Approximative Synthese von Fuzzy - Controllern. - Thomas A. Runkler; Manfred Glesner (Fuzzy Days, 1993)

DECADE - fast centroid approximation defuzzification for real time fuzzy control applications. - Thomas A. Runkler; Manfred Glesner (SAC, 1994)

Multidimensional defuzzification - fast algorithms for the determination of crisp characteristic subsets. - Thomas A. Runkler; Manfred Glesner (SAC, 1995)

Automatische Selektion signifikanter scharfer Werte in unscharfen regelbasierten Systemen der Informations- und Automatisierungstechnik. - Thomas A. Runkler (VDI-Verlag, 1996)

Some issues in system identification using clustering. - Nikhil R. Pal; Kuhu Pal; James C. Bezdek; Thomas A. Runkler (ICNN, 1997)

Selection of appropriate defuzzification methods using application specific properties. - Thomas A. Runkler (IEEE Trans. Fuzzy Syst., 1997)

Compression of Industrial Process Data Using Fast Alternating Cluster Estimation (FACE). - Thomas A. Runkler; Jürgen Hollatz; Herbert Furumoto; Erwin Jünnemann; Klaus Villforth (Workshop Data Mining und Data Warehousing, 1998)

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

Probabilistische und Fuzzy Methoden für die Clusteranalyse. - Thomas A. Runkler (Fuzzy Theorie und Stochastik, 1999)

Data compression and soft sensors in the pulp and paper industry. - Thomas A. Runkler; Erwin Gerstorfer; Martin Schlang; Erwin Jiinnemann; Klaus Villforth (ECC, 1999)

Neural computation in steel industry. - Martin Schlang; Björn Feldkeller; Bernhard Lang; Thomas Poppe; Thomas A. Runkler (ECC, 1999)

Function approximation with polynomial membership functions and alternating cluster estimation. - Thomas A. Runkler; James C. Bezdek (Fuzzy Sets Syst., 1999)

Alternating cluster estimation: a new tool for clustering and function approximation. - Thomas A. Runkler; James C. Bezdek (IEEE Trans. Fuzzy Syst., 1999)

Information mining - Methoden, Algorithmen und Anwendungen intelligenter Datenanalyse. - Thomas A. Runkler (Vieweg, 2000)

A control sequence generator for fuzzy gain schedulers. - Rainer Palm; Christiane Stutz; Thomas A. Runkler (CDC, 2000)

Automatic keyword extraction with relational clustering and Levenshtein distances. - Thomas A. Runkler; James C. Bezdek (FUZZ-IEEE, 2000)

Intelligent control of the refining process for improved fiber quality. - Erwin Gerstorfer; Thomas A. Runkler; Martin Schlang; Erwin Jünnemann; Jürgen Hollatz (ECC, 2001)

Decentralized Control of Hybrid Systems. - Rainer Palm; Thomas A. Runkler (ISADS, 2001)

Fuzzy Clustering for Data Compression, Modeling, and Optimization in Recovered Paper Industry. - Thomas A. Runkler; Erwin Gerstorfer; Martin Schlang; Erwin Jünnemann; Klaus Villforth (Eur. J. Control, 2001)

Prozessmodellierung und -optimierung mit Fuzzy-Clustering. - Thomas A. Runkler; Klaus Villforth; Erwin Jünnemann (Künstliche Intell., 2001)

Should Tendency Assessment Precede Rule Extraction by Clustering? (No!). - James C. Bezdek; Nikhil R. Pal; Thomas A. Runkler; Kuhu Pal (Advances in Computational Intelligence and Learning, 2002)

Ant Colonies as Logistic Processes Optimizers. - Carlos A. Silva 001; Thomas A. Runkler; João Miguel da Costa Sousa; Rainer Palm (Ant Algorithms, 2002)

Fuzzy optimization of logistic processes. - J. M. Sousa; Rainer Palm; C. Silva; Thomas A. Runkler (FUZZ-IEEE, 2002)

Classification and prediction of road traffic using application-specific fuzzy clustering. - Christiane Stutz; Thomas A. Runkler (IEEE Trans. Fuzzy Syst., 2002)

Optimization of Logistic Processes in Supply-Chains Using Meta-heuristics. - Carlos A. Silva 001; Thomas A. Runkler; João Miguel da Costa Sousa; José M. G. Sá da Costa (EPIA, 2003)

Evolved genetic algorithms with fuzzy aggregation applied to priorities in logistic systems. - Carlos A. Silva 001; João M. C. Sousa; Thomas A. Runkler; José M. G. Sá da Costa (ETFA (2), 2003)

Fuzzy nonlinear projection. - Thomas A. Runkler (FUZZ-IEEE, 2003)

Web mining with relational clustering. - Thomas A. Runkler; James C. Bezdek (Int. J. Approx. Reason., 2003)

Optimizing logistic processes using a fuzzy decision making approach. - João Miguel da Costa Sousa; Rainer Palm; Carlos A. Silva 001; Thomas A. Runkler (IEEE Trans. Syst. Man Cybern. Part A, 2003)

Ant Colony Optimization for dynamic Traveling Salesman Problems. - Carlos A. Silva 001; Thomas A. Runkler (ARCS Workshops, 2004)

Fuzzy histograms and fuzzy chi-squared tests for independence. - Thomas A. Runkler (FUZZ-IEEE, 2004)

A multi-agent approach for supply chain management using ant colony optimization. - Carlos A. Silva 001; João Miguel da Costa Sousa; José M. G. Sá da Costa; Thomas A. Runkler (SMC (2), 2004)

Data Mining. - Thomas A. Runkler (FUZZ-IEEE, 2005)

Relational Gustafson Kessel Clustering Using Medoids and Triangulation. - Thomas A. Runkler (FUZZ-IEEE, 2005)

Soft computing optimization methods applied to logistic processes. - Carlos A. Silva 001; João Miguel da Costa Sousa; Thomas A. Runkler; Rainer Palm (Int. J. Approx. Reason., 2005)

Ant colony optimization of clustering models. - Thomas A. Runkler (Int. J. Intell. Syst., 2005)

An ant algorithm for static and dynamic MAX-SAT problems. - Pedro C. Pinto; Thomas A. Runkler; João M. C. Sousa (BIONETICS, 2006)

Fuzzy Clustering by Particle Swarm Optimization. - Thomas A. Runkler; Christina Katz (FUZZ-IEEE, 2006)

Distributed optimisation of a logistic system and its suppliers using ant colonies. - Carlos A. Silva 001; João Miguel da Costa Sousa; Thomas A. Runkler; José M. G. Sá da Costa (Int. J. Syst. Sci., 2006)

Pareto Optimality of Cluster Objective and Validity Functions. - Thomas A. Runkler (FUZZ-IEEE, 2007)

Wasp Swarm Algorithm for Dynamic MAX-SAT Problems. - Pedro C. Pinto; Thomas A. Runkler; João Miguel da Costa Sousa (ICANNGA (1), 2007)

Ant Colony Optimization Applied to Feature Selection in Fuzzy Classifiers. - Susana M. Vieira; João Miguel da Costa Sousa; Thomas A. Runkler (IFSA (1), 2007)

Online Optimization of a Color Sorting Assembly Buffer Using Ant Colony Optimization. - Stephan A. Hartmann; Thomas A. Runkler (OR, 2007)

Optimization of logistic systems using fuzzy weighted aggregation. - Carlos A. Silva 001; João Miguel da Costa Sousa; Thomas A. Runkler (Fuzzy Sets Syst., 2007)

Ant Colony Optimization and its Application to Regular and Dynamic MAX-SAT Problems. - Pedro C. Pinto; Thomas A. Runkler; João Miguel da Costa Sousa (Advances in Biologically Inspired Information Systems, 2007)

Learning of Bayesian networks by a local discovery ant colony algorithm. - Pedro C. Pinto; Andreas Nägele; Mathäus Dejori; Thomas A. Runkler; João Miguel da Costa Sousa (IEEE Congress on Evolutionary Computation, 2008)

Fuzzy c-auto regression models. - Thomas A. Runkler; Hans Georg Seedig (FUZZ-IEEE, 2008)

Fuzzy classification in ant feature selection. - Susana M. Vieira; João Miguel da Costa Sousa; Thomas A. Runkler (FUZZ-IEEE, 2008)

Rescheduling and optimization of logistic processes using GA and ACO. - Carlos A. Silva 001; João Miguel da Costa Sousa; Thomas A. Runkler (Eng. Appl. Artif. Intell., 2008)

Optimal attractors and Switched Kanban Control in Discrete Strange Billiards. - Thomas A. Runkler (Int. J. Bifurc. Chaos, 2008)

Wasp swarm optimization of the c-means clustering model. - Thomas A. Runkler (Int. J. Intell. Syst., 2008)

Fuzzy c-Means Herding. - Thomas A. Runkler (IFSA/EUSFLAT Conf., 2009)

Forecasting of clustered time series with recurrent neural networks and a fuzzy clustering scheme. - Hans Georg Seedig; Ralph Grothmann; Thomas A. Runkler (IJCNN, 2009)

Distributed supply chain management using ant colony optimization. - Carlos A. Silva 001; João Miguel da Costa Sousa; Thomas A. Runkler; José M. G. Sá da Costa (Eur. J. Oper. Res., 2009)

Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning. - Pedro C. Pinto; Andreas Nägele; Mathäus Dejori; Thomas A. Runkler; João Miguel da Costa Sousa (IEEE Trans. Evol. Comput., 2009)

A new approach to clustering using eigen decomposition. - Thomas A. Runkler; Florian Steinke (FUZZ-IEEE, 2010)

Comparing Partitions by Subset Similarities. - Thomas A. Runkler (IPMU, 2010)

Two cooperative ant colonies for feature selection using fuzzy models. - Susana M. Vieira; João Miguel da Costa Sousa; Thomas A. Runkler (Expert Syst. Appl., 2010)

Optimierung industrieller Logistikprozesse mit Verfahren der Schwarmintelligenz und rekurrenten neuronalen Netzen. - Thomas A. Runkler; Ralph Grothmann; Joachim Bamberger (Künstliche Intell., 2010)

Partially supervised k-harmonic means clustering. - Thomas A. Runkler (CIDM, 2011)

Fuzzy approaches to hard c-means clustering. - Thomas A. Runkler; James M. Keller (FUZZ-IEEE, 2012)

Support vector machines for program analysis. - Andrea Flexeder; Matthias Putz; Thomas A. Runkler (IJCNN, 2012)

Merging Partitions Using Similarities of Anchor Subsets. - Thomas A. Runkler (SMPS, 2012)

Datenbasierte Optimalsteuerung mit neuronalen Netzen und dateneffizientem Reinforcement Learning. - Thomas A. Runkler; Steffen Udluft; Siegmund Düll (Autom., 2012)

Learning and Self-organization for Spatiotemporal Systems. - Thomas A. Runkler; Rudolf Sollacher; Andrei Szabo (Künstliche Intell., 2012)

Recurrent Neural Networks for Industrial Procurement Decisions. - Hans-Georg Zimmermann; Christoph Tietz; Ralph Grothmann; Thomas A. Runkler (Künstliche Intell., 2012)

A CEP Technology Stack for Situation Recognition on the Gumstix Embedded Controller. - Stephan Grimm; Thomas Hubauer; Thomas A. Runkler; Carlos Pachajoa; Felix Rempe; Marco Seravalli; Philipp Neumann (GI-Jahrestagung, 2013)

Topology Preserving Feature Extraction with Multiswarm Optimization. - Thomas A. Runkler; James C. Bezdek (SMC, 2013)

Insect Swarm Algorithms for Dynamic MAX-SAT Problems. - Pedro C. Pinto; Thomas A. Runkler; João M. C. Sousa (Metaheuristics for Dynamic Optimization, 2013)

Ontology-Based Translation of Natural Language Queries to SPARQL. - Malte Sander; Ulli Waltinger; Mikhail Roshchin; Thomas A. Runkler (AAAI Fall Symposia, 2014)

Multidimensional scaling with multiswarming. - Thomas A. Runkler; James C. Bezdek (IEEE Congress on Evolutionary Computation, 2014)

Regularized Recurrent Neural Networks for Data Efficient Dual-Task Learning. - Sigurd Spieckermann; Siegmund Düll; Steffen Udluft; Thomas A. Runkler (ICANN, 2014)

Vorwort. - Thomas Setzer; Stefan Nickel; Ralf Gitzel; Thomas A. Runkler; Christof Weinhardt (MKWI, 2014)

Stream Processing on Demand for Lambda Architectures. - Johannes Kroß; Andreas Brunnert; Christian Prehofer; Thomas A. Runkler; Helmut Krcmar (EPEW, 2015)

Fuzzy Graph Clustering based on Non-Euclidean Relational Fuzzy c-Means. - Thomas A. Runkler; Vikram Ravindra (IFSA-EUSFLAT, 2015)

Properties of interval type-2 defuzzification operators. - Thomas A. Runkler; Simon Coupland; Robert Ivor John (FUZZ-IEEE, 2015)

Model-based Performance Evaluation of Large-Scale Smart Metering Architectures. - Johannes Kroß; Andreas Brunnert; Christian Prehofer; Thomas A. Runkler; Helmut Krcmar (LT@ICPE, 2015)

Exploiting similarity in system identification tasks with recurrent neural networks. - Sigurd Spieckermann; Siegmund Düll; Steffen Udluft; Alexander Hentschel; Thomas A. Runkler (Neurocomputing, 2015)

Data Analytics - Models and Algorithms for Intelligent Data Analysis, Second Edition - Thomas A. Runkler (Springer, 2016)

Generation of linguistic membership functions from word vectors. - Thomas A. Runkler (FUZZ-IEEE, 2016)

Semantic Framework for Industrial Analytics and Diagnostics. - Gulnar Mehdi; Sebastian Brandt 001; Mikhail Roshchin; Thomas A. Runkler (IJCAI, 2016)

Towards Semantic Reasoning in Knowledge Management Systems. - Gulnar Mehdi; Sebastian Brandt 001; Mikhail Roshchin; Thomas A. Runkler (AI4KM@IJCAI, 2016)

Constructing Preference Relations from Utilities and Vice Versa. - Thomas A. Runkler (IPMU (2), 2016)

Vorwort. - Thomas Setzer; Stefan Nickel; Christof Weinhardt; Ralph Grothmann; Thomas A. Runkler; Ralf Gitzel; Hansjörg Fromm (MKWI, 2016)

Particle Swarm Optimization for Generating Fuzzy Reinforcement Learning Policies. - Daniel Hein 001; Alexander Hentschel; Thomas A. Runkler; Steffen Udluft (CoRR, 2016)

Reinforcement Learning with Particle Swarm Optimization Policy (PSO-P) in Continuous State and Action Spaces. - Daniel Hein 001; Alexander Hentschel; Thomas A. Runkler; Steffen Udluft (Int. J. Swarm Intell. Res., 2016)

The Generalized C Index for Internal Fuzzy Cluster Validity. - James C. Bezdek; Masud Moshtaghi; Thomas A. Runkler; Christopher Leckie (IEEE Trans. Fuzzy Syst., 2016)

SemDia: Semantic Rule-Based Equipment Diagnostics Tool. - Gulnar Mehdi; Evgeny Kharlamov; Ognjen Savkovic; Guohui Xiao 001; Elem Güzel Kalayci; Sebastian Brandt 001; Ian Horrocks 001; Mikhail Roshchin; Thomas A. Runkler (CIKM, 2017)

Sequential possibilistic one-means clustering. - Thomas A. Runkler; James M. Keller (FUZZ-IEEE, 2017)

Batch reinforcement learning on the industrial benchmark: First experiences. - Daniel Hein 001; Steffen Udluft; Michel Tokic; Alexander Hentschel; Thomas A. Runkler; Volkmar Sterzing (IJCNN, 2017)

Ontology-based integration of performance related data and models: An application to industrial turbine analytics. - Gulnar Mehdi; Thomas A. Runkler; Mikhail Roshchin; Sindhu Suresh; Nguyen Quang (INDIN, 2017)

Semantic Rule-Based Equipment Diagnostics. - Gulnar Mehdi; Evgeny Kharlamov; Ognjen Savkovic; Guohui Xiao 001; Elem Güzel Kalayci; Sebastian Brandt 001; Ian Horrocks 001; Mikhail Roshchin; Thomas A. Runkler (ISWC (2), 2017)

Semantic Rule-Based Equipment Diagnostic. - Gulnar Mehdi; Evgeny Kharlamov; Ognjen Savkovic; Guohui Xiao 001; Elem Guzel Kalayci; Sebastian Brandt 001; Ian Horrocks 001; Mikhail Roshchin; Thomas A. Runkler (ISWC (Posters, Demos & Industry Tracks), 2017)

A benchmark environment motivated by industrial control problems. - Daniel Hein 001; Stefan Depeweg; Michel Tokic; Steffen Udluft; Alexander Hentschel; Thomas A. Runkler; Volkmar Sterzing (SSCI, 2017)

Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies. - Daniel Hein 001; Alexander Hentschel; Thomas A. Runkler; Steffen Udluft (Eng. Appl. Artif. Intell., 2017)

Interval type-2 fuzzy decision making. - Thomas A. Runkler; Simon Coupland; Robert I. John (Int. J. Approx. Reason., 2017)

Sensitivity analysis for predictive uncertainty. - Stefan Depeweg; José Miguel Hernández-Lobato; Steffen Udluft; Thomas A. Runkler (ESANN, 2018)

Sequential Possibilistic One-Means Clustering with Dynamic Eta. - Wenlong Wu; James M. Keller; Thomas A. Runkler (FUZZ-IEEE, 2018)

Generating interpretable fuzzy controllers using particle swarm optimization and genetic programming. - Daniel Hein 001; Steffen Udluft; Thomas A. Runkler (GECCO (Companion), 2018)

Diagnostics of Trains with Semantic Diagnostics Rules. - Evgeny Kharlamov; Ognjen Savkovic; Martin Ringsquandl; Guohui Xiao 001; Gulnar Mehdi; Elem Güzel Kalayci; Werner Nutt; Mikhail Roshchin; Ian Horrocks 001; Thomas A. Runkler (ILP, 2018)

Mapping Utilities to Transitive Preferences. - Thomas A. Runkler (IPMU (1), 2018)

Bayesian Alignments of Warped Multi-Output Gaussian Processes. - Markus Kaiser 001; Clemens Otte; Thomas A. Runkler; Carl Henrik Ek (NeurIPS, 2018)

Explanation of Action Plans Through Ontologies. - Ivan Gocev; Stephan Grimm; Thomas A. Runkler (OTM Conferences (2), 2018)

Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems. - Marcel Hildebrandt; Swathi Shyam Sunder; Serghei Mogoreanu; Ingo Thon; Volker Tresp; Thomas A. Runkler (ECML/PKDD (3), 2018)

Neural Relation Extraction Within and Across Sentence Boundaries. - Pankaj Gupta 003; Subburam Rajaram; Hinrich Schütze; Bernt Andrassy; Thomas A. Runkler (CoRR, 2018)

Multimodal Deep Gaussian Processes. - Markus Kaiser 001; Clemens Otte; Thomas A. Runkler; Carl Henrik Ek (CoRR, 2018)

Interpretable policies for reinforcement learning by genetic programming. - Daniel Hein 001; Steffen Udluft; Thomas A. Runkler (Eng. Appl. Artif. Intell., 2018)

Type reduction operators for interval type-2 defuzzification. - Thomas A. Runkler; Chao Chen 007; Robert I. John (Inf. Sci., 2018)

Neural Relation Extraction within and across Sentence Boundaries. - Pankaj Gupta 003; Subburam Rajaram; Hinrich Schütze; Thomas A. Runkler (AAAI, 2019)

interpretable dynamics models for data-efficient reinforcement learning. - Markus Kaiser 001; Clemens Otte; Thomas A. Runkler; Carl Henrik Ek (ESANN, 2019)

Optimizing the C Index Using a Canonical Genetic Algorithm. - Thomas A. Runkler; James C. Bezdek (EvoApplications, 2019)

Just-In-Time Supply Chain Management Using Interval Type-2 Fuzzy Decision Making. - Thomas A. Runkler; Chao Chen 007; Simon Coupland; Robert I. John (FUZZ-IEEE, 2019)

Generating interpretable reinforcement learning policies using genetic programming. - Daniel Hein 001; Steffen Udluft; Thomas A. Runkler (GECCO (Companion), 2019)

Canonical Fuzzy Preference Relations. - Thomas A. Runkler (IFSA/NAFIPS, 2019)

Data Association with Gaussian Processes. - Markus Kaiser 001; Clemens Otte; Thomas A. Runkler; Carl Henrik Ek (ECML/PKDD (2), 2019)

Neural Architectures for Fine-Grained Propaganda Detection in News. - Pankaj Gupta 003; Khushbu Saxena; Usama Yaseen; Thomas A. Runkler; Hinrich Schütze (CoRR, 2019)

Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers. - Yatin Chaudhary; Pankaj Gupta 003; Thomas A. Runkler (CoRR, 2019)

TopicBERT for Energy Efficient Document Classification. - Yatin Chaudhary; Pankaj Gupta 003; Khushbu Saxena; Vivek Kulkarni; Thomas A. Runkler; Hinrich Schütze (EMNLP (Findings), 2020)

Ontology-Based Skill Description Learning for Flexible Production Systems. - Anna Himmelhuber; Stephan Grimm; Thomas A. Runkler; Sonja Zillner (ETFA, 2020)

Comparing Intervals Using Type Reduction. - Thomas A. Runkler; Chao Chen 007; Simon Coupland; Robert I. John (FUZZ-IEEE, 2020)

Neural Topic Modeling with Continual Lifelong Learning. - Pankaj Gupta 003; Yatin Chaudhary; Thomas A. Runkler; Hinrich Schütze (ICML, 2020)

Supporting Skill-based Flexible Manufacturing with Symbolic AI Methods. - Ivan Gocev; Stephan Grimm; Thomas A. Runkler (IECON, 2020)

DR-TiST: Disentangled Representation for Time Series Translation Across Application Domains. - Hiba Arnout; Johanna Bronner; Johannes Kehrer; Thomas A. Runkler (IJCNN, 2020)

Generalized Weak Transitivity of Preference. - Thomas A. Runkler (IPMU (1), 2020)

Visual Evaluation of Generative Adversarial Networks for Time Series Data. - Hiba Arnout; Johannes Kehrer; Johanna Bronner; Thomas A. Runkler (CoRR, 2020)

Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics. - Manuel A. Roehrl; Thomas A. Runkler; Veronika Brandtstetter; Michel Tokic; Stefan Obermayer (CoRR, 2020)

Interpretable Control by Reinforcement Learning. - Daniel Hein 001; Steffen Limmer; Thomas A. Runkler (CoRR, 2020)

Bayesian decomposition of multi-modal dynamical systems for reinforcement learning. - Markus Kaiser 001; Clemens Otte; Thomas A. Runkler; Carl Henrik Ek (Neurocomputing, 2020)

PrefMap: Visualization of fuzzy pairwise preference structures. - Thomas A. Runkler (J. Intell. Fuzzy Syst., 2020)

The synergy of complex event processing and tiny machine learning in industrial IoT. - Haoyu Ren; Darko Anicic; Thomas A. Runkler (DEBS, 2021)

Differentially Private Time Series Generation. - Hiba Arnout; Johanna Bronner; Thomas A. Runkler (ESANN, 2021)

Behavior Constraining in Weight Space for Offline Reinforcement Learning. - Phillip Swazinna; Steffen Udluft; Daniel Hein 001; Thomas A. Runkler (ESANN, 2021)

Evaluation of Generative Adversarial Networks for Time Series Data. - Hiba Arnout; Johanna Bronner; Thomas A. Runkler (IJCNN, 2021)

TinyOL: TinyML with Online-Learning on Microcontrollers. - Haoyu Ren; Darko Anicic; Thomas A. Runkler (IJCNN, 2021)

A New Concept for Explaining Graph Neural Networks. - Anna Himmelhuber; Sonja Zillner; Stephan Grimm; Martin Ringsquandl; Mitchell Joblin; Thomas A. Runkler (NeSy, 2021)

Demystifying Graph Neural Network Explanations. - Anna Himmelhuber; Mitchell Joblin; Martin Ringsquandl; Thomas A. Runkler (PKDD/ECML Workshops (1), 2021)

Combining Sub-symbolic and Symbolic Methods for Explainability. - Anna Himmelhuber; Stephan Grimm; Sonja Zillner; Mitchell Joblin; Martin Ringsquandl; Thomas A. Runkler (RuleML+RR, 2021)

Translation of Time Series Data from Controlled DC Motors using Disentangled Representation Learning. - Hiba Arnout; Johanna Bronner; Johannes Kehrer; Thomas A. Runkler (SSCI, 2021)

ClaRe-GAN: Generation of Class-Specific Time Series. - Hiba Arnout; Johanna Bronner; Thomas A. Runkler (SSCI, 2021)

Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. - Phillip Swazinna; Steffen Udluft; Thomas A. Runkler (SSCI, 2021)

Learning through structure: towards deep neuromorphic knowledge graph embeddings. - Victor Caceres Chian; Marcel Hildebrandt; Thomas A. Runkler; Dominik Dold (CoRR, 2021)

Overcoming model bias for robust offline deep reinforcement learning. - Phillip Swazinna; Steffen Udluft; Thomas A. Runkler (Eng. Appl. Artif. Intell., 2021)

Ant colony optimization for mining gradual patterns. - Dickson Odhiambo Owuor; Thomas A. Runkler; Anne Laurent; Joseph Onderi Orero; Edmond Odhiambo Menya (Int. J. Mach. Learn. Cybern., 2021)

Towards Data-Free Domain Generalization. - Ahmed Frikha 002; Haokun Chen; Denis Krompaß; Thomas A. Runkler; Volker Tresp (ACML, 2022)

Pareto Interval Type-2 Fuzzy Decision Making for Labeled Objects. - Thomas A. Runkler (FUZZ-IEEE, 2022)

Neuro-symbolic computing with spiking neural networks. - Dominik Dold; Josep Soler Garrido; Victor Caceres Chian; Marcel Hildebrandt; Thomas A. Runkler (ICONS, 2022)

SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT. - Haoyu Ren; Kirill Dorofeev; Darko Anicic; Youssef Hammad; Roland Eckl; Thomas A. Runkler (ISWC, 2022)

Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods. - Anna Himmelhuber; Dominik Dold; Stephan Grimm; Sonja Zillner; Thomas A. Runkler (SSCI, 2022)

Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning. - Phillip Swazinna; Steffen Udluft; Daniel Hein 001; Thomas A. Runkler (CoRR, 2022)

How to Manage Tiny Machine Learning at Scale: An Industrial Perspective. - Haoyu Ren; Darko Anicic; Thomas A. Runkler (CoRR, 2022)

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

A metaheuristic approach for mining gradual patterns. - Dickson Odhiambo Owuor; Thomas A. Runkler; Anne Laurent (Swarm Evol. Comput., 2022)

Towards Semantic Management of On-Device Applications in Industrial IoT. - Haoyu Ren; Darko Anicic; Thomas A. Runkler (ACM Trans. Internet Techn., 2022)

Automatic Trade-off Adaptation in Offline RL. - Phillip Swazinna; Steffen Udluft; Thomas A. Runkler (ESANN, 2023)

A Convergence Study of the Possibilistic One Means Algorithm. - Thomas A. Runkler (FUZZ, 2023)

User-Interactive Offline Reinforcement Learning. - Phillip Swazinna; Steffen Udluft; Thomas A. Runkler (ICLR, 2023)

TinyReptile: TinyML with Federated Meta-Learning. - Haoyu Ren; Darko Anicic; Thomas A. Runkler (IJCNN, 2023)

TinyMetaFed: Efficient Federated Meta-learning for TinyML. - Haoyu Ren; Xue Li 001; Darko Anicic; Thomas A. Runkler (PKDD/ECML Workshops (4), 2023)

Combining Sub-Symbolic and Symbolic Methods for Explainability. - Anna Himmelhuber; Stephan Grimm; Mitchell Joblin; Sonja Zillner; Thomas A. Runkler (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering. - Cuong Nhat Ha; Shima Asaadi; Sanjeev Kumar Karn; Oladimeji Farri; Tobias Heimann; Thomas A. Runkler (ClinicalNLP@NAACL, 2024)

FsPONER: Few-Shot Prompt Optimization for Named Entity Recognition in Domain-Specific Scenarios. - Yongjian Tang; Rakebul Hasan; Thomas A. Runkler (ECAI, 2024)

Visualization of Preference Matrices for Labeled Objects. - Thomas A. Runkler (IPMU (1), 2024)

Model-Based Offline Quantum Reinforcement Learning. - Simon Eisenmann; Daniel Hein 001; Steffen Udluft; Thomas A. Runkler (QCE, 2024)

Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition. - Aneta Koleva; Martin Ringsquandl; Ahmed Hatem; Thomas A. Runkler; Volker Tresp (CoRR, 2024)

TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning. - Batikan Bora Ormanci; Phillip Swazinna; Steffen Udluft; Thomas A. Runkler (CoRR, 2024)

Einstein consistency of fuzzy preference relations. - Thomas A. Runkler (J. Intell. Fuzzy Syst., 2024)

Clustering-based gradual pattern mining. - Dickson Odhiambo Owuor; Thomas A. Runkler; Anne Laurent; Lesley Bonyo (Int. J. Mach. Learn. Cybern., 2024)

On-device Online Learning and Semantic Management of TinyML Systems. - Haoyu Ren; Darko Anicic; Xue Li 001; Thomas A. Runkler (ACM Trans. Embed. Comput. Syst., 2024)

Data Analytics - Models and Algorithms for Intelligent Data Analysis - A Comprehensive Introduction, Fourth Editiontion - Thomas A. Runkler (Springer, 2025)

Virtually Commissioned Semantic Recipes based on OPC UA Skills. - Kay Köhle; Darko Anicic; Thomas A. Runkler; Kirill Dorofeev; Aparna Saisree Thuluva; René Graf (ICPS, 2025)

Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia Tables. - Aneta Koleva; Martin Ringsquandl; Ahmed Hatem; Thomas A. Runkler; Volker Tresp (SIGIR, 2025)

Is Q-learning an Ill-posed Problem? - Philipp Wissmann; Daniel Hein 001; Steffen Udluft; Thomas A. Runkler (CoRR, 2025)