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