Stefan Wermter

Nandita Tripathi, Michael P. Oakes, Stefan Wermter: Hybrid classifiers based on semantic data subspaces for two-level text categorization. Int. J. Hybrid Intell. Syst. 10(1): 33-41 (2013)

Nicolás Navarro-Guerrero, Cornelius Weber, Pascal Schroeter, Stefan Wermter: Real-world reinforcement learning for autonomous humanoid robot docking. Robotics and Autonomous Systems 60(11): 1400-1407 (2012)

Nandita Tripathi, Michael P. Oakes, Stefan Wermter: A Fast Subspace Text Categorization Method Using Parallel Classifiers. CICLing (2) 2012: 132-143

Nils Meins, Doreen Jirak, Cornelius Weber, Stefan Wermter: Adaboost and Hopfield Neural Networks on different image representations for robust face detection. HIS 2012: 531-536

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

Jorge Dávila-Chacón, Stefan Heinrich, Jindong Liu, Stefan Wermter: Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation. ICANN (1) 2012: 239-246

Nils Meins, Stefan Wermter, Cornelius Weber: Hybrid Ensembles Using Hopfield Neural Networks and Haar-Like Features for Face Detection. ICANN (1) 2012: 403-410

Junpei Zhong, Cornelius Weber, Stefan Wermter: Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model. ICANN (1) 2012: 539-546

Stefan Heinrich, Cornelius Weber, Stefan Wermter: Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network. ICANN (1) 2012: 555-562

Johannes Bauer, Cornelius Weber, Stefan Wermter: A SOM-based model for multi-sensory integration in the superior colliculus. IJCNN 2012: 1-8

Nicolás Navarro-Guerrero, Robert Lowe, Stefan Wermter: A neurocomputational amygdala model of auditory fear conditioning: A hybrid system approach. IJCNN 2012: 1-8

Wenjie Yan, Cornelius Weber, Stefan Wermter: A neural approach for robot navigation based on cognitive map learning. IJCNN 2012: 1-8

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)

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)

Nandita Tripathi, Michael P. Oakes, Stefan Wermter: Hybrid classifiers for improved semantic subspace learning of news documents. HIS 2011: 28-33

Stefan Heinrich, Markus Eberling, Stefan Wermter: Determining Cooperation in Multiagent Systems with Cultural Traits. ICAART (2) 2011: 173-180

Nandita Tripathi, Michael P. Oakes, Stefan Wermter: Hybrid Parallel Classifiers for Semantic Subspace Learning. ICANN (2) 2011: 64-70

Junpei Zhong, Cornelius Weber, Stefan Wermter: Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model. ICANN (2) 2011: 333-340

Wenjie Yan, Cornelius Weber, Stefan Wermter: Person Tracking Based on a Hybrid Neural Probabilistic Model. ICANN (2) 2011: 365-372

Nicolás Navarro, Cornelius Weber, Stefan Wermter: Real-World Reinforcement Learning for Autonomous Humanoid Robot Charging in a Home Environment. TAROS 2011: 231-240

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)

Nandita Tripathi, Stefan Wermter, Chihli Hung, Michael P. Oakes: Semantic Subspace Learning with conditional significance vectors. IJCNN 2010: 1-8

Chi-Yung Yau, Kevin Burn, Stefan Wermter: Configuring the stochastic Helmholtz machine for subcortical emotional learning. IJCNN 2010: 1-8

Michael Knowles, David Baglee, Stefan Wermter: Reinforcement Learning for Scheduling of Maintenance. SGAI Conf. 2010: 409-422

David Muse, Stefan Wermter: Actor-Critic Learning for Platform-Independent Robot Navigation. Cognitive Computation 1(3): 203-220 (2009)

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)

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)

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)

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)

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

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

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

Chihli Hung, Stefan Wermter: A novel self-organising clustering model for time-event documents. The Electronic Library 26(2): 260-272 (2008)

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)

Michael John Knowles, Stefan Wermter: The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning. HIS 2008: 404-409

John C. Murray, Stefan Wermter, Michael Knowles: MIRA: A Learning Multimodal Interactive Robot Agent. HIS 2008: 947-950

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

K. K. Kiran Bhagat, Stefan Wermter, Kevin Burn: Hybrid learning architecture for unobtrusive infrared tracking support. IJCNN 2008: 2703-2709

Chi-Yung Yau, Kevin Burn, Stefan Wermter: A neural wake-sleep learning architecture for associating robotic facial emotions. IJCNN 2008: 2715-2721

Abdulrahman Altahhan, Kevin Burn, Stefan Wermter: Visual robot homing using Sarsa(lambda), whole image measure, and radial basis function. IJCNN 2008: 3861-3868

Jindong Liu, Harry R. Erwin, Stefan Wermter: Mobile robot broadband sound localisation using a biologically inspired spiking neural network. IROS 2008: 2191-2196

Cornelius Weber, Stefan Wermter: A self-organizing map of sigma-pi units. Neurocomputing 70(13-15): 2552-2560 (2007)

Kenneth McGarry, Sheila Garfield, Stefan Wermter: Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks. CBMS 2007: 612-617

Kenneth McGarry, Sheila Garfield, Nick Morris, Stefan Wermter: Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery. NeSy 2007

Christo Panchev, Stefan Wermter: Temporal sequence detection with spiking neurons: towards recognizing robot language instructions. Connect. Sci. 18(1): 1-22 (2006)

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)

David Muse, Cornelius Weber, Stefan Wermter: Robot docking based on omnidirectional vision and reinforcement learning. Knowl.-Based Syst. 19(5): 324-332 (2006)

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)

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)

Cornelius Weber, Stefan Wermter, Mark Elshaw: A hybrid generative and predictive model of the motor cortex. Neural Networks 19(4): 339-353 (2006)

David Muse, Kevin Burn, Stefan Wermter: Reinforcement Learning for Platform-Independent Visual Robot Control. IJCNN 2006: 2459-2466

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

Sheila Garfield, Stefan Wermter, Siobhan Devlin: Spoken language classification using hybrid classifier combination. Int. J. Hybrid Intell. Syst. 2(1): 13-33 (2005)

Stefan Wermter: Hybrid Intelligent Systems and Cognitive Robotics. HIS 2005: 4

Cornelius Weber, Konstantinos Karantzis, Stefan Wermter: Grasping with flexible viewing-direction with a learned coordinate transformation network. Humanoids 2005: 253-258

Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter: Reinforcement Learning in MirrorBot. ICANN (1) 2005: 305-310

Cornelius Weber, Stefan Wermter: Image Segmentation by Complex-Valued Units. ICANN (1) 2005: 519-524

Kenneth McGarry, Stefan Wermter: Training without data: Knowledge Insertion into RBF Neural Networks. IJCAI 2005: 792-797

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

Stefan Wermter, Günther Palm, Cornelius Weber, Mark Elshaw: Towards Biomimetic Neural Learning for Intelligent Robots. Biomimetic Neural Learning for Intelligent Robots 2005: 1-18

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

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

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

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

Stefan Wermter, Günther Palm, Mark Elshaw (Eds.): Biomimetic Neural Learning for Intelligent Robots - Intelligent Systems, Cognitive Robotics, and Neuroscience. Lecture Notes in Computer Science 3575, Springer 2005, isbn 3-540-27440-5

Chihli Hung, Stefan Wermter, Peter Smith: Hybrid Neural Document Clustering Using Guided Self-Organization and WordNet. IEEE Intelligent Systems 19(2): 68-77 (2004)

Chihli Hung, Stefan Wermter: Neural Network Based Document Clustering Using WordNet Ontologies. Int. J. Hybrid Intell. Syst. 1(3-4): 127-142 (2004)

Christo Panchev, Stefan Wermter: Spike-timing-dependent synaptic plasticity: from single spikes to spike trains. Neurocomputing 58-60: 365-371 (2004)

Cornelius Weber, Stefan Wermter, Alexandros Zochios: Robot docking with neural vision and reinforcement. Knowl.-Based Syst. 17(2-4): 165-172 (2004)

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)

Chihli Hung, Stefan Wermter, Peter Smith: Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering. ECIR 2004: 154-166

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

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)

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)

Stefan Wermter, Mark Elshaw: Learning robot actions based on self-organising language memory. Neural Networks 16(5-6): 691-699 (2003)

Kaustubh Chokshi, Stefan Wermter, Cornelius Weber: Learning Localisation Based on Landmarks Using Self-Organisation. ICANN 2003: 504-514

Sheila Garfield, Stefan Wermter: Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances. ICANN 2003: 646-653

Cornelius Weber, Stefan Wermter: Object Localisation Using Laterally Connected "What" and "Where" Associator Networks. ICANN 2003: 813-820

Chihli Hung, Stefan Wermter: A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering. ICDM 2003: 75-82

Stefan Wermter, Christo Panchev: Hybrid preference machines based on inspiration from neuroscience. Cognitive Systems Research 3(2): 255-270 (2002)

Stefan Wermter, Chihli Hung: Selforganizing Classification on the Reuters News Corpus. COLING 2002

Sheila Garfield, Stefan Wermter: Recurrent Neural Learning for Helpdesk Call Routing. ICANN 2002: 296-301

Christo Panchev, Stefan Wermter, Huixin Chen: Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites. ICANN 2002: 896-901

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)

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)

Steve Womble, Stefan Wermter: A Mirror Neuron System for Syntax Acquisition. ICANN 2001: 1233-1238

Kenneth McGarry, Stefan Wermter, John MacIntyre: Knowledge Extraction from Local Function Networks. IJCAI 2001: 765-770

Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw: Towards Novel Neuroscience-Inspired Computing. Emergent Neural Computational Architectures Based on Neuroscience 2001: 1-19

Stefan Wermter, Jim Austin, David J. Willshaw (Eds.): Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing. Lecture Notes in Computer Science 2036, Springer 2001, isbn 3-540-42363-X

Stefan Wermter: Knowledge Extraction from Transducer Neural Networks. Appl. Intell. 12(1-2): 27-42 (2000)

Stefan Wermter: Neural Fuzzy Preference Integration Using Neural Preference Moore Machines. Int. J. Neural Syst. 10(4): 287-309 (2000)

Stefan Wermter: Neural Network Agents for Learning Semantic Text Classification. Inf. Retr. 3(2): 87-103 (2000)

Christo Panchev, Stefan Wermter: Complex Preferences for the Integration of Neural Codes. IJCNN (2) 2000: 253-258

Stefan Wermter, Christo Panchev, Garen Arevian: Meaning Spotting and Robustness of Recurrent Networks. IJCNN (3) 2000: 433-438

Stefan Wermter, Ron Sun (Eds.): Hybrid Neural Systems, revised papers from a workshop held December 4-5, 1998, Denver, USA. Lecture Notes in Computer Science 1778, Springer 2000, isbn 3-540-67305-9

Stefan Wermter, Christo Panchev, Garen Arevian: Hybrid Neural Plausibility Networks for News Agents. AAAI/IAAI 1999: 93-98

Stefan Wermter: Preference Moore Machines for Neural Fuzzy Integration. IJCAI 1999: 840-845

Stefan Wermter, Ron Sun: An Overview of Hybrid Neural Systems. Hybrid Neural Systems 1998: 1-13

Stefan Wermter, Garen Arevian, Christo Panchev: Towards Hybrid Neural Learning Internet Agents. Hybrid Neural Systems 1998: 158-174

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)

Stefan Wermter, Volker Weber: SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks. CoRR cmp-lg/9702001 (1997)

Stefan Wermter, Volker Weber: SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks. CoRR cs.AI/9701102 (1997)

Stefan Wermter, Volker Weber: Interactive Spoken-Language Processing in a Hybrid Connectionist System. IEEE Computer 29(7): 65-74 (1996)

Stefan Wermter, Matthias Lochel: Learning dialog act processing. COLING 1996: 740-745

Stefan Wermter, Manuela Meurer: Towards constructive and destructive dynamic network configuration. ESANN 1996

Stefan Wermter, Ellen Riloff, Gabriele Scheler (Eds.): Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing. Lecture Notes in Computer Science 1040, Springer 1996, isbn 3-540-60925-3

Stefan Wermter, Ellen Riloff, Gabriele Scheler: Learning approaches for natural language processing. Learning for Natural Language Processing 1995: 1-16

Volker Weber, Stefan Wermter: Using hybrid connectionist learning for speech/language analysis. Learning for Natural Language Processing 1995: 87-101

Stefan Wermter, Volker Weber: Learning Fault-Tolerant Speech Parsing with SCREEN. AAAI 1994: 670-675

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)

Stefan Wermter: Learning a Scanning Understanding for "Real-world" Library Categorization. ANLP 1992: 251-252

Stefan Wermter: A Hybrid and Connectionist Architecture for a Scanning Understanding. ECAI 1992: 188-192

Stefan Wermter: Combining Symbolic and Connectionist Techniques for Coordination in Natural Language. GWAI 1990: 186-195

Stefan Wermter: Integration of Semantic and Syntactic Constraints for Structural Noun Phrase Disambiguation. IJCAI 1989: 1486-1491