Prof Dr Stefan Wermter - Google Scholar Citations

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Citations	4810	2272
h-index	35	24
i10-index	125	63

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Co-authors

Cornelius WeberUniversität HamburgVerified email at informatik.uni-hamburg.de
Pablo BarrosResearcher, Italian Institute of TechnologyVerified email at iit.it
German I. ParisiApprente, Mountain View, CA, USA - Universität Hamburg, GermanyVerified email at informatik.uni-hamburg.de
Mark ElshawCoventry UniversityVerified email at coventry.ac.uk
Stefan HeinrichPostdoc Research and Teaching AssociateVerified email at informatik.uni-hamburg.de
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
Jindong LiuHamlyn Centre, Imperial College LondonVerified email at imperial.ac.uk
Francisco CruzDeakin UniversityVerified email at deakin.edu.au
John C. MurrayProfessor of Robotics and Autonomous Systems, University of HullVerified email at hull.ac.uk
Egor LakomkinUniversity of HamburgVerified email at informatik.uni-hamburg.de
Ron SunRPIVerified email at rpi.edu
Mohammad Ali ZamaniUniversity of HamburgVerified email at informatik.uni-hamburg.de
Sheila GarfieldUniversity of SunderlandVerified email at sunderland.ac.uk
Wenjie YanUniversity of Hamburg Department Informatics Knowledge Technology, WTMVerified email at informatik.uni-hamburg.de
Tobias HinzResearch Associate, University of HamburgVerified email at informatik.uni-hamburg.de
Sascha GriffithsOrtelio LtdVerified email at ortelio.co.uk
Manfred EppeUniversity of Hamburg, GermanyVerified email at informatik.uni-hamburg.de

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


Title	Cited by	Year
Hybrid neural systems S Wermter, S Ron Springer, 2000	205	2000
Continual lifelong learning with neural networks: A review GI Parisi, R Kemker, JL Part, C Kanan, S Wermter Neural Networks, 2019	156	2019
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	133	1999
Hybrid connectionist natural language processing S Wermter Chapman & Hall, 1995	106	1995
Connectionist, statistical and symbolic approaches to learning for natural language processing S Wermter, E Riloff, G Scheler Springer, 1996	92	1996
Neural network agents for learning semantic text classification S Wermter Information Retrieval 3 (2), 87-103, 2000	79	2000
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	78	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	74	2015
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
An overview of hybrid neural systems S Wermter, R Sun International Workshop on Hybrid Neural Systems, 1-13, 1998	72	1998
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	71	1997
Robot docking with neural vision and reinforcement C Weber, S Wermter, A Zochios International Conference on Innovative Techniques and Applications of …, 2003	69	2003
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	64	2014
Hybrid neural document clustering using guided self-organization and wordnet C Hung, S Wermter, P Smith IEEE Intelligent Systems 19 (2), 68-77, 2004	63	2004
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	60	2009
Developing crossmodal expression recognition based on a deep neural model P Barros, S Wermter Adaptive behavior 24 (5), 373-396, 2016	59	2016
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	57	2017
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	57	2014
Towards multimodal neural robot learning S Wermter, C Weber, M Elshaw, C Panchev, H Erwin, F Pulvermüller Robotics and Autonomous Systems 47 (2-3), 171-175, 2004	56	2004
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	53	2015

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