Stefan Wermter

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Emergent Neural Computational Architectures Based on Neuroscience

Stefan Wermter, Jim Austin, David Willshaw, 2001, Lecture Notes in Computer Science.

Towards Biomimetic Neural Learning for Intelligent Robots

Günther Palm, Stefan Wermter, Cornelius Weber, 2005, Biomimetic Neural Learning for Intelligent Robots.

Understanding how deep neural networks learn face expressions

Stefan Wermter, Bruno J. T. Fernandes, Nima Mousavi, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Towards multimodal neural robot learning

Stefan Wermter, Cornelius Weber, Mark Elshaw, 2004, Robotics Auton. Syst..

A hybrid connectionist approach for a scanning understanding of natural language phrases

Stefan Wermter, 1993 .

A Hybrid Symbolic/Connectionist Model for Noun Phrase Understanding

Stefan Wermter, Wendy G. Lehnert, S. Wermter, 1989 .

A Self-organizing Method for Robot Navigation based on Learned Place and Head-Direction Cells

Stefan Wermter, Cornelius Weber, Xiaomao Zhou, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robots

Stefan Wermter, Chandrakant Bothe, Fernando García, 2018, ICSR.

Spike-timing-dependent synaptic plasticity: from single spikes to spike trains

Stefan Wermter, Christo Panchev, S. Wermter, 2004, Neurocomputing.

Inferencing based on unsupervised learning of disentangled representations pdf

Stefan Wermter, Tobias Hinz, S. Wermter, 2018, ESANN.

The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios

Stefan Wermter, Cornelius Weber, Thomas Hummel, 2017, HAI.

A modular approach to self-organization of robot control based on language instruction

Stefan Wermter, Mark Elshaw, Simon Farrand, 2003, Connect. Sci..

Bioinspired Auditory Sound Localisation for Improving the Signal to Noise Ratio of Socially Interactive Robots

Stefan Wermter, Harry R. Erwin, John C. Murray, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Towards Hybrid Neural Learning Internet Agents

Stefan Wermter, Christo Panchev, Garen Arevian, 1998, Hybrid Neural Systems.

HandSOM - neural clustering of hand motion for gesture recognition in real time

Stefan Wermter, German Ignacio Parisi, Doreen Jirak, 2014, The 23rd IEEE International Symposium on Robot and Human Interactive Communication.

Expectation Learning for Adaptive Crossmodal Stimuli Association pdf

Stefan Wermter, Pablo V. A. Barros, Xun Liu, 2018, ArXiv.

Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks

Stefan Wermter, Harry R. Erwin, John C. Murray, 2009, Neural Networks.

Hybrid Ensembles Using Hopfield Neural Networks and Haar-Like Features for Face Detection

Stefan Wermter, Cornelius Weber, Nils Meins, 2012, ICANN.

Special issue on advances in developmental robotics

Angelo Cangelosi, Stefan Wermter, Francesca Stramandinoli, 2012, Paladyn J. Behav. Robotics.

Actor-Critic Learning for Platform-Independent Robot Navigation

Stefan Wermter, David Muse, S. Wermter, 2009, Cognitive Computation.

An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions

Stefan Wermter, Henrique Siqueira, Pablo V. A. Barros, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Neural and statistical processing of spatial cues for sound source localisation

Jindong Liu, Stefan Wermter, Sven Magg, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue

Stefan Wermter, Henrique Siqueira, Pablo V. A. Barros, 2018, 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids).

Hybrid learning architecture for unobtrusive infrared tracking support

Stefan Wermter, K. K. Kiran Bhagat, Kevin Burn, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks

Stefan Wermter, Volker Weber, S. Wermter, 1996, J. Artif. Intell. Res..

A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments *

Stefan Wermter, Pablo V. A. Barros, Sven Magg, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Neural Fuzzy Preference Integration Using Neural Preference Moore Machines

Stefan Wermter, S. Wermter, 2000, Int. J. Neural Syst..

Curriculum goal masking for continuous deep reinforcement learning

Stefan Wermter, Sven Magg, Manfred Eppe, 2018, 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Robot Localization and Orientation Detection Based on Place Cells and Head-Direction Cells

Stefan Wermter, Cornelius Weber, Xiaomao Zhou, 2017, ICANN.

A Hybrid Architecture using Cross-Correlation

Stefan Wermter, Harry Erwin, John Murray, 2005 .

Hybrid Neural Plausibility Networks for News Agents

Stefan Wermter, Christo Panchev, Garen Arevian, 1999, AAAI/IAAI.

Continuous Time Recurrent Neural Networks for Grammatical Induction

Stefan Wermter, Joseph Chen, S. Wermter, 1998 .

Bootstrapping Knowledge Graphs From Images and Text

Stefan Wermter, Cornelius Weber, Zhiyuan Liu, 2019, Front. Neurorobot..

Under Consideration for Publication in Knowledge and Information Systems Call Classification Using Recurrent Neural Networks, Support Vector Machines and Finite State Automata

Stefan Wermter, Sheila Garfield, S. Wermter, 2022 .

Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction pdf

Stefan Wermter, Tom Weber, S. Wermter, 2020, ArXiv.

Expectation Learning and Crossmodal Modulation with a Deep Adversarial Network

Stefan Wermter, Pablo V. A. Barros, Xun Liu, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Automatically augmenting an emotion dataset improves classification using audio

Stefan Wermter, Egor Lakomkin, Cornelius Weber, 2017, EACL.

Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks

Stefan Wermter, Sven Magg, Vidwath Raj, 2016, ANNPR.

The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling

Stefan Wermter, Pablo V. A. Barros, Pablo Barros, 2019, 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII).

A computational model of crossmodal processing for conflict resolution

Stefan Wermter, Pablo V. A. Barros, Xun Liu, 2017, 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

A novel self-organising clustering model for time-event documents

Stefan Wermter, Chihli Hung, 2008, Electron. Libr..

Combining Symbolic and Connectionist Techniques for Coordination in Natural Language

Stefan Wermter, S. Wermter, 1990, GWAI.

Spoken language classification using hybrid classifier combination

Stefan Wermter, Siobhan Devlin, Sheila Garfield, 2005, Int. J. Hybrid Intell. Syst..

Socially Assistive Robots: A Comprehensive Approach to Extending Independent Living

Elena Torta, Raymond H. Cuijpers, Georg Edelmayer, 2013, International Journal of Social Robotics.

Learning robot actions based on self-organising language memory

Stefan Wermter, Mark Elshaw, 2003, Neural Networks.

Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model

Stefan Wermter, Cornelius Weber, Junpei Zhong, 2012, ICANN.

Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model

Stefan Wermter, Cornelius Weber, Junpei Zhong, 2011, ICANN.

Robot docking with neural vision and reinforcement

Stefan Wermter, Cornelius Weber, Alexandros Zochios, 2004, Knowl. Based Syst..

Ball Localization for Robocup Soccer Using Convolutional Neural Networks

Stefan Wermter, Cornelius Weber, Pablo V. A. Barros, 2016, RoboCup.

Improving Domain-independent Cloud-Based Speech Recognition with Domain-Dependent Phonetic Post-Processing

Stefan Wermter, Stefan Heinrich, Johannes Twiefel, 2014, AAAI.

Neural Control of Actions Involving Different Coordinate Systems

Stefan Wermter, Mark Elshaw, Jochen Triesch, 2007 .

Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space

Stefan Wermter, Matthias Kerzel, Cornelius Weber, 2019, 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Data mining using rule extraction from Kohonen self-organising maps

Stefan Wermter, Chris Bowerman, James Malone, 2006, Neural Computing & Applications.

Person Tracking Based on a Hybrid Neural Probabilistic Model

Stefan Wermter, Cornelius Weber, Wenjie Yan, 2011, ICANN.

Reinforcement Learning Embedded in Brains and Robots

Stefan Wermter, Mark Elshaw, Jochen Triesch, 2008 .

Grasping with flexible viewing-direction with a learned coordinate transformation network

Stefan Wermter, Cornelius Weber, Konstantinos Karantzis, 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration pdf

Stefan Wermter, Brigitte Röder, German Ignacio Parisi, 2018, ArXiv.

Symbolic state transducers and recurrent neural preference machines for text mining

Stefan Wermter, Christo Panchev, Garen Arevian, 2003, Int. J. Approx. Reason..

Appearance-based localization for mobile robots using digital zoom and visual compass

Stefan Wermter, Nicola Bellotto, Eric Fletcher, 2008, Robotics Auton. Syst..

Lifelong learning of human actions with deep neural network self-organization

Stefan Wermter, Cornelius Weber, Jun Tani, 2017, Neural Networks.

Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization

Stefan Wermter, Cornelius Weber, Jun Tani, 2018, Front. Neurorobot..

Knowledge extraction from radial basis function networks and multilayer perceptrons

Stefan Wermter, John MacIntyre, Kenneth J. McGarry, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Neural End-to-End Self-learning of Visuomotor Skills by Environment Interaction

Stefan Wermter, Matthias Kerzel, 2017, ICANN.

Robust fall detection with an assistive humanoid robot

Stefan Wermter, Erik Strahl, German Ignacio Parisi, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

Agent-advising approaches in an interactive reinforcement learning scenario

Stefan Wermter, Sven Magg, Francisco Cruz, 2017, 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks pdf

Stefan Wermter, Sven Magg, Tobias Hinz, 2018, Int. J. Comput. Intell. Appl..

Robot Docking Based on Omnidirectional Vision and Reinforcement Learning

Stefan Wermter, Cornelius Weber, David Muse, 2005, SGAI Conf..

A biologically inspired spiking neural network model of the auditory midbrain for sound source localisation

Jindong Liu, Stefan Wermter, Harry R. Erwin, 2010, Neurocomputing.

Interactive Language Understanding with Multiple Timescale Recurrent Neural Networks

Stefan Wermter, Stefan Heinrich, 2014, ICANN.

Crossmodal Pattern Discrimination in Humans and Robots: A Visuo-Tactile Case Study

Jianwei Zhang, Stefan Wermter, Norman Hendrich, 2019, bioRxiv.

Continual Lifelong Learning with Neural Networks: A Review

Stefan Wermter, Ronald Kemker, Christopher Kanan, 2018, Neural Networks.

Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks pdf

Stefan Wermter, Cornelius Weber, Sven Magg, 2018, INTERSPEECH.

Towards Intelligent Social Robots: Social Cognitive Systems in Smart Environments

Stefan Wermter, Adriana Tapus, Tadahiro Taniguchi, 2017 .

A Hybrid and Connectionist Architecture for a Scanning Understanding

Stefan Wermter, 1992, ECAI.

Learning human motion feedback with neural self-organization

Stefan Wermter, Sven Magg, German Ignacio Parisi, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Solving visual object ambiguities when pointing: an unsupervised learning approach

Stefan Wermter, Matthias Kerzel, Doreen Jirak, 2020, Neural Computing and Applications.

Hybrid Neural Systems, revised papers from a workshop

Stefan Wermter, Ron Sun, 1998 .

Biomimetic Neural Learning for Intelligent Robots - Intelligent Systems, Cognitive Robotics, and Neuroscience

Günther Palm, Stefan Wermter, Mark Elshaw, 2005, Biomimetic Neural Learning for Intelligent Robots.

Hey robot, why don't you talk to me?

Stefan Wermter, Cornelius Weber, Thomas Hummel, 2017, 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks

Stefan Wermter, Sven Magg, Sayantan Auddy, 2019, 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

MIRA: A Learning Multimodal Interactive Robot Agent

Stefan Wermter, Michael Knowles, John C. Murray, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective pdf

Stefan Wermter, Cornelius Weber, Pablo V. A. Barros, 2019, ArXiv.

Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking

Stefan Wermter, Hwei Geok Ng, Sascha S. Griffiths, 2017, 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids).

Explainable Goal-driven Agents and Robots - A Comprehensive Review pdf

Stefan Wermter, Chu Kiong Loo, Fatai Sado, 2020, ACM Comput. Surv..

Continual Lifelong Learning with Neural Networks: A Review

Stefan Wermter, Ronald Kemker, Christopher Kanan, 2019, Neural Networks.

Spoken language processing in the hybrid connectionist architecture SCREEN

Stefan Wermter, Volker Weber, 1996 .

Stepwise Linear Regression Dimensionality Reduction in Neural Network Modelling

Stefan Wermter, John MacIntyre, Dale Addison, 2004 .

Interactive Spoken-Language Processing in a Hybrid Connectionist System

Stefan Wermter, Volker Weber, 1996, Computer.

A neural approach for robot navigation based on cognitive map learning

Stefan Wermter, Cornelius Weber, Wenjie Yan, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks

Xavier Hinaut, Stefan Wermter, S. Wermter, 2014, ICANN.

Interactive reinforcement learning through speech guidance in a domestic scenario

Stefan Wermter, Cornelius Weber, Sven Magg, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Robot docking based on omnidirectional vision and reinforcement learning

Stefan Wermter, Cornelius Weber, David Muse, 2006, Knowl. Based Syst..

A Multimodal Hierarchial Approach to Robot Learning by Imitation

Stefan Wermter, Cornelius Weber, Mark Elshaw, 2004 .

A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning

Stefan Wermter, Ron Sun, R. Sun, 1998, Hybrid Neural Systems.

Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic

Stefan Wermter, Cornelius Weber, Matthias Kerzel, 2018, ESANN.

Face expression recognition with a 2-channel Convolutional Neural Network

Stefan Wermter, Pablo V. A. Barros, Dennis Hamester, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Hybrid Approaches to Neural Network-based Language Processing

Stefan Wermter, S. Wermter, 1997 .

Continuous convolutional object tracking

Stefan Wermter, Stefan Heinrich, Peer Springstübe, 2018, ESANN.

Hybrid Parallel Classifiers for Semantic Subspace Learning

Stefan Wermter, Michael P. Oakes, Nandita Tripathi, 2011, ICANN.

Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network

Stefan Wermter, Cornelius Weber, Stefan Heinrich, 2012, ICANN.

Towards Computational Modelling of Neural Multimodal Integration Based on the Superior Colliculus Concept

Jindong Liu, Stefan Wermter, Michael Knowles, 2009, Innovations in Neural Information Paradigms and Applications.

Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification

Stefan Wermter, Pablo V. A. Barros, Pablo Barros, 2019, Front. Robot. AI.

A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot

Stefan Wermter, Cornelius Weber, Mark Elshaw, 2006, Knowl. Based Syst..

Object Localisation Using Laterally Connected "What" and "Where" Associator Networks

Stefan Wermter, Cornelius Weber, C. Weber, 2003, ICANN.

Artificial Neural Networks and Machine Learning – ICANN 2014

Günther Palm, Stefan Wermter, Cornelius Weber, 2014, Lecture Notes in Computer Science.

Learning auditory neural representations for emotion recognition

Stefan Wermter, Cornelius Weber, Pablo V. A. Barros, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Semantic subspace learning for text classification using hybrid intelligent techniques

Stefan Wermter, Michael P. Oakes, Nandita Tripathi, 2011, Int. J. Hybrid Intell. Syst..

Reward-driven learning of sensorimotor laws and visual features

Stefan Wermter, Cornelius Weber, Andreas K. Engel, 2011, 2011 IEEE International Conference on Development and Learning (ICDL).

Reusing Neural Speech Representations for Auditory Emotion Recognition pdf

Stefan Wermter, Cornelius Weber, Sven Magg, 2017, IJCNLP.

Hybrid Connectionist Natural Language Processing

Stefan Wermter, 1994 .

A Scalable Meta-Classifier Combining Search and Classification Techniques for Multi-Level Text Categorization

Stefan Wermter, Michael P. Oakes, Nandita Tripathi, 2015, Int. J. Comput. Intell. Appl..

Emotion Recognition from Body Expressions with a Neural Network Architecture

Stefan Wermter, Pablo V. A. Barros, German Ignacio Parisi, 2017, HAI.

A Self-Organising Hybrid Model for Dynamic Text Clustering

Stefan Wermter, Chihli Hung, 2003, SGAI Conf..

Crossmodal Pattern Discrimination in Humans and Robots: A Visuo-Tactile Case Study

Stefan Wermter, Norman Hendrich, Matthias Kerzel, 2020, Frontiers in Robotics and AI.

Improving interactive reinforcement learning: What makes a good teacher?

Stefan Wermter, Yukie Nagai, Sven Magg, 2018, Connect. Sci..

Learning dialog act processing

Stefan Wermter, Matthias Lochel, 1996, COLING.

Towards integrating learning by demonstration and learning by instruction in a multimodal robotic

Stefan Wermter, Mark Elshaw, Harry Erwin, 2003 .

Modeling development of natural multi-sensory integration using neural self-organisation and probabilistic population codes

Stefan Wermter, Jorge Dávila-Chacón, Johannes Bauer, 2015, Connect. Sci..

Semantic Role Labelling for Robot Instructions using Echo State Networks

Xavier Hinaut, Stefan Wermter, Johannes Twiefel, 2016, ESANN.

A Fast Subspace Text Categorization Method Using Parallel Classifiers

Stefan Wermter, Michael P. Oakes, Nandita Tripathi, 2012, CICLing.

Learning indoor robot navigation using visual and sensorimotor map information

Stefan Wermter, Cornelius Weber, Wenjie Yan, 2013, Front. Neurorobot..

Emotional expression recognition with a cross-channel convolutional neural network for human-robot interaction

Stefan Wermter, Cornelius Weber, Pablo V. A. Barros, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction

Stefan Wermter, German I. Parisi, Luiza Mici, 2017, IEEE Transactions on Cognitive and Developmental Systems.

Neural Networks for Detecting Irrelevant Questions During Visual Question Answering

Stefan Wermter, Cornelius Weber, Mengdi Li, 2020, ICANN.

Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances

Stefan Wermter, Sheila Garfield, S. Wermter, 2003, ICANN.

Recognition of Transitive Actions with Hierarchical Neural Network Learning

Stefan Wermter, German Ignacio Parisi, Luiza Mici, 2016, ICANN.

Modular preference Moore machines in news mining agents

Stefan Wermter, Garen Arevian, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Crossmodal Language Grounding, Learning, and Teaching

Zhiyuan Liu, Stefan Wermter, Cornelius Weber, 2016, CoCo@NIPS.

Training Agents With Interactive Reinforcement Learning and Contextual Affordances

Stefan Wermter, Cornelius Weber, Sven Magg, 2016, IEEE Transactions on Cognitive and Developmental Systems.

Localizing salient body motion in multi-person scenes using convolutional neural networks

Stefan Wermter, Doreen Jirak, Florian Letsch, 2019, Neurocomputing.

Learning Robot Vision for Assisted Living

Elena Torta, Raymond H. Cuijpers, Stefan Wermter, 2013 .

Reinforcement Learning with Time-dependent Goals for Robotic Musicians pdf

Stefan Wermter, Timo Gerkmann, Manfred Eppe, 2020, ArXiv.

Semi-supervised Phoneme Recognition with Recurrent Ladder Networks

Stefan Wermter, Tayfun Alpay, Johannes Twiefel, 2017, ICANN.

Learning Localisation Based on Landmarks Using Self-Organisation

Stefan Wermter, Cornelius Weber, Kaustubh Chokshi, 2003, ICANN.

Learning Fault-Tolerant Speech Parsing with SCREEN

Stefan Wermter, Volker Weber, S. Wermter, 1994, AAAI.

Exploring Human-Robot Trust Through the Investment Game: An Immersive Space Mission Scenario

Stefan Wermter, Tayfun Alpay, Erik Strahl, 2020, HAI.

A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera

Stefan Wermter, Cornelius Weber, Wenjie Yan, 2011, J. Ambient Intell. Smart Environ..

On the role of neurogenesis in overcoming catastrophic forgetting pdf

Xu Ji, Stefan Wermter, German Ignacio Parisi, 2018, ArXiv.

Designing a Personality-Driven Robot for a Human-Robot Interaction Scenario

Stefan Wermter, Tayfun Alpay, Sascha S. Griffiths, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations

Stefan Wermter, Sven Magg, Alexander Sutherland, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

EmoRL: Continuous Acoustic Emotion Classification Using Deep Reinforcement Learning

Stefan Wermter, Cornelius Weber, Sven Magg, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Robot Docking with Neural Vision and Reinforcement

Stefan Wermter, Cornelius Weber, Alexandros Zochios, 2003, SGAI Conf..

Reinforcement Learning in MirrorBot

Stefan Wermter, Cornelius Weber, Mark Elshaw, 2005, ICANN.

Improving Humanoid Robot Speech Recognition with Sound Source Localisation

Jindong Liu, Stefan Wermter, Johannes Twiefel, 2014, ICANN.

Dynamic gesture recognition using Echo State Networks

Stefan Wermter, Pablo V. A. Barros, Doreen Jirak, 2015, ESANN.

FINGeR: Framework for interactive neural-based gesture recognition

Stefan Wermter, Pablo V. A. Barros, German Ignacio Parisi, 2014, ESANN.

Deep intrinsically motivated continuous actor-critic for efficient robotic visuomotor skill learning

Stefan Wermter, Cornelius Weber, Matthias Kerzel, 2018, Paladyn J. Behav. Robotics.

Training without data: Knowledge Insertion into RBF Neural Networks

Stefan Wermter, Kenneth McGarry, 2005, IJCAI.

Hybrid classifiers based on semantic data subspaces for two-level text categorization

Stefan Wermter, Michael P. Oakes, Nandita Tripathi, 2013, Int. J. Hybrid Intell. Syst..

A neural wake-sleep learning architecture for associating robotic facial emotions

Stefan Wermter, Kevin Burn, Chi-Yung Yau, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks pdf

Stefan Wermter, Cornelius Weber, Sven Magg, 2018, LREC.

Modeling Neurons of the Inferior Colliculus

Stefan Wermter, Mark Elshaw, Harry Erwin, 2008 .

Towards constructive and destructive dynamic network configuration

Stefan Wermter, Manuela Meurer, 1996, ESANN.

Complex preferences for the integration of neural codes

Stefan Wermter, Christo Panchev, S. Wermter, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Crossmodal Language Grounding in an Embodied Neurocognitive Model

Stefan Wermter, Cornelius Weber, Yuan Yao, 2020, Frontiers in Neurorobotics.

Accelerating Deep Continuous Reinforcement Learning through Task Simplification

Stefan Wermter, Mohammad-Ali Zamani, Matthias Kerzel, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A Deep Neural Model for Emotion-Driven Multimodal Attention

Stefan Wermter, Pablo V. A. Barros, Xun Liu, 2017, AAAI Spring Symposia.

Humanoidly Speaking -How the Nao humanoid robot can learn the name of objects and interact with them through common speech

Xavier Hinaut, Stefan Wermter, Pablo Barros, 2015, IJCAI 2015.

Question Answering with Hierarchical Attention Networks

Stefan Wermter, Tayfun Alpay, Stefan Heinrich, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Bioinspired Auditory SoundLocalisation forImproving theSignal toNoise Ratio ofSocially Interactive Robots

Stefan Wermter, 2006 .

Learning contextual affordances with an associative neural architecture

Stefan Wermter, German Ignacio Parisi, Francisco Cruz, 2016, ESANN.

Image Segmentation by Complex-Valued Units

Stefan Wermter, Cornelius Weber, C. Weber, 2005, ICANN.

A predictive network architecture for a robust and smooth robot docking behavior

Stefan Wermter, Cornelius Weber, Junpei Zhong, 2012, Paladyn J. Behav. Robotics.

Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid

Stefan Wermter, Matthias Kerzel, Fares Abawi, 2019, 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Facial Expression Editing with Continuous Emotion Labels

Stefan Wermter, Henrique Siqueira, Pablo V. A. Barros, 2019, 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019).

AudioMine: Medical Data Mining in Heterogeneous Audiology Records

Stefan Wermter, Michael P. Oakes, Shaun Cox, 2007, International Conference on Computational Intelligence.

Towards Robust Speech Recognition for Human-Robot Interaction

Stefan Wermter, Stefan Heinrich, 2011 .

Recurrent Neural Learning for Helpdesk Call Routing

Stefan Wermter, Sheila Garfield, 2002, ICANN.

Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data

Stefan Wermter, Johannes Bauer, S. Wermter, 2013, IJCAI.

Grounding Neural Robot Language in Action

Stefan Wermter, Cornelius Weber, Mark Elshaw, 2005, Biomimetic Neural Learning for Intelligent Robots.

From the inferior colliculus to a computational sound localization model

Jindong Liu, Stefan Wermter, Harry Erwin, 2009 .

Artificial Neural Networks and Machine Learning – ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I

Stefan Wermter, Igor Farkaš, Paolo Masulli, 2020, ICANN.

Elden, L (2007). Matrix Methods in Data Mining and Pattern Recognition. Philadelphia (USA): Society for Industrial and Applied Mathematics

Stefan Wermter, Renato Cordeiro de Amorim, 2009, Cognitive Systems Research.

Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot

Stefan Wermter, Erik Strahl, Matthias Kerzel, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Temporal sequence detection with spiking neurons: towards recognizing robot language instructions

Stefan Wermter, Christo Panchev, S. Wermter, 2006, Connect. Sci..

Reinforcement Learning for Platform-Independent Visual Robot Control

Stefan Wermter, David Muse, Kevin Burn, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Emergence of multimodal action representations from neural network self-organization

Stefan Wermter, Cornelius Weber, Jun Tani, 2017, Cognitive Systems Research.

A hybrid generative and predictive model of the motor cortex

Stefan Wermter, Cornelius Weber, Mark Elshaw, 2006, Neural Networks.

Human motion assessment in real time using recurrent self-organization

Stefan Wermter, Sven Magg, German Ignacio Parisi, 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning

Stefan Wermter, Michael Knowles, S. Wermter, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading

Stefan Wermter, Cornelius Weber, Leyuan Qu, 2019, INTERSPEECH.

Knowledge Extraction from Transducer Neural Networks

Stefan Wermter, S. Wermter, 2004, Applied Intelligence.

Interactive natural language acquisition in a multi-modal recurrent neural architecture

Stefan Wermter, Stefan Heinrich, S. Wermter, 2017, Connect. Sci..

Haptic material classification with a multi-channel neural network

Stefan Wermter, Hwei Geok Ng, Matthias Kerzel, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Self-organizing neural integration of pose-motion features for human action recognition

Stefan Wermter, Cornelius Weber, German Ignacio Parisi, 2015, Front. Neurorobot..

A Recurrent Neural Network for Multiple Language Acquisition: Starting with English and French

Peter Ford Dominey, Xavier Hinaut, Stefan Wermter, 2015, CoCo@NIPS.

Syntactic reanalysis in language models for speech recognition

Xavier Hinaut, Stefan Wermter, Johannes Twiefel, 2017, 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Configuring the stochastic Helmholtz machine for subcortical emotional learning

Stefan Wermter, Kevin Burn, Chi-Yung Yau, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Recognition and Prediction of Human-Object Interactions with a Self-Organizing Architecture

Stefan Wermter, German Ignacio Parisi, Luiza Mici, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A neurocognitive approach to self-organisation of verb actions

Stefan Wermter, Mark Elshaw, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing

Ellen Riloff, Stefan Wermter, Gabriele Scheler, 1996, Lecture Notes in Computer Science.

Robotic self-representation improves manipulation skills and transfer learning pdf

Stefan Wermter, Manfred Eppe, Phuong D.H. Nguyen, 2020, ArXiv.

Using natural language feedback in a neuro-inspired integrated multimodal robotic architecture

Xavier Hinaut, Stefan Wermter, Erik Strahl, 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Incorporating Reactive Learning Behaviour into a Mini-robot Platform

Stefan Wermter, Mark Elshaw, Debra Lewis, 2003, SGAI Conf..

Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network

Stefan Wermter, Cornelius Weber, Stefan Heinrich, 2013, ICANN.

Image Generation and Translation with Disentangled Representations

Stefan Wermter, Tobias Hinz, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

An Overview of Hybrid Neural Systems

Stefan Wermter, Ron Sun, R. Sun, 1998, Hybrid Neural Systems.

Real-World Reinforcement Learning for Autonomous Humanoid Robot Charging in a Home Environment

Stefan Wermter, Cornelius Weber, Nicolás Navarro, 2011, TAROS.

Multimodal communication in animals, humans and robots: An introduction to perspectives in brain-inspired informatics

Stefan Wermter, Friedemann Pulvermüller, Vittorio Gallese, 2009, Neural Networks.

Action Selection Methods in a Robotic Reinforcement Learning Scenario

Stefan Wermter, Cornelius Weber, Francisco Cruz, 2018, 2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

Rule-extraction from radial basis function networks

Stefan Wermter, John Tait, John MacIntyre, 1999 .

A Mirror Neuron System for Syntax Acquisition

Stefan Wermter, Steve Womble, 2001, ICANN.

Hybrid Intelligent Systems and Cognitive Robotics

Stefan Wermter, 2005, HIS.

Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites

Stefan Wermter, Christo Panchev, Huixin Chen, 2002, ICANN.

Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance

Stefan Wermter, Cornelius Weber, Sven Magg, 2017, ICANN.

Evaluating Integration Strategies for Visuo-Haptic Object Recognition

Stefan Wermter, Nicolás Navarro, Sibel Toprak, 2017, Cognitive Computation.

Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network

Stefan Wermter, Pablo V. A. Barros, Eleni Tsironi, 2016, ESANN.

Improving reinforcement learning with interactive feedback and affordances

Stefan Wermter, Cornelius Weber, Sven Magg, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Towards End-to-End Raw Audio Music Synthesis

Stefan Wermter, Tayfun Alpay, Manfred Eppe, 2018, ICANN.

Network Analysis in a Neural Learning Internet Agent

Stefan Wermter, Christo Panchev, Garen Arevian, 2000 .

On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks

Stefan Wermter, Cornelius Weber, Sven Magg, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Curiosity-driven exploration enhances motor skills of continuous actor-critic learner

Stefan Wermter, Cornelius Weber, Muhammad Burhan Hafez, 2017, 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Effectiveness of feature extraction in neural network architectures for novelty detection

Stefan Wermter, John MacIntyre, J.F.D. Addison, 1999 .

Hybrid neural systems: from simple coupling to fully integrated neural networks

Stefan Wermter, John MacIntyre, Kenneth McGarry, 1999 .

A SOM-based model for multi-sensory integration in the superior colliculus

Stefan Wermter, Cornelius Weber, Johannes Bauer, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks

Stefan Wermter, Sheila Garfield, Kenneth McGarry, 2007, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07).

Attention modeled as information in learning multisensory integration

Stefan Wermter, Sven Magg, Johannes Bauer, 2015, Neural Networks.

Neural Hopfield-ensemble for multi-class head pose detection

Stefan Wermter, Sven Magg, Nils Meins, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Toward a self-organizing pre-symbolic neural model representing sensorimotor primitives

Angelo Cangelosi, Stefan Wermter, Junpei Zhong, 2014, Front. Behav. Neurosci..

HEBBIAN SPIKE-TIMING DEPENDENT SELF-ORGANIZATION IN PULSED NEURAL NETWORKS

Stefan Wermter, Christo Panchev, S. Wermter, 2001 .

Variational Autoencoder with Global- and Medium Timescale Auxiliaries for Emotion Recognition from Speech

Stefan Wermter, Cornelius Weber, Leyuan Qu, 2020, ICANN.

Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution pdf

Stefan Wermter, Pablo V. A. Barros, Sven Magg, 2018, ArXiv.

Learning Multiple Timescales in Recurrent Neural Networks

Stefan Wermter, Tayfun Alpay, Stefan Heinrich, 2016, ICANN.

Exploring Low-level and High-level Transfer Learning for Multi-task Facial Recognition with a Semi-supervised Neural Network

Stefan Wermter, Pablo Barros, Matthias Kerzel, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery

Stefan Wermter, Sheila Garfield, Kenneth McGarry, 2007, NeSy.

Konnektionistische/Hybride Verarbeitung Natürlicher Sprache, Zusammenfassung von der AAAI92, ECAI92, INSP92 und dem Workshop über "Neural Networks and a New AI"

Stefan Wermter, 1993, Künstliche Intell..

Clustering audiology data

Stefan Wermter, Naveed Anwar, Michael Oakes, 2010 .

Determining Cooperation in Multiagent Systems with Cultural Traits

Stefan Wermter, Markus Eberling, Stefan Heinrich, 2011, ICAART.

Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics

Stefan Wermter, Cornelius Weber, Sebastian Springenberg, 2019, INTERSPEECH.

Generating Multiple Objects at Spatially Distinct Locations pdf

Stefan Wermter, Tobias Hinz, Stefan Heinrich, 2019, ICLR.

The OMG-Emotion Behavior Dataset

Stefan Wermter, Henrique Siqueira, Pablo V. A. Barros, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments

Jindong Liu, Stefan Wermter, Harry R. Erwin, 2009, 2009 International Joint Conference on Neural Networks.

Reinforcement Learning for Scheduling of Maintenance

Stefan Wermter, David Baglee, Michael Knowles, 2010, SGAI Conf..

Incorporating End-to-End Speech Recognition Models for Sentiment Analysis

Stefan Wermter, Cornelius Weber, Sven Magg, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Neural Network Agents for Learning Semantic Text Classification

Stefan Wermter, S. Wermter, 2000, Information Retrieval.

Hybrid Neural Systems, LNAI 1778

Stefan Wermter, Christophe Giraud-Carrier, Rafal Bogacz, 2000 .

Compositional Learning of Human Activities With a Self-Organizing Neural Architecture

Stefan Wermter, German Ignacio Parisi, Luiza Mici, 2019, Front. Robot. AI.

A Personalized Affective Memory Neural Model for Improving Emotion Recognition

Stefan Wermter, Pablo V. A. Barros, German Ignacio Parisi, 2019, ICML.

Combining Articulatory Features with End-to-End Learning in Speech Recognition

Stefan Wermter, Cornelius Weber, Johannes Twiefel, 2018, ICANN.

A Personalized Affective Memory Neural Model for Improving Emotion Recognition pdf

Stefan Wermter, Pablo V. A. Barros, German Ignacio Parisi, 2019, ArXiv.

Sparse Autoencoders for Posture Recognition

Stefan Wermter, Doreen Jirak, S. Wermter, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Selforganizing Classification on the Reuters News Corpus

Stefan Wermter, Chihli Hung, S. Wermter, 2002, COLING.

Neuro-Genetic Visuomotor Architecture for Robotic Grasping

Stefan Wermter, Erik Strahl, Matthias Kerzel, 2020, ICANN.

A Robotic Home Assistant with Memory Aid Functionality

Stefan Wermter, Tobias Hinz, Stefan Heinrich, 2016, KI.

Meaning spotting and robustness of recurrent networks

Stefan Wermter, Christo Panchev, Garen Arevian, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Deep reinforcement learning using compositional representations for performing instructions

Stefan Wermter, Cornelius Weber, Sven Magg, 2018, Paladyn J. Behav. Robotics.

Affect-Driven Learning of Robot Behaviour for Collaborative Human-Robot Interactions pdf

Stefan Wermter, Pablo V. A. Barros, Pablo Barros, 2020, Frontiers in Robotics and AI.

A Hybrid Planning Strategy Through Learning from Vision for Target-Directed Navigation

Stefan Wermter, Cornelius Weber, Xiaomao Zhou, 2018, ICANN.

Integrating Image-Based and Knowledge-Based Representation Learning

Maosong Sun, Stefan Wermter, Cornelius Weber, 2020, IEEE Transactions on Cognitive and Developmental Systems.

Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)

Stefan Wermter, Sven Magg, Thomas Hellström, 2021, ICANN.

Auditory robotic tracking of sound sources using hybrid cross-correlation and recurrent networks

Stefan Wermter, Harry R. Erwin, John C. Murray, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Classification of MRI Migraine Medical Data Using 3D Convolutional Neural Network

Stefan Wermter, Hwei Geok Ng, Matthias Kerzel, 2018, ICANN.

What do Objects Feel Like? - Active Perception for a Humanoid Robot

Stefan Wermter, Andreas K. Engel, Jens Kleesiek, 2012, ICAART.

Adaboost and Hopfield Neural Networks on different image representations for robust face detection

Stefan Wermter, Cornelius Weber, Doreen Jirak, 2012, 2012 12th International Conference on Hybrid Intelligent Systems (HIS).

A dynamic adaptive self-organising hybrid model for text clustering

Stefan Wermter, Chihli Hung, S. Wermter, 2003, Third IEEE International Conference on Data Mining.

Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning

Stefan Wermter, German Ignacio Parisi, Francisco Cruz, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Teaching emotion expressions to a human companion robot using deep neural architectures

Stefan Wermter, Pablo V. A. Barros, Nikhil Churamani, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Hierarchical SOM-based detection of novel behavior for 3D human tracking

Stefan Wermter, German Ignacio Parisi, S. Wermter, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Surprisal-based activation in recurrent neural networks

Stefan Wermter, Tayfun Alpay, Fares Abawi, 2018, ESANN.

A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition

Stefan Wermter, Cornelius Weber, Henrique Siqueira, 2021, ESANN.

A self-organizing model for affective memory

Stefan Wermter, Pablo V. A. Barros, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Self-organisation of language instruction for robot action control

Stefan Wermter, Mark Elshaw, P. Watt, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs pdf

Stefan Wermter, Cornelius Weber, Sven Magg, 2018, ArXiv.

Continuous convolutional object tracking in developmental robot scenarios

Stefan Wermter, Stefan Heinrich, Matthias Kerzel, 2019, Neurocomputing.

The Effects of Regularization on Learning Facial Expressions with Convolutional Neural Networks

Stefan Wermter, Pablo V. A. Barros, Tobias Hinz, 2016, ICANN.

Learning approaches for natural language processing

Ellen Riloff, Stefan Wermter, Gabriele Scheler, 1995, Learning for Natural Language Processing.

De-noise-GAN: De-noising Images to Improve RoboCup Soccer Ball Detection

Stefan Wermter, Pablo V. A. Barros, Daniel Speck, 2018, ICANN.

Multimodal emotional state recognition using sequence-dependent deep hierarchical features

Stefan Wermter, Cornelius Weber, Pablo V. A. Barros, 2015, Neural Networks.

Knowledge Extraction from Local Function Networks

Stefan Wermter, John MacIntyre, Kenneth McGarry, 2001, IJCAI.

Towards Learning How to Properly Play UNO with the iCub Robot pdf

Alessandra Sciutti, Stefan Wermter, Pablo V. A. Barros, 2019, ArXiv.

Visual robot homing using Sarsa(λ), whole image measure, and radial basis function

Stefan Wermter, Abdulrahman Altahhan, Kevin Burn, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes

Stefan Wermter, Pablo V. A. Barros, Pablo Barros, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Object Detection and Pose Estimation Based on Convolutional Neural Networks Trained with Synthetic Data

Stefan Wermter, Matthias Kerzel, Lukas Posniak, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Developing crossmodal expression recognition based on a deep neural model

Stefan Wermter, Pablo V. A. Barros, S. Wermter, 2016, Adapt. Behav..

Recurrent Neural Network for syntax learning with flexible predicates for robotic architectures

Xavier Hinaut, Stefan Wermter, Johannes Twiefel, 2016, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues

Stefan Wermter, Chandrakant Bothe, 2019, SemEval@NAACL-HLT.

A Multi-modal Approach for Assistive Humanoid Robots

Stefan Wermter, Erik Strahl, German Ignacio Parisi, 2015, MuSRobS@IROS.

Learning a Scanning Understanding for "Real-world" Library Categorization

Stefan Wermter, 1992, ANLP.

Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation

Jindong Liu, Stefan Wermter, Jorge Dávila-Chacón, 2012, ICANN.

A Deep Neural Model Of Emotion Appraisal pdf

Stefan Wermter, Emilia I. Barakova, Pablo V. A. Barros, 2018, ArXiv.

Emotion-modulated attention improves expression recognition: A deep learning model

Stefan Wermter, Cornelius Weber, Pablo V. A. Barros, 2017, Neurocomputing.

From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving

Stefan Wermter, Manfred Eppe, Phuong D. H. Nguyen, 2019, Front. Robot. AI.

Lifelong Learning of Action Representations with Deep Neural Self-Organization

Stefan Wermter, German Ignacio Parisi, 2017, AAAI Spring Symposia.

Human Action Recognition with Hierarchical Growing Neural Gas Learning

Stefan Wermter, Cornelius Weber, German Ignacio Parisi, 2014, ICANN.

Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering

Stefan Wermter, Chihli Hung, Peter Smith, 2004, ECIR.

Hybrid classifiers for improved semantic subspace learning of news documents

Stefan Wermter, Michael P. Oakes, Nandita Tripathi, 2011, 2011 11th International Conference on Hybrid Intelligent Systems (HIS).

Potentials and Limitations of Deep Neural Networks for Cognitive Robots pdf

Stefan Wermter, Doreen Jirak, S. Wermter, 2018, ArXiv.

Recognizing complex mental states with deep hierarchical features for Human-Robot Interaction

Stefan Wermter, Pablo V. A. Barros, S. Wermter, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

The Present and the Future of Hybrid Neural Symbolic Systems: Some Reflections from the NIPS Workshop

Stefan Wermter, Ron Sun, 2001, AI Mag..

Improved estimation of hand postures using depth images

Stefan Wermter, Doreen Jirak, Dennis Hamester, 2013, 2013 16th International Conference on Advanced Robotics (ICAR).

The Extraction and Comparison of Knowledge from Local Function Networks

Stefan Wermter, John MacIntyre, Kenneth McGarry, 2001, Int. J. Comput. Intell. Appl..

Using hybrid connectionist learning for speech/language analysis

Stefan Wermter, Volker Weber, 1995, Learning for Natural Language Processing.

Neural Network Based Document Clustering Using WordNet Ontologies

Stefan Wermter, Chihli Hung, S. Wermter, 2004, Int. J. Hybrid Intell. Syst..

A Biologically Inspired Spiking Neural Network for Sound Localisation by the Inferior Colliculus

Jindong Liu, Stefan Wermter, Harry R. Erwin, 2008, ICANN.

Sensorimotor representation learning for an "active self" in robots: A model survey pdf

Stefan Wermter, Manfred Eppe, Phuong D.H. Nguyen, 2020, ArXiv.

A Multichannel Convolutional Neural Network for Hand Posture Recognition

Stefan Wermter, Cornelius Weber, Pablo V. A. Barros, 2014, ICANN.

A neurocomputational amygdala model of auditory fear conditioning: A hybrid system approach

Stefan Wermter, Nicolás Navarro, Robert J. Lowe, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Activity recognition with echo state networks using 3D body joints and objects category

Xavier Hinaut, Stefan Wermter, Luiza Mici, 2016, ESANN.

Hybrid preference machines based on inspiration from neuroscience

Stefan Wermter, Christo Panchev, S. Wermter, 2002, Cognitive Systems Research.

Real-time gesture recognition using a humanoid robot with a deep neural architecture

Stefan Wermter, Pablo V. A. Barros, German Ignacio Parisi, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

Point Cloud Object Recognition using 3D Convolutional Neural Networks

Stefan Wermter, Marcelo Borghetti Soares, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

An analysis of subtask-dependency in robot command interpretation with dilated CNNs

Stefan Wermter, Tayfun Alpay, Fares Abawi, 2018, ESANN.

RatSLAM on Humanoids - A Bio-Inspired SLAM Model Adapted to a Humanoid Robot

Stefan Wermter, Cornelius Weber, Stefan Müller, 2014, ICANN.

Real-world reinforcement learning for autonomous humanoid robot docking

Stefan Wermter, Cornelius Weber, Nicolás Navarro, 2012, Robotics Auton. Syst..

Unsupervised Expectation Learning for Multisensory Binding

Stefan Wermter, Pablo Barros, Manfred Eppe, 2018 .

PREC 2019: Personal Robots for Exercising and Coaching

Stefan Wermter, Britta Wrede, Sebastian Schneider, 2018, 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Social Cognition, Marilynn B. Brewer, Miles J. Hewstone (Eds.); Blackwell Publishing, 2004, 368 pages

Stefan Wermter, Richa Yadav, 2009, Cognitive Systems Research.

Robot sound localisation neural network inspired by the inferior colliculus

Stefan Wermter, David Pérez-González, Adrian Rees, 2008 .

Image-to-Text Transduction with Spatial Self-Attention

Stefan Wermter, Cornelius Weber, Sebastian Springenberg, 2018, ESANN.

Learning objects from RGB-D sensors using point cloud-based neural networks

Stefan Wermter, Pablo V. A. Barros, Marcelo Borghetti Soares, 2015, ESANN.

A self-organizing neural network architecture for learning human-object interactions pdf

Stefan Wermter, German Ignacio Parisi, Luiza Mici, 2017, Neurocomputing.

Semantic Subspace Learning with conditional significance vectors

Stefan Wermter, Chihli Hung, Michael P. Oakes, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Action-Driven Perception for a Humanoid

Stefan Wermter, Andreas K. Engel, Jens Kleesiek, 2012, ICAART.

KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos pdf

Stefan Wermter, Cornelius Weber, Sven Magg, 2018, EMNLP.

Hear the Egg - Demonstrating Robotic Interactive Auditory Perception

Stefan Wermter, Sascha S. Griffiths, Erik Strahl, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization

Jindong Liu, Stefan Wermter, Jorge Dávila-Chacón, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario

Stefan Wermter, Johannes Twiefel, German Ignacio Parisi, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Self-Organising Networks for Classification Learning from Normal and Aphasic Speech

Stefan Wermter, Mark Elshaw, Sheila Garfield, 2001 .

Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception pdf

Stefan Wermter, Pablo V. A. Barros, Brigitte Röder, 2018, ArXiv.

A Camera-Direction Dependent Visual-Motor Coordinate Transformation for a Visually Guided Neural Robot

Stefan Wermter, Cornelius Weber, Mark Elshaw, 2005, SGAI Conf..

Neuro-Robotic Haptic Object Classification by Active Exploration on a Novel Dataset

Stefan Wermter, Erik Strahl, Matthias Kerzel, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Adaptive and Variational Continuous Time Recurrent Neural Networks

Stefan Wermter, Tayfun Alpay, Stefan Heinrich, 2018, 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Mirror neurons and feedback learning

Stefan Wermter, Steve Womble, 2002 .

The effects on adaptive behaviour of negatively valenced signals in reinforcement learning

Stefan Wermter, Nicolás Navarro, Robert J. Lowe, 2017, 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Towards Novel Neuroscience-Inspired Computing

Stefan Wermter, Mark Elshaw, Jim Austin, 2001, Emergent Neural Computational Architectures Based on Neuroscience.

Preserving activations in recurrent neural networks based on surprisal

Stefan Wermter, Tayfun Alpay, Fares Abawi, 2019, Neurocomputing.

Integration of Semantic and Syntactic Constraints for Structural Noun Phrase Disambiguation

Stefan Wermter, 1989, IJCAI.

Learning Empathy-Driven Emotion Expressions using Affective Modulations

Stefan Wermter, Pablo V. A. Barros, Nikhil Churamani, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Image Invariant Robot Navigation Based on Self Organising Neural Place Codes

Stefan Wermter, Christo Panchev, Kevin Burn, 2005, Biomimetic Neural Learning for Intelligent Robots.

Comparison of Behaviour-Based Architectures for a Collaborative Package Delivery Task

Stefan Wermter, Nicolás Navarro, Melanie Remmels, 2017, HAI.

A self-organizing map of sigma-pi units

Stefan Wermter, Cornelius Weber, C. Weber, 2007, Neurocomputing.

Preference Moore Machines for Neural Fuzzy Integration

Stefan Wermter, S. Wermter, 1999, IJCAI.

Rule generation from neural networks for student assessment

Stefan Wermter, M. J. McAlister, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Improving Robot Motor Learning with Negatively Valenced Reinforcement Signals

Stefan Wermter, Nicolás Navarro, Robert J. Lowe, 2017, Front. Neurorobot..

Mobile robot broadband sound localisation using a biologically inspired spiking neural network

Jindong Liu, Stefan Wermter, Harry R. Erwin, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Analysing the Multiple Timescale Recurrent Neural Network for Embodied Language Understanding

Stefan Wermter, Sven Magg, Stefan Heinrich, 2015 .

NICO — Neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction

Stefan Wermter, Sven Magg, Stefan Heinrich, 2017, 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Hybrid neural document clustering using guided self-organization and WordNet

Stefan Wermter, Peter Smith, Chihli Hung, 2004, IEEE Intelligent Systems.

A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots

Stefan Wermter, Harry R. Erwin, John C. Murray, 2005, Biomimetic Neural Learning for Intelligent Robots.

GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection pdf

Stefan Wermter, Chandrakant Bothe, Egor Lakomkin, 2017, WASSA@EMNLP.

Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain

Jindong Liu, Stefan Wermter, Harry R. Erwin, 2009, ICANN.

An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition

Stefan Wermter, Cornelius Weber, Pablo V. A. Barros, 2017, Neurocomputing.

Continual Learning from Synthetic Data for a Humanoid Exercise Robot pdf

Stefan Wermter, Matthias Kerzel, Nicolas Duczek, 2021, ArXiv.

Controlling the Noise Robustness of End-to-End Automatic Speech Recognition Systems

Stefan Wermter, Cornelius Weber, Johannes Twiefel, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Exercise with Social Robots: Companion or Coach? pdf

Stefan Wermter, Tayfun Alpay, Sascha S. Griffiths, 2021, ArXiv.

Lifelong Learning from Event-based Data pdf

Stefan Wermter, Cornelius Weber, Chu Kiong Loo, 2021, ESANN 2021 proceedings.

How Can AI Recognize Pain and Express Empathy pdf

Stefan Wermter, Pablo V. A. Barros, Pablo Barros, 2021, ArXiv.

WoZ4U: An Open-Source Wizard-of-Oz Interface for Easy, Efficient and Robust HRI Experiments

Stefan Wermter, Thomas Hellström, Suna Bensch, 2021, Frontiers in Robotics and AI.

Developmental Robotics and its Role Towards Artificial General Intelligence

Stefan Wermter, Yukie Nagai, Verena V. Hafner, 2021, Künstliche Intell..

A Humanoid Robot Learning Audiovisual Classification By Active Exploration

Stefan Wermter, Erik Strahl, Matthias Kerzel, 2021, 2021 IEEE International Conference on Development and Learning (ICDL).

Guest Editorial: Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health

Antônio de Pádua Braga, Stefan Wermter, Vasile Palade, 2021, IEEE Trans. Neural Networks Learn. Syst..

Survey on reinforcement learning for language processing pdf

Stefan Wermter, Cornelius Weber, Nicolás Navarro, 2021, Artificial Intelligence Review.

FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection pdf

Stefan Wermter, Cornelius Weber, Hugo C. C. Carneiro, 2021, ICANN.

Visual Distant Supervision for Scene Graph Generation pdf

Zhiyuan Liu, Maosong Sun, Stefan Wermter, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Generalization in Multimodal Language Learning from Simulation

Stefan Wermter, Cornelius Weber, Jae Hee Lee, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

A trained humanoid robot can perform human-like crossmodal social attention conflict resolution pdf

Stefan Wermter, Di Fu, Erik Strahl, 2021, ArXiv.

Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data

Stefan Wermter, Pablo V. A. Barros, Ognjen Rudovic, 2021, IEEE Trans. Affect. Comput..

LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading pdf

Stefan Wermter, Cornelius Weber, Leyuan Qu, 2021, ArXiv.

GASP: Gated Attention for Saliency Prediction

Stefan Wermter, Fares Abawi, Tom Weber, 2021, IJCAI.

Robotic Occlusion Reasoning for Efficient Object Existence Prediction

Stefan Wermter, Cornelius Weber, Jae Hee Lee, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Pruning Neural Networks with Supermasks

Stefan Wermter, Matthias Kerzel, Vincent Rolfs, 2021, ESANN 2021 proceedings.

Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision

Stefan Wermter, Cornelius Weber, Muhammad Burhan Hafez, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

DRILL: Dynamic Representations for Imbalanced Lifelong Learning pdf

Stefan Wermter, Fares Abawi, Kyra Ahrens, 2021, ICANN.

Planning-integrated Policy for Efficient Reinforcement Learning in Sparse-reward Environments

Stefan Wermter, Cornelius Weber, Christoper Wulur, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

An Immersive Investment Game to Study Human-Robot Trust

Stefan Wermter, Tayfun Alpay, Erik Strahl, 2021, Frontiers in Robotics and AI.

Behavior Self-Organization Supports Task Inference for Continual Robot Learning

Stefan Wermter, Muhammad Burhan Hafez, S. Wermter, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder

Stefan Wermter, Timo Gerkmann, Guillaume Carbajal, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing pdf

Stefan Wermter, Matthew Fisher, Eli Shechtman, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART Ensembles

Stefan Wermter, Chu Kiong Loo, Wei Shiung Liew, 2021, IEEE Access.

Embodied Language Learning with Paired Variational Autoencoders

Stefan Wermter, Matthias Kerzel, Ozan Özdemir, 2021, 2021 IEEE International Conference on Development and Learning (ICDL).

Language Model-Based Paired Variational Autoencoders for Robotic Language Learning pdf

Stefan Wermter, Cornelius Weber, Matthias Kerzel, 2022, ArXiv.

Learning Then, Learning Now, and Every Second in Between: Lifelong Learning With a Simulated Humanoid Robot

Stefan Wermter, Matthias Kerzel, Aleksej Logacjov, 2021, Frontiers in Neurorobotics.

Data Mining Audiology Records with the Chi-squared Test and Self-Organising Maps

Stefan Wermter, Michael Oakes, Shaun Cox, 2005 .