Integration of Semantic and Syntactic Constraints for Structural Noun Phrase Disambiguation. - Stefan Wermter (IJCAI, 1989)

Combining Symbolic and Connectionist Techniques for Coordination in Natural Language. - Stefan Wermter (GWAI, 1990)

Learning a Scanning Understanding for "Real-world" Library Categorization. - Stefan Wermter (ANLP, 1992)

A Hybrid and Connectionist Architecture for a Scanning Understanding. - Stefan Wermter (ECAI, 1992)

Konnektionistische/Hybride Verarbeitung Natürlicher Sprache, Zusammenfassung von der AAAI92, ECAI92, INSP92 und dem Workshop über "Neural Networks and a New AI". - Stefan Wermter (Künstliche Intell., 1993)

A hybrid connectionist approach for a scanning understanding of natural language phrases. - Stefan Wermter (1993)

Learning Fault-Tolerant Speech Parsing with SCREEN. - Stefan Wermter; Volker Weber (AAAI, 1994)

Using hybrid connectionist learning for speech/language analysis. - Volker Weber; Stefan Wermter (Learning for Natural Language Processing, 1995)

Learning approaches for natural language processing. - Stefan Wermter; Ellen Riloff; Gabriele Scheler (Learning for Natural Language Processing, 1995)

Learning dialog act processing. - Stefan Wermter; Matthias Lochel (COLING, 1996)

Towards constructive and destructive dynamic network configuration. - Stefan Wermter; Manuela Meurer (ESANN, 1996)

Interactive Spoken-Language Processing in a Hybrid Connectionist System. - Stefan Wermter; Volker Weber (Computer, 1996)

SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks. - Stefan Wermter; Volker Weber (J. Artif. Intell. Res., 1997)

Towards Hybrid Neural Learning Internet Agents. - Stefan Wermter; Garen Arevian; Christo Panchev (Hybrid Neural Systems, 1998)

An Overview of Hybrid Neural Systems. - Stefan Wermter; Ron Sun (Hybrid Neural Systems, 1998)

Hybrid Neural Plausibility Networks for News Agents. - Stefan Wermter; Christo Panchev; Garen Arevian (AAAI/IAAI, 1999)

Preference Moore Machines for Neural Fuzzy Integration. - Stefan Wermter (IJCAI, 1999)

Rule generation from neural networks for student assessment. - M. J. McAlister; Stefan Wermter (IJCNN, 1999)

Knowledge extraction from radial basis function networks and multilayer perceptrons. - Kenneth J. McGarry; Stefan Wermter; John MacIntyre (IJCNN, 1999)

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

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

Knowledge Extraction from Transducer Neural Networks. - Stefan Wermter (Appl. Intell., 2000)

Neural Fuzzy Preference Integration Using Neural Preference Moore Machines. - Stefan Wermter (Int. J. Neural Syst., 2000)

Neural Network Agents for Learning Semantic Text Classification. - Stefan Wermter (Inf. Retr., 2000)

A Mirror Neuron System for Syntax Acquisition. - Steve Womble; Stefan Wermter (ICANN, 2001)

Knowledge Extraction from Local Function Networks. - Kenneth McGarry; Stefan Wermter; John MacIntyre (IJCAI, 2001)

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

The Present and the Future of Hybrid Neural Symbolic Systems: Some Reflections from the NIPS Workshop. - Stefan Wermter; Ron Sun (AI Mag., 2001)

The Extraction and Comparison of Knowledge from Local Function Networks. - Kenneth McGarry; Stefan Wermter; John MacIntyre (Int. J. Comput. Intell. Appl., 2001)

Selforganizing Classification on the Reuters News Corpus. - Stefan Wermter; Chihli Hung (COLING, 2002)

Recurrent Neural Learning for Helpdesk Call Routing. - Sheila Garfield; Stefan Wermter (ICANN, 2002)

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

Hybrid preference machines based on inspiration from neuroscience. - Stefan Wermter; Christo Panchev (Cogn. Syst. Res., 2002)

Learning Localisation Based on Landmarks Using Self-Organisation. - Kaustubh Chokshi; Stefan Wermter; Cornelius Weber (ICANN, 2003)

Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances. - Sheila Garfield; Stefan Wermter (ICANN, 2003)

Object Localisation Using Laterally Connected "What" and "Where" Associator Networks. - Cornelius Weber; Stefan Wermter (ICANN, 2003)

A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering. - Chihli Hung; Stefan Wermter (ICDM, 2003)

Self-organisation of language instruction for robot action control. - Mark Elshaw; Stefan Wermter; Peter Watt (IJCNN, 2003)

Incorporating Reactive Learning Behaviour into a Mini-robot Platform. - Mark Elshaw; Debra Lewis; Stefan Wermter (SGAI Conf., 2003)

A Self-Organising Hybrid Model for Dynamic Text Clustering. - Chihli Hung; Stefan Wermter (SGAI Conf., 2003)

A modular approach to self-organization of robot control based on language instruction. - Stefan Wermter; Mark Elshaw; Simon Farrand (Connect. Sci., 2003)

Symbolic state transducers and recurrent neural preference machines for text mining. - Garen Arevian; Stefan Wermter; Christo Panchev (Int. J. Approx. Reason., 2003)

Learning robot actions based on self-organising language memory. - Stefan Wermter; Mark Elshaw (Neural Networks, 2003)

Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering. - Chihli Hung; Stefan Wermter; Peter Smith (ECIR, 2004)

Knowing what and where: a computational model for visual attention. - Kaustubh Chokshi; Christo Panchev; Stefan Wermter; John G. Taylor (IJCNN, 2004)

Self organising neural place codes for vision based robot navigation. - Kaustubh Chokshi; Stefan Wermter; Christo Panchev; Kevin Burn (IJCNN, 2004)

An associator network approach to robot learning by imitation through vision, motor control and language. - Mark Elshaw; Cornelius Weber; Alexandros Zochios; Stefan Wermter (IJCNN, 2004)

A time-based self-organising model for document clustering. - Chihli Hung; Stefan Wermter (IJCNN, 2004)

AudioMine: Medical Data Mining in Heterogeneous Audiology Records. - Shaun Cox; Michael P. Oakes; Stefan Wermter; Maurice Hawthorne (International Conference on Computational Intelligence, 2004)

Hybrid Neural Document Clustering Using Guided Self-Organization and WordNet. - Chihli Hung; Stefan Wermter; Peter Smith (IEEE Intell. Syst., 2004)

Neural Network Based Document Clustering Using WordNet Ontologies. - Chihli Hung; Stefan Wermter (Int. J. Hybrid Intell. Syst., 2004)

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

Robot docking with neural vision and reinforcement. - Cornelius Weber; Stefan Wermter; Alexandros Zochios (Knowl. Based Syst., 2004)

Towards multimodal neural robot learning. - Stefan Wermter; Cornelius Weber; Mark Elshaw; Christo Panchev; Harry R. Erwin; Friedemann Pulvermüller (Robotics Auton. Syst., 2004)

Hybrid Intelligent Systems and Cognitive Robotics. - Stefan Wermter (HIS, 2005)

Grasping with flexible viewing-direction with a learned coordinate transformation network. - Cornelius Weber; Konstantinos Karantzis; Stefan Wermter (Humanoids, 2005)

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

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

Training without data: Knowledge Insertion into RBF Neural Networks. - Kenneth McGarry; Stefan Wermter (IJCAI, 2005)

A constructive and hierarchical self-organizing model in a non-stationary environment. - Chihli Hung; Stefan Wermter (IJCNN, 2005)

Spatio-temporal neural data mining architecture in learning robots. - James Malone; Mark Elshaw; Ken McGarry; Chris Bowerman; Stefan Wermter (IJCNN, 2005)

A recurrent neural network for sound-source motion tracking and prediction. - John C. Murray; Harry R. Erwin; Stefan Wermter (IJCNN, 2005)

Auditory robotic tracking of sound sources using hybrid cross-correlation and recurrent networks. - John C. Murray; Stefan Wermter; Harry R. Erwin (IROS, 2005)

Image Invariant Robot Navigation Based on Self Organising Neural Place Codes. - Kaustubh Chokshi; Stefan Wermter; Christo Panchev; Kevin Burn (Biomimetic Neural Learning for Intelligent Robots, 2005)

A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots. - John C. Murray; Harry R. Erwin; Stefan Wermter (Biomimetic Neural Learning for Intelligent Robots, 2005)

Towards Biomimetic Neural Learning for Intelligent Robots. - Stefan Wermter; Günther Palm; Cornelius Weber; Mark Elshaw (Biomimetic Neural Learning for Intelligent Robots, 2005)

Grounding Neural Robot Language in Action. - Stefan Wermter; Cornelius Weber; Mark Elshaw; Vittorio Gallese; Friedemann Pulvermüller (Biomimetic Neural Learning for Intelligent Robots, 2005)

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

Reinforcement Learning for Platform-Independent Visual Robot Control. - David Muse; Kevin Burn; Stefan Wermter (IJCNN, 2006)

Bioinspired Auditory Sound Localisation for Improving the Signal to Noise Ratio of Socially Interactive Robots. - John C. Murray; Stefan Wermter; Harry R. Erwin (IROS, 2006)

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

Call classification using recurrent neural networks, support vector machines and finite state automata. - Sheila Garfield; Stefan Wermter (Knowl. Inf. Syst., 2006)

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

A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot. - Cornelius Weber; David Muse; Mark Elshaw; Stefan Wermter (Knowl. Based Syst., 2006)

Data mining using rule extraction from Kohonen self-organising maps. - James Malone; Kenneth McGarry; Stefan Wermter; Chris Bowerman (Neural Comput. Appl., 2006)

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

Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks. - Kenneth McGarry; Sheila Garfield; Stefan Wermter (CBMS, 2007)

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

A self-organizing map of sigma-pi units. - Cornelius Weber; Stefan Wermter (Neurocomputing, 2007)

The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning. - Michael John Knowles; Stefan Wermter (HIS, 2008)

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

A Biologically Inspired Spiking Neural Network for Sound Localisation by the Inferior Colliculus. - Jindong Liu; Harry R. Erwin; Stefan Wermter; Mahmoud Elsaid (ICANN (2), 2008)

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

Hybrid learning architecture for unobtrusive infrared tracking support. - K. K. Kiran Bhagat; Stefan Wermter; Kevin Burn (IJCNN, 2008)

A neural wake-sleep learning architecture for associating robotic facial emotions. - Chi-Yung Yau; Kevin Burn; Stefan Wermter (IJCNN, 2008)

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

A novel self-organising clustering model for time-event documents. - Chihli Hung; Stefan Wermter (Electron. Libr., 2008)

Appearance-based localization for mobile robots using digital zoom and visual compass. - Nicola Bellotto; Kevin Burn; Eric Fletcher; Stefan Wermter (Robotics Auton. Syst., 2008)

Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain. - Jindong Liu; David Pérez-González; Adrian Rees; Harry R. Erwin; Stefan Wermter (ICANN (1), 2009)

A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments. - Jindong Liu; David Pérez-González; Adrian Rees; Harry R. Erwin; Stefan Wermter (IJCNN, 2009)

Actor-Critic Learning for Platform-Independent Robot Navigation. - David Muse; Stefan Wermter (Cogn. Comput., 2009)

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 (Cogn. Syst. Res., 2009)

Social Cognition, Marilynn B. Brewer, Miles J. Hewstone (Eds.); Blackwell Publishing, 2004, 368 pages. - Richa Yadav; Stefan Wermter (Cogn. Syst. Res., 2009)

Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. - John C. Murray; Harry R. Erwin; Stefan Wermter (Neural Networks, 2009)

Multimodal communication in animals, humans and robots: An introduction to perspectives in brain-inspired informatics. - Stefan Wermter; M. Page; Michael Knowles; Vittorio Gallese; Friedemann Pulvermüller; John G. Taylor (Neural Networks, 2009)

Towards Computational Modelling of Neural Multimodal Integration Based on the Superior Colliculus Concept. - Kiran Kumar Ravulakollu; Michael Knowles; Jindong Liu; Stefan Wermter (Innovations in Neural Information Paradigms and Applications, 2009)

Semantic Subspace Learning with conditional significance vectors. - Nandita Tripathi; Stefan Wermter; Chihli Hung; Michael P. Oakes (IJCNN, 2010)

Configuring the stochastic Helmholtz machine for subcortical emotional learning. - Chi-Yung Yau; Kevin Burn; Stefan Wermter (IJCNN, 2010)

Reinforcement Learning for Scheduling of Maintenance. - Michael Knowles; David Baglee; Stefan Wermter (SGAI Conf., 2010)

A biologically inspired spiking neural network model of the auditory midbrain for sound source localisation. - Jindong Liu; David Pérez-González; Adrian Rees; Harry R. Erwin; Stefan Wermter (Neurocomputing, 2010)

Hybrid classifiers for improved semantic subspace learning of news documents. - Nandita Tripathi; Michael P. Oakes; Stefan Wermter (HIS, 2011)

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

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

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

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

Reward-driven learning of sensorimotor laws and visual features. - Jens Kleesiek; Andreas K. Engel; Cornelius Weber; Stefan Wermter (ICDL-EPIROB, 2011)

Real-World Reinforcement Learning for Autonomous Humanoid Robot Charging in a Home Environment. - Nicolás Navarro-Guerrero; Cornelius Weber; Stefan Wermter (TAROS, 2011)

Semantic subspace learning for text classification using hybrid intelligent techniques. - Nandita Tripathi; Michael P. Oakes; Stefan Wermter (Int. J. Hybrid Intell. Syst., 2011)

A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera. - Wenjie Yan; Cornelius Weber; Stefan Wermter (J. Ambient Intell. Smart Environ., 2011)

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

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

What do Objects Feel Like? - Active Perception for a Humanoid Robot. - Jens Kleesiek; Stephanie Badde; Stefan Wermter; Andreas K. Engel (ICAART (1), 2012)

Action-Driven Perception for a Humanoid. - Jens Kleesiek; Stephanie Badde; Stefan Wermter; Andreas K. Engel (ICAART (Revised Selected Papers), 2012)

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

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

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

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

A SOM-based model for multi-sensory integration in the superior colliculus. - Johannes Bauer 002; Cornelius Weber; Stefan Wermter (IJCNN, 2012)

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

A neural approach for robot navigation based on cognitive map learning. - Wenjie Yan; Cornelius Weber; Stefan Wermter (IJCNN, 2012)

Smoke and mirrors - Virtual realities for sensor fusion experiments in biomimetic robotics. - Johannes Bauer 002; Jorge Dávila-Chacón; Erik Strahl; Stefan Wermter (MFI, 2012)

Special issue on advances in developmental robotics. - Francesca Stramandinoli; Angelo Cangelosi; Stefan Wermter (Paladyn J. Behav. Robotics, 2012)

A predictive network architecture for a robust and smooth robot docking behavior. - Junpei Zhong; Cornelius Weber; Stefan Wermter (Paladyn J. Behav. Robotics, 2012)

Real-world reinforcement learning for autonomous humanoid robot docking. - Nicolás Navarro-Guerrero; Cornelius Weber; Pascal Schroeter; Stefan Wermter (Robotics Auton. Syst., 2012)

Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network. - Stefan Heinrich; Cornelius Weber; Stefan Wermter (ICANN, 2013)

Improved estimation of hand postures using depth images. - Dennis Hamester; Doreen Jirak; Stefan Wermter (ICAR, 2013)

Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data. - Johannes Bauer 002; Stefan Wermter (IJCAI, 2013)

Neural and statistical processing of spatial cues for sound source localisation. - Jorge Dávila-Chacón; Sven Magg; Jindong Liu; Stefan Wermter (IJCNN, 2013)

Neural Hopfield-ensemble for multi-class head pose detection. - Nils Meins; Sven Magg; Stefan Wermter (IJCNN, 2013)

Hierarchical SOM-based detection of novel behavior for 3D human tracking. - German Ignacio Parisi; Stefan Wermter (IJCNN, 2013)

Learning indoor robot navigation using visual and sensorimotor map information. - Wenjie Yan; Cornelius Weber; Stefan Wermter (Frontiers Neurorobotics, 2013)

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

Improving Domain-independent Cloud-Based Speech Recognition with Domain-Dependent Phonetic Post-Processing. - Johannes Twiefel; Timo Baumann; Stefan Heinrich; Stefan Wermter (AAAI, 2014)

FINGeR: Framework for interactive neural-based gesture recognition. - German Ignacio Parisi; Pablo V. A. Barros; Stefan Wermter (ESANN, 2014)

Real-time gesture recognition using a humanoid robot with a deep neural architecture. - Pablo V. A. Barros; German Ignacio Parisi; Doreen Jirak; Stefan Wermter (Humanoids, 2014)

Robust fall detection with an assistive humanoid robot. - German Ignacio Parisi; Erik Strahl; Stefan Wermter (Humanoids, 2014)

A Multichannel Convolutional Neural Network for Hand Posture Recognition. - Pablo V. A. Barros; Sven Magg; Cornelius Weber; Stefan Wermter (ICANN, 2014)

Improving Humanoid Robot Speech Recognition with Sound Source Localisation. - Jorge Dávila-Chacón; Johannes Twiefel; Jindong Liu; Stefan Wermter (ICANN, 2014)

Interactive Language Understanding with Multiple Timescale Recurrent Neural Networks. - Stefan Heinrich; Stefan Wermter (ICANN, 2014)

An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks. - Xavier Hinaut; Stefan Wermter (ICANN, 2014)

RatSLAM on Humanoids - A Bio-Inspired SLAM Model Adapted to a Humanoid Robot. - Stefan Müller; Cornelius Weber; Stefan Wermter (ICANN, 2014)

Human Action Recognition with Hierarchical Growing Neural Gas Learning. - German Ignacio Parisi; Cornelius Weber; Stefan Wermter (ICANN, 2014)

Improving reinforcement learning with interactive feedback and affordances. - Francisco Cruz 002; Sven Magg; Cornelius Weber; Stefan Wermter (ICDL-EPIROB, 2014)

HandSOM - neural clustering of hand motion for gesture recognition in real time. - German Ignacio Parisi; Doreen Jirak; Stefan Wermter (RO-MAN, 2014)

Socially Assistive Robots: A Comprehensive Approach to Extending Independent Living. - David O. Johnson; Raymond H. Cuijpers; James F. Juola; Elena Torta; Mikhail Simonov; Antonella Frisiello; Marco Bazzani; Wenjie Yan; Cornelius Weber; Stefan Wermter; Nils Meins; Johannes Oberzaucher; et al. (Int. J. Soc. Robotics, 2014)

Dynamic gesture recognition using Echo State Networks. - Doreen Jirak; Pablo V. A. Barros; Stefan Wermter (ESANN, 2015)

Learning objects from RGB-D sensors using point cloud-based neural networks. - Marcelo Borghetti Soares; Pablo V. A. Barros; German Ignacio Parisi; Stefan Wermter (ESANN, 2015)

Emotional expression recognition with a cross-channel convolutional neural network for human-robot interaction. - Pablo V. A. Barros; Cornelius Weber; Stefan Wermter (Humanoids, 2015)

Interactive reinforcement learning through speech guidance in a domestic scenario. - Francisco Cruz 002; Johannes Twiefel; Sven Magg; Cornelius Weber; Stefan Wermter (IJCNN, 2015)

Face expression recognition with a 2-channel Convolutional Neural Network. - Dennis Hamester; Pablo V. A. Barros; Stefan Wermter (IJCNN, 2015)

Learning human motion feedback with neural self-organization. - German Ignacio Parisi; Florian von Stosch; Sven Magg; Stefan Wermter (IJCNN, 2015)

Recognizing complex mental states with deep hierarchical features for Human-Robot Interaction. - Pablo V. A. Barros; Stefan Wermter (IROS, 2015)

A Multi-modal Approach for Assistive Humanoid Robots. - German Ignacio Parisi; Johannes Bauer 002; Erik Strahl; Stefan Wermter (MuSRobS@IROS, 2015)

A Recurrent Neural Network for Multiple Language Acquisition: Starting with English and French. - Xavier Hinaut; Johannes Twiefel; Maxime Petit; Peter Ford Dominey; Stefan Wermter (CoCo@NIPS, 2015)

Modeling development of natural multi-sensory integration using neural self-organisation and probabilistic population codes. - Johannes Bauer 002; Jorge Dávila-Chacón; Stefan Wermter (Connect. Sci., 2015)

Self-organizing neural integration of pose-motion features for human action recognition. - German Ignacio Parisi; Cornelius Weber; Stefan Wermter (Frontiers Neurorobotics, 2015)

A Scalable Meta-Classifier Combining Search and Classification Techniques for Multi-Level Text Categorization. - Nandita Tripathi; Michael P. Oakes; Stefan Wermter (Int. J. Comput. Intell. Appl., 2015)

Multimodal emotional state recognition using sequence-dependent deep hierarchical features. - Pablo V. A. Barros; Doreen Jirak; Cornelius Weber; Stefan Wermter (Neural Networks, 2015)

Attention modeled as information in learning multisensory integration. - Johannes Bauer 002; Sven Magg; Stefan Wermter (Neural Networks, 2015)

Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks. - Vidwath Raj; Sven Magg; Stefan Wermter (ANNPR, 2016)

Learning contextual affordances with an associative neural architecture. - Francisco Cruz 002; German Ignacio Parisi; Stefan Wermter (ESANN, 2016)

Activity recognition with echo state networks using 3D body joints and objects category. - Luiza Mici; Xavier Hinaut; Stefan Wermter (ESANN, 2016)

Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network. - Eleni Tsironi; Pablo V. A. Barros; Stefan Wermter (ESANN, 2016)

Semantic Role Labelling for Robot Instructions using Echo State Networks. - Johannes Twiefel; Xavier Hinaut; Stefan Wermter (ESANN, 2016)

Learning Multiple Timescales in Recurrent Neural Networks. - Tayfun Alpay; Stefan Heinrich; Stefan Wermter (ICANN (1), 2016)

The Effects of Regularization on Learning Facial Expressions with Convolutional Neural Networks. - Tobias Hinz; Pablo V. A. Barros; Stefan Wermter (ICANN (2), 2016)

Recognition of Transitive Actions with Hierarchical Neural Network Learning. - Luiza Mici; German Ignacio Parisi; Stefan Wermter (ICANN (2), 2016)

Recurrent Neural Network for syntax learning with flexible predicates for robotic architectures. - Xavier Hinaut; Johannes Twiefel; Stefan Wermter (ICDL-EPIROB, 2016)

Learning auditory neural representations for emotion recognition. - Pablo V. A. Barros; Cornelius Weber; Stefan Wermter (IJCNN, 2016)

Understanding how deep neural networks learn face expressions. - Nima Mousavi; Henrique Siqueira; Pablo V. A. Barros; Bruno J. T. Fernandes; Stefan Wermter (IJCNN, 2016)

Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario. - Francisco Cruz 002; German Ignacio Parisi; Johannes Twiefel; Stefan Wermter (IROS, 2016)

A Robotic Home Assistant with Memory Aid Functionality. - Iris Wieser; Sibel Toprak; Andreas Grenzing; Tobias Hinz; Sayantan Auddy; Ethem Can Karaoguz; Abhilash Chandran; Melanie Remmels; Ahmed El Shinawi; Josip Josifovski; Leena Chennuru Vankadara; Faiz Ul Wahab; et al. (KI, 2016)

Crossmodal Language Grounding, Learning, and Teaching. - Stefan Heinrich; Cornelius Weber; Stefan Wermter; Ruobing Xie; Yankai Lin; Zhiyuan Liu 001 (CoCo@NIPS, 2016)

Human motion assessment in real time using recurrent self-organization. - German Ignacio Parisi; Sven Magg; Stefan Wermter (RO-MAN, 2016)

Using natural language feedback in a neuro-inspired integrated multimodal robotic architecture. - Johannes Twiefel; Xavier Hinaut; Marcelo Borghetti Soares; Erik Strahl; Stefan Wermter (RO-MAN, 2016)

Ball Localization for Robocup Soccer Using Convolutional Neural Networks. - Daniel Speck; Pablo V. A. Barros; Cornelius Weber; Stefan Wermter (RoboCup, 2016)

Developing crossmodal expression recognition based on a deep neural model. - Pablo V. A. Barros; Stefan Wermter (Adapt. Behav., 2016)

Training Agents With Interactive Reinforcement Learning and Contextual Affordances. - Francisco Cruz 002; Sven Magg; Cornelius Weber; Stefan Wermter (IEEE Trans. Cogn. Dev. Syst., 2016)

A Deep Neural Model for Emotion-Driven Multimodal Attention. - German Ignacio Parisi; Pablo V. A. Barros; Haiyan Wu; Guochun Yang; Zhenghan Li; Xun Liu 001; Stefan Wermter (AAAI Spring Symposia, 2017)

Lifelong Learning of Action Representations with Deep Neural Self-Organization. - German Ignacio Parisi; Stefan Wermter (AAAI Spring Symposia, 2017)

Automatically augmenting an emotion dataset improves classification using audio. - Egor Lakomkin; Cornelius Weber; Stefan Wermter (EACL (2), 2017)

The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios. - Nikhil Churamani; Paul Anton; Marc Brügger; Erik Fließwasser; Thomas Hummel 001; Julius Mayer 001; Waleed Mustafa; Hwei Geok Ng; Thi Linh Chi Nguyen; Quan Nguyen 005; Marcus Soll; Sebastian Springenberg; et al. (HAI, 2017)

Emotion Recognition from Body Expressions with a Neural Network Architecture. - Nourhan Elfaramawy; Pablo V. A. Barros; German Ignacio Parisi; Stefan Wermter (HAI, 2017)

Comparison of Behaviour-Based Architectures for a Collaborative Package Delivery Task. - Melanie Remmels; Nicolás Navarro-Guerrero; Stefan Wermter (HAI, 2017)

Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking. - Manfred Eppe; Matthias Kerzel; Sascha S. Griffiths; Hwei Geok Ng; Stefan Wermter (Humanoids, 2017)

Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance. - Chandrakant Bothe; Sven Magg; Cornelius Weber; Stefan Wermter (ICANN (2), 2017)

Neural End-to-End Self-learning of Visuomotor Skills by Environment Interaction. - Matthias Kerzel; Stefan Wermter (ICANN (1), 2017)

Semi-supervised Phoneme Recognition with Recurrent Ladder Networks. - Marian Tietz; Tayfun Alpay; Johannes Twiefel; Stefan Wermter (ICANN (1), 2017)

Robot Localization and Orientation Detection Based on Place Cells and Head-Direction Cells. - Xiaomao Zhou; Cornelius Weber; Stefan Wermter (ICANN (1), 2017)

Agent-advising approaches in an interactive reinforcement learning scenario. - Francisco Cruz 002; Peter Wuppen; Sven Magg; Alvin Fazrie; Stefan Wermter (ICDL-EPIROB, 2017)

Curiosity-driven exploration enhances motor skills of continuous actor-critic learner. - Muhammad Burhan Hafez; Cornelius Weber; Stefan Wermter (ICDL-EPIROB, 2017)

The effects on adaptive behaviour of negatively valenced signals in reinforcement learning. - Nicolás Navarro-Guerrero; Robert J. Lowe; Stefan Wermter (ICDL-EPIROB, 2017)

A computational model of crossmodal processing for conflict resolution. - German Ignacio Parisi; Pablo V. A. Barros; Matthias Kerzel; Haiyan Wu; Guochun Yang; Zhenghan Li; Xun Liu 001; Stefan Wermter (ICDL-EPIROB, 2017)

Syntactic reanalysis in language models for speech recognition. - Johannes Twiefel; Xavier Hinaut; Stefan Wermter (ICDL-EPIROB, 2017)

Reusing Neural Speech Representations for Auditory Emotion Recognition. - Egor Lakomkin; Cornelius Weber; Sven Magg; Stefan Wermter (IJCNLP(1), 2017)

A self-organizing model for affective memory. - Pablo V. A. Barros; Stefan Wermter (IJCNN, 2017)

Teaching emotion expressions to a human companion robot using deep neural architectures. - Nikhil Churamani; Matthias Kerzel; Erik Strahl; Pablo V. A. Barros; Stefan Wermter (IJCNN, 2017)

Haptic material classification with a multi-channel neural network. - Matthias Kerzel; Moaaz Ali; Hwei Geok Ng; Stefan Wermter (IJCNN, 2017)

NICO - Neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction. - Matthias Kerzel; Erik Strahl; Sven Magg; Nicolás Navarro-Guerrero; Stefan Heinrich; Stefan Wermter (RO-MAN, 2017)

Hey robot, why don't you talk to me? - Hwei Geok Ng; Paul Anton; Marc Brügger; Nikhil Churamani; Erik Fließwasser; Thomas Hummel 001; Julius Mayer 001; Waleed Mustafa; Thi Linh Chi Nguyen; Quan Nguyen 005; Marcus Soll; Sebastian Springenberg; et al. (RO-MAN, 2017)

GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection. - Egor Lakomkin; Chandrakant Bothe; Stefan Wermter (WASSA@EMNLP, 2017)

Emergence of multimodal action representations from neural network self-organization. - German Ignacio Parisi; Jun Tani; Cornelius Weber; Stefan Wermter (Cogn. Syst. Res., 2017)

Improving Robot Motor Learning with Negatively Valenced Reinforcement Signals. - Nicolás Navarro-Guerrero; Robert J. Lowe; Stefan Wermter (Frontiers Neurorobotics, 2017)

Emotion-modulated attention improves expression recognition: A deep learning model. - Pablo V. A. Barros; German Ignacio Parisi; Cornelius Weber; Stefan Wermter (Neurocomputing, 2017)

An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition. - Eleni Tsironi; Pablo V. A. Barros; Cornelius Weber; Stefan Wermter (Neurocomputing, 2017)

Lifelong learning of human actions with deep neural network self-organization. - German Ignacio Parisi; Jun Tani; Cornelius Weber; Stefan Wermter (Neural Networks, 2017)

KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos. - Egor Lakomkin; Sven Magg; Cornelius Weber; Stefan Wermter (EMNLP (Demonstration), 2018)

Surprisal-based activation in recurrent neural networks. - Tayfun Alpay; Fares Abawi; Stefan Wermter (ESANN, 2018)

An analysis of subtask-dependency in robot command interpretation with dilated CNNs. - Manfred Eppe; Tayfun Alpay; Fares Abawi; Stefan Wermter (ESANN, 2018)

Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic. - Muhammad Burhan Hafez; Matthias Kerzel; Cornelius Weber; Stefan Wermter (ESANN, 2018)

Inferencing based on unsupervised learning of disentangled representations. - Tobias Hinz; Stefan Wermter (ESANN, 2018)

A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition. - Henrique Siqueira; Pablo V. A. Barros; Sven Magg; Cornelius Weber; Stefan Wermter (ESANN, 2018)

Image-to-Text Transduction with Spatial Self-Attention. - Sebastian Springenberg; Egor Lakomkin; Cornelius Weber; Stefan Wermter (ESANN, 2018)

Continuous convolutional object tracking. - Peer Springstübe; Stefan Heinrich; Stefan Wermter (ESANN, 2018)

PREC 2018: Personal Robots for Exercising and Coaching. - Sebastian Schneider 001; Britta Wrede; Carlos A. Cifuentes; Sascha S. Griffiths; Stefan Wermter (HRI (Companion), 2018)

Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue. - Henrique Siqueira; Alexander Sutherland; Pablo V. A. Barros; Matthias Kerzel; Sven Magg; Stefan Wermter (Humanoids, 2018)

Towards End-to-End Raw Audio Music Synthesis. - Manfred Eppe; Tayfun Alpay; Stefan Wermter (ICANN (3), 2018)

Classification of MRI Migraine Medical Data Using 3D Convolutional Neural Network. - Hwei Geok Ng; Matthias Kerzel; Jan Mehnert; Arne May; Stefan Wermter (ICANN (3), 2018)

Combining Articulatory Features with End-to-End Learning in Speech Recognition. - Leyuan Qu; Cornelius Weber; Egor Lakomkin; Johannes Twiefel; Stefan Wermter (ICANN (3), 2018)

De-noise-GAN: De-noising Images to Improve RoboCup Soccer Ball Detection. - Daniel Speck; Pablo V. A. Barros; Stefan Wermter (ICANN (3), 2018)

A Hybrid Planning Strategy Through Learning from Vision for Target-Directed Navigation. - Xiaomao Zhou; Cornelius Weber; Chandrakant Bothe; Stefan Wermter (ICANN (2), 2018)

Adaptive and Variational Continuous Time Recurrent Neural Networks. - Stefan Heinrich; Tayfun Alpay; Stefan Wermter (ICDL-EPIROB, 2018)

EmoRL: Continuous Acoustic Emotion Classification Using Deep Reinforcement Learning. - Egor Lakomkin; Mohammad-Ali Zamani; Cornelius Weber; Sven Magg; Stefan Wermter (ICRA, 2018)

Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning. - Francisco Cruz 002; German Ignacio Parisi; Stefan Wermter (IJCNN, 2018)

The OMG-Emotion Behavior Dataset. - Pablo V. A. Barros; Nikhil Churamani; Egor Lakomkin; Henrique Siqueira; Alexander Sutherland; Stefan Wermter (IJCNN, 2018)

Expectation Learning and Crossmodal Modulation with a Deep Adversarial Network. - Pablo V. A. Barros; German Ignacio Parisi; Di Fu; Xun Liu 001; Stefan Wermter (IJCNN, 2018)

Learning Empathy-Driven Emotion Expressions using Affective Modulations. - Nikhil Churamani; Pablo V. A. Barros; Erik Strahl; Stefan Wermter (IJCNN, 2018)

Image Generation and Translation with Disentangled Representations. - Tobias Hinz; Stefan Wermter (IJCNN, 2018)

Sparse Autoencoders for Posture Recognition. - Doreen Jirak; Stefan Wermter (IJCNN, 2018)

Accelerating Deep Continuous Reinforcement Learning through Task Simplification. - Matthias Kerzel; Hadi Beik-Mohammadi; Mohammad-Ali Zamani; Stefan Wermter (IJCNN, 2018)

Recognition and Prediction of Human-Object Interactions with a Self-Organizing Architecture. - Luiza Mici; German Ignacio Parisi; Stefan Wermter (IJCNN, 2018)

Point Cloud Object Recognition using 3D Convolutional Neural Networks. - Marcelo Borghetti Soares; Stefan Wermter (IJCNN, 2018)

A Self-organizing Method for Robot Navigation based on Learned Place and Head-Direction Cells. - Xiaomao Zhou; Cornelius Weber; Stefan Wermter (IJCNN, 2018)

Conversational Analysis Using Utterance-level Attention-based Bidirectional Recurrent Neural Networks. - Chandrakant Bothe; Sven Magg; Cornelius Weber; Stefan Wermter (INTERSPEECH, 2018)

Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot. - Manfred Eppe; Matthias Kerzel; Erik Strahl; Stefan Wermter (IROS, 2018)

Object Detection and Pose Estimation Based on Convolutional Neural Networks Trained with Synthetic Data. - Josip Josifovski; Matthias Kerzel; Christoph Pregizer; Lukas Posniak; Stefan Wermter (IROS, 2018)

On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks. - Egor Lakomkin; Mohammad-Ali Zamani; Cornelius Weber; Sven Magg; Stefan Wermter (IROS, 2018)

A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments. - German Ignacio Parisi; Pablo V. A. Barros; Di Fu; Sven Magg; Haiyan Wu; Xun Liu 001; Stefan Wermter (IROS, 2018)

An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions. - Henrique Siqueira; Pablo V. A. Barros; Sven Magg; Stefan Wermter (IROS, 2018)

Hear the Egg - Demonstrating Robotic Interactive Auditory Perception. - Erik Strahl; Matthias Kerzel; Manfred Eppe; Sascha S. Griffiths; Stefan Wermter (IROS, 2018)

Action Selection Methods in a Robotic Reinforcement Learning Scenario. - Francisco Cruz 002; Peter Wuppen; Alvin Fazrie; Cornelius Weber; Stefan Wermter (LA-CCI, 2018)

A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks. - Chandrakant Bothe; Cornelius Weber; Sven Magg; Stefan Wermter (LREC, 2018)

Towards Dialogue-Based Navigation with Multivariate Adaptation Driven by Intention and Politeness for Social Robots. - Chandrakant Bothe; Fernando García 006; Arturo Cruz-Maya; Amit Kumar Pandey; Stefan Wermter (ICSR, 2018)

Evaluating Integration Strategies for Visuo-Haptic Object Recognition. - Sibel Toprak; Nicolás Navarro-Guerrero; Stefan Wermter (Cogn. Comput., 2018)

Improving interactive reinforcement learning: What makes a good teacher? - Francisco Cruz 002; Sven Magg; Yukie Nagai; Stefan Wermter (Connect. Sci., 2018)

Interactive natural language acquisition in a multi-modal recurrent neural architecture. - Stefan Heinrich; Stefan Wermter (Connect. Sci., 2018)

Expectation Learning for Adaptive Crossmodal Stimuli Association. - Pablo V. A. Barros; German Ignacio Parisi; Di Fu; Xun Liu 001; Stefan Wermter (CoRR, 2018)

Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration. - Jonathan Tong; German Ignacio Parisi; Stefan Wermter; Brigitte Röder (CoRR, 2018)

Potentials and Limitations of Deep Neural Networks for Cognitive Robots. - Doreen Jirak; Stefan Wermter (CoRR, 2018)

Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs. - Chandrakant Bothe; Sven Magg; Cornelius Weber; Stefan Wermter (CoRR, 2018)

Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception. - German Ignacio Parisi; Jonathan Tong; Pablo V. A. Barros; Brigitte Röder; Stefan Wermter (CoRR, 2018)

A Deep Neural Model Of Emotion Appraisal. - Pablo V. A. Barros; Emilia I. Barakova; Stefan Wermter (CoRR, 2018)

Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution. - Di Fu; Pablo V. A. Barros; German Ignacio Parisi; Haiyan Wu; Sven Magg; Xun Liu 001; Stefan Wermter (CoRR, 2018)

On the role of neurogenesis in overcoming catastrophic forgetting. - German Ignacio Parisi; Xu Ji; Stefan Wermter (CoRR, 2018)

Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization. - German Ignacio Parisi; Jun Tani; Cornelius Weber; Stefan Wermter (Frontiers Neurorobotics, 2018)

Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks. - Tobias Hinz; Nicolás Navarro-Guerrero; Sven Magg; Stefan Wermter (Int. J. Comput. Intell. Appl., 2018)

A self-organizing neural network architecture for learning human-object interactions. - Luiza Mici; German Ignacio Parisi; Stefan Wermter (Neurocomputing, 2018)

Deep reinforcement learning using compositional representations for performing instructions. - Mohammad-Ali Zamani; Sven Magg; Cornelius Weber; Stefan Wermter; Di Fu (Paladyn J. Behav. Robotics, 2018)

An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction. - Luiza Mici; German Ignacio Parisi; Stefan Wermter (IEEE Trans. Cogn. Dev. Syst., 2018)

The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling. - Pablo V. A. Barros; Nikhil Churamani; Angelica Lim; Stefan Wermter (ACII, 2019)

A Neurorobotic Experiment for Crossmodal Conflict Resolution. - German Ignacio Parisi; Pablo V. A. Barros; Di Fu; Sven Magg; Haiyan Wu; Xun Liu 001; Stefan Wermter (CVPR Workshops, 2019)

Facial Expression Editing with Continuous Emotion Labels. - Alexandra Lindt; Pablo V. A. Barros; Henrique Siqueira; Stefan Wermter (FG, 2019)

Mixed-Reality Deep Reinforcement Learning for a Reach-to-grasp Task. - Hadi Beik-Mohammadi; Mohammad-Ali Zamani; Matthias Kerzel; Stefan Wermter (ICANN (1), 2019)

Evaluating Defensive Distillation for Defending Text Processing Neural Networks Against Adversarial Examples. - Marcus Soll; Tobias Hinz; Sven Magg; Stefan Wermter (ICANN (3), 2019)

A Reservoir Computing Framework for Continuous Gesture Recognition. - Stephan Tietz; Doreen Jirak; Stefan Wermter (ICANN (Workshop), 2019)

Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. - Sayantan Auddy; Sven Magg; Stefan Wermter (ICDL-EPIROB, 2019)

Curriculum goal masking for continuous deep reinforcement learning. - Manfred Eppe; Sven Magg; Stefan Wermter (ICDL-EPIROB, 2019)

Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space. - Muhammad Burhan Hafez; Cornelius Weber; Matthias Kerzel; Stefan Wermter (ICDL-EPIROB, 2019)

Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid. - Matthias Kerzel; Manfred Eppe; Stefan Heinrich; Fares Abawi; Stefan Wermter (ICDL-EPIROB, 2019)

Generating Multiple Objects at Spatially Distinct Locations. - Tobias Hinz; Stefan Heinrich; Stefan Wermter (ICLR (Poster), 2019)

A Personalized Affective Memory Model for Improving Emotion Recognition. - Pablo V. A. Barros; German Ignacio Parisi; Stefan Wermter (ICML, 2019)

Incorporating End-to-End Speech Recognition Models for Sentiment Analysis. - Egor Lakomkin; Mohammad-Ali Zamani; Cornelius Weber; Sven Magg; Stefan Wermter (ICRA, 2019)

Designing a Personality-Driven Robot for a Human-Robot Interaction Scenario. - Hadi Beik-Mohammadi; Nikoletta Xirakia; Fares Abawi; Irina Barykina; Krishnan Chandran; Gitanjali Nair; Cuong Nguyen; Daniel Speck; Tayfun Alpay; Sascha S. Griffiths; Stefan Heinrich; Erik Strahl; et al. (ICRA, 2019)

Question Answering with Hierarchical Attention Networks. - Tayfun Alpay; Stefan Heinrich; Michael Nelskamp; Stefan Wermter (IJCNN, 2019)

Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. - Muhammad Burhan Hafez; Cornelius Weber; Matthias Kerzel; Stefan Wermter (IJCNN, 2019)

Neuro-Robotic Haptic Object Classification by Active Exploration on a Novel Dataset. - Matthias Kerzel; Erik Strahl; Connor Gaede; Emil Gasanov; Stefan Wermter (IJCNN, 2019)

Effect of Pruning on Catastrophic Forgetting in Growing Dual Memory Networks. - Wei Shiung Liew; Chu Kiong Loo; Vadym Gryshchuk; Cornelius Weber; Stefan Wermter (IJCNN, 2019)

The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes. - Ahmed Marzouk; Pablo V. A. Barros; Manfred Eppe; Stefan Wermter (IJCNN, 2019)

Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations. - Alexander Sutherland; Sven Magg; Stefan Wermter (IJCNN, 2019)

LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading. - Leyuan Qu; Cornelius Weber; Stefan Wermter (INTERSPEECH, 2019)

Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics. - Sebastian Springenberg; Egor Lakomkin; Cornelius Weber; Stefan Wermter (INTERSPEECH, 2019)

Exploring Low-level and High-level Transfer Learning for Multi-task Facial Recognition with a Semi-supervised Neural Network. - Pablo V. A. Barros; Erik Fließwasser; Matthias Kerzel; Stefan Wermter (IROS, 2019)

MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues. - Chandrakant Bothe; Stefan Wermter (SemEval@NAACL-HLT, 2019)

Virtual or Physical? Social Robots Teaching a Fictional Language Through a Role-Playing Game Inspired by Game of Thrones. - Hassan Ali 005; Shreyans Bhansali; Ilay Köksal; Matthias Möller; Theresa Pekarek-Rosin; Sachin Sharma; Ann-Katrin Thebille; Julian Tobergte; Sören Hübner; Aleksej Logacjov; Ozan Özdemir; Jose Rodriguez Parra; et al. (ICSR, 2019)

A Personalized Affective Memory Neural Model for Improving Emotion Recognition. - Pablo V. A. Barros; German Ignacio Parisi; Stefan Wermter (CoRR, 2019)

From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use. - Manfred Eppe; Phuong D. H. Nguyen; Stefan Wermter (CoRR, 2019)

Towards Learning How to Properly Play UNO with the iCub Robot. - Pablo V. A. Barros; Stefan Wermter; Alessandra Sciutti (CoRR, 2019)

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective. - Di Fu; Cornelius Weber; Guochun Yang; Matthias Kerzel; Weizhi Nan; Pablo V. A. Barros; Haiyan Wu; Xun Liu 001; Stefan Wermter (CoRR, 2019)

Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators. - Chandrakant Bothe; Cornelius Weber; Sven Magg; Stefan Wermter (CoRR, 2019)

Bootstrapping Knowledge Graphs From Images and Text. - Jiayuan Mao; Yuan Yao 011; Stefan Heinrich; Tobias Hinz; Cornelius Weber; Stefan Wermter; Zhiyuan Liu 001; Maosong Sun 001 (Frontiers Neurorobotics, 2019)

Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification. - Pablo V. A. Barros; Manfred Eppe; German Ignacio Parisi; Xun Liu 001; Stefan Wermter (Frontiers Robotics AI, 2019)

From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving. - Manfred Eppe; Phuong D. H. Nguyen; Stefan Wermter (Frontiers Robotics AI, 2019)

Compositional Learning of Human Activities With a Self-Organizing Neural Architecture. - Luiza Mici; German Ignacio Parisi; Stefan Wermter (Frontiers Robotics AI, 2019)

A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure. - Naoki Masuyama; Chu Kiong Loo; Stefan Wermter (Int. J. Neural Syst., 2019)

Preserving activations in recurrent neural networks based on surprisal. - Tayfun Alpay; Fares Abawi; Stefan Wermter (Neurocomputing, 2019)

Continuous convolutional object tracking in developmental robot scenarios. - Stefan Heinrich; Peer Springstübe; Tobias Knöppler; Matthias Kerzel; Stefan Wermter (Neurocomputing, 2019)

Localizing salient body motion in multi-person scenes using convolutional neural networks. - Florian Letsch; Doreen Jirak; Stefan Wermter (Neurocomputing, 2019)

Continual lifelong learning with neural networks: A review. - German Ignacio Parisi; Ronald Kemker; Jose L. Part; Christopher Kanan; Stefan Wermter (Neural Networks, 2019)

Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning. - Muhammad Burhan Hafez; Cornelius Weber; Matthias Kerzel; Stefan Wermter (Paladyn J. Behav. Robotics, 2019)

Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization. - Jorge Dávila-Chacón; Jindong Liu; Stefan Wermter (IEEE Trans. Neural Networks Learn. Syst., 2019)

Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks. - Henrique Siqueira; Sven Magg; Stefan Wermter (AAAI, 2020)

New Results on Sparse Autoencoders for Posture Classification and Segmentation. - Doreen Jirak; Stefan Wermter (ESANN, 2020)

Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions Recognition. - Gin Chong Lee; Chu Kiong Loo; Wei Shiung Liew; Stefan Wermter (ESANN, 2020)

Exploring Human-Robot Trust Through the Investment Game: An Immersive Space Mission Scenario. - Emy Arts; Sebastian Zörner; Kavish Bhatia; Glareh Mir; Florian Schmalzl; Ankit Srivastava; Brenda Vasiljevic; Tayfun Alpay; Annika Peters; Erik Strahl; Stefan Wermter (HAI, 2020)

Variational Autoencoder with Global- and Medium Timescale Auxiliaries for Emotion Recognition from Speech. - Hussam Almotlak; Cornelius Weber; Leyuan Qu; Stefan Wermter (ICANN (1), 2020)

Neuro-Genetic Visuomotor Architecture for Robotic Grasping. - Matthias Kerzel; Josua Spisak; Erik Strahl; Stefan Wermter (ICANN (2), 2020)

Neural Networks for Detecting Irrelevant Questions During Visual Question Answering. - Mengdi Li; Cornelius Weber; Stefan Wermter (ICANN (2), 2020)

Curious Hierarchical Actor-Critic Reinforcement Learning. - Frank Röder; Manfred Eppe; Phuong D. H. Nguyen; Stefan Wermter (ICANN (2), 2020)

Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE). - Alexander Sutherland; Suna Bensch; Thomas Hellström; Sven Magg; Stefan Wermter (ICANN (1), 2020)

Multimodal Target Speech Separation with Voice and Face References. - Leyuan Qu; Cornelius Weber; Stefan Wermter (INTERSPEECH, 2020)

EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators. - Chandrakant Bothe; Cornelius Weber; Sven Magg; Stefan Wermter (LREC, 2020)

Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning. - Hadi Beik-Mohammadi; Matthias Kerzel; Benedikt Pleintinger; Thomas Hulin; Philipp Reisich; Annika Schmidt; Aaron Pereira; Stefan Wermter; Neal Y. Lii (RO-MAN, 2020)

Explainable Goal-Driven Agents and Robots - A Comprehensive Review and New Framework. - Fatai Sado; Chu Kiong Loo; Matthias Kerzel; Stefan Wermter (CoRR, 2020)

Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives. - Junpei Zhong; Angelo Cangelosi; Stefan Wermter (CoRR, 2020)

Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction. - Tom Weber; Stefan Wermter (CoRR, 2020)

Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions. - Nikhil Churamani; Pablo V. A. Barros; Hatice Gunes; Stefan Wermter (CoRR, 2020)

Reinforcement Learning with Time-dependent Goals for Robotic Musicians. - Thilo Fryen; Manfred Eppe; Phuong D. H. Nguyen; Timo Gerkmann; Stefan Wermter (CoRR, 2020)

Robotic self-representation improves manipulation skills and transfer learning. - Phuong D. H. Nguyen; Manfred Eppe; Stefan Wermter (CoRR, 2020)

Hierarchical principles of embodied reinforcement learning: A review. - Manfred Eppe; Christian Gumbsch; Matthias Kerzel; Phuong D. H. Nguyen; Martin V. Butz; Stefan Wermter (CoRR, 2020)

Crossmodal Language Grounding in an Embodied Neurocognitive Model. - Stefan Heinrich; Yuan Yao 011; Tobias Hinz; Zhiyuan Liu 001; Thomas Hummel 001; Matthias Kerzel; Cornelius Weber; Stefan Wermter (Frontiers Neurorobotics, 2020)

Teaching NICO How to Grasp: An Empirical Study on Crossmodal Social Interaction as a Key Factor for Robots Learning From Humans. - Matthias Kerzel; Theresa Pekarek-Rosin; Erik Strahl; Stefan Heinrich; Stefan Wermter (Frontiers Neurorobotics, 2020)

Crossmodal Pattern Discrimination in Humans and Robots: A Visuo-Tactile Case Study. - Focko L. Higgen; Philipp Ruppel; Michael Görner; Matthias Kerzel; Norman Hendrich; Jan-Frederik Feldheim; Stefan Wermter; Jianwei Zhang 001; Christian Gerloff (Frontiers Robotics AI, 2020)

Understanding auditory representations of emotional expressions with neural networks. - Iris Wieser; Pablo V. A. Barros; Stefan Heinrich; Stefan Wermter (Neural Comput. Appl., 2020)

Improving robot dual-system motor learning with intrinsically motivated meta-control and latent-space experience imagination. - Muhammad Burhan Hafez; Cornelius Weber; Matthias Kerzel; Stefan Wermter (Robotics Auton. Syst., 2020)

Integrating Image-Based and Knowledge-Based Representation Learning. - Ruobing Xie; Stefan Heinrich; Zhiyuan Liu 001; Cornelius Weber; Yuan Yao 013; Stefan Wermter; Maosong Sun 001 (IEEE Trans. Cogn. Dev. Syst., 2020)

Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary. - Huajian Fang; Guillaume Carbajal; Stefan Wermter; Timo Gerkmann (ITG Conference on Speech Communication, 2021)

Hearing Faces: Target Speaker Text-to-Speech Synthesis from a Face. - Björn Plüster; Cornelius Weber; Leyuan Qu; Stefan Wermter (ASRU, 2021)

Lifelong Learning from Event-based Data. - Vadym Gryshchuk; Cornelius Weber; Chu Kiong Loo; Stefan Wermter (ESANN, 2021)

Pruning Neural Networks with Supermasks. - Vincent Rolfs; Matthias Kerzel; Stefan Wermter (ESANN, 2021)

DRILL: Dynamic Representations for Imbalanced Lifelong Learning. - Kyra Ahrens; Fares Abawi; Stefan Wermter (ICANN (2), 2021)

FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection. - Hugo C. C. Carneiro; Cornelius Weber; Stefan Wermter (ICANN (1), 2021)

Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. - Huajian Fang; Guillaume Carbajal; Stefan Wermter; Timo Gerkmann (ICASSP, 2021)

Visual Distant Supervision for Scene Graph Generation. - Yuan Yao 011; Ao Zhang; Xu Han 007; Mengdi Li; Cornelius Weber; Zhiyuan Liu 001; Stefan Wermter; Maosong Sun 001 (ICCV, 2021)

A Humanoid Robot Learning Audiovisual Classification By Active Exploration. - Glareh Mir; Matthias Kerzel; Erik Strahl; Stefan Wermter (ICDL, 2021)

Embodied Language Learning with Paired Variational Autoencoders. - Ozan Özdemir; Matthias Kerzel; Stefan Wermter (ICDL, 2021)

GASP: Gated Attention for Saliency Prediction. - Fares Abawi; Tom Weber; Stefan Wermter (IJCAI, 2021)

Generalization in Multimodal Language Learning from Simulation. - Aaron Eisermann; Jae Hee Lee 001; Cornelius Weber; Stefan Wermter (IJCNN, 2021)

Controlling the Noise Robustness of End-to-End Automatic Speech Recognition Systems. - Matthias Möller; Johannes Twiefel; Cornelius Weber; Stefan Wermter (IJCNN, 2021)

Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision. - Julien Scholz; Cornelius Weber; Muhammad Burhan Hafez; Stefan Wermter (IJCNN, 2021)

Planning-integrated Policy for Efficient Reinforcement Learning in Sparse-reward Environments. - Christoper Wulur; Cornelius Weber; Stefan Wermter (IJCNN, 2021)

Behavior Self-Organization Supports Task Inference for Continual Robot Learning. - Muhammad Burhan Hafez; Stefan Wermter (IROS, 2021)

Robotic Occlusion Reasoning for Efficient Object Existence Prediction. - Mengdi Li; Cornelius Weber; Matthias Kerzel; Jae Hee Lee 001; Zheni Zeng; Zhiyuan Liu 001; Stefan Wermter (IROS, 2021)

Improved Techniques for Training Single-Image GANs. - Tobias Hinz; Matthew Fisher; Oliver Wang; Stefan Wermter (WACV, 2021)

Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART Ensembles. - Wei Shiung Liew; Chu Kiong Loo; Stefan Wermter (IEEE Access, 2021)

Continual Learning from Synthetic Data for a Humanoid Exercise Robot. - Nicolas Duczek; Matthias Kerzel; Stefan Wermter (CoRR, 2021)

Analyzing the Influence of Dataset Composition for Emotion Recognition. - Alexander Sutherland; Sven Magg; Cornelius Weber; Stefan Wermter (CoRR, 2021)

Exercise with Social Robots: Companion or Coach? - Sascha S. Griffiths; Tayfun Alpay; Alexander Sutherland; Matthias Kerzel; Manfred Eppe; Erik Strahl; Stefan Wermter (CoRR, 2021)

How Can AI Recognize Pain and Express Empathy. - Siqi Cao; Di Fu; Xu Yang 006; Pablo V. A. Barros; Stefan Wermter; Xun Liu 001; Haiyan Wu (CoRR, 2021)

A trained humanoid robot can perform human-like crossmodal social attention conflict resolution. - Di Fu; Fares Abawi; Hugo C. C. Carneiro; Matthias Kerzel; Ziwei Chen; Erik Strahl; Xun Liu 001; Stefan Wermter (CoRR, 2021)

Learning Then, Learning Now, and Every Second in Between: Lifelong Learning With a Simulated Humanoid Robot. - Aleksej Logacjov; Matthias Kerzel; Stefan Wermter (Frontiers Neurorobotics, 2021)

WoZ4U: An Open-Source Wizard-of-Oz Interface for Easy, Efficient and Robust HRI Experiments. - Finn Rietz; Alexander Sutherland; Suna Bensch; Stefan Wermter; Thomas Hellström (Frontiers Robotics AI, 2021)

An Immersive Investment Game to Study Human-Robot Trust. - Sebastian Zörner; Emy Arts; Brenda Vasiljevic; Ankit Srivastava; Florian Schmalzl; Glareh Mir; Kavish Bhatia; Erik Strahl; Annika Peters; Tayfun Alpay; Stefan Wermter (Frontiers Robotics AI, 2021)

Do I Have a Personality? Endowing Care Robots with Context-Dependent Personality Traits. - Antonio Andriella; Henrique Siqueira; Di Fu; Sven Magg; Pablo V. A. Barros; Stefan Wermter; Carme Torras; Guillem Alenyà (Int. J. Soc. Robotics, 2021)

Developmental Robotics and its Role Towards Artificial General Intelligence. - Manfred Eppe; Stefan Wermter; Verena V. Hafner; Yukie Nagai (Künstliche Intell., 2021)

Sensorimotor Representation Learning for an "Active Self" in Robots: A Model Survey. - Phuong D. H. Nguyen; Yasmin Kim Georgie; Ezgi Kayhan; Manfred Eppe; Verena Vanessa Hafner; Stefan Wermter (Künstliche Intell., 2021)

Solving visual object ambiguities when pointing: an unsupervised learning approach. - Doreen Jirak; David Biertimpel; Matthias Kerzel; Stefan Wermter (Neural Comput. Appl., 2021)

Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data. - Pablo V. A. Barros; Stefan Wermter; Ognjen Rudovic; Hatice Gunes (IEEE Trans. Affect. Comput., 2021)

Guest Editorial: Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health. - Vasile Palade; Stefan Wermter; Ariel Ruiz-Garcia; Antônio de Pádua Braga; Clive Cheong Took (IEEE Trans. Neural Networks Learn. Syst., 2021)

Learning to Autonomously Reach Objects with NICO and Grow-When-Required Networks. - Nima Rahrakhshan; Matthias Kerzel; Philipp Allgeuer; Nicolas Duczek; Stefan Wermter (Humanoids, 2022)

Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping. - Connor Gaede; Matthias Kerzel; Erik Strahl; Stefan Wermter (ICANN (1), 2022)

Word-by-Word Generation of Visual Dialog Using Reinforcement Learning. - Yuliia Lysa; Cornelius Weber; Dennis Becker; Stefan Wermter (ICANN (2), 2022)

Learning Flexible Translation Between Robot Actions and Language Descriptions. - Ozan Özdemir; Matthias Kerzel; Cornelius Weber; Jae Hee Lee 001; Stefan Wermter (ICANN (2), 2022)

NeoSLAM: Neural Object SLAM for Loop Closure and Navigation. - Younes Raoui; Cornelius Weber; Stefan Wermter (ICANN (3), 2022)

Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture. - Xiaowen Sun; Cornelius Weber; Matthias Kerzel; Tom Weber; Mengdi Li; Stefan Wermter (ICANN (2), 2022)

More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning. - Caspar Volquardsen; Jae Hee Lee 001; Cornelius Weber; Stefan Wermter (ICANN (3), 2022)

Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement. - Huajian Fang; Tal Peer; Stefan Wermter; Timo Gerkmann (ICASSP, 2022)

Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics. - Frank Röder; Manfred Eppe; Stefan Wermter (ICDL, 2022)

What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. - Jae Hee Lee 001; Matthias Kerzel; Kyra Ahrens; Cornelius Weber; Stefan Wermter (IJCAI, 2022)

Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning. - Kyra Ahrens; Matthias Kerzel; Jae Hee Lee 001; Cornelius Weber; Stefan Wermter (STRL@IJCAI, 2022)

Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations. - Xufeng Zhao 002; Cornelius Weber; Muhammad Burhan Hafez; Stefan Wermter (IROS, 2022)

Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts. - Chandrakant Bothe; Stefan Wermter (LREC, 2022)

A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning. - Gerald Schwiebert; Cornelius Weber; Leyuan Qu; Henrique Siqueira; Stefan Wermter (LREC, 2022)

Explain yourself! Effects of Explanations in Human-Robot Interaction. - Jakob Ambsdorf; Alina Munir; Yiyao Wei; Klaas Degkwitz; Harm Matthias Harms; Susanne Stannek; Kyra Ahrens; Dennis Becker; Erik Strahl; Tom Weber; Stefan Wermter (RO-MAN, 2022)

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing. - Tobias Hinz; Matthew Fisher; Oliver Wang; Eli Shechtman; Stefan Wermter (WACV, 2022)

Judging by the Look: The Impact of Robot Gaze Strategies on Human Cooperation. - Di Fu; Fares Abawi; Erik Strahl; Stefan Wermter (CoRR, 2022)

Data Augmentation with Unsupervised Speaking Style Transfer for Speech Emotion Recognition. - Leyuan Qu; Wei Wang 310; Taihao Li; Cornelius Weber; Stefan Wermter; Fuji Ren (CoRR, 2022)

Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios. - Niclas Schroeter; Francisco Cruz 002; Stefan Wermter (CoRR, 2022)

Whose Emotion Matters? Speaker Detection without Prior Knowledge. - Hugo C. C. Carneiro; Cornelius Weber; Stefan Wermter (CoRR, 2022)

Neuro-Symbolic Spatio-Temporal Reasoning. - Jae Hee Lee 001; Michael Sioutis; Kyra Ahrens; Marjan Alirezaie; Matthias Kerzel; Stefan Wermter (CoRR, 2022)

Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations. - Björn Plüster; Jakob Ambsdorf; Lukas Braach; Jae Hee Lee 001; Stefan Wermter (CoRR, 2022)

Editorial: Cross-Modal Learning: Adaptivity, Prediction and Interaction. - Jianwei Zhang 001; Stefan Wermter; Fuchun Sun 001; Changshui Zhang; Andreas K. Engel; Brigitte Röder; Xiaolan Fu; Gui Xue (Frontiers Neurorobotics, 2022)

Affect-Driven Learning of Robot Behaviour for Collaborative Human-Robot Interactions. - Nikhil Churamani; Pablo Barros 001; Hatice Gunes; Stefan Wermter (Frontiers Robotics AI, 2022)

Self-organized Learning from Synthetic and Real-World Data for a Humanoid Exercise Robot. - Nicolas Duczek; Matthias Kerzel; Philipp Allgeuer; Stefan Wermter (Frontiers Robotics AI, 2022)

Go ahead and do not forget: Modular lifelong learning from event-based data. - Vadym Gryshchuk; Cornelius Weber; Chu Kiong Loo; Stefan Wermter (Neurocomputing, 2022)

What's on Your Mind, NICO? - Matthias Kerzel; Jakob Ambsdorf; Dennis Becker; Wenhao Lu; Erik Strahl; Josua Spisak; Connor Gaede; Tom Weber; Stefan Wermter (Künstliche Intell., 2022)

Intelligent problem-solving as integrated hierarchical reinforcement learning. - Manfred Eppe; Christian Gumbsch; Matthias Kerzel; Phuong D. H. Nguyen; Martin V. Butz; Stefan Wermter (Nat. Mach. Intell., 2022)

Semantic Object Accuracy for Generative Text-to-Image Synthesis. - Tobias Hinz; Stefan Heinrich; Stefan Wermter (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Adapting the Interplay Between Personalized and Generalized Affect Recognition Based on an Unsupervised Neural Framework. - Pablo V. A. Barros; Emilia I. Barakova; Stefan Wermter (IEEE Trans. Affect. Comput., 2022)

Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks. - Matthias Kerzel; Fares Abawi; Manfred Eppe; Stefan Wermter (IEEE Trans. Cogn. Dev. Syst., 2022)

Spatial relation learning in complementary scenarios with deep neural networks. - Jae Hee Lee 001; Yuan Yao 011; Ozan Özdemir; Mengdi Li; Cornelius Weber; Zhiyuan Liu 001; Stefan Wermter (Frontiers Neurorobotics, 2022)

Visually Grounded Commonsense Knowledge Acquisition. - Yuan Yao 013; Tianyu Yu 002; Ao Zhang; Mengdi Li; Ruobing Xie; Cornelius Weber; Zhiyuan Liu 001; Hai-Tao Zheng 002; Stefan Wermter; Tat-Seng Chua; Maosong Sun 001 (AAAI, 2023)

Visually Grounded Continual Language Learning with Selective Specialization. - Kyra Ahrens; Lennart Bengtson; Jae Hee Lee 001; Stefan Wermter (EMNLP (Findings), 2023)

Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition. - Patrick Eickhoff; Matthias Möller; Theresa Pekarek-Rosin; Johannes Twiefel; Stefan Wermter (ICANN (7), 2023)

Neural Field Conditioning Strategies for 2D Semantic Segmentation. - Martin Gromniak; Sven Magg; Stefan Wermter (ICANN (2), 2023)

CycleIK: Neuro-inspired Inverse Kinematics. - Jan-Gerrit Habekost; Erik Strahl; Philipp Allgeuer; Matthias Kerzel; Stefan Wermter (ICANN (1), 2023)

Replay to Remember: Continual Layer-Specific Fine-Tuning for German Speech Recognition. - Theresa Pekarek-Rosin; Stefan Wermter (ICANN (7), 2023)

Clarifying the Half Full or Half Empty Question: Multimodal Container Classification. - Josua Spisak; Matthias Kerzel; Stefan Wermter (ICANN (1), 2023)

Partially Adaptive Multichannel Joint Reduction of Ego-Noise and Environmental Noise. - Huajian Fang; Niklas Wittmer; Johannes Twiefel; Stefan Wermter; Timo Gerkmann (ICASSP, 2023)

A Closer Look at Reward Decomposition for High-Level Robotic Explanations. - Wenhao Lu; Xufeng Zhao 002; Sven Magg; Martin Gromniak; Mengdi Li; Stefan Wermter (ICDL, 2023)

The Importance of Growing Up: Progressive Growing GANs for Image Inpainting. - Daniel Speck; Theresa Pekarek-Rosin; Matthias Kerzel; Stefan Wermter (ICDL, 2023)

Internally Rewarded Reinforcement Learning. - Mengdi Li; Xufeng Zhao 002; Jae Hee Lee 001; Cornelius Weber; Stefan Wermter (ICML, 2023)

Sample-Efficient Real-Time Planning with Curiosity Cross-Entropy Method and Contrastive Learning. - Mostafa Kotb; Cornelius Weber; Stefan Wermter (IROS, 2023)

Chat with the Environment: Interactive Multimodal Perception Using Large Language Models. - Xufeng Zhao 002; Mengdi Li; Cornelius Weber; Muhammad Burhan Hafez; Stefan Wermter (IROS, 2023)

The Emotional Dilemma: Influence of a Human-like Robot on Trust and Cooperation. - Dennis Becker; Diana Rueda; Felix Beese; Brenda Scarleth Gutierrez Torres; Myriem Lafdili; Kyra Ahrens; Di Fu; Erik Strahl; Tom Weber; Stefan Wermter (RO-MAN, 2023)

The Robot in the Room: Influence of Robot Facial Expressions and Gaze on Human-Human-Robot Collaboration. - Di Fu; Fares Abawi; Stefan Wermter (RO-MAN, 2023)

NICOL: A Neuro-Inspired Collaborative Semi-Humanoid Robot That Bridges Social Interaction and Reliable Manipulation. - Matthias Kerzel; Philipp Allgeuer; Erik Strahl; Nicolas Frick; Jan-Gerrit Habekost; Manfred Eppe; Stefan Wermter (IEEE Access, 2023)

Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input. - Ozan Özdemir; Matthias Kerzel; Cornelius Weber; Jae Hee Lee 001; Muhammad Burhan Hafez; Patrick Bruns; Stefan Wermter (CoRR, 2023)

Wrapyfi: A Wrapper for Message-Oriented and Robotics Middleware. - Fares Abawi; Philipp Allgeuer; Di Fu; Stefan Wermter (CoRR, 2023)

Model Predictive Control with Self-supervised Representation Learning. - Jonas Matthies; Muhammad Burhan Hafez; Mostafa Kotb; Stefan Wermter (CoRR, 2023)

A Closer Look at Reward Decomposition for High-Level Robotic Explanations. - Wenhao Lu; Sven Magg; Xufeng Zhao 002; Martin Gromniak; Stefan Wermter (CoRR, 2023)

A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning. - Naoki Masuyama; Takanori Takebayashi; Yusuke Nojima; Chu Kiong Loo; Hisao Ishibuchi; Stefan Wermter (CoRR, 2023)

Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion. - Chu Kiong Loo; Wei Shiung Liew; Stefan Wermter (CoRR, 2023)

From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks. - Jae Hee Lee 001; Sergio Lanza; Stefan Wermter (CoRR, 2023)

Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models. - Kun Chu; Xufeng Zhao 002; Cornelius Weber; Mengdi Li; Stefan Wermter (CoRR, 2023)

Read Between the Layers: Leveraging Intra-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models. - Kyra Ahrens; Hans Hergen Lehmann; Jae Hee Lee 001; Stefan Wermter (CoRR, 2023)

Explainable Goal-driven Agents and Robots - A Comprehensive Review. - Fatai Sado; Chu Kiong Loo; Wei Shiung Liew; Matthias Kerzel; Stefan Wermter (ACM Comput. Surv., 2023)

Whose emotion matters? Speaking activity localisation without prior knowledge. - Hugo C. C. Carneiro; Cornelius Weber; Stefan Wermter (Neurocomputing, 2023)

An adaptive growing grid model for a non-stationary environment. - Chihli Hung; Stefan Wermter; Yu-Liang Chi; Chih-Fong Tsai (Neurocomputing, 2023)

Integrating Uncertainty Into Neural Network-Based Speech Enhancement. - Huajian Fang; Dennis Becker; Stefan Wermter; Timo Gerkmann (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Neuro-Symbolic Spatio-Temporal Reasoning. - Jae Hee Lee 001; Michael Sioutis; Kyra Ahrens; Marjan Alirezaie; Matthias Kerzel; Stefan Wermter (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Survey on reinforcement learning for language processing. - Víctor Uc-Cetina; Nicolás Navarro-Guerrero; Anabel Martín-González; Cornelius Weber; Stefan Wermter (Artif. Intell. Rev., 2023)

Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognition. - Leyuan Qu; Cornelius Weber; Stefan Wermter (Neural Networks, 2023)

Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning. - Muhammad Burhan Hafez; Tilman Immisch; Tom Weber; Stefan Wermter (Frontiers Neurorobotics, 2023)

A Trained Humanoid Robot can Perform Human-Like Crossmodal Social Attention and Conflict Resolution. - Di Fu; Fares Abawi; Hugo C. C. Carneiro; Matthias Kerzel; Ziwei Chen; Erik Strahl; Xun Liu 001; Stefan Wermter (Int. J. Soc. Robotics, 2023)

Hierarchical goals contextualize local reward decomposition explanations. - Finn Rietz; Sven Magg; Fredrik Heintz; Todor Stoyanov; Stefan Wermter; Johannes A. Stork (Neural Comput. Appl., 2023)

Echo State Networks and Long Short-Term Memory for Continuous Gesture Recognition: a Comparative Study. - Doreen Jirak; Stephan Tietz; Hassan Ali 005; Stefan Wermter (Cogn. Comput., 2023)

Snapture - a Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition. - Hassan Ali 005; Doreen Jirak; Stefan Wermter (Cogn. Comput., 2023)

Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input. - Ozan Özdemir; Matthias Kerzel; Cornelius Weber; Jae Hee Lee 001; Muhammad Burhan Hafez; Patrick Bruns; Stefan Wermter (Appl. Artif. Intell., 2023)

Language-Model-Based Paired Variational Autoencoders for Robotic Language Learning. - Ozan Özdemir; Matthias Kerzel; Cornelius Weber; Jae Hee Lee 001; Stefan Wermter (IEEE Trans. Cogn. Dev. Syst., 2023)

Causal State Distillation for Explainable Reinforcement Learning. - Wenhao Lu; Xufeng Zhao 002; Thilo Fryen; Jae Hee Lee 001; Mengdi Li; Sven Magg; Stefan Wermter (CLeaR, 2024)

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic. - Xufeng Zhao 002; Mengdi Li; Wenhao Lu; Cornelius Weber; Jae Hee Lee 001; Kun Chu; Stefan Wermter (LREC/COLING, 2024)

Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? - Jae Hee Lee 001; Georgii Mikriukov; Gesina Schwalbe; Stefan Wermter; Diedrich Wolter (ECCV Workshops (21), 2024)

Embodying Language Models in Robot Action. - Connor Gäde; Ozan Özdemir; Cornelius Weber; Stefan Wermter (ESANN, 2024)

Wrapyfi: A Python Wrapper for Integrating Robots, Sensors, and Applications across Multiple Middleware. - Fares Abawi; Philipp Allgeuer; Di Fu; Stefan Wermter (HRI, 2024)

Human Impression of Humanoid Robots Mirroring Social Cues. - Di Fu; Fares Abawi; Philipp Allgeuer; Stefan Wermter (HRI (Companion), 2024)

Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation. - Hassan Ali 005; Philipp Allgeuer; Carlo Mazzola; Giulia Belgiovine; Burak Can Kaplan; Lukás Gajdosech; Stefan Wermter (Humanoids, 2024)

Large Language Models for Orchestrating Bimanual Robots. - Kun Chu; Xufeng Zhao 002; Cornelius Weber; Mengdi Li; Wenhao Lu; Stefan Wermter (Humanoids, 2024)

Diffusing in Someone Else's Shoes: Robotic Perspective-Taking with Diffusion. - Josua Spisak; Matthias Kerzel; Stefan Wermter (Humanoids, 2024)

When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration. - Philipp Allgeuer; Hassan Ali 005; Stefan Wermter (ICANN (4), 2024)

Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. - Xiaowen Sun; Xufeng Zhao 002; Jae Hee Lee 001; Wenhao Lu; Matthias Kerzel; Stefan Wermter (ICANN (4), 2024)

An Energy Sampling Replay-Based Continual Learning Framework. - Xingzhong Zhang; Joon Huang Chuah; Chu Kiong Loo; Stefan Wermter (ICANN (2), 2024)

Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer. - Leyuan Qu; Wei Wang 310; Cornelius Weber; Pengcheng Yue; Taihao Li; Stefan Wermter (ICASSP, 2024)

Robotic Imitation of Human Actions. - Josua Spisak; Matthias Kerzel; Stefan Wermter (ICDL, 2024)

Domain Adaption as Auxiliary Task for Sim-to-Real Transfer in Vision-based Neuro-Robotic Control. - Connor Gäde; Jan-Gerrit Habekost; Stefan Wermter (IJCNN, 2024)

Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents. - Jan-Gerrit Habekost; Connor Gäde; Philipp Allgeuer; Stefan Wermter (IROS, 2024)

Comparing Apples to Oranges: LLM-Powered Multimodal Intention Prediction in an Object Categorization Task. - Hassan Ali 005; Philipp Allgeuer; Stefan Wermter (ICSR + AI (3), 2024)

A Framework for Adapting Human-Robot Interaction to Diverse User Groups. - Theresa Pekarek-Rosin; Vanessa Hassouna; Xiaowen Sun; Luca Krohm; Henri-Leon Kordt; Michael Beetz; Stefan Wermter (ICSR + AI (3), 2024)

Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models. - Fares Abawi; Di Fu; Stefan Wermter (CoRR, 2024)

Agentic Skill Discovery. - Xufeng Zhao 002; Cornelius Weber; Stefan Wermter (CoRR, 2024)

Mental Modeling of Reinforcement Learning Agents by Language Models. - Wenhao Lu; Xufeng Zhao 002; Josua Spisak; Jae Hee Lee 001; Stefan Wermter (CoRR, 2024)

Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation. - Hassan Ali 005; Philipp Allgeuer; Carlo Mazzola; Giulia Belgiovine; Burak Can Kaplan; Stefan Wermter (CoRR, 2024)

Adaptive knowledge distillation and integration for weakly supervised referring expression comprehension. - Jinpeng Mi; Stefan Wermter; Jianwei Zhang 001 (Knowl. Based Syst., 2024)

Enabling action crossmodality for a pretrained large language model. - Anton Caesar; Ozan Özdemir; Cornelius Weber; Stefan Wermter (Nat. Lang. Process. J., 2024)

Disentangling Prosody Representations With Unsupervised Speech Reconstruction. - Leyuan Qu; Taihao Li; Cornelius Weber; Theresa Pekarek-Rosin; Fuji Ren; Stefan Wermter (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models. - Kyra Ahrens; Hans Hergen Lehmann; Jae Hee Lee 001; Stefan Wermter (Trans. Mach. Learn. Res., 2024)

LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading. - Leyuan Qu; Cornelius Weber; Stefan Wermter (IEEE Trans. Neural Networks Learn. Syst., 2024)

Continual Robot Learning Using Self-Supervised Task Inference. - Muhammad Burhan Hafez; Stefan Wermter (IEEE Trans. Cogn. Dev. Syst., 2024)

Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion. - Philipp Allgeuer; Kyra Ahrens; Stefan Wermter (WACV, 2025)

Mental Modelling of Reinforcement Learning Agents by Language Models. - Wenhao Lu; Xufeng Zhao 002; Josua Spisak; Jae Hee Lee 001; Stefan Wermter (Trans. Mach. Learn. Res., 2025)

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model. - Josua Spisak; Matthias Kerzel; Stefan Wermter (CoRR, 2025)

QT-TDM: Planning With Transformer Dynamics Model and Autoregressive Q-Learning. - Mostafa Kotb; Cornelius Weber; Muhammad Burhan Hafez; Stefan Wermter (IEEE Robotics Autom. Lett., 2025)

FabuLight-ASD: unveiling speech activity via body language. - Hugo C. C. Carneiro; Stefan Wermter (Neural Comput. Appl., 2025)

Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks. - Lukás Gajdosech; Hassan Ali 005; Jan-Gerrit Habekost; Martin Madaras; Matthias Kerzel; Stefan Wermter (CoRR, 2025)

LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language. - Kun Chu; Xufeng Zhao 002; Cornelius Weber; Stefan Wermter (CoRR, 2025)

Balancing long- and short-term dynamics for the modeling of saliency in videos. - Theodor Wulff; Fares Abawi; Philipp Allgeuer; Stefan Wermter (CoRR, 2025)

A computational model of infant sensorimotor exploration in the mobile paradigm. - Josua Spisak; Sergiu Tcaci Popescu; Stefan Wermter; Matej Hoffmann; J. Kevin O'Regan (CoRR, 2025)

LLM-based Interactive Imitation Learning for Robotic Manipulation. - Jonas Werner; Kun Chu; Cornelius Weber; Stefan Wermter (CoRR, 2025)

Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback. - Mengdi Li; Jiaye Lin; Xufeng Zhao 002; Wenhao Lu; Peilin Zhao; Stefan Wermter; Di Wang (CoRR, 2025)

Influence of Robots' Voice Naturalness on Trust and Compliance. - Dennis Becker; Lukas Braach; Lennart Clasmeier; Teresa Kaufmann; Oskar Ong; Kyra Ahrens; Connor Gäde; Erik Strahl; Di Fu; Stefan Wermter (ACM Trans. Hum. Robot Interact., 2025)

Personalised Explanations in Long-term Human-Robot Interactions. - Ferran Gebellí; Anaís Garrell; Jan-Gerrit Habekost; Séverin Lemaignan; Stefan Wermter; Raquel Ros (CoRR, 2025)

Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations? - Burak Can Kaplan; Hugo Cesar de Castro Carneiro; Stefan Wermter (CoRR, 2025)

Large Language Model Data Generation for Enhanced Intent Recognition in German Speech. - Theresa Pekarek-Rosin; Burak Can Kaplan; Stefan Wermter (CoRR, 2025)

Disentanglement of Prosody Representations via Diffusion Models and Scheduled Gradient Reversal. - Leyuan Qu; Cornelius Weber; Wei Wang 310; Jia Jin; Yingming Gao; Taihao Li; Stefan Wermter (IEEE Trans. Neural Networks Learn. Syst., 2025)