2025
Towards a joint semantic analysis in mobile forensics environments.
Forensic Sci. Int. Digit. Investig., 2025
2024
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget.
CoRR, 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization.
CoRR, 2024
Semi-supervised topic modelling as a tool for hypothesis-driven forensic communication analysis.
Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024
Forensic Communication Analysis: Challenges and Opportunities.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024
2023
Interest-Driven Exploration With Observational Learning for Developmental Robots.
IEEE Trans. Cogn. Dev. Syst., 2023
logLTN: Differentiable Fuzzy Logic in the Logarithm Space.
CoRR, 2023
MocoSFL: enabling cross-client collaborative self-supervised learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
MECTA: Memory-Economic Continual Test-Time Model Adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
FoSIL at PAN'23: Trigger Detection with a Two Stage Topic Classifier.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
2022
Editorial: Constructive approach to spatial cognition in intelligent robotics.
Frontiers Neurorobotics, September, 2022
T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation.
IEEE Trans. Knowl. Data Eng., 2022
Innovation Paths for Machine Learning in Robotics [Industry Activities].
IEEE Robotics Autom. Mag., 2022
Outracing champion Gran Turismo drivers with deep reinforcement learning.
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Nat., 2022
MoNA: A Forensic Analysis Platform for Mobile Communication.
Künstliche Intell., 2022
Challenges and Opportunities of Applying Reinforcement Learning to Autonomous Racing.
IEEE Intell. Syst., 2022
Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints.
CoRR, 2022
MA-Dreamer: Coordination and communication through shared imagination.
CoRR, 2022
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Interpretable Relational Representations for Food Ingredient Recommendation Systems.
Proceedings of the 13th International Conference on Computational Creativity, 2022
Recommendation of Query Terms for Colloquial Texts in Forensic Text Analysis.
Proceedings of the 52. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2022, Informatik in den Naturwissenschaften, 26., 2022
FoSIL at CheckThat!-2022: Using Human Behaviour-Based Optimization for Text Classification.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
2021
Logic Tensor Networks: Theory and Applications.
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021
Editorial: Language and Robotics.
Frontiers Robotics AI, 2021
Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation.
CoRR, 2021
The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL.
CoRR, 2021
RecipeBowl: A Cooking Recommender for Ingredients and Recipes Using Set Transformer.
IEEE Access, 2021
Extending Real Logic with Aggregate Functions.
Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021
AIxFood'21: 3rd Workshop on AIxFood.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
2020
Guest Editorial Special Issue on Multidisciplinary Perspectives on Mechanisms of Language Learning.
IEEE Trans. Cogn. Dev. Syst., 2020
Assessing SATNet's Ability to Solve the Symbol Grounding Problem.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Learning to Communicate: Challenges in Language Learning by AI, Robots and Humans (NII Shonan Meeting 150).
NII Shonan Meet. Rep., 2019
Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning.
FLAP, 2019
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks.
Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019
FoSIL - Offensive language classification of German tweets combining SVMs and deep learning techniques.
Proceedings of the 15th Conference on Natural Language Processing, 2019
Multi-Label Classification of Blurbs with SVM Classifier Chains.
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Proceedings of the 15th Conference on Natural Language Processing, 2019
Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) For Learning Multi-Goal, Continuous Action and State Space Controllers.
Proceedings of the International Conference on Robotics and Automation, 2019
Learning to Parse Grounded Language using Reservoir Computing.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019
2018
Online Learning of Body Orientation Control on a Humanoid Robot Using Finite Element Goal Babbling.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
2017
Impact of Tutoring Strategies in Grounded Lexicon Learning.
Proceedings of the Social Robotics - 9th International Conference, 2017
Computational models of tutor feedback in language acquisition.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017
External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017
Usage-Based Grounded Construction Learning - A Computational Model.
Proceedings of the 2017 AAAI Spring Symposia, 2017
Can We Already Conceive of a Computational Construction Grammar that is Adequate to Address the Data of Neurolinguistics?
Proceedings of the 2017 AAAI Spring Symposia, 2017
2016
J. Exp. Theor. Artif. Intell., 2016
Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics, and Construction Grammar for Spatial Language.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Referential uncertainty and word learning in high-dimensional, continuous meaning spaces.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016
Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway.
Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016
2015
Procedural semantics for autonomous robots - a case study in locative spatial language.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Co-Acquisition of Syntax and Semantics - An Investigation in Spatial Language.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Incremental grounded language learning in robot-robot interactions - Examples from spatial language.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015
A Vector Representation of Fluid Construction Grammar Using Holographic Reduced Representations.
Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science / 4th European Conference on Cognitive Science / 11th International Conference on Cognitive Science, 2015
Extracting Biological Pathway Models From NLP Event Representations.
Proceedings of the Workshop on Biomedical Natural Language Processing, BioNLP@IJCNLP 2015, 2015
2014
Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014
Discovering communication through ontogenetic ritualisation.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014
2013
Evolving Grounded Spatial Language Strategies.
Künstliche Intell., 2013
Grounded lexicon acquisition - Case studies in spatial language.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013
Evolutionary Explanations for Spatial Language - A Case Study on Landmarks.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013
2012
Emergent Action Language on Real Robots.
Proceedings of the Language Grounding in Robots, 2012
Open-ended Procedural Semantics.
Proceedings of the Language Grounding in Robots, 2012
Dealing with Perceptual Deviation: Vague Semantics for Spatial Language and Quantification.
Proceedings of the Language Grounding in Robots, 2012
A Perceptual System for Language Game Experiments.
Proceedings of the Language Grounding in Robots, 2012
Posture Recognition Based on Slow Feature Analysis.
Proceedings of the Language Grounding in Robots, 2012
Proceedings of the Language Grounding in Robots, 2012
An Experiment in Temporal Language Learning.
Proceedings of the Language Grounding in Robots, 2012
2011
Proceedings of the New Directions in Logic, Language and Computation, 2011
Recruitment, selection and alignment of spatial language strategies.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011
2010
Integrating high-level cognitive systems with sensorimotor control.
Adv. Eng. Informatics, 2010
Open-ended Grounded Semantics.
Proceedings of the ECAI 2010, 2010
Acquisition of Grammar in Autonomous Artificial Systems.
Proceedings of the ECAI 2010, 2010
2009
Biologically inspired posture recognition and posture change detection for humanoid robots.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009
How Experience of the Body Shapes Language about Space.
Proceedings of the IJCAI 2009, 2009
2008
Using reference objects to improve vision-based bearing measurements.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
Can Body Language Shape Body Image?
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008
2007
Improving Vision-Based Distance Measurements Using Reference Objects.
Proceedings of the RoboCup 2007: Robot Soccer World Cup XI, 2007
2006
Further Studies on the Use of Negative Information in Mobile Robot Localization.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006
2005
Exploiting the Unexpected: Negative Evidence Modeling and Proprioceptive Motion Modeling for Improved Markov Localization.
Proceedings of the RoboCup 2005: Robot Soccer World Cup IX, 2005
Making use of what you don't see: negative information in Markov localization.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005