Kontinuant
Continuant
Organisation
Organization
Entität
Entity
Akteur
Agent
Unabhängiger Kontinuant
Independent Continuant
Organization units
Organisationseinheiten
Entwicklung eines verschleißfreien induktiven RFID-Distanzsensors mit KI-basierter Störobjekt-Kompensation
Editorial for the Special Issue on Automated Design and Assessment of Heuristic Search Methods
Towards Realistic Optimization Benchmarks
Design of Cyclone Dust Separators: A Constrained Multiobjective Optimization Perspective
Case Study III: Tuning of Deep Neural Networks
Tuning Algorithms for Stochastic Black-Box Optimization
Institut für Data Science, Engineering, and Analytics
Increasing the Diversity of Benchmark Function Sets Through Affine Recombination
Modeling and Optimization of a Robust Gas Sensor
Threshold Selection, Hypothesis Tests, and DOE Methods
Underwater Acoustic Networks for Security Risk Assessment in PublicDrinking Water Reservoirs
Circuit Design Using Evolutionary Algorithms
Open Issues in Surrogate-Assisted Optimization
Expected Improvement versus Predicted Value in Surrogate-Based Optimization
ChatGPT Code Detection: Techniques for Uncovering the Source of Code
Datengetriebene Prozessbewertung und -optimierung in der Logistik
Improving the Reliability of Test Functions Generators
EventDetectR – An Open-Source Event Detection System
Meta-Model Based Optimization of Hot Rolling Processes in the Metal Industry
Hyperparameter Tuning for Machine and Deep Learning with R
Medium Voltage Energy Cable Diagnostics – Service Provider Experiences and Diagnostic Information System
Experimental Algorithmics Applied to On-line Machine Learning
Building Ensembles of Surrogates by Optimal Convex Combination
Experimental Research in Evolutionary Computation
Simulation-based Test Functions for Optimization Algorithms
Ein experimenteller Vergleich von Batch- und Online Machine Learning-Algorithmen
SPOT Applied to Non-Stochastic Optimization Problems
Comparison of Parallel Surrogate-Assisted Optimization Approaches
Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic
UniFIeD Univariate Frequency-Based Imputation for Time Series Data
Effect of SMS-EMOA Parameterizations on Hypervolume Decreases
Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning
Statistical Analysis of Optimization Algorithms With R
Does Imputation Work for Improvement of Domestic Hot Water Usage Prediction?
Is Social Learning More than Parameter Tuning?
Weighted Ensembles in Model-Based Global Optimization
A Multiobjective Approach to Classification in Drug Discovery
EASD-experimental Algorithmics for Streaming Data
Optimization of High-dimensional Simulation Models Using Synthetic Data
Open-Source-Software für Online Machine Learning
In a Nutshell -- The Sequential Parameter Optimization Toolbox
High-Performance Simulation-Based Optimization
Many-Criteria Optimization and Decision Analysis
Leveraging Potentials of Local and Global Models for Water Demand Forecasting
Optimization of Support Vector Regression Models for Stormwater Prediction
Data-Driven Problem Classification and Algorithm Selection for Injection Molding Optimization
Tuning Search Algorithms for Real-World Applications
Systematic Analyses of Multi-Objective Evolutionary Algorithms Applied to Real-World Problems Using Statistical Design of Experiments
Uncertainty Management Using Sequential Parameter Optimization
A New Taxonomy of Global Optimization Algorithms
Desirabilitiy Functions in Multicriteria Optimization Observations made while Implementing desiRe
Optimization of the Cyclone Separator Geometry via Multimodel Simulation
Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data
Learning Model-Ensemble Policies with Genetic Programming
Model-Based Evolutionary Algorithm for Optimization of Gas Distribution Systems in Power Plant Electrostatic Precipitators
Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems
Multi-fidelity Modeling and Optimization of Biogas Plants
Institut für Data Science, Engineering, and Analytics - Bartz-Beielstein, Thomas, Prof. Dr.
Optimal Elevator Group Control by Evolution Strategies
Tuning and Experimental Analysis in Evolutionary Computation
Surrogate-Assisted Partial Order-Based Evolutionary Optimisation
Comparison of different Methods for Univariate Time Series Imputation in R
Single- and Multi-objective Game-benchmark for Evolutionary Algorithms
Patterns for Cross-device Communication in a Blended Space for Innovation
An Empirical Approach for Probing the Definiteness of Kernels
Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments
Evolution Strategies and Threshold Selection
Simulation and Optimization of Cyclone Dust Separators
Clustering Based Niching for Genetic Programming in the R Environment
Simplifying Hyperparameter Tuning in Online Machine Learning
Metamodel-based Optimization of Hot Rolling Processes in the Metal Industry
Autonomous Generation of Observation Schedules for Tracking Satellites with Structured-Chromosome GA Optimisation
Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms
Methods to Characterize the Behaviour of Optimization Algorithms
CIMO - CI-basierte Mehrkriterielle Optimierungsverfahren für Anwendungen in der Industrie
Non-Monotonicity of Observed Hypervolume in 1-Greedy S-Metric Selection
Noisy Optimization with Sequential Parameter Optimization and Optimal Computational Budget Allocation
Iterative Oblique Decision Trees Deliver Explainable RL Models
Besondere Anforderungen an OML-Verfahren
MCIOP - Mehrkriterielle CI-basierte Optimierungsverfahren für den industriellen Einsatz
Optimally Weighted Ensembles of Regression Models
An Empirical Approach For Probing the Definiteness of Kernels
Identifying Properties of Real-World Optimisation Problems through a Questionnaire
Analyzing Capabilities of Latin Hypercube Designs Compared to Classical Experimental Design Methods
Variable Reduction for Surrogate-Based Optimization
Ein experimenteller Vergleich von Batch- und Online-Machine-Learning-Algorithmen
Evolutionary Multi-Criterion Optimization
A Gentle Introduction to Sequential Parameter Optimization
Vor-Ort Diagnose von Mittelspannungskabeln – Felderfahrungen und Potenziale moderner Informationssysteme
Conditional Inference Trees for the Knowledge Extraction from Motor Health Condition Data
Online Machine Learning and Surrogate-Model-Based Optimization for Improved Production Processes Using a Cognitive Architecture
Feature Selection for Surrogate Model-Based Optimization
Demonstrating the Feasibility of Automatic Game Balancing
Structural Health Monitoring von Faserverbundstrukturen mittels Piezosensoren
Fakultät für Informatik und Ingenieurwissenschaften
Design and Analysis of Optimization Algorithms Using Computational Statistics
Can Social Learning Increase Learning Speed, Performance or Both?
Tuning and Evolution of Support Vector Kernels
Investigating Uncertainty Propagation in Surrogate-assisted Evolutionary Algorithms
Sequential Parameter Optimization for Symbolic Regression
Co-Optimizing for Task Performance and Energy Efficiency in Evolvable Robots
Distance Measures for Permutations in Combinatorial Efficient Global Optimization
Care-focused, AI-driven Resource center for Moderation of Expertise
Conditional Inference Trees for Knowledge Extraction from Motor Health Condition Data
An Introduction to Many-Objective Evolutionary Optimization
Dominance-Based Variable Analysis for Large-Scale Multi-Objective Problems
A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity
Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition
BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments
Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools
Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes
The Sequential Parameter Optimization Toolbox
SPOT: A Toolbox for Interactive and Automatic Tuning in the R Environment
Initial Selection and Subsequent Updating of OML Models
Special Requirements for Online Machine Learning Methods
Sequential Model-Based Parameter Optimisation
Sequential Parameter Optimization for Mixed-Discrete Problems
How Experimental Algorithmics Can Benefit from Mayo’s Extensions to Neyman–Pearson Theory of Testing
Introduction to Many-Criteria Optimization and Decision Analysis
Initiale Auswahl und nachträgliche Aktualisierung von OML-Modellen
Comparison of Reference- and Hypervolume-Based MOEA on Solving Many-Objective Optimization Problems
A Data Literacy Competence Model for Higher Education and Research
Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation
Towards Game-Playing AI Benchmarks via Performance Reporting Standards
TH Köln - Künstliche Intelligenz^plus (Anteil TBB / AR)
A Survey of Model-based Methods for Global Optimization
Deconstructing Deep Imbalanced Regression: A Comprehensive Review and Experimental Evaluation
Parallel Problem Solving from Nature - PPSN XIII
Parallelized Bayesian Optimization for Expensive Robot Controller Evolution
Technical Report: Flushing Strategies in Drinking Water Systems
Cognitive Architecture for Artificial Intelligence
Benchmarking Evolutionary Multiobjective Optimization Algorithms
A Gentle Introduction to Multi-Criteria Optimization with SPOT
Surrogate-Assisted Learning of Neural Networks
Multiobjective Optimization for Interwoven Systems
Ensemble-Based Model Selection for Smart Metering Data
Forschendes Lernen - vom Bachelor zur Promotion in den Ingenieurswissenschaften
Multi-Objective Evolutionary Design of Mold Temperature Control Using DACE for Parameter Optimization
Modeling and Calibration of Robust Gas Sensors
Experimental Investigation and Evaluation of Model-Based Hyperparameter Optimization
Experimental Methods for the Analysis of Optimization Algorithms
Computing on High Performance Clusters with R: Packages BatchJobs and BatchExperiments
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic
Multi-Criteria Optimization for Hard Problems under Limited Budgets
A Comparative Pronunciation Mapping Approach using G2P Conversion for Anglicisms in German Speech Recognition
Forschendes Lernen – vom Bachelor zur Promotion in den Ingenieurwissenschaften
Expensive Optimisation Exemplified by ECG Simulator Parameter Tuning
Entwicklung von KI Methoden für die HCF-Auswertung schwingender Systeme
Institut für Data Science, Engineering, and Analytics - Zühlke, Dietlind, Prof. Dr.
High-Order Punishment and the Evolution of Cooperation
Cooperative-Coevolution-CMA-ES with Two-Stage Grouping
Thresholding-a Selection Operator for Noisy ES
CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems
Preliminary Spacecraft Design by Means of Structured-Chromosome Genetic Algorithms
PyTorch Hyperparameter Tuning – A Tutorial for SpotPython
Sensor Placement for Contamination Detection in Water Distribution Systems
Mehrkriterielle sequentielle Parameteroptimierung für Anwendungs-Probleme mit stark limitiertem Budget
A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms Using the Principles of Severity
Ensemble Based Optimization and Tuning Algorithms
FIWA - Methoden der Computational Intelligence für Vorhersagemodelle in der Finanz-und Wasserwirtschaft (Schlussbericht)
Bias-Correction of Satellite Rainfall Estimates Through the Use of Metamodels using Gaussian Process and Bayesian Regression.
A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesperson Problem
Sequential Parameter Optimization in Noisy Environments
Open-Source Software for Online Machine Learning
Initiale Auswahl und nachträgliche Aktualisierung von OML Modellen
Parameterselektion für komplexe Modellierungsaufgaben der Wasserwirtschaft
Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels
Analysis of Modular CMA-ES on Strict Box-Constrained Problems in the SBOX-COST Benchmarking Suite
Automatic and Interactive Tuning of Algorithms
Optimierte Modellierung von Füllständen in Regenüberlaufbecken mittels CI-basierter ParameterselektionOptimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes
Evaluation of Cognitive Architectures for Cyber-Physical Production Systems
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming
Investigating the Effect of Color Stimuli on Player Emotions in Games
A New Taxonomy of Continuous Global Optimization Algorithms
Parallelized Bayesian Optimization for Problems with Expensive Evaluation Functions
Modellgestützter Evolutionärer Algorith­mus zur Optimierung von Gasverteilsystemen in Elektroabscheidern von Kohlekraftwerken
Boosting Parameter-Tuning Efficiency with Adaptive Experimental Designs
Trinkwassersicherheit mit Predictive Analytics und Oracle
A Framework for the Empirical Analysis of Genetic Programming System Performance
Understanding the Behavior of Reinforcement Learning Agents
Optimization of Biogas Production with Computational Intelligence a Comparative Study
Algorithm Selection based on Exploratory Landscape Analysis and Cost-Sensitive Learning
An Experimental Comparison of Batch and Online Machine Learning Algorithms
Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness
Einsatz künstlicher Intelligenz in der Bedarfsplanung im Gesundheitswesen, hier in der Bedarfsplanung von Intensivbetten im Pandemiefall
Building Ensembles of Surrogate Models by Optimal Convex Combination (Preprint)
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features
Hyperparameter Tuning and Optimization Applications
Online Versus Batch Retraining in One-Step-Ahead Urban Water Demand Forecasting under Concept Drift
Multi-Objective Optimization and Hyperparameter Tuning with Desirability Functions
Analyzing the BBOB Results by Means of Benchmarking Concepts
Design of Evolutionary Algorithms and Applications in Surface Reconstruction
Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic
Efficient Global Optimization with Indefinite Kernels
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games
Elevator Group Control as a Constrained Multiobjective Optimization Problem
Hybrid Variable Selection and Support Vector Regression for Gas Sensor Optimization
Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution
Modelling Zero-inflated Rainfall Data through the Use of Gaussian Process and Bayesian Regression
The Impact of Group Reputation in Multiagent Environments
Architektur und Transport: Seillose, lineare Aufzüge und Künstliche Intelligenz
Particle Swarm Optimization and Sequential Sampling in Noisy Environments
Comparing SPO-Tuned GP and NARX Prediction Models for Stormwater Tank Fill Level Prediction
Proceedings of the 21st International Multiconference INFORMATION SOCIETY – IS 2018
Do Hypervolume Regressions hinder EMOA Performance? Surprise and Relief
Optimally Weighted Ensembles in Model-Based Regression for Drug Discovery
Stochastic Satellite Tracking with Constrained Budget via Structured-Chromosome Genetic Algorithms
Investigation of One-Go Evolution Strategy/Quasi-Newton Hybridizations
A new Taxonomy of Continuous Global Optimization Algorithms
Behavior-Based Neuroevolutionary Training in Reinforcement Learning
Distance-based Kernels for Surrogate Model-based Neuroevolution
Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots
Tuning Multi-Objective Optimization Algorithms for Cyclone Dust Separators
A Novel Dynamic Multi-criteria Ensemble Selection Mechanism Applied to Drinking Water Quality Anomaly Detection
EventDetectR-An Open-Source Event Detection System
Preference-Based Multi-Objective Particle Swarm Optimization using Desirabilities
A Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets
Exploring the Reliability of SHAP Values in Reinforcement Learning
Trinkwasser-Sicherheit mit Predictive Analytics und Oracle
Report on the Second Workshop on Simulations for Information Access (Sim4IA 2025) at SIGIR 2025
Practical Applications of Online Machine Learning
Model-based Methods for Continuous and Discrete Global Optimization
Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels
Structural Health Monitoring for Resource
Efficient Global Optimization for Combinatorial Problems
Evolutionary Algorithms for the Optimization of Simulation Models Using PVM
A Case Study on the Use of Statistical Classification Methods in Particle Physics
Identifying Properties of Real-World Optimisation Problems Through a Questionnaire
Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm
Optimizing Door Assignment in LTL-Terminals by Evolutionary Multiobjective Algorithms
Refining the CC-RDG3 Algorithm with Increasing Population Scheme and Persistent Covariance Matrix
Machine Learning Forecasting of Daily Delivery Positions
European ECS industry sovereignty and manufacturing independence through perfecting programmable ECS for automobiles
Stacked Generalization of Surrogate Models - A Practical Approach
Surrogate Assisted Learning of Neural Networks
Potential Complex Optimisation Problems in Science and Industry
On the Distribution of EMOA Hypervolumes
Meaningful Problem Instances and Generalizable Results
High-Lift Devices Topology Optimisation using Structured-Chromosome Genetic Algorithm
Structured-chromosome GA Optimisation for Satellite Tracking
Entwicklung eines interoperablen Tools zur Lebensdauervorhersage für Heizelemente in korrosiver Umgebung mittels KI-Methoden in Prozessmodellen für die Thermoprozessindustrie
Model-Assisted Multi-Criteria Tuning of an Event Detection Software under Limited Budgets
RDF description of Institut für Data Science, Engineering, and Analytics - https://fis.th-koeln.de/vivo/individual/11000300
Validation and Optimization of an Elevator Simulation Model with Modern Search Heuristics
Variablenreduktion für Surrogat-Modell basierte Optimierung
Entwicklung zuverlässiger KI-basierter virtueller Sensoren für Kraftfahrzeuge, mit Fokus auf Genauigkeit und Robustheit
Case Study I: Tuning Random Forest (Ranger)
Surrogate Assisted Optimization of Particle Reinforced Metal Matrix Composites
On Benchmarking Surrogate-assisted Evolutionary Algorithms
Particle Swarm Optimizers for Pareto Optimization with Enhanced Archiving Techniques
On the Effects of Simulating Human Decisions in Game Analysis
Resource Planning for Hospitals under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis
How to Create Meaningful and Generalizable Results
Variants of Knowledge-based Chatbots in Family Caregiving