Investigating the Effect of Color Stimuli on Player Emotions in Games
Reinforcement Learning for Board Games: The Temporal Difference Algorithm
Der ISTQB "Certified Tester AI Testing" (CT-AI)
Equality Constraint Handling for Surrogate-assisted Constrained Optimization
Sample-based Rule Extraction for Explainable Reinforcement Learning
RDF description of Institut für Informatik - https://fis.th-koeln.de/vivo/individual/10000151
Digitalisierung im Controlling durch Blockchains?
Underrepresented Tones: Addressing Skin Bias in Medical Imaging for Eczema, Psoriasis, and Melanoma Detection Using CNNs
Final Adaptation Reinforcement Learning for N-Player Games
Service Integration and Management im Überblick
Optimierte Modellierung von Füllständen in Regenüberlaufbecken mittels CI-basierter ParameterselektionOptimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes
Institut für Informatik - Gaida, Daniel, Prof. Dr.
Iterative Oblique Decision Trees Deliver Explainable RL Models
Self-Adjusting Parameter Control for Surrogate-assisted Constrained Optimization under Limited Budgets
Living Labs for Academic Search at CLEF 2020
Intelligent Automation and IT for the Optimization of Renewable Energy and Wastewater Treatment Processes
Living Lab Evaluation for Life and Social Sciences Search Platforms
Temporal Convolutional Autoencoder for Unsupervised Anomaly Detection in Time Series
SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF
Online Anomaly Detection on the Webscope S5 dataset
SPOT: A Toolbox for Interactive and Automatic Tuning in the R Environment
A New Repair Method For Constrained Optimization
Comparing SPO-Tuned GP and NARX Prediction Models for Stormwater Tank Fill Level Prediction
Multi-fidelity Modeling and Optimization of Biogas Plants
Overview of LiLAS 2020 - Living Labs for Academic Search Workshop Lab
Online Adaptable Learning Rates for the Game Connect-4
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time
Fakultät für Informatik und Ingenieurwissenschaften
Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus
Kontinuant
Continuant
A Bias Compensated Cross-relation Approach to Thermocouple Characterisation
Tuning and Evolution of Support Vector Kernels
Instrumentation and Control of Anaerobic Digestion Processes: a Review and Some Research Challenges
The GBG Class Interface Tutorial: General Board Game Playing and Learning
Predicting Organic Acid Concentration from UV/vis Spectrometry Measurements – A Comparison of Machine Learning Techniques
Clustering Based Niching for Genetic Programming in the R Environment
Datengetriebene Prozessbewertung und -optimierung in der Logistik
Overview of LiLAS 2021 - Living Labs for Academic Search
Surrogate-Assisted Optimization for Augmentation of Finite Element Techniques
Reinforcement Learning for N-player Games
Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions
Entität
Entity
Are some Prices more Equal than Others? Evaluating Store-Based Price Differentiation
Organization units
Organisationseinheiten
Exploring the Reliability of SHAP Values in Reinforcement Learning
COD and NH4-N estimation in the inflow of Wastewater Treatment Plants using Machine Learning Techniques
Integrationsstrategien für Cyber-Physikalische Systeme
How to Solve the Dilemma of Margin-Based Equality Handling Methods
Time Series Encodings with Temporal Convolutional Networks
Test, Analyse und Verifikation von Software
Organic Acid Prediction in Biogas Plants Using UV/vis Spectroscopic Online-Measurements
A Decision Tree Approach for the Classification of Mistakes of Students Learning SQL, a Case Study about SELECT Statements
Organisation
Organization
ChatGPT Code Detection: Techniques for Uncovering the Source of Code
Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks
The rCMA Tutorial: Examples for using CMA-ES in R
Connect-4 Game Playing Framework (C4GPF)
Interdisziplinäre Kommunikation in der projektorientierten Lehre
Proceedings of the 19th European Conference on Pattern Languages of Programs
Institut für Informatik - Groten, Raphaela, Prof. Dr.
Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning
Institut für Informatik - Konen, Wolfgang, Prof. Dr.
BCDM - A Decision and Operation Model for Blockchains
General Board Game Playing as Educational Tool for AI Competition and Learning
An Advanced Simulation Model for Membrane Bioreactors
Noisy Optimization with Sequential Parameter Optimization and Optimal Computational Budget Allocation
Overcoming Challenges for Implementing Nature-Based Solutions in Deltaic Environments: Insights from the Ganges-Brahmaputra Delta in Bangladesh
Fingerprint Surface-based Detection of Web Bot Detectors
Dynamische Echtzeit-Optimierung der Substratzufuhr für anaerobe Co-Vergärungsanlagen
Evaluation Infrastructures for Academic Shared Tasks
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments
Akteur
Agent
Dear Researchers: The Craft That I Have Practiced for the Last Twenty Years no Longer Exists: What Happens When AI Agents Become Operational Actors in Software Engineering?
Constraint Handling in Efficient Global Optimization
Parameterselektion für komplexe Modellierungsaufgaben der Wasserwirtschaft
SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning
Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation
SVM Ensembles Are Better When Different Kernel Types Are Combined
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning
Ensemble Based Optimization and Tuning Algorithms
State Estimation for Anaerobic Digesters using the ADM1
Optimization of Biogas Production with Computational Intelligence a Comparative Study
Optimizing Anaerobic Co-digestion Plants
Illumination-invariant Image Mosaic Calculation based on Logarithmic Search
Online Selection of Surrogate Models for Constrained Black-box Optimization
Deep Learning in Resource and Data Constrained Edge Computing Systems
Overview of LiLAS 2020 - Living Labs for Academic Search
Institut für Informatik - Zapp, Matthias, Prof. Dr.-Ing.
Optimization of Support Vector Regression Models for Stormwater Prediction
Repräsentations-, Reinforcement- und Regel-Lernen: Transparente Entscheidungsfindung durch erklärbare KI-Modelle
Efficient Multi-criteria Optimization on Noisy Machine Learning Problems
Optimierung von kundenorientierten Geschäftsprozessen unter Anwendung von Methoden des Kundenkontaktpunktmanagements
Unabhängiger Kontinuant
Independent Continuant
Solving Optimization Problems With High Conditioning by Means of Online Whitening
Shepherd: a Generic Approach to Automating Website Login
Comparing Kriging and Radial Basis Function Surrogates
Teaching Business Process Automation in a Learning Factory
Verbundvorhaben: Intelligenter Virtueller Betriebsassistent zur Optimierung landwirtschaftlicher Biogasanlagen durch ein Large Multimodal Model; Teilvorhaben 1: Virtueller Betriebsassistent (Agent, modellbasierte prädiktive Regelung)
General Board Game Playing for Education and Research in Generic AI Game Learning
Feed Control of Anaerobic Digestion Processes for Sustainable Renewable Energy Production
Nonlinear Model Predictive Substrate Feed Control of Biogas Plants