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Stefan Wermter: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Stefan Wermter, Christo Panchev, Garen Arevian
    Hybrid Neural Plausibility Networks for News Agents. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:93-98 [Conf]
  2. Stefan Wermter, Volker Weber
    Learning Fault-Tolerant Speech Parsing with SCREEN. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:670-675 [Conf]
  3. Stefan Wermter
    Learning a Scanning Understanding for "Real-world" Library Categorization. [Citation Graph (0, 0)][DBLP]
    ANLP, 1992, pp:251-252 [Conf]
  4. Stefan Wermter, Chihli Hung
    Selforganizing Classification on the Reuters News Corpus. [Citation Graph (0, 0)][DBLP]
    COLING, 2002, pp:- [Conf]
  5. Stefan Wermter, Matthias Lochel
    Learning dialog act processing. [Citation Graph (0, 0)][DBLP]
    COLING, 1996, pp:740-745 [Conf]
  6. Stefan Wermter
    A Hybrid and Connectionist Architecture for a Scanning Understanding. [Citation Graph (0, 0)][DBLP]
    ECAI, 1992, pp:188-192 [Conf]
  7. Chihli Hung, Stefan Wermter, Peter Smith
    Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering. [Citation Graph (0, 0)][DBLP]
    ECIR, 2004, pp:154-166 [Conf]
  8. Stefan Wermter
    Hybrid Intelligent Systems and Cognitive Robotics. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:4- [Conf]
  9. Stefan Wermter, Garen Arevian, Christo Panchev
    Towards Hybrid Neural Learning Internet Agents. [Citation Graph (0, 0)][DBLP]
    Hybrid Neural Systems, 1998, pp:158-174 [Conf]
  10. Stefan Wermter, Ron Sun
    An Overview of Hybrid Neural Systems. [Citation Graph (0, 0)][DBLP]
    Hybrid Neural Systems, 1998, pp:1-13 [Conf]
  11. Kaustubh Chokshi, Stefan Wermter, Cornelius Weber
    Learning Localisation Based on Landmarks Using Self-Organisation. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:504-514 [Conf]
  12. Sheila Garfield, Stefan Wermter
    Recurrent Neural Learning for Helpdesk Call Routing. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:296-301 [Conf]
  13. Sheila Garfield, Stefan Wermter
    Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:646-653 [Conf]
  14. Christo Panchev, Stefan Wermter, Huixin Chen
    Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:896-901 [Conf]
  15. Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter
    Reinforcement Learning in MirrorBot. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:305-310 [Conf]
  16. Cornelius Weber, Stefan Wermter
    Object Localisation Using Laterally Connected "What" and "Where" Associator Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:813-820 [Conf]
  17. Cornelius Weber, Stefan Wermter
    Image Segmentation by Complex-Valued Units. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:519-524 [Conf]
  18. Steve Womble, Stefan Wermter
    A Mirror Neuron System for Syntax Acquisition. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:1233-1238 [Conf]
  19. Chihli Hung, Stefan Wermter
    A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:75-82 [Conf]
  20. Kenneth McGarry, Stefan Wermter
    Training without data: Knowledge Insertion into RBF Neural Networks. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:792-797 [Conf]
  21. Kenneth McGarry, Stefan Wermter, John MacIntyre
    Knowledge Extraction from Local Function Networks. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:765-770 [Conf]
  22. Volker Weber, Stefan Wermter
    Using hybrid connectionist learning for speech/language analysis. [Citation Graph (0, 0)][DBLP]
    Learning for Natural Language Processing, 1995, pp:87-101 [Conf]
  23. Stefan Wermter
    Integration of Semantic and Syntactic Constraints for Structural Noun Phrase Disambiguation. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:1486-1491 [Conf]
  24. Stefan Wermter
    Preference Moore Machines for Neural Fuzzy Integration. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:840-845 [Conf]
  25. Stefan Wermter, Ellen Riloff, Gabriele Scheler
    Learning approaches for natural language processing. [Citation Graph (0, 0)][DBLP]
    Learning for Natural Language Processing, 1995, pp:1-16 [Conf]
  26. Christo Panchev, Stefan Wermter
    Complex Preferences for the Integration of Neural Codes. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:253-258 [Conf]
  27. Stefan Wermter, Christo Panchev, Garen Arevian
    Meaning Spotting and Robustness of Recurrent Networks. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:433-438 [Conf]
  28. Shaun Cox, Michael P. Oakes, Stefan Wermter, Maurice Hawthorne
    AudioMine: Medical Data Mining in Heterogeneous Audiology Records. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Intelligence, 2004, pp:8-11 [Conf]
  29. Stefan Wermter
    Combining Symbolic and Connectionist Techniques for Coordination in Natural Language. [Citation Graph (0, 0)][DBLP]
    GWAI, 1990, pp:186-195 [Conf]
  30. Kaustubh Chokshi, Stefan Wermter, Christo Panchev, Kevin Burn
    Image Invariant Robot Navigation Based on Self Organising Neural Place Codes. [Citation Graph (0, 0)][DBLP]
    Biomimetic Neural Learning for Intelligent Robots, 2005, pp:88-106 [Conf]
  31. John C. Murray, Harry R. Erwin, Stefan Wermter
    A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots. [Citation Graph (0, 0)][DBLP]
    Biomimetic Neural Learning for Intelligent Robots, 2005, pp:73-87 [Conf]
  32. Stefan Wermter, Günther Palm, Cornelius Weber, Mark Elshaw
    Towards Biomimetic Neural Learning for Intelligent Robots. [Citation Graph (0, 0)][DBLP]
    Biomimetic Neural Learning for Intelligent Robots, 2005, pp:1-18 [Conf]
  33. Stefan Wermter, Cornelius Weber, Mark Elshaw, Vittorio Gallese, Friedemann Pulvermüller
    Grounding Neural Robot Language in Action. [Citation Graph (0, 0)][DBLP]
    Biomimetic Neural Learning for Intelligent Robots, 2005, pp:162-181 [Conf]
  34. Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw
    Towards Novel Neuroscience-Inspired Computing. [Citation Graph (0, 0)][DBLP]
    Emergent Neural Computational Architectures Based on Neuroscience, 2001, pp:1-19 [Conf]
  35. Stefan Wermter, Ron Sun
    The Present and the Future of Hybrid Neural Symbolic Systems: Some Reflections from the NIPS Workshop. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2001, v:22, n:1, pp:123-126 [Journal]
  36. Stefan Wermter
    Knowledge Extraction from Transducer Neural Networks. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2000, v:12, n:1-2, pp:27-42 [Journal]
  37. Stefan Wermter, Volker Weber
    Interactive Spoken-Language Processing in a Hybrid Connectionist System. [Citation Graph (0, 0)][DBLP]
    IEEE Computer, 1996, v:29, n:7, pp:65-74 [Journal]
  38. Stefan Wermter, Mark Elshaw, Simon Farrand
    A modular approach to self-organization of robot control based on language instruction. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 2003, v:15, n:2-3, pp:73-94 [Journal]
  39. Stefan Wermter, Volker Weber
    SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks [Citation Graph (0, 0)][DBLP]
    CoRR, 1997, v:0, n:, pp:- [Journal]
  40. Stefan Wermter, Volker Weber
    SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks [Citation Graph (0, 0)][DBLP]
    CoRR, 1997, v:0, n:, pp:- [Journal]
  41. Chihli Hung, Stefan Wermter, Peter Smith
    Hybrid Neural Document Clustering Using Guided Self-Organization and WordNet. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2004, v:19, n:2, pp:68-77 [Journal]
  42. Garen Arevian, Stefan Wermter, Christo Panchev
    Symbolic state transducers and recurrent neural preference machines for text mining. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2003, v:32, n:2-3, pp:237-258 [Journal]
  43. Kenneth McGarry, Stefan Wermter, John MacIntyre
    The Extraction and Comparison of Knowledge from Local Function Networks. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2001, v:1, n:4, pp:369-382 [Journal]
  44. Sheila Garfield, Stefan Wermter, Siobhan Devlin
    Spoken language classification using hybrid classifier combination. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2005, v:2, n:1, pp:13-33 [Journal]
  45. Chihli Hung, Stefan Wermter
    Neural Network Based Document Clustering Using WordNet Ontologies. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2004, v:1, n:3-4, pp:127-142 [Journal]
  46. Stefan Wermter
    Neural Fuzzy Preference Integration Using Neural Preference Moore Machines. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2000, v:10, n:4, pp:287-309 [Journal]
  47. Christo Panchev, Stefan Wermter
    Spike-timing-dependent synaptic plasticity: from single spikes to spike trains. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:58, n:, pp:365-371 [Journal]
  48. Stefan Wermter
    Neural Network Agents for Learning Semantic Text Classification. [Citation Graph (0, 0)][DBLP]
    Inf. Retr., 2000, v:3, n:2, pp:87-103 [Journal]
  49. Stefan Wermter, Volker Weber
    SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1997, v:6, n:, pp:35-85 [Journal]
  50. Sheila Garfield, Stefan Wermter
    Call classification using recurrent neural networks, support vector machines and finite state automata. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2006, v:9, n:2, pp:131-156 [Journal]
  51. Cornelius Weber, Stefan Wermter, Alexandros Zochios
    Robot docking with neural vision and reinforcement. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2004, v:17, n:2-4, pp:165-172 [Journal]
  52. Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter
    A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2006, v:19, n:5, pp:348-355 [Journal]
  53. David Muse, Cornelius Weber, Stefan Wermter
    Robot docking based on omnidirectional vision and reinforcement learning. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2006, v:19, n:5, pp:324-332 [Journal]
  54. Stefan Wermter
    Konnektionistische/Hybride Verarbeitung Natürlicher Sprache, Zusammenfassung von der AAAI92, ECAI92, INSP92 und dem Workshop über ``Neural Networks and a New AI''. [Citation Graph (0, 0)][DBLP]
    KI, 1993, v:7, n:1, pp:42-44 [Journal]
  55. James Malone, Kenneth McGarry, Stefan Wermter, Chris Bowerman
    Data mining using rule extraction from Kohonen self-organising maps. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2006, v:15, n:1, pp:9-17 [Journal]
  56. Stefan Wermter, Mark Elshaw
    Learning robot actions based on self-organising language memory. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:5-6, pp:691-699 [Journal]
  57. Cornelius Weber, Stefan Wermter, Mark Elshaw
    A hybrid generative and predictive model of the motor cortex. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:4, pp:339-353 [Journal]
  58. Stefan Wermter, Cornelius Weber, Mark Elshaw, Christo Panchev, Harry R. Erwin, Friedemann Pulvermüller
    Towards multimodal neural robot learning. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2004, v:47, n:2-3, pp:171-175 [Journal]
  59. Kenneth McGarry, Sheila Garfield, Stefan Wermter
    Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    CBMS, 2007, pp:612-617 [Conf]
  60. Cornelius Weber, Stefan Wermter
    A self-organizing map of sigma-pi units. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:13-15, pp:2552-2560 [Journal]

  61. The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning. [Citation Graph (, )][DBLP]


  62. MIRA: A Learning Multimodal Interactive Robot Agent. [Citation Graph (, )][DBLP]


  63. A Biologically Inspired Spiking Neural Network for Sound Localisation by the Inferior Colliculus. [Citation Graph (, )][DBLP]


  64. Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain. [Citation Graph (, )][DBLP]


  65. Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery. [Citation Graph (, )][DBLP]


  66. Reinforcement Learning for Platform-Independent Visual Robot Control. [Citation Graph (, )][DBLP]


  67. Hybrid learning architecture for unobtrusive infrared tracking support. [Citation Graph (, )][DBLP]


  68. Visual robot homing using Sarsa(lambda), whole image measure, and radial basis function. [Citation Graph (, )][DBLP]


  69. A neural wake-sleep learning architecture for associating robotic facial emotions. [Citation Graph (, )][DBLP]


  70. Mobile robot broadband sound localisation using a biologically inspired spiking neural network. [Citation Graph (, )][DBLP]


  71. Bioinspired Auditory Sound Localisation for Improving the Signal to Noise Ratio of Socially Interactive Robots. [Citation Graph (, )][DBLP]


  72. A Camera-Direction Dependent Visual-Motor Coordinate Transformation for a Visually Guided Neural Robot. [Citation Graph (, )][DBLP]


  73. Temporal sequence detection with spiking neurons: towards recognizing robot language instructions. [Citation Graph (, )][DBLP]


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