| 2012 | ||
|---|---|---|
| 104 | Nandita Tripathi, Michael P. Oakes, Stefan Wermter: A Fast Subspace Text Categorization Method Using Parallel Classifiers. CICLing (2) 2012: 132-143 | |
| 103 | Jens Kleesiek, Stephanie Badde, Stefan Wermter, Andreas K. Engel: What do Objects Feel Like? - Active Perception for a Humanoid Robot. ICAART (1) 2012: 64-73 | |
| 2011 | ||
| 102 | Nandita Tripathi, Michael P. Oakes, Stefan Wermter: Hybrid classifiers for improved semantic subspace learning of news documents. HIS 2011: 28-33 | |
| 101 | Stefan Heinrich, Markus Eberling, Stefan Wermter: Determining Cooperation in Multiagent Systems with Cultural Traits. ICAART (2) 2011: 173-180 | |
| 100 | Junpei Zhong, Cornelius Weber, Stefan Wermter: Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model. ICANN (2) 2011: 333-340 | |
| 99 | Wenjie Yan, Cornelius Weber, Stefan Wermter: Person Tracking Based on a Hybrid Neural Probabilistic Model. ICANN (2) 2011: 365-372 | |
| 98 | Nandita Tripathi, Michael P. Oakes, Stefan Wermter: Hybrid Parallel Classifiers for Semantic Subspace Learning. ICANN (2) 2011: 64-70 | |
| 97 | Nicolás Navarro, Cornelius Weber, Stefan Wermter: Real-World Reinforcement Learning for Autonomous Humanoid Robot Charging in a Home Environment. TAROS 2011: 231-240 | |
| 96 | Nandita Tripathi, Michael P. Oakes, Stefan Wermter: Semantic subspace learning for text classification using hybrid intelligent techniques. Int. J. Hybrid Intell. Syst. 8(2): 99-114 (2011) | |
| 95 | Wenjie Yan, Cornelius Weber, Stefan Wermter: A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera. JAISE 3(3): 237-252 (2011) | |
| 2010 | ||
| 94 | Chi-Yung Yau, Kevin Burn, Stefan Wermter: Configuring the stochastic Helmholtz machine for subcortical emotional learning. IJCNN 2010: 1-8 | |
| 93 | Nandita Tripathi, Stefan Wermter, Chihli Hung, Michael P. Oakes: Semantic Subspace Learning with conditional significance vectors. IJCNN 2010: 1-8 | |
| 92 | Michael Knowles, David Baglee, Stefan Wermter: Reinforcement Learning for Scheduling of Maintenance. SGAI Conf. 2010: 409-422 | |
| 91 | Jindong Liu, David Perez-Gonzalez, Adrian Rees, Harry R. Erwin, Stefan Wermter: A biologically inspired spiking neural network model of the auditory midbrain for sound source localisation. Neurocomputing 74(1-3): 129-139 (2010) | |
| 2009 | ||
| 90 | Jindong Liu, David Perez-Gonzalez, Adrian Rees, Harry R. Erwin, Stefan Wermter: Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain. ICANN (1) 2009: 208-217 | |
| 89 | Jindong Liu, David Perez-Gonzalez, Adrian Rees, Harry R. Erwin, Stefan Wermter: A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments. IJCNN 2009: 1855-1862 | |
| 88 | Kiran Ravulakollu, Michael Knowles, Jindong Liu, Stefan Wermter: Towards Computational Modelling of Neural Multimodal Integration Based on the Superior Colliculus Concept. Innovations in Neural Information Paradigms and Applications 2009: 269-291 | |
| 87 | David Muse, Stefan Wermter: Actor-Critic Learning for Platform-Independent Robot Navigation. Cognitive Computation 1(3): 203-220 (2009) | |
| 86 | Richa Yadav, Stefan Wermter: Social Cognition, Marilynn B. Brewer, Miles J. Hewstone (Eds.); Blackwell Publishing, 2004, 368 pages. Cognitive Systems Research 10(2): 172-174 (2009) | |
| 85 | Stefan Wermter, Renato Cordeiro de Amorim: Elden, L (2007). Matrix Methods in Data Mining and Pattern Recognition. Philadelphia (USA): Society for Industrial and Applied Mathematics. Cognitive Systems Research 10(4): 377-379 (2009) | |
| 84 | Stefan Wermter, M. Page, Michael Knowles, Vittorio Gallese, Friedemann Pulvermüller, J. Taylor: Multimodal communication in animals, humans and robots: An introduction to perspectives in brain-inspired informatics. Neural Networks 22(2): 111-115 (2009) | |
| 83 | John C. Murray, Harry R. Erwin, Stefan Wermter: Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks 22(2): 173-189 (2009) | |
| 2008 | ||
| 82 | Michael John Knowles, Stefan Wermter: The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning. HIS 2008: 404-409 | |
| 81 | John C. Murray, Stefan Wermter, Michael Knowles: MIRA: A Learning Multimodal Interactive Robot Agent. HIS 2008: 947-950 | |
| 80 | Jindong Liu, Harry R. Erwin, Stefan Wermter, Mahmoud Elsaid: A Biologically Inspired Spiking Neural Network for Sound Localisation by the Inferior Colliculus. ICANN (2) 2008: 396-405 | |
| 79 | K. K. Kiran Bhagat, Stefan Wermter, Kevin Burn: Hybrid learning architecture for unobtrusive infrared tracking support. IJCNN 2008: 2703-2709 | |
| 78 | Chi-Yung Yau, Kevin Burn, Stefan Wermter: A neural wake-sleep learning architecture for associating robotic facial emotions. IJCNN 2008: 2715-2721 | |
| 77 | Abdulrahman Altahhan, Kevin Burn, Stefan Wermter: Visual robot homing using Sarsa(lambda), whole image measure, and radial basis function. IJCNN 2008: 3861-3868 | |
| 76 | Jindong Liu, Harry R. Erwin, Stefan Wermter: Mobile robot broadband sound localisation using a biologically inspired spiking neural network. IROS 2008: 2191-2196 | |
| 75 | Nicola Bellotto, Kevin Burn, E. Fletcher, Stefan Wermter: Appearance-based localization for mobile robots using digital zoom and visual compass. Robotics and Autonomous Systems 56(2): 143-156 (2008) | |
| 74 | Chihli Hung, Stefan Wermter: A novel self-organising clustering model for time-event documents. The Electronic Library 26(2): 260-272 (2008) | |
| 2007 | ||
| 73 | Kenneth McGarry, Sheila Garfield, Stefan Wermter: Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks. CBMS 2007: 612-617 | |
| 72 | Kenneth McGarry, Sheila Garfield, Nick Morris, Stefan Wermter: Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery. NeSy 2007 | |
| 71 | Cornelius Weber, Stefan Wermter: A self-organizing map of sigma-pi units. Neurocomputing 70(13-15): 2552-2560 (2007) | |
| 2006 | ||
| 70 | David Muse, Kevin Burn, Stefan Wermter: Reinforcement Learning for Platform-Independent Visual Robot Control. IJCNN 2006: 2459-2466 | |
| 69 | John C. Murray, Stefan Wermter, Harry R. Erwin: Bioinspired Auditory Sound Localisation for Improving the Signal to Noise Ratio of Socially Interactive Robots. IROS 2006: 1206-1211 | |
| 68 | Christo Panchev, Stefan Wermter: Temporal sequence detection with spiking neurons: towards recognizing robot language instructions. Connect. Sci. 18(1): 1-22 (2006) | |
| 67 | Sheila Garfield, Stefan Wermter: Call classification using recurrent neural networks, support vector machines and finite state automata. Knowl. Inf. Syst. 9(2): 131-156 (2006) | |
| 66 | David Muse, Cornelius Weber, Stefan Wermter: Robot docking based on omnidirectional vision and reinforcement learning. Knowl.-Based Syst. 19(5): 324-332 (2006) | |
| 65 | Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter: A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot. Knowl.-Based Syst. 19(5): 348-355 (2006) | |
| 64 | James Malone, Kenneth McGarry, Stefan Wermter, Chris Bowerman: Data mining using rule extraction from Kohonen self-organising maps. Neural Computing and Applications 15(1): 9-17 (2006) | |
| 63 | Cornelius Weber, Stefan Wermter, Mark Elshaw: A hybrid generative and predictive model of the motor cortex. Neural Networks 19(4): 339-353 (2006) | |
| 2005 | ||
| 62 | Stefan Wermter, Günther Palm, Mark Elshaw: Biomimetic Neural Learning for Intelligent Robots - Intelligent Systems, Cognitive Robotics, and Neuroscience Springer 2005 | |
| 61 | Stefan Wermter, Günther Palm, Cornelius Weber, Mark Elshaw: Towards Biomimetic Neural Learning for Intelligent Robots. Biomimetic Neural Learning for Intelligent Robots 2005: 1-18 | |
| 60 | Stefan Wermter, Cornelius Weber, Mark Elshaw, Vittorio Gallese, Friedemann Pulvermüller: Grounding Neural Robot Language in Action. Biomimetic Neural Learning for Intelligent Robots 2005: 162-181 | |
| 59 | John C. Murray, Harry R. Erwin, Stefan Wermter: A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots. Biomimetic Neural Learning for Intelligent Robots 2005: 73-87 | |
| 58 | Kaustubh Chokshi, Stefan Wermter, Christo Panchev, Kevin Burn: Image Invariant Robot Navigation Based on Self Organising Neural Place Codes. Biomimetic Neural Learning for Intelligent Robots 2005: 88-106 | |
| 57 | Stefan Wermter: Hybrid Intelligent Systems and Cognitive Robotics. HIS 2005: 4 | |
| 56 | Cornelius Weber, Konstantinos Karantzis, Stefan Wermter: Grasping with flexible viewing-direction with a learned coordinate transformation network. Humanoids 2005: 253-258 | |
| 55 | Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter: Reinforcement Learning in MirrorBot. ICANN (1) 2005: 305-310 | |
| 54 | Cornelius Weber, Stefan Wermter: Image Segmentation by Complex-Valued Units. ICANN (1) 2005: 519-524 | |
| 53 | Kenneth McGarry, Stefan Wermter: Training without data: Knowledge Insertion into RBF Neural Networks. IJCAI 2005: 792-797 | |
| 52 | John C. Murray, Stefan Wermter, Harry R. Erwin: Auditory robotic tracking of sound sources using hybrid cross-correlation and recurrent networks. IROS 2005: 3554-3559 | |
| 51 | Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter: A Camera-Direction Dependent Visual-Motor Coordinate Transformation for a Visually Guided Neural Robot. SGAI Conf. 2005: 151-164 | |
| 50 | Sheila Garfield, Stefan Wermter, Siobhan Devlin: Spoken language classification using hybrid classifier combination. Int. J. Hybrid Intell. Syst. 2(1): 13-33 (2005) | |
| 2004 | ||
| 49 | Chihli Hung, Stefan Wermter, Peter Smith: Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering. ECIR 2004: 154-166 | |
| 48 | Shaun Cox, Michael P. Oakes, Stefan Wermter, Maurice Hawthorne: AudioMine: Medical Data Mining in Heterogeneous Audiology Records. International Conference on Computational Intelligence 2004: 8-11 | |
| 47 | Chihli Hung, Stefan Wermter, Peter Smith: Hybrid Neural Document Clustering Using Guided Self-Organization and WordNet. IEEE Intelligent Systems 19(2): 68-77 (2004) | |
| 46 | Chihli Hung, Stefan Wermter: Neural Network Based Document Clustering Using WordNet Ontologies. Int. J. Hybrid Intell. Syst. 1(3-4): 127-142 (2004) | |
| 45 | Cornelius Weber, Stefan Wermter, Alexandros Zochios: Robot docking with neural vision and reinforcement. Knowl.-Based Syst. 17(2-4): 165-172 (2004) | |
| 44 | Christo Panchev, Stefan Wermter: Spike-timing-dependent synaptic plasticity: from single spikes to spike trains. Neurocomputing 58-60: 365-371 (2004) | |
| 43 | Stefan Wermter, Cornelius Weber, Mark Elshaw, Christo Panchev, Harry R. Erwin, Friedemann Pulvermüller: Towards multimodal neural robot learning. Robotics and Autonomous Systems 47(2-3): 171-175 (2004) | |
| 2003 | ||
| 42 | Kaustubh Chokshi, Stefan Wermter, Cornelius Weber: Learning Localisation Based on Landmarks Using Self-Organisation. ICANN 2003: 504-514 | |
| 41 | Sheila Garfield, Stefan Wermter: Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances. ICANN 2003: 646-653 | |
| 40 | Cornelius Weber, Stefan Wermter: Object Localisation Using Laterally Connected "What" and "Where" Associator Networks. ICANN 2003: 813-820 | |
| 39 | Chihli Hung, Stefan Wermter: A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering. ICDM 2003: 75-82 | |
| 38 | Stefan Wermter, Mark Elshaw, Simon Farrand: A modular approach to self-organization of robot control based on language instruction. Connect. Sci. 15(2-3): 73-94 (2003) | |
| 37 | Garen Arevian, Stefan Wermter, Christo Panchev: Symbolic state transducers and recurrent neural preference machines for text mining. Int. J. Approx. Reasoning 32(2-3): 237-258 (2003) | |
| 36 | Stefan Wermter, Mark Elshaw: Learning robot actions based on self-organising language memory. Neural Networks 16(5-6): 691-699 (2003) | |
| 2002 | ||
| 35 | Stefan Wermter, Chihli Hung: Selforganizing Classification on the Reuters News Corpus. COLING 2002 | |
| 34 | Sheila Garfield, Stefan Wermter: Recurrent Neural Learning for Helpdesk Call Routing. ICANN 2002: 296-301 | |
| 33 | Christo Panchev, Stefan Wermter, Huixin Chen: Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites. ICANN 2002: 896-901 | |
| 32 | Stefan Wermter, Christo Panchev: Hybrid preference machines based on inspiration from neuroscience. Cognitive Systems Research 3(2): 255-270 (2002) | |
| 2001 | ||
| 31 | Stefan Wermter, Jim Austin, David J. Willshaw: Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing Springer 2001 | |
| 30 | Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw: Towards Novel Neuroscience-Inspired Computing. Emergent Neural Computational Architectures Based on Neuroscience 2001: 1-19 | |
| 29 | Steve Womble, Stefan Wermter: A Mirror Neuron System for Syntax Acquisition. ICANN 2001: 1233-1238 | |
| 28 | Kenneth McGarry, Stefan Wermter, John MacIntyre: Knowledge Extraction from Local Function Networks. IJCAI 2001: 765-770 | |
| 27 | Stefan Wermter, Ron Sun: The Present and the Future of Hybrid Neural Symbolic Systems: Some Reflections from the NIPS Workshop. AI Magazine 22(1): 123-126 (2001) | |
| 26 | Kenneth McGarry, Stefan Wermter, John MacIntyre: The Extraction and Comparison of Knowledge from Local Function Networks. International Journal of Computational Intelligence and Applications 1(4): 369-382 (2001) | |
| 2000 | ||
| 25 | Stefan Wermter, Ron Sun: Hybrid Neural Systems, revised papers from a workshop held December 4-5, 1998, Denver, USA Springer 2000 | |
| 24 | Christo Panchev, Stefan Wermter: Complex Preferences for the Integration of Neural Codes. IJCNN (2) 2000: 253-258 | |
| 23 | Stefan Wermter, Christo Panchev, Garen Arevian: Meaning Spotting and Robustness of Recurrent Networks. IJCNN (3) 2000: 433-438 | |
| 22 | Stefan Wermter: Knowledge Extraction from Transducer Neural Networks. Appl. Intell. 12(1-2): 27-42 (2000) | |
| 21 | Stefan Wermter: Neural Network Agents for Learning Semantic Text Classification. Inf. Retr. 3(2): 87-103 (2000) | |
| 20 | Stefan Wermter: Neural Fuzzy Preference Integration Using Neural Preference Moore Machines. Int. J. Neural Syst. 10(4): 287-309 (2000) | |
| 1999 | ||
| 19 | Stefan Wermter, Christo Panchev, Garen Arevian: Hybrid Neural Plausibility Networks for News Agents. AAAI/IAAI 1999: 93-98 | |
| 18 | Stefan Wermter: Preference Moore Machines for Neural Fuzzy Integration. IJCAI 1999: 840-845 | |
| 1998 | ||
| 17 | Stefan Wermter, Ron Sun: An Overview of Hybrid Neural Systems. Hybrid Neural Systems 1998: 1-13 | |
| 16 | Stefan Wermter, Garen Arevian, Christo Panchev: Towards Hybrid Neural Learning Internet Agents. Hybrid Neural Systems 1998: 158-174 | |
| 1997 | ||
| 15 | Stefan Wermter, Volker Weber: SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks CoRR cmp-lg/9702001: (1997) | |
| 14 | Stefan Wermter, Volker Weber: SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks CoRR cs.AI/9701102: (1997) | |
| 13 | Stefan Wermter, Volker Weber: SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks. J. Artif. Intell. Res. (JAIR) 6: 35-85 (1997) | |
| 1996 | ||
| 12 | Stefan Wermter, Ellen Riloff, Gabriele Scheler: Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing Springer 1996 | |
| 11 | Stefan Wermter, Matthias Lochel: Learning dialog act processing. COLING 1996: 740-745 | |
| 10 | Stefan Wermter, Manuela Meurer: Towards constructive and destructive dynamic network configuration. ESANN 1996 | |
| 9 | Stefan Wermter, Volker Weber: Interactive Spoken-Language Processing in a Hybrid Connectionist System. IEEE Computer 29(7): 65-74 (1996) | |
| 1995 | ||
| 8 | Stefan Wermter, Ellen Riloff, Gabriele Scheler: Learning approaches for natural language processing. Learning for Natural Language Processing 1995: 1-16 | |
| 7 | Volker Weber, Stefan Wermter: Using hybrid connectionist learning for speech/language analysis. Learning for Natural Language Processing 1995: 87-101 | |
| 1994 | ||
| 6 | Stefan Wermter, Volker Weber: Learning Fault-Tolerant Speech Parsing with SCREEN. AAAI 1994: 670-675 | |
| 1993 | ||
| 5 | Stefan Wermter: Konnektionistische/Hybride Verarbeitung Natürlicher Sprache, Zusammenfassung von der AAAI92, ECAI92, INSP92 und dem Workshop über ``Neural Networks and a New AI''. KI 7(1): 42-44 (1993) | |
| 1992 | ||
| 4 | Stefan Wermter: Learning a Scanning Understanding for "Real-world" Library Categorization. ANLP 1992: 251-252 | |
| 3 | Stefan Wermter: A Hybrid and Connectionist Architecture for a Scanning Understanding. ECAI 1992: 188-192 | |
| 1990 | ||
| 2 | Stefan Wermter: Combining Symbolic and Connectionist Techniques for Coordination in Natural Language. GWAI 1990: 186-195 | |
| 1989 | ||
| 1 | Stefan Wermter: Integration of Semantic and Syntactic Constraints for Structural Noun Phrase Disambiguation. IJCAI 1989: 1486-1491 | |
Colors in the list of coauthors
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