E Stromatias arXiv preprint arXiv:1109.2788, 2011 | 11 | 2011 |
| Unsupervised key-phrase extraction and clustering for classification scheme in scientific publications X Li, M Daoutis arXiv preprint arXiv:2101.09990, 2021 | 7 | 2021 |
| Towards concept anchoring for cognitive robots M Daoutis, S Coradeschi, A Loutfi Intelligent Service Robotics 5 (4), 213-228, 2012 | 7 | 2012 |
| Scalability and robustness of artificial neural networks E Stromatias PQDT-UK & Ireland, 2016 | 6 | 2016 |
| Towards a Model for Grounding Semantic Composition M Daoutis, N Mavridis AISB50 The 50th annual convention of the AISB, 2014 | 6 | 2014 |
| Intelligent Environments 2009: Proceedings of the 5th International Conference on Intelligent Environments, Barcelona 2009 V Callaghan IOS Press, 2009 | 6 | 2009 |
| Integrating common sense in physically embedded intelligent systems M Daoutis Intelligent Environments 2009: Proceedings of the 5th International …, 2009 | 4* | 2009 |
| Resilience analysis of distributed wireless spiking neural networks T Borsos, M Condoluci, M Daoutis, P Hága, A Veres 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2375-2380, 2022 | 3 | 2022 |
| Predicting Buffer Status Report (BSR) for 6G Scheduling using Machine Learning Models Q Zhang, A Nikou, M Daoutis 2022 IEEE Wireless Communications and Networking Conference (WCNC), 632-637, 2022 | 3 | 2022 |
| Intent-driven strategic tactical planning for autonomous site inspection using cooperative drones D Buksz, A Mujumdar, M Orlić, S Mohalik, M Daoutis, R Badrinath, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 2 | 2020 |
| An introduction to machine reasoning in networks M Orlić, M Daoutis, S Singh Ericsson Blog, 2019 | 2 | 2019 |
| Simulation of biological tissue using mass-spring-damper models E Eriksson | 2 | 2013 |
| Knowledge representation for anchoring symbolic concepts to perceptual data M Daoutis, A Loutfi, S Coradeschi Bridges between the methodological and practical work of the robotics and …, 2012 | 2 | 2012 |
| The Fifth International Conference on Intelligent Environments (IE 09): A Report V Callaghan, A Kameas, D Royo, A Reyes, L Navarro AI magazine 30 (4), 117-117, 2009 | 2 | 2009 |
| Open World Learning Graph Convolution for Latency Estimation in Routing Networks Y Jin, M Daoutis, S Girdzijauskas, A Gionis 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 1 | 2022 |
Amy LoutfiProfessor Computer Science, AASS Machine Perception and Interaction Lab, Örebro UniversityBestätigte E-Mail-Adresse bei oru.se
