| 2008 |
|---|
| 74 | EE | 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 |
| 73 | EE | K. K. Kiran Bhagat,
Stefan Wermter,
Kevin Burn:
Hybrid learning architecture for unobtrusive infrared tracking support.
IJCNN 2008: 2703-2709 |
| 72 | EE | Chi-Yung Yau,
Kevin Burn,
Stefan Wermter:
A neural wake-sleep learning architecture for associating robotic facial emotions.
IJCNN 2008: 2715-2721 |
| 71 | EE | Abdulrahman Altahhan,
Kevin Burn,
Stefan Wermter:
Visual robot homing using Sarsa(lambda), whole image measure, and radial basis function.
IJCNN 2008: 3861-3868 |
| 70 | EE | Jindong Liu,
Harry R. Erwin,
Stefan Wermter:
Mobile robot broadband sound localisation using a biologically inspired spiking neural network.
IROS 2008: 2191-2196 |
| 69 | EE | N. 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) |
| 2007 |
|---|
| 68 | EE | Kenneth McGarry,
Sheila Garfield,
Stefan Wermter:
Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks.
CBMS 2007: 612-617 |
| 67 | EE | Kenneth McGarry,
Sheila Garfield,
Nick Morris,
Stefan Wermter:
Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery.
NeSy 2007 |
| 66 | EE | Cornelius Weber,
Stefan Wermter:
A self-organizing map of sigma-pi units.
Neurocomputing 70(13-15): 2552-2560 (2007) |
| 2006 |
|---|
| 65 | EE | David Muse,
Kevin Burn,
Stefan Wermter:
Reinforcement Learning for Platform-Independent Visual Robot Control.
IJCNN 2006: 2459-2466 |
| 64 | EE | 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 |
| 63 | EE | Christo Panchev,
Stefan Wermter:
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions.
Connect. Sci. 18(1): 1-22 (2006) |
| 62 | EE | 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) |
| 61 | EE | David Muse,
Cornelius Weber,
Stefan Wermter:
Robot docking based on omnidirectional vision and reinforcement learning.
Knowl.-Based Syst. 19(5): 324-332 (2006) |
| 60 | EE | 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) |
| 59 | EE | 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) |
| 58 | EE | Cornelius Weber,
Stefan Wermter,
Mark Elshaw:
A hybrid generative and predictive model of the motor cortex.
Neural Networks 19(4): 339-353 (2006) |
| 2005 |
|---|
| 57 | | Stefan Wermter,
Günther Palm,
Mark Elshaw:
Biomimetic Neural Learning for Intelligent Robots - Intelligent Systems, Cognitive Robotics, and Neuroscience
Springer 2005 |
| 56 | EE | Stefan Wermter,
Günther Palm,
Cornelius Weber,
Mark Elshaw:
Towards Biomimetic Neural Learning for Intelligent Robots.
Biomimetic Neural Learning for Intelligent Robots 2005: 1-18 |
| 55 | EE | 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 |
| 54 | EE | 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 |
| 53 | EE | 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 |
| 52 | EE | Stefan Wermter:
Hybrid Intelligent Systems and Cognitive Robotics.
HIS 2005: 4 |
| 51 | EE | Cornelius Weber,
David Muse,
Mark Elshaw,
Stefan Wermter:
Reinforcement Learning in MirrorBot.
ICANN (1) 2005: 305-310 |
| 50 | EE | Cornelius Weber,
Stefan Wermter:
Image Segmentation by Complex-Valued Units.
ICANN (1) 2005: 519-524 |
| 49 | EE | Kenneth McGarry,
Stefan Wermter:
Training without data: Knowledge Insertion into RBF Neural Networks.
IJCAI 2005: 792-797 |
| 48 | EE | Sheila Garfield,
Stefan Wermter,
Siobhan Devlin:
Spoken language classification using hybrid classifier combination.
Int. J. Hybrid Intell. Syst. 2(1): 13-33 (2005) |
| 2004 |
|---|
| 47 | EE | Chihli Hung,
Stefan Wermter,
Peter Smith:
Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering.
ECIR 2004: 154-166 |
| 46 | | 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 |
| 45 | EE | Chihli Hung,
Stefan Wermter,
Peter Smith:
Hybrid Neural Document Clustering Using Guided Self-Organization and WordNet.
IEEE Intelligent Systems 19(2): 68-77 (2004) |
| 44 | EE | Chihli Hung,
Stefan Wermter:
Neural Network Based Document Clustering Using WordNet Ontologies.
Int. J. Hybrid Intell. Syst. 1(3-4): 127-142 (2004) |
| 43 | EE | Cornelius Weber,
Stefan Wermter,
Alexandros Zochios:
Robot docking with neural vision and reinforcement.
Knowl.-Based Syst. 17(2-4): 165-172 (2004) |
| 42 | EE | Christo Panchev,
Stefan Wermter:
Spike-timing-dependent synaptic plasticity: from single spikes to spike trains.
Neurocomputing 58-60: 365-371 (2004) |
| 41 | EE | 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 |
|---|
| 40 | EE | Kaustubh Chokshi,
Stefan Wermter,
Cornelius Weber:
Learning Localisation Based on Landmarks Using Self-Organisation.
ICANN 2003: 504-514 |
| 39 | EE | Sheila Garfield,
Stefan Wermter:
Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances.
ICANN 2003: 646-653 |
| 38 | EE | Cornelius Weber,
Stefan Wermter:
Object Localisation Using Laterally Connected "What" and "Where" Associator Networks.
ICANN 2003: 813-820 |
| 37 | EE | Chihli Hung,
Stefan Wermter:
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering.
ICDM 2003: 75-82 |
| 36 | EE | 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) |
| 35 | EE | 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) |
| 34 | EE | Stefan Wermter,
Mark Elshaw:
Learning robot actions based on self-organising language memory.
Neural Networks 16(5-6): 691-699 (2003) |
| 2002 |
|---|
| 33 | EE | Stefan Wermter,
Chihli Hung:
Selforganizing Classification on the Reuters News Corpus.
COLING 2002 |
| 32 | EE | Sheila Garfield,
Stefan Wermter:
Recurrent Neural Learning for Helpdesk Call Routing.
ICANN 2002: 296-301 |
| 31 | EE | Christo Panchev,
Stefan Wermter,
Huixin Chen:
Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites.
ICANN 2002: 896-901 |
| 2001 |
|---|
| 30 | | Stefan Wermter,
Jim Austin,
David J. Willshaw:
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
Springer 2001 |
| 29 | EE | Stefan Wermter,
Jim Austin,
David J. Willshaw,
Mark Elshaw:
Towards Novel Neuroscience-Inspired Computing.
Emergent Neural Computational Architectures Based on Neuroscience 2001: 1-19 |
| 28 | EE | Steve Womble,
Stefan Wermter:
A Mirror Neuron System for Syntax Acquisition.
ICANN 2001: 1233-1238 |
| 27 | | Kenneth McGarry,
Stefan Wermter,
John MacIntyre:
Knowledge Extraction from Local Function Networks.
IJCAI 2001: 765-770 |
| 26 | | 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) |
| 25 | EE | 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 |
|---|
| 24 | | Stefan Wermter,
Ron Sun:
Hybrid Neural Systems, revised papers from a workshop held December 4-5, 1998, Denver, USA
Springer 2000 |
| 23 | EE | Christo Panchev,
Stefan Wermter:
Complex Preferences for the Integration of Neural Codes.
IJCNN (2) 2000: 253-258 |
| 22 | EE | Stefan Wermter,
Christo Panchev,
Garen Arevian:
Meaning Spotting and Robustness of Recurrent Networks.
IJCNN (3) 2000: 433-438 |
| 21 | | Stefan Wermter:
Knowledge Extraction from Transducer Neural Networks.
Appl. Intell. 12(1-2): 27-42 (2000) |
| 20 | | Stefan Wermter:
Neural Network Agents for Learning Semantic Text Classification.
Inf. Retr. 3(2): 87-103 (2000) |
| 19 | EE | Stefan Wermter:
Neural Fuzzy Preference Integration Using Neural Preference Moore Machines.
Int. J. Neural Syst. 10(4): 287-309 (2000) |
| 1999 |
|---|
| 18 | | Stefan Wermter,
Christo Panchev,
Garen Arevian:
Hybrid Neural Plausibility Networks for News Agents.
AAAI/IAAI 1999: 93-98 |
| 17 | | Stefan Wermter:
Preference Moore Machines for Neural Fuzzy Integration.
IJCAI 1999: 840-845 |
| 1998 |
|---|
| 16 | | Stefan Wermter,
Ron Sun:
An Overview of Hybrid Neural Systems.
Hybrid Neural Systems 1998: 1-13 |
| 15 | | Stefan Wermter,
Garen Arevian,
Christo Panchev:
Towards Hybrid Neural Learning Internet Agents.
Hybrid Neural Systems 1998: 158-174 |
| 1997 |
|---|
| 14 | EE | Stefan Wermter,
Volker Weber:
SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks
CoRR cmp-lg/9702001: (1997) |
| 13 | EE | Stefan Wermter,
Volker Weber:
SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks
CoRR cs.AI/9701102: (1997) |
| 12 | | 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 |
|---|
| 11 | | Stefan Wermter,
Ellen Riloff,
Gabriele Scheler:
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
Springer 1996 |
| 10 | EE | Stefan Wermter,
Matthias Lochel:
Learning dialog act processing.
COLING 1996: 740-745 |
| 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 | EE | 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 |
