Thomas A. Runkler

214 papers A* 6A 2B 39C 9Misc 5Journal 89Unranked 55
YearRankTypeTitle / Venue / Authors
2026 J jnl
Geometric foundations of possibilistic clustering: A hard possibilistic clustering algorithm.
Fuzzy Sets Syst.
James C. Bezdek, Thomas A. Runkler
2026 J jnl
LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities.
CoRR
Yongjian Tang, Thomas A. Runkler
2025 — conf
A Study on Joint Model and Hyperparameter Optimization for Federated Transformer Pre-Training.
FLLM
Claudia Großer, Denis Krompaß, Haokun Chen, Mark Buckley, Thomas A. Runkler
2025 — conf
Automated Tuning of Fuzzy Systems to Solve Ordinary Differential Equations.
FUZZ
Luca Ferranti, Thomas A. Runkler
2025 — conf
Calibrated Ellipsoidal Gaussian Clustering.
FUZZ
Thomas A. Runkler, Wenlong Wu, James M. Keller
2025 — book
Data Analytics - Models and Algorithms for Intelligent Data Analysis - A Comprehensive Introduction, Fourth Editiontion
Thomas A. Runkler
2025 J jnl
Is Q-learning an Ill-posed Problem?
CoRR
Philipp Wissmann, Daniel Hein, Steffen Udluft, Thomas A. Runkler
2025 B conf
Physics Informed Neural Networks for Tool Condition Monitoring in Subtractive Manufacturing.
SMC
Jakob Rothe, Safa Yilmaz, Raven T. Reisch, Thomas A. Runkler
2025 — conf
The Few-shot Dilemma: Over-prompting Large Language Models.
FLLM
Yongjian Tang, Doruk Tuncel, Christian Körner, Thomas A. Runkler
2025 J jnl
The Few-shot Dilemma: Over-prompting Large Language Models.
CoRR
Yongjian Tang, Doruk Tuncel, Christian Körner, Thomas A. Runkler
2025 J jnl
Variational Quantum Circuits in Offline Contextual Bandit Problems.
CoRR
Lukas Schulte, Daniel Hein, Steffen Udluft, Thomas A. Runkler
2025 — conf
Virtually Commissioned Semantic Recipes based on OPC UA Skills.
ICPS
Kay Köhle, Darko Anicic, Thomas A. Runkler, Kirill Dorofeev, Aparna Saisree Thuluva, René Graf
2025 A* conf
Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia Tables.
SIGIR
Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp
2024 J jnl
Clustering-based gradual pattern mining.
Int. J. Mach. Learn. Cybern.
Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent, Lesley Bonyo
2024 J jnl
Conceptual In-Context Learning and Chain of Concepts: Solving Complex Conceptual Problems Using Large Language Models.
CoRR
Nishtha N. Vaidya, Thomas A. Runkler, Thomas Hubauer, Veronika Haderlein-Hoegberg, Maja Mlicic Brandt
2024 J jnl
Einstein consistency of fuzzy preference relations.
J. Intell. Fuzzy Syst.
Thomas A. Runkler
2024 A conf
FsPONER: Few-Shot Prompt Optimization for Named Entity Recognition in Domain-Specific Scenarios.
ECAI
Yongjian Tang, Rakebul Hasan, Thomas A. Runkler
2024 J jnl
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios.
CoRR
Yongjian Tang, Rakebul Hasan, Thomas A. Runkler
2024 — conf
Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering.
ClinicalNLP@NAACL
Cuong Nhat Ha, Shima Asaadi, Sanjeev Kumar Karn, Oladimeji Farri, Tobias Heimann, Thomas A. Runkler
2024 J jnl
Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering.
CoRR
Cuong Nhat Ha, Shima Asaadi, Sanjeev Kumar Karn, Oladimeji Farri, Tobias Heimann, Thomas A. Runkler
2024 Misc conf
Model-Based Offline Quantum Reinforcement Learning.
QCE
Simon Eisenmann, Daniel Hein, Steffen Udluft, Thomas A. Runkler
2024 J jnl
Model-based Offline Quantum Reinforcement Learning.
CoRR
Simon Eisenmann, Daniel Hein, Steffen Udluft, Thomas A. Runkler
2024 J jnl
On-device Online Learning and Semantic Management of TinyML Systems.
CoRR
Haoyu Ren, Xue Li, Darko Anicic, Thomas A. Runkler
2024 J jnl
On-device Online Learning and Semantic Management of TinyML Systems.
ACM Trans. Embed. Comput. Syst.
Haoyu Ren, Darko Anicic, Xue Li, Thomas A. Runkler
2024 J jnl
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning.
CoRR
Batikan Bora Ormanci, Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2024 — conf
Visualization of Preference Matrices for Labeled Objects.
IPMU (1)
Thomas A. Runkler
2024 J jnl
Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition.
CoRR
Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp
2023 — conf
A Convergence Study of the Possibilistic One Means Algorithm.
FUZZ
Thomas A. Runkler
2023 B conf
Automatic Trade-off Adaptation in Offline RL.
ESANN
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2023 J jnl
Automatic Trade-off Adaptation in Offline RL.
CoRR
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2023 — ch.
Combining Sub-Symbolic and Symbolic Methods for Explainability.
Compendium of Neurosymbolic Artificial Intelligence
Anna Himmelhuber, Stephan Grimm, Mitchell Joblin, Sonja Zillner, Thomas A. Runkler
2023 J jnl
TinyMetaFed: Efficient Federated Meta-Learning for TinyML.
CoRR
Haoyu Ren, Xue Li, Darko Anicic, Thomas A. Runkler
2023 — conf
TinyMetaFed: Efficient Federated Meta-learning for TinyML.
PKDD/ECML Workshops (4)
Haoyu Ren, Xue Li, Darko Anicic, Thomas A. Runkler
2023 B conf
TinyReptile: TinyML with Federated Meta-Learning.
IJCNN
Haoyu Ren, Darko Anicic, Thomas A. Runkler
2023 J jnl
TinyReptile: TinyML with Federated Meta-Learning.
CoRR
Haoyu Ren, Darko Anicic, Thomas A. Runkler
2023 A* conf
User-Interactive Offline Reinforcement Learning.
ICLR
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2022 J jnl
A Metaheuristic Approach for Mining Gradual Patterns.
CoRR
Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent
2022 J jnl
A metaheuristic approach for mining gradual patterns.
Swarm Evol. Comput.
Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent
2022 J jnl
Ant Colony Optimization for Mining Gradual Patterns.
CoRR
Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent, Joseph Orero, Edmond Odhiambo Menya
2022 J jnl
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning.
CoRR
Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler
2022 — conf
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods.
SSCI
Anna Himmelhuber, Dominik Dold, Stephan Grimm, Sonja Zillner, Thomas A. Runkler
2022 J jnl
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods.
CoRR
Anna Himmelhuber, Dominik Dold, Stephan Grimm, Sonja Zillner, Thomas A. Runkler
2022 J jnl
How to Manage Tiny Machine Learning at Scale: An Industrial Perspective.
CoRR
Haoyu Ren, Darko Anicic, Thomas A. Runkler
2022 — conf
Neuro-symbolic computing with spiking neural networks.
ICONS
Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler
2022 J jnl
Neuro-symbolic computing with spiking neural networks.
CoRR
Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler
2022 J jnl
PIU: risk-sensitive decision making using Pareto optimization of interval utilities induced by fuzzy preference relations.
Soft Comput.
Thomas A. Runkler
2022 B conf
Pareto Interval Type-2 Fuzzy Decision Making for Labeled Objects.
FUZZ-IEEE
Thomas A. Runkler
2022 Misc conf
SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT.
ISWC
Haoyu Ren, Kirill Dorofeev, Darko Anicic, Youssef Hammad, Roland Eckl, Thomas A. Runkler
2022 J jnl
SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT.
CoRR
Haoyu Ren, Kirill Dorofeev, Darko Anicic, Youssef Hammad, Roland Eckl, Thomas A. Runkler
2022 C conf
Towards Data-Free Domain Generalization.
ACML
Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
2022 J jnl
Towards Semantic Management of On-Device Applications in Industrial IoT.
ACM Trans. Internet Techn.
Haoyu Ren, Darko Anicic, Thomas A. Runkler
2022 J jnl
User-Interactive Offline Reinforcement Learning.
CoRR
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2021 C conf
A New Concept for Explaining Graph Neural Networks.
NeSy
Anna Himmelhuber, Sonja Zillner, Stephan Grimm, Martin Ringsquandl, Mitchell Joblin, Thomas A. Runkler
2021 J jnl
Ant colony optimization for mining gradual patterns.
Int. J. Mach. Learn. Cybern.
Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent, Joseph Onderi Orero, Edmond Odhiambo Menya
2021 B conf
Behavior Constraining in Weight Space for Offline Reinforcement Learning.
ESANN
Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler
2021 J jnl
Behavior Constraining in Weight Space for Offline Reinforcement Learning.
CoRR
Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler
2021 — conf
ClaRe-GAN: Generation of Class-Specific Time Series.
SSCI
Hiba Arnout, Johanna Bronner, Thomas A. Runkler
2021 J jnl
Combining Sub-Symbolic and Symbolic Methods for Explainability.
CoRR
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
2021 B conf
Combining Sub-symbolic and Symbolic Methods for Explainability.
RuleML+RR
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
2021 — conf
Demystifying Graph Neural Network Explanations.
PKDD/ECML Workshops (1)
Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
2021 J jnl
Demystifying Graph Neural Network Explanations.
CoRR
Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
2021 B conf
Differentially Private Time Series Generation.
ESANN
Hiba Arnout, Johanna Bronner, Thomas A. Runkler
2021 B conf
Evaluation of Generative Adversarial Networks for Time Series Data.
IJCNN
Hiba Arnout, Johanna Bronner, Thomas A. Runkler
2021 J jnl
Learning through structure: towards deep neuromorphic knowledge graph embeddings.
CoRR
Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler, Dominik Dold
2021 — conf
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning.
SSCI
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2021 J jnl
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning.
CoRR
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2021 J jnl
Ontology-Based Skill Description Learning for Flexible Production Systems.
CoRR
Anna Himmelhuber, Stephan Grimm, Thomas A. Runkler, Sonja Zillner
2021 J jnl
Overcoming model bias for robust offline deep reinforcement learning.
Eng. Appl. Artif. Intell.
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2021 J jnl
The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT.
CoRR
Haoyu Ren, Darko Anicic, Thomas A. Runkler
2021 — conf
The synergy of complex event processing and tiny machine learning in industrial IoT.
DEBS
Haoyu Ren, Darko Anicic, Thomas A. Runkler
2021 B conf
TinyOL: TinyML with Online-Learning on Microcontrollers.
IJCNN
Haoyu Ren, Darko Anicic, Thomas A. Runkler
2021 J jnl
TinyOL: TinyML with Online-Learning on Microcontrollers.
CoRR
Haoyu Ren, Darko Anicic, Thomas A. Runkler
2021 J jnl
Towards Data-Free Domain Generalization.
CoRR
Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
2021 — conf
Translation of Time Series Data from Controlled DC Motors using Disentangled Representation Learning.
SSCI
Hiba Arnout, Johanna Bronner, Johannes Kehrer, Thomas A. Runkler
2020 J jnl
Bayesian decomposition of multi-modal dynamical systems for reinforcement learning.
Neurocomputing
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2020 B conf
Comparing Intervals Using Type Reduction.
FUZZ-IEEE
Thomas A. Runkler, Chao Chen, Simon Coupland, Robert I. John
2020 B conf
DR-TiST: Disentangled Representation for Time Series Translation Across Application Domains.
IJCNN
Hiba Arnout, Johanna Bronner, Johannes Kehrer, Thomas A. Runkler
2020 — conf
Generalized Weak Transitivity of Preference.
IPMU (1)
Thomas A. Runkler
2020 J jnl
Interpretable Control by Reinforcement Learning.
CoRR
Daniel Hein, Steffen Limmer, Thomas A. Runkler
2020 J jnl
Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics.
CoRR
Manuel A. Roehrl, Thomas A. Runkler, Veronika Brandtstetter, Michel Tokic, Stefan Obermayer
2020 A* conf
Neural Topic Modeling with Continual Lifelong Learning.
ICML
Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze
2020 J jnl
Neural Topic Modeling with Continual Lifelong Learning.
CoRR
Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze
2020 C conf
Ontology-Based Skill Description Learning for Flexible Production Systems.
ETFA
Anna Himmelhuber, Stephan Grimm, Thomas A. Runkler, Sonja Zillner
2020 J jnl
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning.
CoRR
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2020 J jnl
PrefMap: Visualization of fuzzy pairwise preference structures.
J. Intell. Fuzzy Syst.
Thomas A. Runkler
2020 C conf
Supporting Skill-based Flexible Manufacturing with Symbolic AI Methods.
IECON
Ivan Gocev, Stephan Grimm, Thomas A. Runkler
2020 — conf
TopicBERT for Energy Efficient Document Classification.
EMNLP (Findings)
Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze
2020 J jnl
TopicBERT for Energy Efficient Document Classification.
CoRR
Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze
2020 J jnl
Visual Evaluation of Generative Adversarial Networks for Time Series Data.
CoRR
Hiba Arnout, Johannes Kehrer, Johanna Bronner, Thomas A. Runkler
2019 — conf
Canonical Fuzzy Preference Relations.
IFSA/NAFIPS
Thomas A. Runkler
2019 — conf
Data Association with Gaussian Processes.
ECML/PKDD (2)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2019 — conf
Generating interpretable reinforcement learning policies using genetic programming.
GECCO (Companion)
Daniel Hein, Steffen Udluft, Thomas A. Runkler
2019 J jnl
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning.
CoRR
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2019 B conf
Just-In-Time Supply Chain Management Using Interval Type-2 Fuzzy Decision Making.
FUZZ-IEEE
Thomas A. Runkler, Chao Chen, Simon Coupland, Robert I. John
2019 J jnl
Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers.
CoRR
Yatin Chaudhary, Pankaj Gupta, Thomas A. Runkler
2019 J jnl
Neural Architectures for Fine-Grained Propaganda Detection in News.
CoRR
Pankaj Gupta, Khushbu Saxena, Usama Yaseen, Thomas A. Runkler, Hinrich Schütze
2019 A* conf
Neural Relation Extraction within and across Sentence Boundaries.
AAAI
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Thomas A. Runkler
2019 B conf
Optimizing the C Index Using a Canonical Genetic Algorithm.
EvoApplications
Thomas A. Runkler, James C. Bezdek
2019 B conf
interpretable dynamics models for data-efficient reinforcement learning.
ESANN
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2018 A* conf
Bayesian Alignments of Warped Multi-Output Gaussian Processes.
NeurIPS
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2018 — conf
Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems.
ECML/PKDD (3)
Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler
2018 B conf
Diagnostics of Trains with Semantic Diagnostics Rules.
ILP
Evgeny Kharlamov, Ognjen Savkovic, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Mikhail Roshchin, Ian Horrocks, Thomas A. Runkler
2018 — conf
Explanation of Action Plans Through Ontologies.
OTM Conferences (2)
Ivan Gocev, Stephan Grimm, Thomas A. Runkler
2018 J jnl
Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming.
CoRR
Daniel Hein, Steffen Udluft, Thomas A. Runkler
2018 — conf
Generating interpretable fuzzy controllers using particle swarm optimization and genetic programming.
GECCO (Companion)
Daniel Hein, Steffen Udluft, Thomas A. Runkler
2018 J jnl
Interpretable policies for reinforcement learning by genetic programming.
Eng. Appl. Artif. Intell.
Daniel Hein, Steffen Udluft, Thomas A. Runkler
2018 — conf
Mapping Utilities to Transitive Preferences.
IPMU (1)
Thomas A. Runkler
2018 J jnl
Multimodal Deep Gaussian Processes.
CoRR
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2018 J jnl
Neural Relation Extraction Within and Across Sentence Boundaries.
CoRR
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy, Thomas A. Runkler
2018 B conf
Sensitivity analysis for predictive uncertainty.
ESANN
Stefan Depeweg, José Miguel Hernández-Lobato, Steffen Udluft, Thomas A. Runkler
2018 B conf
Sequential Possibilistic One-Means Clustering with Dynamic Eta.
FUZZ-IEEE
Wenlong Wu, James M. Keller, Thomas A. Runkler
2018 J jnl
Type reduction operators for interval type-2 defuzzification.
Inf. Sci.
Thomas A. Runkler, Chao Chen, Robert I. John
2017 J jnl
A Benchmark Environment Motivated by Industrial Control Problems.
CoRR
Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
2017 — conf
A benchmark environment motivated by industrial control problems.
SSCI
Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
2017 J jnl
Batch Reinforcement Learning on the Industrial Benchmark: First Experiences.
CoRR
Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
2017 B conf
Batch reinforcement learning on the industrial benchmark: First experiences.
IJCNN
Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
2017 J jnl
Bayesian Alignments of Warped Multi-Output Gaussian Processes.
CoRR
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2017 J jnl
Interpretable Policies for Reinforcement Learning by Genetic Programming.
CoRR
Daniel Hein, Steffen Udluft, Thomas A. Runkler
2017 J jnl
Interval type-2 fuzzy decision making.
Int. J. Approx. Reason.
Thomas A. Runkler, Simon Coupland, Robert I. John
2017 C conf
Ontology-based integration of performance related data and models: An application to industrial turbine analytics.
INDIN
Gulnar Mehdi, Thomas A. Runkler, Mikhail Roshchin, Sindhu Suresh, Nguyen Quang
2017 J jnl
Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies.
Eng. Appl. Artif. Intell.
Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft
2017 A conf
SemDia: Semantic Rule-Based Equipment Diagnostics Tool.
CIKM
Gulnar Mehdi, Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Elem Güzel Kalayci, Sebastian Brandt, Ian Horrocks, Mikhail Roshchin, Thomas A. Runkler
2017 — conf
Semantic Rule-Based Equipment Diagnostic.
ISWC (Posters, Demos & Industry Tracks)
Gulnar Mehdi, Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Elem Guzel Kalayci, Sebastian Brandt, Ian Horrocks, Mikhail Roshchin, Thomas A. Runkler
2017 — conf
Semantic Rule-Based Equipment Diagnostics.
ISWC (2)
Gulnar Mehdi, Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Elem Güzel Kalayci, Sebastian Brandt, Ian Horrocks, Mikhail Roshchin, Thomas A. Runkler
2017 B conf
Sequential possibilistic one-means clustering.
FUZZ-IEEE
Thomas A. Runkler, James M. Keller
2016 — conf
Constructing Preference Relations from Utilities and Vice Versa.
IPMU (2)
Thomas A. Runkler
2016 — book
Data Analytics - Models and Algorithms for Intelligent Data Analysis, Second Edition
Thomas A. Runkler
2016 B conf
Generation of linguistic membership functions from word vectors.
FUZZ-IEEE
Thomas A. Runkler
2016 J jnl
Particle Swarm Optimization for Generating Fuzzy Reinforcement Learning Policies.
CoRR
Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft
2016 J jnl
Reinforcement Learning with Particle Swarm Optimization Policy (PSO-P) in Continuous State and Action Spaces.
Int. J. Swarm Intell. Res.
Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft
2016 A* conf
Semantic Framework for Industrial Analytics and Diagnostics.
IJCAI
Gulnar Mehdi, Sebastian Brandt, Mikhail Roshchin, Thomas A. Runkler
2016 J jnl
The Generalized C Index for Internal Fuzzy Cluster Validity.
IEEE Trans. Fuzzy Syst.
James C. Bezdek, Masud Moshtaghi, Thomas A. Runkler, Christopher Leckie
2016 — conf
Towards Semantic Reasoning in Knowledge Management Systems.
AI4KM@IJCAI
Gulnar Mehdi, Sebastian Brandt, Mikhail Roshchin, Thomas A. Runkler
2016 — conf
Vorwort.
MKWI
Thomas Setzer, Stefan Nickel, Christof Weinhardt, Ralph Grothmann, Thomas A. Runkler, Ralf Gitzel, Hansjörg Fromm
2015 J jnl
Exploiting similarity in system identification tasks with recurrent neural networks.
Neurocomputing
Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler
2015 — conf
Fuzzy Graph Clustering based on Non-Euclidean Relational Fuzzy c-Means.
IFSA-EUSFLAT
Thomas A. Runkler, Vikram Ravindra
2015 — conf
Model-based Performance Evaluation of Large-Scale Smart Metering Architectures.
LT@ICPE
Johannes Kroß, Andreas Brunnert, Christian Prehofer, Thomas A. Runkler, Helmut Krcmar
2015 B conf
Properties of interval type-2 defuzzification operators.
FUZZ-IEEE
Thomas A. Runkler, Simon Coupland, Robert Ivor John
2015 — conf
Stream Processing on Demand for Lambda Architectures.
EPEW
Johannes Kroß, Andreas Brunnert, Christian Prehofer, Thomas A. Runkler, Helmut Krcmar
2014 B conf
Exploiting similarity in system identification tasks with recurrent neural networks.
ESANN
Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler
2014 B conf
Multidimensional scaling with multiswarming.
IEEE Congress on Evolutionary Computation
Thomas A. Runkler, James C. Bezdek
2014 — conf
Ontology-Based Translation of Natural Language Queries to SPARQL.
AAAI Fall Symposia
Malte Sander, Ulli Waltinger, Mikhail Roshchin, Thomas A. Runkler
2014 C conf
Regularized Recurrent Neural Networks for Data Efficient Dual-Task Learning.
ICANN
Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Thomas A. Runkler
2014 — conf
Vorwort.
MKWI
Thomas Setzer, Stefan Nickel, Ralf Gitzel, Thomas A. Runkler, Christof Weinhardt
2013 — conf
A CEP Technology Stack for Situation Recognition on the Gumstix Embedded Controller.
GI-Jahrestagung
Stephan Grimm, Thomas Hubauer, Thomas A. Runkler, Carlos Pachajoa, Felix Rempe, Marco Seravalli, Philipp Neumann
2013 — ch.
Insect Swarm Algorithms for Dynamic MAX-SAT Problems.
Metaheuristics for Dynamic Optimization
Pedro C. Pinto, Thomas A. Runkler, João M. C. Sousa
2013 B conf
Topology Preserving Feature Extraction with Multiswarm Optimization.
SMC
Thomas A. Runkler, James C. Bezdek
2012 J jnl
Datenbasierte Optimalsteuerung mit neuronalen Netzen und dateneffizientem Reinforcement Learning.
Autom.
Thomas A. Runkler, Steffen Udluft, Siegmund Düll
2012 B conf
Fuzzy approaches to hard c-means clustering.
FUZZ-IEEE
Thomas A. Runkler, James M. Keller
2012 J jnl
Learning and Self-organization for Spatiotemporal Systems.
Künstliche Intell.
Thomas A. Runkler, Rudolf Sollacher, Andrei Szabo
2012 — conf
Merging Partitions Using Similarities of Anchor Subsets.
SMPS
Thomas A. Runkler
2012 J jnl
Recurrent Neural Networks for Industrial Procurement Decisions.
Künstliche Intell.
Hans-Georg Zimmermann, Christoph Tietz, Ralph Grothmann, Thomas A. Runkler
2012 B conf
Support vector machines for program analysis.
IJCNN
Andrea Flexeder, Matthias Putz, Thomas A. Runkler
2011 C conf
Partially supervised k-harmonic means clustering.
CIDM
Thomas A. Runkler
2010 B conf
A new approach to clustering using eigen decomposition.
FUZZ-IEEE
Thomas A. Runkler, Florian Steinke
2010 C conf
Comparing Partitions by Subset Similarities.
IPMU
Thomas A. Runkler
2010 J jnl
Optimierung industrieller Logistikprozesse mit Verfahren der Schwarmintelligenz und rekurrenten neuronalen Netzen.
Künstliche Intell.
Thomas A. Runkler, Ralph Grothmann, Joachim Bamberger
2010 J jnl
Two cooperative ant colonies for feature selection using fuzzy models.
Expert Syst. Appl.
Susana M. Vieira, João Miguel da Costa Sousa, Thomas A. Runkler
2009 J jnl
Distributed supply chain management using ant colony optimization.
Eur. J. Oper. Res.
Carlos A. Silva, João Miguel da Costa Sousa, Thomas A. Runkler, José M. G. Sá da Costa
2009 B conf
Forecasting of clustered time series with recurrent neural networks and a fuzzy clustering scheme.
IJCNN
Hans Georg Seedig, Ralph Grothmann, Thomas A. Runkler
2009 — conf
Fuzzy c-Means Herding.
IFSA/EUSFLAT Conf.
Thomas A. Runkler
2009 J jnl
Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning.
IEEE Trans. Evol. Comput.
Pedro C. Pinto, Andreas Nägele, Mathäus Dejori, Thomas A. Runkler, João Miguel da Costa Sousa
2008 B conf
Fuzzy c-auto regression models.
FUZZ-IEEE
Thomas A. Runkler, Hans Georg Seedig
2008 B conf
Fuzzy classification in ant feature selection.
FUZZ-IEEE
Susana M. Vieira, João Miguel da Costa Sousa, Thomas A. Runkler
2008 B conf
Learning of Bayesian networks by a local discovery ant colony algorithm.
IEEE Congress on Evolutionary Computation
Pedro C. Pinto, Andreas Nägele, Mathäus Dejori, Thomas A. Runkler, João Miguel da Costa Sousa
2008 J jnl
Optimal attractors and Switched Kanban Control in Discrete Strange Billiards.
Int. J. Bifurc. Chaos
Thomas A. Runkler
2008 J jnl
Rescheduling and optimization of logistic processes using GA and ACO.
Eng. Appl. Artif. Intell.
Carlos A. Silva, João Miguel da Costa Sousa, Thomas A. Runkler
2008 J jnl
Wasp swarm optimization of the c-means clustering model.
Int. J. Intell. Syst.
Thomas A. Runkler
2007 — conf
Ant Colony Optimization Applied to Feature Selection in Fuzzy Classifiers.
IFSA (1)
Susana M. Vieira, João Miguel da Costa Sousa, Thomas A. Runkler
2007 — ch.
Ant Colony Optimization and its Application to Regular and Dynamic MAX-SAT Problems.
Advances in Biologically Inspired Information Systems
Pedro C. Pinto, Thomas A. Runkler, João Miguel da Costa Sousa
2007 — conf
Online Optimization of a Color Sorting Assembly Buffer Using Ant Colony Optimization.
OR
Stephan A. Hartmann, Thomas A. Runkler
2007 J jnl
Optimization of logistic systems using fuzzy weighted aggregation.
Fuzzy Sets Syst.
Carlos A. Silva, João Miguel da Costa Sousa, Thomas A. Runkler
2007 B conf
Pareto Optimality of Cluster Objective and Validity Functions.
FUZZ-IEEE
Thomas A. Runkler
2007 — conf
Wasp Swarm Algorithm for Dynamic MAX-SAT Problems.
ICANNGA (1)
Pedro C. Pinto, Thomas A. Runkler, João Miguel da Costa Sousa
2006 — conf
An ant algorithm for static and dynamic MAX-SAT problems.
BIONETICS
Pedro C. Pinto, Thomas A. Runkler, João M. C. Sousa
2006 J jnl
Distributed optimisation of a logistic system and its suppliers using ant colonies.
Int. J. Syst. Sci.
Carlos A. Silva, João Miguel da Costa Sousa, Thomas A. Runkler, José M. G. Sá da Costa
2006 B conf
Fuzzy Clustering by Particle Swarm Optimization.
FUZZ-IEEE
Thomas A. Runkler, Christina Katz
2005 J jnl
Ant colony optimization of clustering models.
Int. J. Intell. Syst.
Thomas A. Runkler
2005 B conf
Data Mining.
FUZZ-IEEE
Thomas A. Runkler
2005 B conf
Relational Gustafson Kessel Clustering Using Medoids and Triangulation.
FUZZ-IEEE
Thomas A. Runkler
2005 J jnl
Soft computing optimization methods applied to logistic processes.
Int. J. Approx. Reason.
Carlos A. Silva, João Miguel da Costa Sousa, Thomas A. Runkler, Rainer Palm
2004 — conf
A multi-agent approach for supply chain management using ant colony optimization.
SMC (2)
Carlos A. Silva, João Miguel da Costa Sousa, José M. G. Sá da Costa, Thomas A. Runkler
2004 — ed.
ARCS 2004 - Organic and Pervasive Computing, Workshops Proceedings, March 26, 2004, Augsburg, Germany
ARCS Workshops
Uwe Brinkschulte, Jürgen Becker, Dietmar Fey, Karl-Erwin Großpietsch, Christian Hochberger, Erik Maehle, Thomas A. Runkler
2004 — conf
Ant Colony Optimization for dynamic Traveling Salesman Problems.
ARCS Workshops
Carlos A. Silva, Thomas A. Runkler
2004 B conf
Fuzzy histograms and fuzzy chi-squared tests for independence.
FUZZ-IEEE
Thomas A. Runkler
2003 — conf
Evolved genetic algorithms with fuzzy aggregation applied to priorities in logistic systems.
ETFA (2)
Carlos A. Silva, João M. C. Sousa, Thomas A. Runkler, José M. G. Sá da Costa
2003 B conf
Fuzzy nonlinear projection.
FUZZ-IEEE
Thomas A. Runkler
2003 Misc conf
Optimization of Logistic Processes in Supply-Chains Using Meta-heuristics.
EPIA
Carlos A. Silva, Thomas A. Runkler, João Miguel da Costa Sousa, José M. G. Sá da Costa
2003 J jnl
Optimizing logistic processes using a fuzzy decision making approach.
IEEE Trans. Syst. Man Cybern. Part A
João Miguel da Costa Sousa, Rainer Palm, Carlos A. Silva, Thomas A. Runkler
2003 J jnl
Web mining with relational clustering.
Int. J. Approx. Reason.
Thomas A. Runkler, James C. Bezdek
2002 — conf
Ant Colonies as Logistic Processes Optimizers.
Ant Algorithms
Carlos A. Silva, Thomas A. Runkler, João Miguel da Costa Sousa, Rainer Palm
2002 J jnl
Classification and prediction of road traffic using application-specific fuzzy clustering.
IEEE Trans. Fuzzy Syst.
Christiane Stutz, Thomas A. Runkler
2002 B conf
Fuzzy optimization of logistic processes.
FUZZ-IEEE
J. M. Sousa, Rainer Palm, C. Silva, Thomas A. Runkler
2002 — conf
Should Tendency Assessment Precede Rule Extraction by Clustering? (No!).
Advances in Computational Intelligence and Learning
James C. Bezdek, Nikhil R. Pal, Thomas A. Runkler, Kuhu Pal
2001 C conf
Decentralized Control of Hybrid Systems.
ISADS
Rainer Palm, Thomas A. Runkler
2001 J jnl
Fuzzy Clustering for Data Compression, Modeling, and Optimization in Recovered Paper Industry.
Eur. J. Control
Thomas A. Runkler, Erwin Gerstorfer, Martin Schlang, Erwin Jünnemann, Klaus Villforth
2001 — conf
Intelligent control of the refining process for improved fiber quality.
ECC
Erwin Gerstorfer, Thomas A. Runkler, Martin Schlang, Erwin Jünnemann, Jürgen Hollatz
2001 J jnl
Prozessmodellierung und -optimierung mit Fuzzy-Clustering.
Künstliche Intell.
Thomas A. Runkler, Klaus Villforth, Erwin Jünnemann
2000 — conf
A control sequence generator for fuzzy gain schedulers.
CDC
Rainer Palm, Christiane Stutz, Thomas A. Runkler
2000 B conf
Automatic keyword extraction with relational clustering and Levenshtein distances.
FUZZ-IEEE
Thomas A. Runkler, James C. Bezdek
2000 — book
Information mining - Methoden, Algorithmen und Anwendungen intelligenter Datenanalyse.
Thomas A. Runkler
1999 J jnl
Alternating cluster estimation: a new tool for clustering and function approximation.
IEEE Trans. Fuzzy Syst.
Thomas A. Runkler, James C. Bezdek
1999 — conf
Data compression and soft sensors in the pulp and paper industry.
ECC
Thomas A. Runkler, Erwin Gerstorfer, Martin Schlang, Erwin Jiinnemann, Klaus Villforth
1999 J jnl
Function approximation with polynomial membership functions and alternating cluster estimation.
Fuzzy Sets Syst.
Thomas A. Runkler, James C. Bezdek
1999 — conf
Neural computation in steel industry.
ECC
Martin Schlang, Björn Feldkeller, Bernhard Lang, Thomas Poppe, Thomas A. Runkler
1999 — ch.
Probabilistische und Fuzzy Methoden für die Clusteranalyse.
Fuzzy Theorie und Stochastik
Thomas A. Runkler
1998 J jnl
Automatic generation of first order Takagi-Sugeno systems using fuzzy c-elliptotypes clustering.
J. Intell. Fuzzy Syst.
Thomas A. Runkler
1998 — conf
Compression of Industrial Process Data Using Fast Alternating Cluster Estimation (FACE).
Workshop Data Mining und Data Warehousing
Thomas A. Runkler, Jürgen Hollatz, Herbert Furumoto, Erwin Jünnemann, Klaus Villforth
1997 J jnl
Selection of appropriate defuzzification methods using application specific properties.
IEEE Trans. Fuzzy Syst.
Thomas A. Runkler
1997 — conf
Some issues in system identification using clustering.
ICNN
Nikhil R. Pal, Kuhu Pal, James C. Bezdek, Thomas A. Runkler
1996 — —
Automatische Selektion signifikanter scharfer Werte in unscharfen regelbasierten Systemen der Informations- und Automatisierungstechnik.
Thomas A. Runkler
1995 Misc conf
Multidimensional defuzzification - fast algorithms for the determination of crisp characteristic subsets.
SAC
Thomas A. Runkler, Manfred Glesner
1994 Misc conf
DECADE - fast centroid approximation defuzzification for real time fuzzy control applications.
SAC
Thomas A. Runkler, Manfred Glesner
1993 — conf
Approximative Synthese von Fuzzy - Controllern.
Fuzzy Days
Thomas A. Runkler, Manfred Glesner