default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDThomas A. Runkler
Person information
- affiliation: Technical University Munich, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[b4]Thomas A. Runkler:
Data Analytics - Models and Algorithms for Intelligent Data Analysis - A Comprehensive Introduction, Fourth Editiontion. Springer 2025, ISBN 978-3-658-45950-5, pp. 1-189- 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-17 21:52 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
