GasNets and CTRNNs - A Comparison in Terms of Evolvability. - Sven Magg; Andrew Philippides (SAB, 2006)

Pattern Formation in Homogeneous and Heterogeneous Swarms: Differences Between Versatile and Specialized Agents. - Sven Magg; Rene te Boekhorst (ALIFE, 2007)

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)

A Multichannel Convolutional Neural Network for Hand Posture Recognition. - Pablo V. A. Barros; Sven Magg; 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)

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

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

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

An efficient hybridization of Genetic Algorithms and Particle Swarm Optimization for inverse kinematics. - Sebastian Starke; Norman Hendrich; Sven Magg; Jianwei Zhang 001 (ROBIO, 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)

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

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

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

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

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)

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

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

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

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

Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs. - Chandrakant Bothe; Sven Magg; Cornelius Weber; 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)

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)

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)

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)

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

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

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

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

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

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

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

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

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

Multimodal video retrieval with CLIP: a user study. - Tayfun Alpay; Sven Magg; Philipp Broze; Daniel Speck (Inf. Retr. J., 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)

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)