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ORCIDThomas A. Runkler
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- affiliation: Technical University Munich, Germany
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2020 – today
- 2024
[j40]Thomas A. Runkler:
Einstein consistency of fuzzy preference relations. J. Intell. Fuzzy Syst. 46(3): 6565-6576 (2024)- [j39]Dickson Odhiambo Owuor
, Thomas A. Runkler, Anne Laurent, Lesley Bonyo:
Clustering-based gradual pattern mining. Int. J. Mach. Learn. Cybern. 15(6): 2263-2281 (2024) - [j38]Haoyu Ren, Darko Anicic, Xue Li, Thomas A. Runkler:
On-device Online Learning and Semantic Management of TinyML Systems. ACM Trans. Embed. Comput. Syst. 23(4): 55:1-55:32 (2024) - [c106]Cuong Nhat Ha, Shima Asaadi, Sanjeev Kumar Karn, Oladimeji Farri, Tobias Heimann, Thomas A. Runkler:
Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering. ClinicalNLP@NAACL 2024: 246-257 - [c105]Yongjian Tang, Rakebul Hasan, Thomas A. Runkler:
FsPONER: Few-Shot Prompt Optimization for Named Entity Recognition in Domain-Specific Scenarios. ECAI 2024: 3757-3764 - [i42]Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp:
Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition. CoRR abs/2403.04577 (2024) - [i41]Simon Eisenmann, Daniel Hein, Steffen Udluft, Thomas A. Runkler:
Model-based Offline Quantum Reinforcement Learning. CoRR abs/2404.10017 (2024) - [i40]Cuong Nhat Ha, Shima Asaadi, Sanjeev Kumar Karn, Oladimeji Farri, Tobias Heimann, Thomas A. Runkler:
Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering. CoRR abs/2404.16192 (2024) - [i39]Haoyu Ren, Xue Li, Darko Anicic, Thomas A. Runkler:
On-device Online Learning and Semantic Management of TinyML Systems. CoRR abs/2405.07601 (2024) - [i38]Yongjian Tang, Rakebul Hasan, Thomas A. Runkler:
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios. CoRR abs/2407.08035 (2024) - 2023
- [c104]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Automatic Trade-off Adaptation in Offline RL. ESANN 2023 - [c103]Thomas A. Runkler:
A Convergence Study of the Possibilistic One Means Algorithm. FUZZ 2023: 1-6 - [c102]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
User-Interactive Offline Reinforcement Learning. ICLR 2023 - [c101]Haoyu Ren, Darko Anicic, Thomas A. Runkler:
TinyReptile: TinyML with Federated Meta-Learning. IJCNN 2023: 1-9 - [p4]Anna Himmelhuber, Stephan Grimm, Mitchell Joblin, Sonja Zillner, Thomas A. Runkler:
Combining Sub-Symbolic and Symbolic Methods for Explainability. Compendium of Neurosymbolic Artificial Intelligence 2023: 559-576 - [i37]Haoyu Ren, Darko Anicic, Thomas A. Runkler:
TinyReptile: TinyML with Federated Meta-Learning. CoRR abs/2304.05201 (2023) - [i36]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Automatic Trade-off Adaptation in Offline RL. CoRR abs/2306.09744 (2023) - [i35]Haoyu Ren, Xue Li, Darko Anicic, Thomas A. Runkler:
TinyMetaFed: Efficient Federated Meta-Learning for TinyML. CoRR abs/2307.06822 (2023) - 2022
- [j37]Thomas A. Runkler:
PIU: risk-sensitive decision making using Pareto optimization of interval utilities induced by fuzzy preference relations. Soft Comput. 26(1): 1-11 (2022) - [j36]Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent:
A metaheuristic approach for mining gradual patterns. Swarm Evol. Comput. 75: 101205 (2022) - [j35]Haoyu Ren, Darko Anicic, Thomas A. Runkler:
Towards Semantic Management of On-Device Applications in Industrial IoT. ACM Trans. Internet Techn. 22(4): 102:1-102:30 (2022) - [c100]Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. ACML 2022: 327-342 - [c99]Thomas A. Runkler:
Pareto Interval Type-2 Fuzzy Decision Making for Labeled Objects. FUZZ-IEEE 2022: 1-6 - [c98]Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler:
Neuro-symbolic computing with spiking neural networks. ICONS 2022: 30:1-30:4 - [c97]Haoyu Ren, Kirill Dorofeev, Darko Anicic, Youssef Hammad, Roland Eckl, Thomas A. Runkler:
SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT. ISWC 2022: 845-862 - [c96]Anna Himmelhuber, Dominik Dold, Stephan Grimm, Sonja Zillner, Thomas A. Runkler:
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods. SSCI 2022: 381-388 - [i34]Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler:
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning. CoRR abs/2201.05433 (2022) - [i33]Haoyu Ren, Darko Anicic, Thomas A. Runkler:
How to Manage Tiny Machine Learning at Scale: An Industrial Perspective. CoRR abs/2202.09113 (2022) - [i32]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
User-Interactive Offline Reinforcement Learning. CoRR abs/2205.10629 (2022) - [i31]Haoyu Ren, Kirill Dorofeev, Darko Anicic, Youssef Hammad, Roland Eckl, Thomas A. Runkler:
SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT. CoRR abs/2207.08818 (2022) - [i30]Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler:
Neuro-symbolic computing with spiking neural networks. CoRR abs/2208.02576 (2022) - [i29]Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent, Joseph Orero, Edmond Odhiambo Menya:
Ant Colony Optimization for Mining Gradual Patterns. CoRR abs/2208.14795 (2022) - [i28]Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent:
A Metaheuristic Approach for Mining Gradual Patterns. CoRR abs/2211.07940 (2022) - [i27]Anna Himmelhuber, Dominik Dold, Stephan Grimm, Sonja Zillner, Thomas A. Runkler:
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods. CoRR abs/2212.13991 (2022) - 2021
- [j34]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Overcoming model bias for robust offline deep reinforcement learning. Eng. Appl. Artif. Intell. 104: 104366 (2021) - [j33]Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent, Joseph Onderi Orero, Edmond Odhiambo Menya:
Ant colony optimization for mining gradual patterns. Int. J. Mach. Learn. Cybern. 12(10): 2989-3009 (2021) - [c95]Haoyu Ren, Darko Anicic, Thomas A. Runkler:
The synergy of complex event processing and tiny machine learning in industrial IoT. DEBS 2021: 126-135 - [c94]Hiba Arnout, Johanna Bronner, Thomas A. Runkler:
Differentially Private Time Series Generation. ESANN 2021 - [c93]Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler:
Behavior Constraining in Weight Space for Offline Reinforcement Learning. ESANN 2021 - [c92]Hiba Arnout, Johanna Bronner, Thomas A. Runkler:
Evaluation of Generative Adversarial Networks for Time Series Data. IJCNN 2021: 1-7 - [c91]Haoyu Ren, Darko Anicic, Thomas A. Runkler:
TinyOL: TinyML with Online-Learning on Microcontrollers. IJCNN 2021: 1-8 - [c90]Anna Himmelhuber, Sonja Zillner, Stephan Grimm, Martin Ringsquandl, Mitchell Joblin, Thomas A. Runkler:
A New Concept for Explaining Graph Neural Networks. NeSy 2021: 1-5 - [c89]Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Demystifying Graph Neural Network Explanations. PKDD/ECML Workshops (1) 2021: 67-75 - [c88]Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Combining Sub-symbolic and Symbolic Methods for Explainability. RuleML+RR 2021: 172-187 - [c87]Hiba Arnout, Johanna Bronner, Johannes Kehrer, Thomas A. Runkler:
Translation of Time Series Data from Controlled DC Motors using Disentangled Representation Learning. SSCI 2021: 1-8 - [c86]Hiba Arnout, Johanna Bronner, Thomas A. Runkler:
ClaRe-GAN: Generation of Class-Specific Time Series. SSCI 2021: 1-8 - [c85]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. SSCI 2021: 1-8 - [i26]Haoyu Ren, Darko Anicic, Thomas A. Runkler:
TinyOL: TinyML with Online-Learning on Microcontrollers. CoRR abs/2103.08295 (2021) - [i25]Haoyu Ren, Darko Anicic, Thomas A. Runkler:
The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT. CoRR abs/2105.03371 (2021) - [i24]Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler:
Behavior Constraining in Weight Space for Offline Reinforcement Learning. CoRR abs/2107.05479 (2021) - [i23]Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler, Dominik Dold:
Learning through structure: towards deep neuromorphic knowledge graph embeddings. CoRR abs/2109.10376 (2021) - [i22]Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. CoRR abs/2110.04545 (2021) - [i21]Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Demystifying Graph Neural Network Explanations. CoRR abs/2111.12984 (2021) - [i20]Anna Himmelhuber, Stephan Grimm, Thomas A. Runkler, Sonja Zillner:
Ontology-Based Skill Description Learning for Flexible Production Systems. CoRR abs/2111.13142 (2021) - [i19]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. CoRR abs/2111.13461 (2021) - [i18]Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Combining Sub-Symbolic and Symbolic Methods for Explainability. CoRR abs/2112.01844 (2021) - 2020
- [j32]Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
Bayesian decomposition of multi-modal dynamical systems for reinforcement learning. Neurocomputing 416: 352-359 (2020) - [j31]Thomas A. Runkler:
PrefMap: Visualization of fuzzy pairwise preference structures. J. Intell. Fuzzy Syst. 39(3): 4027-4040 (2020) - [c84]Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze:
TopicBERT for Energy Efficient Document Classification. EMNLP (Findings) 2020: 1682-1690 - [c83]Anna Himmelhuber, Stephan Grimm, Thomas A. Runkler, Sonja Zillner:
Ontology-Based Skill Description Learning for Flexible Production Systems. ETFA 2020: 975-981 - [c82]Thomas A. Runkler, Chao Chen, Simon Coupland, Robert I. John:
Comparing Intervals Using Type Reduction. FUZZ-IEEE 2020: 1-6 - [c81]Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze:
Neural Topic Modeling with Continual Lifelong Learning. ICML 2020: 3907-3917 - [c80]Ivan Gocev, Stephan Grimm, Thomas A. Runkler:
Supporting Skill-based Flexible Manufacturing with Symbolic AI Methods. IECON 2020: 769-774 - [c79]Hiba Arnout, Johanna Bronner, Johannes Kehrer, Thomas A. Runkler:
DR-TiST: Disentangled Representation for Time Series Translation Across Application Domains. IJCNN 2020: 1-8 - [c78]Thomas A. Runkler:
Generalized Weak Transitivity of Preference. IPMU (1) 2020: 119-128 - [i17]Hiba Arnout, Johannes Kehrer, Johanna Bronner, Thomas A. Runkler:
Visual Evaluation of Generative Adversarial Networks for Time Series Data. CoRR abs/2001.00062 (2020) - [i16]Manuel A. Roehrl, Thomas A. Runkler, Veronika Brandtstetter, Michel Tokic, Stefan Obermayer:
Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics. CoRR abs/2005.14617 (2020) - [i15]Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze:
Neural Topic Modeling with Continual Lifelong Learning. CoRR abs/2006.10909 (2020) - [i14]Daniel Hein, Steffen Limmer, Thomas A. Runkler:
Interpretable Control by Reinforcement Learning. CoRR abs/2007.09964 (2020) - [i13]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning. CoRR abs/2008.05533 (2020) - [i12]Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze:
TopicBERT for Energy Efficient Document Classification. CoRR abs/2010.16407 (2020)
2010 – 2019
- 2019
- [c77]Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Thomas A. Runkler:
Neural Relation Extraction within and across Sentence Boundaries. AAAI 2019: 6513-6520 - [c76]Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
interpretable dynamics models for data-efficient reinforcement learning. ESANN 2019 - [c75]Thomas A. Runkler, James C. Bezdek:
Optimizing the C Index Using a Canonical Genetic Algorithm. EvoApplications 2019: 287-298 - [c74]Thomas A. Runkler, Chao Chen, Simon Coupland, Robert I. John:
Just-In-Time Supply Chain Management Using Interval Type-2 Fuzzy Decision Making. FUZZ-IEEE 2019: 1-6 - [c73]Daniel Hein, Steffen Udluft, Thomas A. Runkler:
Generating interpretable reinforcement learning policies using genetic programming. GECCO (Companion) 2019: 23-24 - [c72]Thomas A. Runkler:
Canonical Fuzzy Preference Relations. IFSA/NAFIPS 2019: 542-555 - [c71]Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
Data Association with Gaussian Processes. ECML/PKDD (2) 2019: 548-564 - [i11]Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning. CoRR abs/1907.04902 (2019) - [i10]Pankaj Gupta, Khushbu Saxena, Usama Yaseen, Thomas A. Runkler, Hinrich Schütze:
Neural Architectures for Fine-Grained Propaganda Detection in News. CoRR abs/1909.06162 (2019) - [i9]Yatin Chaudhary, Pankaj Gupta, Thomas A. Runkler:
Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers. CoRR abs/1909.13315 (2019) - 2018
- [j30]Daniel Hein, Steffen Udluft, Thomas A. Runkler:
Interpretable policies for reinforcement learning by genetic programming. Eng. Appl. Artif. Intell. 76: 158-169 (2018) - [j29]Thomas A. Runkler, Chao Chen, Robert I. John:
Type reduction operators for interval type-2 defuzzification. Inf. Sci. 467: 464-476 (2018) - [c70]Stefan Depeweg, José Miguel Hernández-Lobato, Steffen Udluft, Thomas A. Runkler:
Sensitivity analysis for predictive uncertainty. ESANN 2018 - [c69]Wenlong Wu, James M. Keller, Thomas A. Runkler:
Sequential Possibilistic One-Means Clustering with Dynamic Eta. FUZZ-IEEE 2018: 1-8 - [c68]Daniel Hein, Steffen Udluft, Thomas A. Runkler:
Generating interpretable fuzzy controllers using particle swarm optimization and genetic programming. GECCO (Companion) 2018: 1268-1275 - [c67]Evgeny Kharlamov, Ognjen Savkovic, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Mikhail Roshchin, Ian Horrocks, Thomas A. Runkler:
Diagnostics of Trains with Semantic Diagnostics Rules. ILP 2018: 54-71 - [c66]Thomas A. Runkler:
Mapping Utilities to Transitive Preferences. IPMU (1) 2018: 127-139 - [c65]Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
Bayesian Alignments of Warped Multi-Output Gaussian Processes. NeurIPS 2018: 6995-7004 - [c64]Ivan Gocev, Stephan Grimm, Thomas A. Runkler:
Explanation of Action Plans Through Ontologies. OTM Conferences (2) 2018: 386-403 - [c63]Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler:
Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems. ECML/PKDD (3) 2018: 271-287 - [i8]Daniel Hein, Steffen Udluft, Thomas A. Runkler:
Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming. CoRR abs/1804.10960 (2018) - [i7]Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy, Thomas A. Runkler:
Neural Relation Extraction Within and Across Sentence Boundaries. CoRR abs/1810.05102 (2018) - [i6]Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
Multimodal Deep Gaussian Processes. CoRR abs/1810.07158 (2018) - 2017
- [j28]Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft:
Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies. Eng. Appl. Artif. Intell. 65: 87-98 (2017) - [j27]Thomas A. Runkler, Simon Coupland, Robert I. John:
Interval type-2 fuzzy decision making. Int. J. Approx. Reason. 80: 217-224 (2017) - [c62]Gulnar Mehdi, Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Elem Güzel Kalayci, Sebastian Brandt, Ian Horrocks, Mikhail Roshchin, Thomas A. Runkler:
SemDia: Semantic Rule-Based Equipment Diagnostics Tool. CIKM 2017: 2507-2510 - [c61]Thomas A. Runkler, James M. Keller:
Sequential possibilistic one-means clustering. FUZZ-IEEE 2017: 1-6 - [c60]Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
Batch reinforcement learning on the industrial benchmark: First experiences. IJCNN 2017: 4214-4221 - [c59]Gulnar Mehdi, Thomas A. Runkler, Mikhail Roshchin, Sindhu Suresh, Nguyen Quang:
Ontology-based integration of performance related data and models: An application to industrial turbine analytics. INDIN 2017: 251-256 - [c58]Gulnar Mehdi, Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Elem Güzel Kalayci, Sebastian Brandt, Ian Horrocks, Mikhail Roshchin, Thomas A. Runkler:
Semantic Rule-Based Equipment Diagnostics. ISWC (2) 2017: 314-333 - [c57]Gulnar Mehdi, Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Elem Guzel Kalayci, Sebastian Brandt, Ian Horrocks, Mikhail Roshchin, Thomas A. Runkler:
Semantic Rule-Based Equipment Diagnostic. ISWC (Posters, Demos & Industry Tracks) 2017 - [c56]Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
A benchmark environment motivated by industrial control problems. SSCI 2017: 1-8 - [i5]Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
Batch Reinforcement Learning on the Industrial Benchmark: First Experiences. CoRR abs/1705.07262 (2017) - [i4]Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
A Benchmark Environment Motivated by Industrial Control Problems. CoRR abs/1709.09480 (2017) - [i3]Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
Bayesian Alignments of Warped Multi-Output Gaussian Processes. CoRR abs/1710.02766 (2017) - [i2]Daniel Hein, Steffen Udluft, Thomas A. Runkler:
Interpretable Policies for Reinforcement Learning by Genetic Programming. CoRR abs/1712.04170 (2017) - 2016
- [b3]Thomas A. Runkler:
Data Analytics - Models and Algorithms for Intelligent Data Analysis, Second Edition. Springer 2016, ISBN 978-3-658-14074-8, pp. 1-150 - [j26]Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft:
Reinforcement Learning with Particle Swarm Optimization Policy (PSO-P) in Continuous State and Action Spaces. Int. J. Swarm Intell. Res. 7(3): 23-42 (2016) - [j25]James C. Bezdek, Masud Moshtaghi, Thomas A. Runkler, Christopher Leckie:
The Generalized C Index for Internal Fuzzy Cluster Validity. IEEE Trans. Fuzzy Syst. 24(6): 1500-1512 (2016) - [c55]Thomas A. Runkler:
Generation of linguistic membership functions from word vectors. FUZZ-IEEE 2016: 993-999 - [c54]Gulnar Mehdi, Sebastian Brandt, Mikhail Roshchin, Thomas A. Runkler:
Towards Semantic Reasoning in Knowledge Management Systems. AI4KM@IJCAI 2016: 132-146 - [c53]Gulnar Mehdi, Sebastian Brandt, Mikhail Roshchin, Thomas A. Runkler:
Semantic Framework for Industrial Analytics and Diagnostics. IJCAI 2016: 4016-4017 - [c52]Thomas A. Runkler:
Constructing Preference Relations from Utilities and Vice Versa. IPMU (2) 2016: 547-558 - [c51]Thomas Setzer, Stefan Nickel, Christof Weinhardt, Ralph Grothmann, Thomas A. Runkler, Ralf Gitzel, Hansjörg Fromm:
Vorwort. MKWI 2016: 1191 - [i1]Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft:
Particle Swarm Optimization for Generating Fuzzy Reinforcement Learning Policies. CoRR abs/1610.05984 (2016) - 2015
- [j24]Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler:
Exploiting similarity in system identification tasks with recurrent neural networks. Neurocomputing 169: 343-349 (2015) - [c50]Johannes Kroß, Andreas Brunnert, Christian Prehofer, Thomas A. Runkler, Helmut Krcmar:
Stream Processing on Demand for Lambda Architectures. EPEW 2015: 243-257 - [c49]Thomas A. Runkler, Vikram Ravindra:
Fuzzy Graph Clustering based on Non-Euclidean Relational Fuzzy c-Means. IFSA-EUSFLAT 2015 - [c48]Thomas A. Runkler, Simon Coupland, Robert Ivor John:
Properties of interval type-2 defuzzification operators. FUZZ-IEEE 2015: 1-7 - [c47]Johannes Kroß, Andreas Brunnert, Christian Prehofer, Thomas A. Runkler, Helmut Krcmar:
Model-based Performance Evaluation of Large-Scale Smart Metering Architectures. LT@ICPE 2015: 9-12 - 2014
- [c46]Malte Sander, Ulli Waltinger, Mikhail Roshchin, Thomas A. Runkler:
Ontology-Based Translation of Natural Language Queries to SPARQL. AAAI Fall Symposia 2014 - [c45]Thomas A. Runkler, James C. Bezdek:
Multidimensional scaling with multiswarming. IEEE Congress on Evolutionary Computation 2014: 2940-2946 - [c44]Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler:
Exploiting similarity in system identification tasks with recurrent neural networks. ESANN 2014 - [c43]Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Thomas A. Runkler:
Regularized Recurrent Neural Networks for Data Efficient Dual-Task Learning. ICANN 2014: 17-24 - [c42]Thomas Setzer, Stefan Nickel, Ralf Gitzel, Thomas A. Runkler, Christof Weinhardt:
Vorwort. MKWI 2014: 1992 - 2013
- [c41]Stephan Grimm, Thomas Hubauer, Thomas A. Runkler, Carlos Pachajoa, Felix Rempe, Marco Seravalli, Philipp Neumann:
A CEP Technology Stack for Situation Recognition on the Gumstix Embedded Controller. GI-Jahrestagung 2013: 1925-1930 - [c40]Thomas A. Runkler, James C. Bezdek:
Topology Preserving Feature Extraction with Multiswarm Optimization. SMC 2013: 2997-3002 - [p3]Pedro C. Pinto, Thomas A. Runkler, João M. C. Sousa:
Insect Swarm Algorithms for Dynamic MAX-SAT Problems. Metaheuristics for Dynamic Optimization 2013: 341-369 - 2012
- [j23]Thomas A. Runkler, Steffen Udluft, Siegmund Düll:
Datenbasierte Optimalsteuerung mit neuronalen Netzen und dateneffizientem Reinforcement Learning. Autom. 60(10): 641-647 (2012) - [j22]Thomas A. Runkler, Rudolf Sollacher, Andrei Szabo:
Learning and Self-organization for Spatiotemporal Systems. Künstliche Intell. 26(3): 269-274 (2012) - [j21]Hans-Georg Zimmermann, Christoph Tietz, Ralph Grothmann, Thomas A. Runkler:
Recurrent Neural Networks for Industrial Procurement Decisions. Künstliche Intell. 26(4): 403-406 (2012) - [c39]Thomas A. Runkler, James M. Keller:
Fuzzy approaches to hard c-means clustering. FUZZ-IEEE 2012: 1-7 - [c38]Andrea Flexeder, Matthias Putz, Thomas A. Runkler:
Support vector machines for program analysis. IJCNN 2012: 1-8 - [c37]Thomas A. Runkler:
Merging Partitions Using Similarities of Anchor Subsets. SMPS 2012: 573-581 - 2011
- [c36]Thomas A. Runkler:
Partially supervised k-harmonic means clustering. CIDM 2011: 96-103 - 2010
- [j20]Susana M. Vieira, João Miguel da Costa Sousa, Thomas A. Runkler:
Two cooperative ant colonies for feature selection using fuzzy models. Expert Syst. Appl. 37(4): 2714-2723 (2010) - [j19]Thomas A. Runkler, Ralph Grothmann, Joachim Bamberger:
Optimierung industrieller Logistikprozesse mit Verfahren der Schwarmintelligenz und rekurrenten neuronalen Netzen. Künstliche Intell. 24(2): 149-152 (2010) - [c35]Thomas A. Runkler, Florian Steinke:
A new approach to clustering using eigen decomposition. FUZZ-IEEE 2010: 1-6 - [c34]Thomas A. Runkler:
Comparing Partitions by Subset Similarities. IPMU 2010: 29-38
2000 – 2009
- 2009
- [j18]Carlos A. Silva, João Miguel da Costa Sousa, Thomas A. Runkler, José M. G. Sá da Costa:
Distributed supply chain management using ant colony optimization. Eur. J. Oper. Res. 199(2): 349-358 (2009) - [j17]Pedro C. Pinto, Andreas Nägele, Mathäus Dejori, Thomas A. Runkler, João Miguel da Costa Sousa:
Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning. IEEE Trans. Evol. Comput. 13(4): 767-779 (2009) - [c33]Thomas A. Runkler:
Fuzzy c-Means Herding. IFSA/EUSFLAT Conf. 2009: 149-154 - [c32]Hans Georg Seedig, Ralph Grothmann, Thomas A. Runkler:
Forecasting of clustered time series with recurrent neural networks and a fuzzy clustering scheme. IJCNN 2009: 2846-2853 - 2008
- [j16]Carlos A. Silva, João Miguel da Costa Sousa, Thomas A. Runkler:
Rescheduling and optimization of logistic processes using GA and ACO. Eng. Appl. Artif. Intell. 21(3): 343-352 (2008) - [j15]Thomas A. Runkler:
Optimal attractors and Switched Kanban Control in Discrete Strange Billiards. Int. J. Bifurc. Chaos 18(8): 2437-2447 (2008) - [j14]Thomas A. Runkler:
Wasp swarm optimization of the c-means clustering model. Int. J. Intell. Syst. 23(3): 269-285 (2008) - [c31]Pedro C. Pinto, Andreas Nägele, Mathäus Dejori, Thomas A. Runkler, João Miguel da Costa Sousa:
Learning of Bayesian networks by a local discovery ant colony algorithm. IEEE Congress on Evolutionary Computation 2008: 2741-2748 - [c30]Susana M. Vieira, João Miguel da Costa Sousa, Thomas A. Runkler:
Fuzzy classification in ant feature selection. FUZZ-IEEE 2008: 1763-1769 - [c29]Thomas A. Runkler, Hans Georg Seedig:
Fuzzy c-auto regression models. FUZZ-IEEE 2008: 1818-1825 - 2007
- [j13]Carlos A. Silva, João Miguel da Costa Sousa, Thomas A. Runkler:
Optimization of logistic systems using fuzzy weighted aggregation. Fuzzy Sets Syst. 158(17): 1947-1960 (2007) - [c28]Thomas A. Runkler:
Pareto Optimality of Cluster Objective and Validity Functions. FUZZ-IEEE 2007: 1-6 - [c27]Pedro C. Pinto, Thomas A. Runkler, João Miguel da Costa Sousa:
Wasp Swarm Algorithm for Dynamic MAX-SAT Problems. ICANNGA (1) 2007: 350-357 - [c26]Susana M. Vieira, João Miguel da Costa Sousa, Thomas A. Runkler:
Ant Colony Optimization Applied to Feature Selection in Fuzzy Classifiers. IFSA (1) 2007: 778-788 - [c25]Stephan A. Hartmann, Thomas A. Runkler:
Online Optimization of a Color Sorting Assembly Buffer Using Ant Colony Optimization. OR 2007: 415-420 - [p2]Pedro C. Pinto, Thomas A. Runkler, João Miguel da Costa Sousa:
Ant Colony Optimization and its Application to Regular and Dynamic MAX-SAT Problems. Advances in Biologically Inspired Information Systems 2007: 283-302 - 2006
- [j12]Carlos A. Silva, João Miguel da Costa Sousa, Thomas A. Runkler, José M. G. Sá da Costa:
Distributed optimisation of a logistic system and its suppliers using ant colonies. Int. J. Syst. Sci. 37(8): 503-512 (2006) - [c24]Pedro C. Pinto, Thomas A. Runkler, João M. C. Sousa:
An ant algorithm for static and dynamic MAX-SAT problems. BIONETICS 2006: 10 - [c23]Thomas A. Runkler, Christina Katz:
Fuzzy Clustering by Particle Swarm Optimization. FUZZ-IEEE 2006: 601-608 - 2005
- [j11]Carlos A. Silva, João Miguel da Costa Sousa, Thomas A. Runkler, Rainer Palm:
Soft computing optimization methods applied to logistic processes. Int. J. Approx. Reason. 40(3): 280-301 (2005) - [j10]Thomas A. Runkler:
Ant colony optimization of clustering models. Int. J. Intell. Syst. 20(12): 1233-1251 (2005) - [c22]Thomas A. Runkler:
Data Mining. FUZZ-IEEE 2005: 1 - [c21]Thomas A. Runkler:
Relational Gustafson Kessel Clustering Using Medoids and Triangulation. FUZZ-IEEE 2005: 73-78 - 2004
- [c20]Carlos A. Silva, Thomas A. Runkler:
Ant Colony Optimization for dynamic Traveling Salesman Problems. ARCS Workshops 2004: 259-266 - [c19]Thomas A. Runkler:
Fuzzy histograms and fuzzy chi-squared tests for independence. FUZZ-IEEE 2004: 1361-1366 - [c18]Carlos A. Silva, João Miguel da Costa Sousa, José M. G. Sá da Costa, Thomas A. Runkler:
A multi-agent approach for supply chain management using ant colony optimization. SMC (2) 2004: 1938-1943 - [e1]Uwe Brinkschulte, Jürgen Becker, Dietmar Fey, Karl-Erwin Großpietsch, Christian Hochberger, Erik Maehle, Thomas A. Runkler:
ARCS 2004 - Organic and Pervasive Computing, Workshops Proceedings, March 26, 2004, Augsburg, Germany. LNI P-41, GI 2004, ISBN 3-88579-370-9 [contents] - 2003
- [j9]Thomas A. Runkler, James C. Bezdek:
Web mining with relational clustering. Int. J. Approx. Reason. 32(2-3): 217-236 (2003) - [j8]João Miguel da Costa Sousa, Rainer Palm, Carlos A. Silva, Thomas A. Runkler:
Optimizing logistic processes using a fuzzy decision making approach. IEEE Trans. Syst. Man Cybern. Part A 33(2): 245-256 (2003) - [c17]Carlos A. Silva, Thomas A. Runkler, João Miguel da Costa Sousa, José M. G. Sá da Costa:
Optimization of Logistic Processes in Supply-Chains Using Meta-heuristics. EPIA 2003: 9-23 - [c16]Carlos A. Silva, João M. C. Sousa, Thomas A. Runkler, José M. G. Sá da Costa:
Evolved genetic algorithms with fuzzy aggregation applied to priorities in logistic systems. ETFA (2) 2003: 775-781 - [c15]Thomas A. Runkler:
Fuzzy nonlinear projection. FUZZ-IEEE 2003: 863-868 - 2002
- [j7]Christiane Stutz, Thomas A. Runkler:
Classification and prediction of road traffic using application-specific fuzzy clustering. IEEE Trans. Fuzzy Syst. 10(3): 297-308 (2002) - [c14]James C. Bezdek, Nikhil R. Pal, Thomas A. Runkler, Kuhu Pal:
Should Tendency Assessment Precede Rule Extraction by Clustering? (No!). Advances in Computational Intelligence and Learning 2002: 17-41 - [c13]Carlos A. Silva, Thomas A. Runkler, João Miguel da Costa Sousa, Rainer Palm:
Ant Colonies as Logistic Processes Optimizers. Ant Algorithms 2002: 76-87 - [c12]J. M. Sousa, Rainer Palm, C. Silva, Thomas A. Runkler:
Fuzzy optimization of logistic processes. FUZZ-IEEE 2002: 1257-1262 - 2001
- [j6]Thomas A. Runkler, Erwin Gerstorfer, Martin Schlang, Erwin Jünnemann, Klaus Villforth:
Fuzzy Clustering for Data Compression, Modeling, and Optimization in Recovered Paper Industry. Eur. J. Control 7(1): 67-74 (2001) - [j5]Thomas A. Runkler, Klaus Villforth, Erwin Jünnemann:
Prozessmodellierung und -optimierung mit Fuzzy-Clustering. Künstliche Intell. 15(3): 34-37 (2001) - [c11]Erwin Gerstorfer, Thomas A. Runkler, Martin Schlang, Erwin Jünnemann, Jürgen Hollatz:
Intelligent control of the refining process for improved fiber quality. ECC 2001: 751-756 - [c10]Rainer Palm, Thomas A. Runkler:
Decentralized Control of Hybrid Systems. ISADS 2001: 287-296 - 2000
- [b2]Thomas A. Runkler:
Information mining - Methoden, Algorithmen und Anwendungen intelligenter Datenanalyse. Computational intelligence, Vieweg 2000, ISBN 978-3-528-05741-1, pp. I-VIII, 1-171 - [c9]Rainer Palm, Christiane Stutz, Thomas A. Runkler:
A control sequence generator for fuzzy gain schedulers. CDC 2000: 370-375 - [c8]Thomas A. Runkler, James C. Bezdek:
Automatic keyword extraction with relational clustering and Levenshtein distances. FUZZ-IEEE 2000: 636-640
1990 – 1999
- 1999
- [j4]Thomas A. Runkler, James C. Bezdek:
Function approximation with polynomial membership functions and alternating cluster estimation. Fuzzy Sets Syst. 101(2): 207-218 (1999) - [j3]Thomas A. Runkler, James C. Bezdek:
Alternating cluster estimation: a new tool for clustering and function approximation. IEEE Trans. Fuzzy Syst. 7(4): 377-393 (1999) - [c7]Martin Schlang, Björn Feldkeller, Bernhard Lang, Thomas Poppe, Thomas A. Runkler:
Neural computation in steel industry. ECC 1999: 2922-2927 - [c6]Thomas A. Runkler, Erwin Gerstorfer, Martin Schlang, Erwin Jiinnemann, Klaus Villforth:
Data compression and soft sensors in the pulp and paper industry. ECC 1999: 2928-2932 - [p1]Thomas A. Runkler:
Probabilistische und Fuzzy Methoden für die Clusteranalyse. Fuzzy Theorie und Stochastik 1999: 355-369 - 1998
- [j2]Thomas A. Runkler:
Automatic generation of first order Takagi-Sugeno systems using fuzzy c-elliptotypes clustering. J. Intell. Fuzzy Syst. 6(4): 435-445 (1998) - [c5]Thomas A. Runkler, Jürgen Hollatz, Herbert Furumoto, Erwin Jünnemann, Klaus Villforth:
Compression of Industrial Process Data Using Fast Alternating Cluster Estimation (FACE). Workshop Data Mining und Data Warehousing 1998: 71-80 - 1997
- [j1]Thomas A. Runkler:
Selection of appropriate defuzzification methods using application specific properties. IEEE Trans. Fuzzy Syst. 5(1): 72-79 (1997) - [c4]Nikhil R. Pal, Kuhu Pal, James C. Bezdek, Thomas A. Runkler:
Some issues in system identification using clustering. ICNN 1997: 2524-2529 - 1996
- [b1]Thomas A. Runkler:
Automatische Selektion signifikanter scharfer Werte in unscharfen regelbasierten Systemen der Informations- und Automatisierungstechnik. Darmstadt University of Technology, Germany, VDI-Verlag 1996, ISBN 978-3-18-341710-0, pp. 1-182 - 1995
- [c3]Thomas A. Runkler, Manfred Glesner:
Multidimensional defuzzification - fast algorithms for the determination of crisp characteristic subsets. SAC 1995: 575-579 - 1994
- [c2]Thomas A. Runkler, Manfred Glesner:
DECADE - fast centroid approximation defuzzification for real time fuzzy control applications. SAC 1994: 161-165 - 1993
- [c1]Thomas A. Runkler, Manfred Glesner:
Approximative Synthese von Fuzzy - Controllern. Fuzzy Days 1993: 22-31
Coauthor Index
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