Prof Dr Stefan Wermter - Google Scholar Citations

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Citations	5425	2914
h-index	38	27
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Cornelius WeberUniversität HamburgVerified email at informatik.uni-hamburg.de
Pablo BarrosResearcher, Italian Institute of TechnologyVerified email at iit.it
German I. ParisiContinualAI | Universität Hamburg, Germany | McD Tech Labs, Mountain View, CAVerified email at informatik.uni-hamburg.de
Mark ElshawCoventry UniversityVerified email at coventry.ac.uk
Stefan HeinrichIRCN, The University of TokyoVerified email at mail.u-tokyo.ac.jp
Christo PanchevSenior Lecturer, Coventry University, UKVerified email at coventry.ac.uk
Ken McGarryAssociate Professor, School of Computer Science, University of SunderlandVerified email at sunderland.ac.uk
Johannes TwiefelResearch Associate at Knowledge Technology Group, Dept. Computer Science, University of HamburgVerified email at informatik.uni-hamburg.de
Nicolás Navarro-GuerreroAssistant Professor at Aarhus University, DenmarkVerified email at eng.au.dk
Francisco CruzDeakin UniversityVerified email at deakin.edu.au
Jindong LiuHamlyn Centre, Imperial College LondonVerified email at imperial.ac.uk
Egor LakomkinUniversity of HamburgVerified email at informatik.uni-hamburg.de
John C. MurrayProfessor of Robotics and Autonomous Systems, University of HullVerified email at hull.ac.uk
Tobias HinzResearch Associate, University of HamburgVerified email at informatik.uni-hamburg.de
Manfred EppeUniversity of Hamburg, GermanyVerified email at informatik.uni-hamburg.de
Mohammad Ali ZamaniUniversity of HamburgVerified email at informatik.uni-hamburg.de
Sascha GriffithsOrtelio LtdVerified email at ortelio.co.uk
Wenjie YanUniversity of Hamburg Department Informatics Knowledge Technology, WTMVerified email at informatik.uni-hamburg.de
Ron SunRPIVerified email at rpi.edu
Sheila GarfieldUniversity of SunderlandVerified email at sunderland.ac.uk

Prof Dr Stefan Wermter

University of Hamburg

Verified email at informatik.uni-hamburg.de - Homepage

Neural Networks Artificial Intelligence Hybrid Knowledge Processing Neurocognitive Robotics Machine Learning


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Continual lifelong learning with neural networks: A review GI Parisi, R Kemker, JL Part, C Kanan, S Wermter Neural Networks 113, 54-71, 2019	331	2019
Hybrid neural systems S Wermter, S Ron Springer, 2000	250*	2000
An overview of hybrid neural systems S Wermter, R Sun International Workshop on Hybrid Neural Systems, 1-13, 1998	250	1998
Hybrid neural systems: from simple coupling to fully integrated neural networks K McGarry, S Wermter, J MacIntyre Neural Computing Surveys 2 (1), 62-93, 1999	138	1999
Hybrid connectionist natural language processing S Wermter Chapman & Hall, 1995	105	1995
Connectionist, statistical and symbolic approaches to learning for natural language processing S Wermter, E Riloff, G Scheler Springer, 1996	93	1996
Data mining using rule extraction from Kohonen self-organising maps J Malone, K McGarry, S Wermter, C Bowerman Neural Computing & Applications 15 (1), 9-17, 2006	83	2006
Self-organizing neural integration of pose-motion features for human action recognition GI Parisi, C Weber, S Wermter Frontiers in neurorobotics 9, 3, 2015	81	2015
An analysis of convolutional long short-term memory recurrent neural networks for gesture recognition E Tsironi, P Barros, C Weber, S Wermter Neurocomputing 268, 76-86, 2017	80	2017
Neural network agents for learning semantic text classification S Wermter Information Retrieval 3 (2), 87-103, 2000	78	2000
Socially assistive robots: a comprehensive approach to extending independent living DO Johnson, RH Cuijpers, JF Juola, E Torta, M Simonov, A Frisiello, ... International journal of social robotics 6 (2), 195-211, 2014	75	2014
Robotics sound-source localization and tracking using interaural time difference and cross-correlation JC Murray, H Erwin, S Wermter AI Workshop on NeuroBotics, 2004	74	2004
Robot docking with neural vision and reinforcement C Weber, S Wermter, A Zochios International Conference on Innovative Techniques and Applications of …, 2003	69	2003
Developing crossmodal expression recognition based on a deep neural model P Barros, S Wermter Adaptive behavior 24 (5), 373-396, 2016	67	2016
Hybrid neural document clustering using guided self-organization and wordnet C Hung, S Wermter, P Smith IEEE Intelligent Systems 19 (2), 68-77, 2004	66	2004
SCREEN: Learning a flat syntactic and semantic spoken language analysis using artificial neural networks S Wermter, V Weber Journal of Artificial Intelligence Research 6, 35-85, 1997	66	1997
A multichannel convolutional neural network for hand posture recognition P Barros, S Magg, C Weber, S Wermter International Conference on Artificial Neural Networks, 403-410, 2014	62	2014
Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks JC Murray, HR Erwin, S Wermter Neural Networks 22 (2), 173-189, 2009	62	2009
Knowledge extraction from radial basis function networks and multilayer perceptrons KJ McGarry, S Wermter, J MacIntyre IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999	61	1999
Face expression recognition with a 2-channel convolutional neural network D Hamester, P Barros, S Wermter 2015 international joint conference on neural networks (IJCNN), 1-8, 2015	60	2015

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