Marios Daoutis
Marios Daoutis
Senior Researcher in Artificial Intelligence at Ericsson Research
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Grounding commonsense knowledge in intelligent systems
M Daoutis, S Coradeshi, A Loutfi
Journal of Ambient Intelligence and Smart Environments 1 (4), 311-321, 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
Computer vision in medical imaging
C Chen
World scientific, 2013
Cooperative Knowledge Based Perceptual Anchoring
M Daoutis, S Coradeschi, A Loutfi
International Journal on Artificial Intelligence Tools 21 (3), 44, 2012
Knowledge Based Perceptual Anchoring: Grounding percepts to concepts in cognitive robots
M Daoutis
Örebro University, 2013
Developing a supervised training algorithm for limited precision feed-forward spiking neural networks
E Stromatias
arXiv preprint arXiv:1109.2788, 2011
Unsupervised key-phrase extraction and clustering for classification scheme in scientific publications
X Li, M Daoutis
arXiv preprint arXiv:2101.09990, 2021
Towards concept anchoring for cognitive robots
M Daoutis, S Coradeschi, A Loutfi
Intelligent Service Robotics 5 (4), 213-228, 2012
Scalability and robustness of artificial neural networks
E Stromatias
PQDT-UK & Ireland, 2016
Towards a Model for Grounding Semantic Composition
M Daoutis, N Mavridis
AISB50 The 50th annual convention of the AISB, 2014
Intelligent Environments 2009: Proceedings of the 5th International Conference on Intelligent Environments, Barcelona 2009
V Callaghan
IOS Press, 2009
Integrating common sense in physically embedded intelligent systems
M Daoutis
Intelligent Environments 2009: Proceedings of the 5th International …, 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
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
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
An introduction to machine reasoning in networks
M Orlić, M Daoutis, S Singh
Ericsson Blog, 2019
Simulation of biological tissue using mass-spring-damper models
E Eriksson
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
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
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
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