Name
Affiliation
Papers
THOMAS A. RUNKLER
Siemens AG, Corp Technol Informat & Commun, Neural Computat Dept, D-81730 Munich, Germany
88
Collaborators
Citations 
PageRank 
110
345
47.43
Referers 
Referees 
References 
774
847
465
Search Limit
100847
Title
Citations
PageRank
Year
SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT.00.342022
PIU: risk-sensitive decision making using Pareto optimization of interval utilities induced by fuzzy preference relations00.342022
Overcoming Model Bias For Robust Offline Deep Reinforcement Learning00.342021
Demystifying Graph Neural Network Explanations00.342021
Ant colony optimization for mining gradual patterns00.342021
The synergy of complex event processing and tiny machine learning in industrial IoT00.342021
TopicBERT for Energy Efficient Document Classification00.342020
Bayesian decomposition of multi-modal dynamical systems for reinforcement learning10.392020
Neural Topic Modeling with Continual Lifelong Learning00.342020
Comparing Intervals Using Type Reduction00.342020
Supporting Skill-Based Flexible Manufacturing With Symbolic Ai Methods00.342020
Canonical Fuzzy Preference Relations.00.342019
interpretable dynamics models for data-efficient reinforcement learning.00.342019
Neural Relation Extraction within and across Sentence Boundaries.00.342019
Optimizing the C Index Using a Canonical Genetic Algorithm.00.342019
Generating interpretable reinforcement learning policies using genetic programming.00.342019
Just–In–Time Supply Chain Management Using Interval Type–2 Fuzzy Decision Making10.362019
Diagnostics Of Trains With Semantic Diagnostics Rules20.362018
Explanation of Action Plans Through Ontologies.00.342018
Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming.00.342018
Neural Relation Extraction Within and Across Sentence Boundaries.00.342018
Interpretable Policies for Reinforcement Learning by Genetic Programming.30.392018
Mapping Utilities to Transitive Preferences.00.342018
Multimodal Deep Gaussian Processes.00.342018
Type reduction operators for interval type-2 defuzzification.40.412018
Sensitivity analysis for predictive uncertainty.00.342018
Bayesian Alignments of Warped Multi-Output Gaussian Processes00.342018
Semantic Rule-Based Equipment Diagnostic.30.372017
A Benchmark Environment Motivated By Industrial Control Problems60.452017
Interval type-2 fuzzy decision making.100.512017
SemDia: Semantic Rule-Based Equipment Diagnostics Tool.40.402017
Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies.90.542017
Ontology-based integration of performance related data and models: An application to industrial turbine analytics00.342017
The Generalized C Index for Internal Fuzzy Cluster Validity.30.372016
Semantic Framework for Industrial Analytics and Diagnostics.20.432016
Reinforcement Learning with Particle Swarm Optimization Policy (PSO-P) in Continuous State and Action Spaces.70.592016
Generation Of Linguistic Membership Functions From Word Vectors10.352016
Particle Swarm Optimization for Generating Fuzzy Reinforcement Learning Policies.00.342016
Constructing Preference Relations from Utilities and Vice Versa.10.412016
Towards Semantic Reasoning In Knowledge Management Systems00.342016
Exploiting similarity in system identification tasks with recurrent neural networks.20.412015
Fuzzy Graph Clustering based on Non-Euclidean Relational Fuzzy c-Means00.342015
Model-based Performance Evaluation of Large-Scale Smart Metering Architectures10.362015
Properties of interval type-2 defuzzification operators30.422015
Stream Processing On Demand For Lambda Architectures70.512015
Regularized Recurrent Neural Networks for Data Efficient Dual-Task Learning.00.342014
Ontology-Based Translation of Natural Language Queries to SPARQL.00.342014
A CEP Technology Stack for Situation Recognition on the Gumstix Embedded Controller.00.342013
Topology Preserving Feature Extraction with Multiswarm Optimization10.412013
Datenbasierte Optimalsteuerung mit neuronalen Netzen und dateneffizientem Reinforcement Learning.00.342012
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