Thomas A. Runkler

Orcid: 0000-0002-5465-198X

Affiliations:
  • Technical University Munich, Germany


According to our database1, Thomas A. Runkler authored at least 158 papers between 1993 and 2024.

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

Timeline

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Bibliography

2024
Einstein consistency of fuzzy preference relations.
J. Intell. Fuzzy Syst., March, 2024

2023
Combining Sub-Symbolic and Symbolic Methods for Explainability.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

TinyMetaFed: Efficient Federated Meta-Learning for TinyML.
CoRR, 2023

Automatic Trade-off Adaptation in Offline RL.
CoRR, 2023

TinyReptile: TinyML with Federated Meta-Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

User-Interactive Offline Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Convergence Study of the Possibilistic One Means Algorithm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022
Towards Semantic Management of On-Device Applications in Industrial IoT.
ACM Trans. Internet Techn., November, 2022

A metaheuristic approach for mining gradual patterns.
Swarm Evol. Comput., 2022

PIU: risk-sensitive decision making using Pareto optimization of interval utilities induced by fuzzy preference relations.
Soft Comput., 2022

How to Manage Tiny Machine Learning at Scale: An Industrial Perspective.
CoRR, 2022

Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning.
CoRR, 2022

Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT.
Proceedings of the Semantic Web - ISWC 2022, 2022

Neuro-symbolic computing with spiking neural networks.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Pareto Interval Type-2 Fuzzy Decision Making for Labeled Objects.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Towards Data-Free Domain Generalization.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Ant colony optimization for mining gradual patterns.
Int. J. Mach. Learn. Cybern., 2021

Overcoming model bias for robust offline deep reinforcement learning.
Eng. Appl. Artif. Intell., 2021

Learning through structure: towards deep neuromorphic knowledge graph embeddings.
CoRR, 2021

Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

ClaRe-GAN: Generation of Class-Specific Time Series.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Translation of Time Series Data from Controlled DC Motors using Disentangled Representation Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Combining Sub-symbolic and Symbolic Methods for Explainability.
Proceedings of the Rules and Reasoning - 5th International Joint Conference, 2021

Demystifying Graph Neural Network Explanations.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

A New Concept for Explaining Graph Neural Networks.
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

TinyOL: TinyML with Online-Learning on Microcontrollers.
Proceedings of the International Joint Conference on Neural Networks, 2021

Evaluation of Generative Adversarial Networks for Time Series Data.
Proceedings of the International Joint Conference on Neural Networks, 2021

Behavior Constraining in Weight Space for Offline Reinforcement Learning.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Differentially Private Time Series Generation.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

The synergy of complex event processing and tiny machine learning in industrial IoT.
Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021

2020
PrefMap: Visualization of fuzzy pairwise preference structures.
J. Intell. Fuzzy Syst., 2020

Bayesian decomposition of multi-modal dynamical systems for reinforcement learning.
Neurocomputing, 2020

Interpretable Control by Reinforcement Learning.
CoRR, 2020

Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics.
CoRR, 2020

Visual Evaluation of Generative Adversarial Networks for Time Series Data.
CoRR, 2020

Generalized Weak Transitivity of Preference.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

DR-TiST: Disentangled Representation for Time Series Translation Across Application Domains.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Supporting Skill-based Flexible Manufacturing with Symbolic AI Methods.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Neural Topic Modeling with Continual Lifelong Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Comparing Intervals Using Type Reduction.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Ontology-Based Skill Description Learning for Flexible Production Systems.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

TopicBERT for Energy Efficient Document Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers.
CoRR, 2019

Neural Architectures for Fine-Grained Propaganda Detection in News.
CoRR, 2019

Data Association with Gaussian Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Canonical Fuzzy Preference Relations.
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Generating interpretable reinforcement learning policies using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Just-In-Time Supply Chain Management Using Interval Type-2 Fuzzy Decision Making.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Optimizing the C Index Using a Canonical Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computation, 2019

interpretable dynamics models for data-efficient reinforcement learning.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Neural Relation Extraction within and across Sentence Boundaries.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Type reduction operators for interval type-2 defuzzification.
Inf. Sci., 2018

Interpretable policies for reinforcement learning by genetic programming.
Eng. Appl. Artif. Intell., 2018

Multimodal Deep Gaussian Processes.
CoRR, 2018

Neural Relation Extraction Within and Across Sentence Boundaries.
CoRR, 2018

Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Explanation of Action Plans Through Ontologies.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2018 Conferences, 2018

Bayesian Alignments of Warped Multi-Output Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Mapping Utilities to Transitive Preferences.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

Diagnostics of Trains with Semantic Diagnostics Rules.
Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

Generating interpretable fuzzy controllers using particle swarm optimization and genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Sequential Possibilistic One-Means Clustering with Dynamic Eta.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Sensitivity analysis for predictive uncertainty.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
Interval type-2 fuzzy decision making.
Int. J. Approx. Reason., 2017

Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies.
Eng. Appl. Artif. Intell., 2017

A benchmark environment motivated by industrial control problems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Semantic Rule-Based Equipment Diagnostic.
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

Semantic Rule-Based Equipment Diagnostics.
Proceedings of the Semantic Web - ISWC 2017, 2017

Ontology-based integration of performance related data and models: An application to industrial turbine analytics.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Batch reinforcement learning on the industrial benchmark: First experiences.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Sequential possibilistic one-means clustering.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

SemDia: Semantic Rule-Based Equipment Diagnostics Tool.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
The Generalized C Index for Internal Fuzzy Cluster Validity.
IEEE Trans. Fuzzy Syst., 2016

Reinforcement Learning with Particle Swarm Optimization Policy (PSO-P) in Continuous State and Action Spaces.
Int. J. Swarm Intell. Res., 2016

Particle Swarm Optimization for Generating Fuzzy Reinforcement Learning Policies.
CoRR, 2016

Constructing Preference Relations from Utilities and Vice Versa.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Towards Semantic Reasoning in Knowledge Management Systems.
Proceedings of the Artificial Intelligence for Knowledge Management, 2016

Semantic Framework for Industrial Analytics and Diagnostics.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Generation of linguistic membership functions from word vectors.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Data Analytics - Models and Algorithms for Intelligent Data Analysis, Second Edition
Springer, ISBN: 978-3-658-14075-5, 2016

2015
Exploiting similarity in system identification tasks with recurrent neural networks.
Neurocomputing, 2015

Model-based Performance Evaluation of Large-Scale Smart Metering Architectures.
Proceedings of the 4th International Workshop on Large-Scale Testing, 2015

Properties of interval type-2 defuzzification operators.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Fuzzy Graph Clustering based on Non-Euclidean Relational Fuzzy c-Means.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Stream Processing on Demand for Lambda Architectures.
Proceedings of the Computer Performance Engineering - 12th European Workshop, 2015

2014
Regularized Recurrent Neural Networks for Data Efficient Dual-Task Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Multidimensional scaling with multiswarming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Ontology-Based Translation of Natural Language Queries to SPARQL.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013
Insect Swarm Algorithms for Dynamic MAX-SAT Problems.
Proceedings of the Metaheuristics for Dynamic Optimization, 2013

Topology Preserving Feature Extraction with Multiswarm Optimization.
Proceedings of the IEEE International Conference on Systems, 2013

A CEP Technology Stack for Situation Recognition on the Gumstix Embedded Controller.
Proceedings of the 43. Jahrestagung der Gesellschaft für Informatik, 2013

2012
Recurrent Neural Networks for Industrial Procurement Decisions.
Künstliche Intell., 2012

Learning and Self-organization for Spatiotemporal Systems.
Künstliche Intell., 2012

Datenbasierte Optimalsteuerung mit neuronalen Netzen und dateneffizientem Reinforcement Learning.
Autom., 2012

Merging Partitions Using Similarities of Anchor Subsets.
Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

Support vector machines for program analysis.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Fuzzy approaches to hard c-means clustering.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Partially supervised k-harmonic means clustering.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010
Optimierung industrieller Logistikprozesse mit Verfahren der Schwarmintelligenz und rekurrenten neuronalen Netzen.
Künstliche Intell., 2010

Two cooperative ant colonies for feature selection using fuzzy models.
Expert Syst. Appl., 2010

Comparing Partitions by Subset Similarities.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

A new approach to clustering using eigen decomposition.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning.
IEEE Trans. Evol. Comput., 2009

Distributed supply chain management using ant colony optimization.
Eur. J. Oper. Res., 2009

Forecasting of clustered time series with recurrent neural networks and a fuzzy clustering scheme.
Proceedings of the International Joint Conference on Neural Networks, 2009

Fuzzy c-Means Herding.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
Wasp swarm optimization of the c-means clustering model.
Int. J. Intell. Syst., 2008

Optimal attractors and Switched Kanban Control in Discrete Strange Billiards.
Int. J. Bifurc. Chaos, 2008

Rescheduling and optimization of logistic processes using GA and ACO.
Eng. Appl. Artif. Intell., 2008

Fuzzy classification in ant feature selection.
Proceedings of the FUZZ-IEEE 2008, 2008

Fuzzy c-auto regression models.
Proceedings of the FUZZ-IEEE 2008, 2008

Learning of Bayesian networks by a local discovery ant colony algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Ant Colony Optimization and its Application to Regular and Dynamic MAX-SAT Problems.
Proceedings of the Advances in Biologically Inspired Information Systems: Models, 2007

Optimization of logistic systems using fuzzy weighted aggregation.
Fuzzy Sets Syst., 2007

Online Optimization of a Color Sorting Assembly Buffer Using Ant Colony Optimization.
Proceedings of the Operations Research, 2007

Ant Colony Optimization Applied to Feature Selection in Fuzzy Classifiers.
Proceedings of the Foundations of Fuzzy Logic and Soft Computing, 2007

Wasp Swarm Algorithm for Dynamic MAX-SAT Problems.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Pareto Optimality of Cluster Objective and Validity Functions.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
Distributed optimisation of a logistic system and its suppliers using ant colonies.
Int. J. Syst. Sci., 2006

Fuzzy Clustering by Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

An ant algorithm for static and dynamic MAX-SAT problems.
Proceedings of the 1st International ICST Conference on Bio Inspired Models of Network, 2006

2005
Ant colony optimization of clustering models.
Int. J. Intell. Syst., 2005

Soft computing optimization methods applied to logistic processes.
Int. J. Approx. Reason., 2005

Relational Gustafson Kessel Clustering Using Medoids and Triangulation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Data Mining.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004
A multi-agent approach for supply chain management using ant colony optimization.
Proceedings of the IEEE International Conference on Systems, 2004

Fuzzy histograms and fuzzy chi-squared tests for independence.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Ant Colony Optimization for dynamic Traveling Salesman Problems.
Proceedings of the ARCS 2004, 2004

2003
Optimizing logistic processes using a fuzzy decision making approach.
IEEE Trans. Syst. Man Cybern. Part A, 2003

Web mining with relational clustering.
Int. J. Approx. Reason., 2003

Fuzzy nonlinear projection.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

Evolved genetic algorithms with fuzzy aggregation applied to priorities in logistic systems.
Proceedings of 9th IEEE International Conference on Emerging Technologies and Factory Automation, 2003

Optimization of Logistic Processes in Supply-Chains Using Meta-heuristics.
Proceedings of the Progress in Artificial Intelligence, 2003

2002
Classification and prediction of road traffic using application-specific fuzzy clustering.
IEEE Trans. Fuzzy Syst., 2002

Fuzzy optimization of logistic processes.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Ant Colonies as Logistic Processes Optimizers.
Proceedings of the Ant Algorithms, Third International Workshop, 2002

Should Tendency Assessment Precede Rule Extraction by Clustering? (No!).
Proceedings of the Advances in Computational Intelligence and Learning: Methods and Applications, 2002

2001
Prozessmodellierung und -optimierung mit Fuzzy-Clustering.
Künstliche Intell., 2001

Fuzzy Clustering for Data Compression, Modeling, and Optimization in Recovered Paper Industry.
Eur. J. Control, 2001

Decentralized Control of Hybrid Systems.
Proceedings of the Fifth International Symposium on Autonomous Decentralized Systems, 2001

Intelligent control of the refining process for improved fiber quality.
Proceedings of the 6th European Control Conference, 2001

2000
Automatic keyword extraction with relational clustering and Levenshtein distances.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

A control sequence generator for fuzzy gain schedulers.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Information mining - Methoden, Algorithmen und Anwendungen intelligenter Datenanalyse.
Computational intelligence, Vieweg, ISBN: 978-3-528-05741-1, 2000

1999
Alternating cluster estimation: a new tool for clustering and function approximation.
IEEE Trans. Fuzzy Syst., 1999

Function approximation with polynomial membership functions and alternating cluster estimation.
Fuzzy Sets Syst., 1999

Neural computation in steel industry.
Proceedings of the 5th European Control Conference, 1999

Data compression and soft sensors in the pulp and paper industry.
Proceedings of the 5th European Control Conference, 1999

Probabilistische und Fuzzy Methoden für die Clusteranalyse.
Proceedings of the Fuzzy Theorie und Stochastik, 1999

1998
Automatic generation of first order Takagi-Sugeno systems using fuzzy c-elliptotypes clustering.
J. Intell. Fuzzy Syst., 1998

Compression of Industrial Process Data Using Fast Alternating Cluster Estimation (FACE).
Proceedings of the Data Mining und Data Warehousing, 1998

1997
Selection of appropriate defuzzification methods using application specific properties.
IEEE Trans. Fuzzy Syst., 1997

Some issues in system identification using clustering.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Automatische Selektion signifikanter scharfer Werte in unscharfen regelbasierten Systemen der Informations- und Automatisierungstechnik.
PhD thesis, 1996

1995
Multidimensional defuzzification - fast algorithms for the determination of crisp characteristic subsets.
Proceedings of the 1995 ACM symposium on applied computing, 1995

1994
DECADE - fast centroid approximation defuzzification for real time fuzzy control applications.
Proceedings of the 1994 ACM Symposium on Applied Computing, 1994

1993
Approximative Synthese von Fuzzy - Controllern.
Proceedings of the Fuzzy Logic, 1993


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