Stefan Wermter

Orcid: 0000-0003-1343-4775

Affiliations:
  • University of Hamburg, Germany


According to our database1, Stefan Wermter authored at least 450 papers between 1989 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Continual Robot Learning Using Self-Supervised Task Inference.
IEEE Trans. Cogn. Dev. Syst., June, 2024

LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models.
Trans. Mach. Learn. Res., 2024

Disentangling Prosody Representations With Unsupervised Speech Reconstruction.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Enabling action crossmodality for a pretrained large language model.
Nat. Lang. Process. J., 2024

Adaptive knowledge distillation and integration for weakly supervised referring expression comprehension.
Knowl. Based Syst., 2024

A Framework for Adapting Human-Robot Interaction to Diverse User Groups.
CoRR, 2024

Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?
CoRR, 2024

QT-TDM: Planning with Transformer Dynamics Model and Autoregressive Q-Learning.
CoRR, 2024

Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation.
CoRR, 2024

Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion.
CoRR, 2024

Mental Modeling of Reinforcement Learning Agents by Language Models.
CoRR, 2024

Agentic Skill Discovery.
CoRR, 2024

Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models.
CoRR, 2024

Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents.
CoRR, 2024

Comparing Apples to Oranges: LLM-powered Multimodal Intention Prediction in an Object Categorization Task.
CoRR, 2024

Domain Adaption as Auxiliary Task for Sim-to-Real Transfer in Vision-based Neuro-Robotic Control.
Proceedings of the International Joint Conference on Neural Networks, 2024

Robotic Imitation of Human Actions.
Proceedings of the IEEE International Conference on Development and Learning, 2024

Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer.
Proceedings of the IEEE International Conference on Acoustics, 2024

An Energy Sampling Replay-Based Continual Learning Framework.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Diffusing in Someone Else's Shoes: Robotic Perspective-Taking with Diffusion.
Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

Large Language Models for Orchestrating Bimanual Robots.
Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation.
Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

Human Impression of Humanoid Robots Mirroring Social Cues.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Wrapyfi: A Python Wrapper for Integrating Robots, Sensors, and Applications across Multiple Middleware.
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Causal State Distillation for Explainable Reinforcement Learning.
Proceedings of the Causal Learning and Reasoning, 2024

2023
Language-Model-Based Paired Variational Autoencoders for Robotic Language Learning.
IEEE Trans. Cogn. Dev. Syst., December, 2023

Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input.
Appl. Artif. Intell., December, 2023

Snapture - a Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition.
Cogn. Comput., November, 2023

Echo State Networks and Long Short-Term Memory for Continuous Gesture Recognition: a Comparative Study.
Cogn. Comput., September, 2023

Hierarchical goals contextualize local reward decomposition explanations.
Neural Comput. Appl., August, 2023

A Trained Humanoid Robot can Perform Human-Like Crossmodal Social Attention and Conflict Resolution.
Int. J. Soc. Robotics, August, 2023

Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning.
Frontiers Neurorobotics, June, 2023

Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognition.
Neural Networks, April, 2023

Survey on reinforcement learning for language processing.
Artif. Intell. Rev., February, 2023

Neuro-Symbolic Spatio-Temporal Reasoning.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Integrating Uncertainty Into Neural Network-Based Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

An adaptive growing grid model for a non-stationary environment.
Neurocomputing, 2023

Whose emotion matters? Speaking activity localisation without prior knowledge.
Neurocomputing, 2023

Explainable Goal-driven Agents and Robots - A Comprehensive Review.
ACM Comput. Surv., 2023

Read Between the Layers: Leveraging Intra-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models.
CoRR, 2023

Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models.
CoRR, 2023

From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks.
CoRR, 2023

Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion.
CoRR, 2023

A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning.
CoRR, 2023

A Closer Look at Reward Decomposition for High-Level Robotic Explanations.
CoRR, 2023

Model Predictive Control with Self-supervised Representation Learning.
CoRR, 2023

Wrapyfi: A Wrapper for Message-Oriented and Robotics Middleware.
CoRR, 2023

Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input.
CoRR, 2023

NICOL: A Neuro-Inspired Collaborative Semi-Humanoid Robot That Bridges Social Interaction and Reliable Manipulation.
IEEE Access, 2023

The Robot in the Room: Influence of Robot Facial Expressions and Gaze on Human-Human-Robot Collaboration.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

The Emotional Dilemma: Influence of a Human-like Robot on Trust and Cooperation.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Chat with the Environment: Interactive Multimodal Perception Using Large Language Models.
IROS, 2023

Sample-Efficient Real-Time Planning with Curiosity Cross-Entropy Method and Contrastive Learning.
IROS, 2023

Internally Rewarded Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

The Importance of Growing Up: Progressive Growing GANs for Image Inpainting.
Proceedings of the IEEE International Conference on Development and Learning, 2023

A Closer Look at Reward Decomposition for High-Level Robotic Explanations.
Proceedings of the IEEE International Conference on Development and Learning, 2023

Partially Adaptive Multichannel Joint Reduction of Ego-Noise and Environmental Noise.
Proceedings of the IEEE International Conference on Acoustics, 2023

Clarifying the Half Full or Half Empty Question: Multimodal Container Classification.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Replay to Remember: Continual Layer-Specific Fine-Tuning for German Speech Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

CycleIK: Neuro-inspired Inverse Kinematics.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Neural Field Conditioning Strategies for 2D Semantic Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Visually Grounded Continual Language Learning with Selective Specialization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Visually Grounded Commonsense Knowledge Acquisition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Spatial relation learning in complementary scenarios with deep neural networks.
Frontiers Neurorobotics, September, 2022

Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks.
IEEE Trans. Cogn. Dev. Syst., 2022

Adapting the Interplay Between Personalized and Generalized Affect Recognition Based on an Unsupervised Neural Framework.
IEEE Trans. Affect. Comput., 2022

Semantic Object Accuracy for Generative Text-to-Image Synthesis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Intelligent problem-solving as integrated hierarchical reinforcement learning.
Nat. Mach. Intell., 2022

What's on Your Mind, NICO?
Künstliche Intell., 2022

Go ahead and do not forget: Modular lifelong learning from event-based data.
Neurocomputing, 2022

Self-organized Learning from Synthetic and Real-World Data for a Humanoid Exercise Robot.
Frontiers Robotics AI, 2022

Affect-Driven Learning of Robot Behaviour for Collaborative Human-Robot Interactions.
Frontiers Robotics AI, 2022

Editorial: Cross-Modal Learning: Adaptivity, Prediction and Interaction.
Frontiers Neurorobotics, 2022

Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations.
CoRR, 2022

Neuro-Symbolic Spatio-Temporal Reasoning.
CoRR, 2022

Whose Emotion Matters? Speaker Detection without Prior Knowledge.
CoRR, 2022

Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios.
CoRR, 2022

Data Augmentation with Unsupervised Speaking Style Transfer for Speech Emotion Recognition.
CoRR, 2022

Judging by the Look: The Impact of Robot Gaze Strategies on Human Cooperation.
CoRR, 2022

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Explain yourself! Effects of Explanations in Human-Robot Interaction.
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning.
Proceedings of the 1st International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2022) co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI 2022, 2022

What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics.
Proceedings of the IEEE International Conference on Development and Learning, 2022

Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2022

More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

NeoSLAM: Neural Object SLAM for Loop Closure and Navigation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Learning Flexible Translation Between Robot Actions and Language Descriptions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Word-by-Word Generation of Visual Dialog Using Reinforcement Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Learning to Autonomously Reach Objects with NICO and Grow-When-Required Networks.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021
Guest Editorial: Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health.
IEEE Trans. Neural Networks Learn. Syst., 2021

Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data.
IEEE Trans. Affect. Comput., 2021

Solving visual object ambiguities when pointing: an unsupervised learning approach.
Neural Comput. Appl., 2021

Sensorimotor Representation Learning for an "Active Self" in Robots: A Model Survey.
Künstliche Intell., 2021

Developmental Robotics and its Role Towards Artificial General Intelligence.
Künstliche Intell., 2021

Do I Have a Personality? Endowing Care Robots with Context-Dependent Personality Traits.
Int. J. Soc. Robotics, 2021

An Immersive Investment Game to Study Human-Robot Trust.
Frontiers Robotics AI, 2021

WoZ4U: An Open-Source Wizard-of-Oz Interface for Easy, Efficient and Robust HRI Experiments.
Frontiers Robotics AI, 2021

Learning Then, Learning Now, and Every Second in Between: Lifelong Learning With a Simulated Humanoid Robot.
Frontiers Neurorobotics, 2021

A trained humanoid robot can perform human-like crossmodal social attention conflict resolution.
CoRR, 2021

How Can AI Recognize Pain and Express Empathy.
CoRR, 2021

Exercise with Social Robots: Companion or Coach?
CoRR, 2021

Analyzing the Influence of Dataset Composition for Emotion Recognition.
CoRR, 2021

Continual Learning from Synthetic Data for a Humanoid Exercise Robot.
CoRR, 2021

Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART Ensembles.
IEEE Access, 2021

Improved Techniques for Training Single-Image GANs.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Robotic Occlusion Reasoning for Efficient Object Existence Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Behavior Self-Organization Supports Task Inference for Continual Robot Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Planning-integrated Policy for Efficient Reinforcement Learning in Sparse-reward Environments.
Proceedings of the International Joint Conference on Neural Networks, 2021

Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision.
Proceedings of the International Joint Conference on Neural Networks, 2021

Controlling the Noise Robustness of End-to-End Automatic Speech Recognition Systems.
Proceedings of the International Joint Conference on Neural Networks, 2021

Generalization in Multimodal Language Learning from Simulation.
Proceedings of the International Joint Conference on Neural Networks, 2021

GASP: Gated Attention for Saliency Prediction.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Embodied Language Learning with Paired Variational Autoencoders.
Proceedings of the IEEE International Conference on Development and Learning, 2021

A Humanoid Robot Learning Audiovisual Classification By Active Exploration.
Proceedings of the IEEE International Conference on Development and Learning, 2021

Visual Distant Supervision for Scene Graph Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder.
Proceedings of the IEEE International Conference on Acoustics, 2021

FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

DRILL: Dynamic Representations for Imbalanced Lifelong Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Pruning Neural Networks with Supermasks.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Lifelong Learning from Event-based Data.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Hearing Faces: Target Speaker Text-to-Speech Synthesis from a Face.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary.
Proceedings of the 14th ITG Conference on Speech Communication, online, September 29, 2021

2020
Integrating Image-Based and Knowledge-Based Representation Learning.
IEEE Trans. Cogn. Dev. Syst., 2020

Improving robot dual-system motor learning with intrinsically motivated meta-control and latent-space experience imagination.
Robotics Auton. Syst., 2020

Understanding auditory representations of emotional expressions with neural networks.
Neural Comput. Appl., 2020

Crossmodal Pattern Discrimination in Humans and Robots: A Visuo-Tactile Case Study.
Frontiers Robotics AI, 2020

Teaching NICO How to Grasp: An Empirical Study on Crossmodal Social Interaction as a Key Factor for Robots Learning From Humans.
Frontiers Neurorobotics, 2020

Crossmodal Language Grounding in an Embodied Neurocognitive Model.
Frontiers Neurorobotics, 2020

Hierarchical principles of embodied reinforcement learning: A review.
CoRR, 2020

Robotic self-representation improves manipulation skills and transfer learning.
CoRR, 2020

Reinforcement Learning with Time-dependent Goals for Robotic Musicians.
CoRR, 2020

Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions.
CoRR, 2020

Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction.
CoRR, 2020

Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives.
CoRR, 2020

Explainable Goal-Driven Agents and Robots - A Comprehensive Review and New Framework.
CoRR, 2020

Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning.
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Multimodal Target Speech Separation with Voice and Face References.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE).
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Curious Hierarchical Actor-Critic Reinforcement Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Neural Networks for Detecting Irrelevant Questions During Visual Question Answering.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Neuro-Genetic Visuomotor Architecture for Robotic Grasping.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Variational Autoencoder with Global- and Medium Timescale Auxiliaries for Emotion Recognition from Speech.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Exploring Human-Robot Trust Through the Investment Game: An Immersive Space Mission Scenario.
Proceedings of the HAI '20: 8th International Conference on Human-Agent Interaction, 2020

Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions Recognition.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

New Results on Sparse Autoencoders for Posture Classification and Segmentation.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization.
IEEE Trans. Neural Networks Learn. Syst., 2019

Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning.
Paladyn J. Behav. Robotics, 2019

Continual lifelong learning with neural networks: A review.
Neural Networks, 2019

Localizing salient body motion in multi-person scenes using convolutional neural networks.
Neurocomputing, 2019

Continuous convolutional object tracking in developmental robot scenarios.
Neurocomputing, 2019

Preserving activations in recurrent neural networks based on surprisal.
Neurocomputing, 2019

A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure.
Int. J. Neural Syst., 2019

Compositional Learning of Human Activities With a Self-Organizing Neural Architecture.
Frontiers Robotics AI, 2019

From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving.
Frontiers Robotics AI, 2019

Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification.
Frontiers Robotics AI, 2019

Bootstrapping Knowledge Graphs From Images and Text.
Frontiers Neurorobotics, 2019

Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators.
CoRR, 2019

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective.
CoRR, 2019

Towards Learning How to Properly Play UNO with the iCub Robot.
CoRR, 2019

From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use.
CoRR, 2019

A Personalized Affective Memory Neural Model for Improving Emotion Recognition.
CoRR, 2019

Virtual or Physical? Social Robots Teaching a Fictional Language Through a Role-Playing Game Inspired by Game of Thrones.
Proceedings of the Social Robotics - 11th International Conference, 2019

MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Exploring Low-level and High-level Transfer Learning for Multi-task Facial Recognition with a Semi-supervised Neural Network.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations.
Proceedings of the International Joint Conference on Neural Networks, 2019

The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes.
Proceedings of the International Joint Conference on Neural Networks, 2019

Effect of Pruning on Catastrophic Forgetting in Growing Dual Memory Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Neuro-Robotic Haptic Object Classification by Active Exploration on a Novel Dataset.
Proceedings of the International Joint Conference on Neural Networks, 2019

Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Question Answering with Hierarchical Attention Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Designing a Personality-Driven Robot for a Human-Robot Interaction Scenario.
Proceedings of the International Conference on Robotics and Automation, 2019

Incorporating End-to-End Speech Recognition Models for Sentiment Analysis.
Proceedings of the International Conference on Robotics and Automation, 2019

A Personalized Affective Memory Model for Improving Emotion Recognition.
Proceedings of the 36th International Conference on Machine Learning, 2019

Generating Multiple Objects at Spatially Distinct Locations.
Proceedings of the 7th International Conference on Learning Representations, 2019

Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

Curriculum goal masking for continuous deep reinforcement learning.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

A Reservoir Computing Framework for Continuous Gesture Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Evaluating Defensive Distillation for Defending Text Processing Neural Networks Against Adversarial Examples.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Mixed-Reality Deep Reinforcement Learning for a Reach-to-grasp Task.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Facial Expression Editing with Continuous Emotion Labels.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

A Neurorobotic Experiment for Crossmodal Conflict Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018
An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction.
IEEE Trans. Cogn. Dev. Syst., 2018

Deep reinforcement learning using compositional representations for performing instructions.
Paladyn J. Behav. Robotics, 2018

A self-organizing neural network architecture for learning human-object interactions.
Neurocomputing, 2018

Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks.
Int. J. Comput. Intell. Appl., 2018

Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization.
Frontiers Neurorobotics, 2018

On the role of neurogenesis in overcoming catastrophic forgetting.
CoRR, 2018

Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution.
CoRR, 2018

A Deep Neural Model Of Emotion Appraisal.
CoRR, 2018

Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception.
CoRR, 2018

Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs.
CoRR, 2018

Potentials and Limitations of Deep Neural Networks for Cognitive Robots.
CoRR, 2018

Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration.
CoRR, 2018

Expectation Learning for Adaptive Crossmodal Stimuli Association.
CoRR, 2018

Interactive natural language acquisition in a multi-modal recurrent neural architecture.
Connect. Sci., 2018

Improving interactive reinforcement learning: What makes a good teacher?
Connect. Sci., 2018

Evaluating Integration Strategies for Visuo-Haptic Object Recognition.
Cogn. Comput., 2018

Towards Dialogue-Based Navigation with Multivariate Adaptation Driven by Intention and Politeness for Social Robots.
Proceedings of the Social Robotics - 10th International Conference, 2018

A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Action Selection Methods in a Robotic Reinforcement Learning Scenario.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Hear the Egg - Demonstrating Robotic Interactive Auditory Perception.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Object Detection and Pose Estimation Based on Convolutional Neural Networks Trained with Synthetic Data.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Conversational Analysis Using Utterance-level Attention-based Bidirectional Recurrent Neural Networks.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

A Self-organizing Method for Robot Navigation based on Learned Place and Head-Direction Cells.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Point Cloud Object Recognition using 3D Convolutional Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Recognition and Prediction of Human-Object Interactions with a Self-Organizing Architecture.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Accelerating Deep Continuous Reinforcement Learning through Task Simplification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Sparse Autoencoders for Posture Recognition.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Image Generation and Translation with Disentangled Representations.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Learning Empathy-Driven Emotion Expressions using Affective Modulations.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Expectation Learning and Crossmodal Modulation with a Deep Adversarial Network.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

The OMG-Emotion Behavior Dataset.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

EmoRL: Continuous Acoustic Emotion Classification Using Deep Reinforcement Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Adaptive and Variational Continuous Time Recurrent Neural Networks.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

A Hybrid Planning Strategy Through Learning from Vision for Target-Directed Navigation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

De-noise-GAN: De-noising Images to Improve RoboCup Soccer Ball Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Combining Articulatory Features with End-to-End Learning in Speech Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Classification of MRI Migraine Medical Data Using 3D Convolutional Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Towards End-to-End Raw Audio Music Synthesis.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

PREC 2018: Personal Robots for Exercising and Coaching.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Continuous convolutional object tracking.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Image-to-Text Transduction with Spatial Self-Attention.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Inferencing based on unsupervised learning of disentangled representations.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

An analysis of subtask-dependency in robot command interpretation with dilated CNNs.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Surprisal-based activation in recurrent neural networks.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

2017
Lifelong learning of human actions with deep neural network self-organization.
Neural Networks, 2017

An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition.
Neurocomputing, 2017

Emotion-modulated attention improves expression recognition: A deep learning model.
Neurocomputing, 2017

Improving Robot Motor Learning with Negatively Valenced Reinforcement Signals.
Frontiers Neurorobotics, 2017

Emergence of multimodal action representations from neural network self-organization.
Cogn. Syst. Res., 2017

GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017


NICO - Neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Haptic material classification with a multi-channel neural network.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Teaching emotion expressions to a human companion robot using deep neural architectures.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A self-organizing model for affective memory.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Reusing Neural Speech Representations for Auditory Emotion Recognition.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Syntactic reanalysis in language models for speech recognition.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

A computational model of crossmodal processing for conflict resolution.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

The effects on adaptive behaviour of negatively valenced signals in reinforcement learning.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

Curiosity-driven exploration enhances motor skills of continuous actor-critic learner.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

Agent-advising approaches in an interactive reinforcement learning scenario.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

Robot Localization and Orientation Detection Based on Place Cells and Head-Direction Cells.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Semi-supervised Phoneme Recognition with Recurrent Ladder Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Neural End-to-End Self-learning of Visuomotor Skills by Environment Interaction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

Comparison of Behaviour-Based Architectures for a Collaborative Package Delivery Task.
Proceedings of the 5th International Conference on Human Agent Interaction, 2017

Emotion Recognition from Body Expressions with a Neural Network Architecture.
Proceedings of the 5th International Conference on Human Agent Interaction, 2017

The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios.
Proceedings of the 5th International Conference on Human Agent Interaction, 2017

Automatically augmenting an emotion dataset improves classification using audio.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Lifelong Learning of Action Representations with Deep Neural Self-Organization.
Proceedings of the 2017 AAAI Spring Symposia, 2017

A Deep Neural Model for Emotion-Driven Multimodal Attention.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Training Agents With Interactive Reinforcement Learning and Contextual Affordances.
IEEE Trans. Cogn. Dev. Syst., 2016

Developing crossmodal expression recognition based on a deep neural model.
Adapt. Behav., 2016

Ball Localization for Robocup Soccer Using Convolutional Neural Networks.
Proceedings of the RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30, 2016

Using natural language feedback in a neuro-inspired integrated multimodal robotic architecture.
Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

Human motion assessment in real time using recurrent self-organization.
Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

Crossmodal Language Grounding, Learning, and Teaching.
Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), 2016


Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Understanding how deep neural networks learn face expressions.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Learning auditory neural representations for emotion recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Recurrent Neural Network for syntax learning with flexible predicates for robotic architectures.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

Recognition of Transitive Actions with Hierarchical Neural Network Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

The Effects of Regularization on Learning Facial Expressions with Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Learning Multiple Timescales in Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Semantic Role Labelling for Robot Instructions using Echo State Networks.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Activity recognition with echo state networks using 3D body joints and objects category.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Learning contextual affordances with an associative neural architecture.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015
Attention modeled as information in learning multisensory integration.
Neural Networks, 2015

Multimodal emotional state recognition using sequence-dependent deep hierarchical features.
Neural Networks, 2015

A Scalable Meta-Classifier Combining Search and Classification Techniques for Multi-Level Text Categorization.
Int. J. Comput. Intell. Appl., 2015

Self-organizing neural integration of pose-motion features for human action recognition.
Frontiers Neurorobotics, 2015

Modeling development of natural multi-sensory integration using neural self-organisation and probabilistic population codes.
Connect. Sci., 2015

A Recurrent Neural Network for Multiple Language Acquisition: Starting with English and French.
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

A Multi-modal Approach for Assistive Humanoid Robots.
Proceedings of the Workshop on Multimodal and Semantics for Robotics Systems (MuSRobS) co-located with IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2015), 2015

Recognizing complex mental states with deep hierarchical features for Human-Robot Interaction.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning human motion feedback with neural self-organization.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Face expression recognition with a 2-channel Convolutional Neural Network.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Interactive reinforcement learning through speech guidance in a domestic scenario.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Emotional expression recognition with a cross-channel convolutional neural network for human-robot interaction.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Learning objects from RGB-D sensors using point cloud-based neural networks.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Dynamic gesture recognition using Echo State Networks.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Socially Assistive Robots: A Comprehensive Approach to Extending Independent Living.
Int. J. Soc. Robotics, 2014

HandSOM - neural clustering of hand motion for gesture recognition in real time.
Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014

Improving reinforcement learning with interactive feedback and affordances.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Human Action Recognition with Hierarchical Growing Neural Gas Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

RatSLAM on Humanoids - A Bio-Inspired SLAM Model Adapted to a Humanoid Robot.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Interactive Language Understanding with Multiple Timescale Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Improving Humanoid Robot Speech Recognition with Sound Source Localisation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

A Multichannel Convolutional Neural Network for Hand Posture Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Robust fall detection with an assistive humanoid robot.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Real-time gesture recognition using a humanoid robot with a deep neural architecture.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

FINGeR: Framework for interactive neural-based gesture recognition.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Improving Domain-independent Cloud-Based Speech Recognition with Domain-Dependent Phonetic Post-Processing.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Hybrid classifiers based on semantic data subspaces for two-level text categorization.
Int. J. Hybrid Intell. Syst., 2013

Learning indoor robot navigation using visual and sensorimotor map information.
Frontiers Neurorobotics, 2013

Hierarchical SOM-based detection of novel behavior for 3D human tracking.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Neural Hopfield-ensemble for multi-class head pose detection.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Neural and statistical processing of spatial cues for sound source localisation.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data.
Proceedings of the IJCAI 2013, 2013

Improved estimation of hand postures using depth images.
Proceedings of the 16th International Conference on Advanced Robotics, 2013

Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
Real-world reinforcement learning for autonomous humanoid robot docking.
Robotics Auton. Syst., 2012

A predictive network architecture for a robust and smooth robot docking behavior.
Paladyn J. Behav. Robotics, 2012

Special issue on advances in developmental robotics.
Paladyn J. Behav. Robotics, 2012

Smoke and mirrors - Virtual realities for sensor fusion experiments in biomimetic robotics.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2012

A neural approach for robot navigation based on cognitive map learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A neurocomputational amygdala model of auditory fear conditioning: A hybrid system approach.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A SOM-based model for multi-sensory integration in the superior colliculus.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Hybrid Ensembles Using Hopfield Neural Networks and Haar-Like Features for Face Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Action-Driven Perception for a Humanoid.
Proceedings of the Agents and Artificial Intelligence - 4th International Conference, 2012

What do Objects Feel Like? - Active Perception for a Humanoid Robot.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012

Adaboost and Hopfield Neural Networks on different image representations for robust face detection.
Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

A Fast Subspace Text Categorization Method Using Parallel Classifiers.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2012

2011
A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera.
J. Ambient Intell. Smart Environ., 2011

Semantic subspace learning for text classification using hybrid intelligent techniques.
Int. J. Hybrid Intell. Syst., 2011

Real-World Reinforcement Learning for Autonomous Humanoid Robot Charging in a Home Environment.
Proceedings of the Towards Autonomous Robotic Systems - 12th Annual Conference, 2011

Reward-driven learning of sensorimotor laws and visual features.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Person Tracking Based on a Hybrid Neural Probabilistic Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Hybrid Parallel Classifiers for Semantic Subspace Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Determining Cooperation in Multiagent Systems with Cultural Traits.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 2, 2011

Hybrid classifiers for improved semantic subspace learning of news documents.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

2010
A biologically inspired spiking neural network model of the auditory midbrain for sound source localisation.
Neurocomputing, 2010

Reinforcement Learning for Scheduling of Maintenance.
Proceedings of the Research and Development in Intelligent Systems XXVII, 2010

Configuring the stochastic Helmholtz machine for subcortical emotional learning.
Proceedings of the International Joint Conference on Neural Networks, 2010

Semantic Subspace Learning with conditional significance vectors.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Towards Computational Modelling of Neural Multimodal Integration Based on the Superior Colliculus Concept.
Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

Multimodal communication in animals, humans and robots: An introduction to perspectives in brain-inspired informatics.
Neural Networks, 2009

Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks.
Neural Networks, 2009

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

Elden, L (2007). Matrix Methods in Data Mining and Pattern Recognition. Philadelphia (USA): Society for Industrial and Applied Mathematics.
Cogn. Syst. Res., 2009

Actor-Critic Learning for Platform-Independent Robot Navigation.
Cogn. Comput., 2009

A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments.
Proceedings of the International Joint Conference on Neural Networks, 2009

Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain.
Proceedings of the Artificial Neural Networks, 2009

2008
Appearance-based localization for mobile robots using digital zoom and visual compass.
Robotics Auton. Syst., 2008

A novel self-organising clustering model for time-event documents.
Electron. Libr., 2008

Mobile robot broadband sound localisation using a biologically inspired spiking neural network.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

A neural wake-sleep learning architecture for associating robotic facial emotions.
Proceedings of the International Joint Conference on Neural Networks, 2008

Hybrid learning architecture for unobtrusive infrared tracking support.
Proceedings of the International Joint Conference on Neural Networks, 2008

Visual robot homing using Sarsa(lambda), whole image measure, and radial basis function.
Proceedings of the International Joint Conference on Neural Networks, 2008

A Biologically Inspired Spiking Neural Network for Sound Localisation by the Inferior Colliculus.
Proceedings of the Artificial Neural Networks, 2008

MIRA: A Learning Multimodal Interactive Robot Agent.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
A self-organizing map of sigma-pi units.
Neurocomputing, 2007

Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery.
Proceedings of the 3rd International Workshop on Neural-Symbolic Learning and Reasoning, 2007

Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

2006
A hybrid generative and predictive model of the motor cortex.
Neural Networks, 2006

Data mining using rule extraction from Kohonen self-organising maps.
Neural Comput. Appl., 2006

A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot.
Knowl. Based Syst., 2006

Robot docking based on omnidirectional vision and reinforcement learning.
Knowl. Based Syst., 2006

Call classification using recurrent neural networks, support vector machines and finite state automata.
Knowl. Inf. Syst., 2006

Temporal sequence detection with spiking neurons: towards recognizing robot language instructions.
Connect. Sci., 2006

Bioinspired Auditory Sound Localisation for Improving the Signal to Noise Ratio of Socially Interactive Robots.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Reinforcement Learning for Platform-Independent Visual Robot Control.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Spoken language classification using hybrid classifier combination.
Int. J. Hybrid Intell. Syst., 2005

Grounding Neural Robot Language in Action.
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

Towards Biomimetic Neural Learning for Intelligent Robots.
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots.
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

Image Invariant Robot Navigation Based on Self Organising Neural Place Codes.
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

Auditory robotic tracking of sound sources using hybrid cross-correlation and recurrent networks.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Training without data: Knowledge Insertion into RBF Neural Networks.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Image Segmentation by Complex-Valued Units.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Reinforcement Learning in MirrorBot.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Grasping with flexible viewing-direction with a learned coordinate transformation network.
Proceedings of the 5th IEEE-RAS International Conference on Humanoid Robots, 2005

Hybrid Intelligent Systems and Cognitive Robotics.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

2004
Towards multimodal neural robot learning.
Robotics Auton. Syst., 2004

Robot docking with neural vision and reinforcement.
Knowl. Based Syst., 2004

Spike-timing-dependent synaptic plasticity: from single spikes to spike trains.
Neurocomputing, 2004

Neural Network Based Document Clustering Using WordNet Ontologies.
Int. J. Hybrid Intell. Syst., 2004

Hybrid Neural Document Clustering Using Guided Self-Organization and WordNet.
IEEE Intell. Syst., 2004

AudioMine: Medical Data Mining in Heterogeneous Audiology Records.
Proceedings of the International Conference on Computational Intelligence, 2004

Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering.
Proceedings of the Advances in Information Retrieval, 2004

2003
Learning robot actions based on self-organising language memory.
Neural Networks, 2003

Symbolic state transducers and recurrent neural preference machines for text mining.
Int. J. Approx. Reason., 2003

A modular approach to self-organization of robot control based on language instruction.
Connect. Sci., 2003

A Self-Organising Hybrid Model for Dynamic Text Clustering.
Proceedings of the Research and Development in Intelligent Systems XX, 2003

Incorporating Reactive Learning Behaviour into a Mini-robot Platform.
Proceedings of the Research and Development in Intelligent Systems XX, 2003

A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Object Localisation Using Laterally Connected "What" and "Where" Associator Networks.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Learning Localisation Based on Landmarks Using Self-Organisation.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Hybrid preference machines based on inspiration from neuroscience.
Cogn. Syst. Res., 2002

Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites.
Proceedings of the Artificial Neural Networks, 2002

Recurrent Neural Learning for Helpdesk Call Routing.
Proceedings of the Artificial Neural Networks, 2002

Selforganizing Classification on the Reuters News Corpus.
Proceedings of the 19th International Conference on Computational Linguistics, 2002

2001
The Extraction and Comparison of Knowledge from Local Function Networks.
Int. J. Comput. Intell. Appl., 2001

The Present and the Future of Hybrid Neural Symbolic Systems: Some Reflections from the NIPS Workshop.
AI Mag., 2001

Towards Novel Neuroscience-Inspired Computing.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

Knowledge Extraction from Local Function Networks.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

A Mirror Neuron System for Syntax Acquisition.
Proceedings of the Artificial Neural Networks, 2001

2000
Neural Network Agents for Learning Semantic Text Classification.
Inf. Retr., 2000

Neural Fuzzy Preference Integration Using Neural Preference Moore Machines.
Int. J. Neural Syst., 2000

Knowledge Extraction from Transducer Neural Networks.
Appl. Intell., 2000

Meaning Spotting and Robustness of Recurrent Networks.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Complex Preferences for the Integration of Neural Codes.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Knowledge extraction from radial basis function networks and multilayer perceptrons.
Proceedings of the International Joint Conference Neural Networks, 1999

Rule generation from neural networks for student assessment.
Proceedings of the International Joint Conference Neural Networks, 1999

Preference Moore Machines for Neural Fuzzy Integration.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Hybrid Neural Plausibility Networks for News Agents.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998
An Overview of Hybrid Neural Systems.
Proceedings of the Hybrid Neural Systems, 1998

Towards Hybrid Neural Learning Internet Agents.
Proceedings of the Hybrid Neural Systems, 1998

1997
SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks.
J. Artif. Intell. Res., 1997

1996
Interactive Spoken-Language Processing in a Hybrid Connectionist System.
Computer, 1996

Towards constructive and destructive dynamic network configuration.
Proceedings of the 4th European Symposium on Artificial Neural Networks, 1996

Learning dialog act processing.
Proceedings of the 16th International Conference on Computational Linguistics, 1996

1995
Learning approaches for natural language processing.
Proceedings of the Connectionist, 1995

Using hybrid connectionist learning for speech/language analysis.
Proceedings of the Connectionist, 1995

1994
Learning Fault-Tolerant Speech Parsing with SCREEN.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993
A hybrid connectionist approach for a scanning understanding of natural language phrases.
PhD thesis, 1993

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

1992
A Hybrid and Connectionist Architecture for a Scanning Understanding.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992

Learning a Scanning Understanding for "Real-world" Library Categorization.
Proceedings of the 3rd Applied Natural Language Processing Conference, 1992

1990
Combining Symbolic and Connectionist Techniques for Coordination in Natural Language.
Proceedings of the GWAI-90, 1990

1989
Integration of Semantic and Syntactic Constraints for Structural Noun Phrase Disambiguation.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989


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