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RDF description of Institut für Informatik - https://fis.th-koeln.de/vivo/individual/10000151
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments
Final Adaptation Reinforcement Learning for N-Player Games
Institut für Informatik - Gaida, Daniel, Prof. Dr.
Multi-fidelity Modeling and Optimization of Biogas Plants
Comparing SPO-Tuned GP and NARX Prediction Models for Stormwater Tank Fill Level Prediction
Illumination-invariant Image Mosaic Calculation based on Logarithmic Search
Ensemble Based Optimization and Tuning Algorithms
Overview of LiLAS 2021 - Living Labs for Academic Search
Service Integration and Management im Überblick
Overview of LiLAS 2020 - Living Labs for Academic Search
Living Lab Evaluation for Life and Social Sciences Search Platforms
Reinforcement Learning for N-player Games
Fakultät für Informatik und Ingenieurwissenschaften
Tuning and Evolution of Support Vector Kernels
Evaluation Infrastructures for Academic Shared Tasks
Self-Adjusting Parameter Control for Surrogate-assisted Constrained Optimization under Limited Budgets
Interdisziplinäre Kommunikation in der projektorientierten Lehre
Deep Learning in Resource and Data Constrained Edge Computing Systems
COD and NH4-N estimation in the inflow of Wastewater Treatment Plants using Machine Learning Techniques
General Board Game Playing as Educational Tool for AI Competition and Learning
Clustering Based Niching for Genetic Programming in the R Environment
Overcoming Challenges for Implementing Nature-Based Solutions in Deltaic Environments: Insights from the Ganges-Brahmaputra Delta in Bangladesh
The GBG Class Interface Tutorial: General Board Game Playing and Learning
Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus
Verbundvorhaben: Intelligenter Virtueller Betriebsassistent zur Optimierung landwirtschaftlicher Biogasanlagen durch ein Large Multimodal Model; Teilvorhaben 1: Virtueller Betriebsassistent (Agent, modellbasierte prädiktive Regelung)
Digitalisierung im Controlling durch Blockchains?
A New Repair Method For Constrained Optimization
BCDM - A Decision and Operation Model for Blockchains
Feed Control of Anaerobic Digestion Processes for Sustainable Renewable Energy Production
Organic Acid Prediction in Biogas Plants Using UV/vis Spectroscopic Online-Measurements
State Estimation for Anaerobic Digesters using the ADM1
Dynamische Echtzeit-Optimierung der Substratzufuhr für anaerobe Co-Vergärungsanlagen
Optimierung von kundenorientierten Geschäftsprozessen unter Anwendung von Methoden des Kundenkontaktpunktmanagements
SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF
Repräsentations-, Reinforcement- und Regel-Lernen: Transparente Entscheidungsfindung durch erklärbare KI-Modelle
Solving Optimization Problems With High Conditioning by Means of Online Whitening
An Advanced Simulation Model for Membrane Bioreactors
Institut für Informatik - Groten, Raphaela, Prof. Dr.
Optimierte Modellierung von Füllständen in Regenüberlaufbecken mittels CI-basierter ParameterselektionOptimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes
Parameterselektion für komplexe Modellierungsaufgaben der Wasserwirtschaft
A Decision Tree Approach for the Classification of Mistakes of Students Learning SQL, a Case Study about SELECT Statements
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning
Constraint Handling in Efficient Global Optimization
Intelligent Automation and IT for the Optimization of Renewable Energy and Wastewater Treatment Processes
Instrumentation and Control of Anaerobic Digestion Processes: a Review and Some Research Challenges
Optimization of Biogas Production with Computational Intelligence a Comparative Study
How to Solve the Dilemma of Margin-Based Equality Handling Methods
Living Labs for Academic Search at CLEF 2020
Institut für Informatik - Zapp, Matthias, Prof. Dr.-Ing.
ChatGPT Code Detection: Techniques for Uncovering the Source of Code
Institut für Informatik - Konen, Wolfgang, Prof. Dr.
Temporal Convolutional Autoencoder for Unsupervised Anomaly Detection in Time Series
Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation
Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions
Online Selection of Surrogate Models for Constrained Black-box Optimization
Efficient Multi-criteria Optimization on Noisy Machine Learning Problems
Nonlinear Model Predictive Substrate Feed Control of Biogas Plants
Optimizing Anaerobic Co-digestion Plants
Overview of LiLAS 2020 - Living Labs for Academic Search Workshop Lab
Are some Prices more Equal than Others? Evaluating Store-Based Price Differentiation
Datengetriebene Prozessbewertung und -optimierung in der Logistik
Sample-based Rule Extraction for Explainable Reinforcement Learning
A Bias Compensated Cross-relation Approach to Thermocouple Characterisation
Investigating the Effect of Color Stimuli on Player Emotions in Games
SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning
Optimization of Support Vector Regression Models for Stormwater Prediction
Noisy Optimization with Sequential Parameter Optimization and Optimal Computational Budget Allocation
SVM Ensembles Are Better When Different Kernel Types Are Combined
Time Series Encodings with Temporal Convolutional Networks
Comparing Kriging and Radial Basis Function Surrogates
The rCMA Tutorial: Examples for using CMA-ES in R
Predicting Organic Acid Concentration from UV/vis Spectrometry Measurements – A Comparison of Machine Learning Techniques
Surrogate-Assisted Optimization for Augmentation of Finite Element Techniques
Teaching Business Process Automation in a Learning Factory
Exploring the Reliability of SHAP Values in Reinforcement Learning
Connect-4 Game Playing Framework (C4GPF)
Online Adaptable Learning Rates for the Game Connect-4
Shepherd: a Generic Approach to Automating Website Login
General Board Game Playing for Education and Research in Generic AI Game Learning
Online Anomaly Detection on the Webscope S5 dataset
SPOT: A Toolbox for Interactive and Automatic Tuning in the R Environment
Iterative Oblique Decision Trees Deliver Explainable RL Models
Underrepresented Tones: Addressing Skin Bias in Medical Imaging for Eczema, Psoriasis, and Melanoma Detection Using CNNs
Reinforcement Learning for Board Games: The Temporal Difference Algorithm
Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks
Equality Constraint Handling for Surrogate-assisted Constrained Optimization
Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning