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- Connect-4 Game Playing Framework (C4GPF)
- Final Adaptation Reinforcement Learning for N-Player Games
- General Board Game Playing as Educational Tool for AI Competition and Learning
- Illumination-invariant Image Mosaic Calculation based on Logarithmic Search
- Multi-fidelity Modeling and Optimization of Biogas Plants
- Reinforcement Learning for Board Games: The Temporal Difference Algorithm
- Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus
- SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning
- Teaching Business Process Automation in a Learning Factory
- The GBG Class Interface Tutorial V2.2
- The GBG Class Interface Tutorial V2.3
- The TDMR 2.0 Package
- The TDMR 2.0 Tutorial
- The rCMA Tutorial: Examples for using CMA-ES in R
- Datengetriebene Prozessbewertung und -optimierung in der Logistik
- Interdisziplinäre Kommunikation in der projektorientierten Lehre
- A Bias Compensated Cross-relation Approach to Thermocouple Characterisation
- AlphaZero-Inspired Game Learning
- AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time
- An Advanced Simulation Model for Membrane Bioreactors
- Betreutes Auslagern
- ChatGPT Code Detection: Techniques for Uncovering the Source of Code
- Die CO2-Kosten des Video-Streaming
- Digitalisierung im Controlling durch Blockchains?
- Dynamische Echtzeit-Optimierung der Substratzufuhr für anaerobe Co-Vergärungsanlagen
- Efficient Multi-criteria Optimization on Noisy Machine Learning Problems
- Evaluation Infrastructures for Academic Shared Tasks
- Feed Control of Anaerobic Digestion Processes for Sustainable Renewable Energy Production
- Final Adaptation Reinforcement Learning for N-Player Games
- Instrumentation and Control of Anaerobic Digestion Processes: a Review and Some Research Challenges
- Intelligent Automation and IT for the Optimization of Renewable Energy and Wastewater Treatment Processes
- Iterative Oblique Decision Trees Deliver Explainable RL Models
- Multi-fidelity Modeling and Optimization of Biogas Plants
- Online Adaptable Learning Rates for the Game Connect-4
- Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions
- Optimierte Modellierung von Füllständen in Regenüberlaufbecken mittels CI-basierter ParameterselektionOptimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes
- Optimierung von kundenorientierten Geschäftsprozessen unter Anwendung von Methoden des Kundenkontaktpunktmanagements
- Optimizing Anaerobic Co-digestion Plants
- Overcoming Challenges for Implementing Nature-Based Solutions in Deltaic Environments: Insights from the Ganges-Brahmaputra Delta in Bangladesh
- Predicting Organic Acid Concentration from UV/vis Spectrometry Measurements – A Comparison of Machine Learning Techniques
- Schichtenmodell
- Self-Adjusting Parameter Control for Surrogate-assisted Constrained Optimization under Limited Budgets
- State Estimation for Anaerobic Digesters using the ADM1
- Surrogate-Assisted Optimization for Augmentation of Finite Element Techniques
- Temporal Convolutional Autoencoder for Unsupervised Anomaly Detection in Time Series
- Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning
- Tuning and Evolution of Support Vector Kernels
- A Decision Tree Approach for the Classification of Mistakes of Students Learning SQL, a Case Study about SELECT Statements
- Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks
- Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation
- Are some Prices more Equal than Others? Evaluating Store-Based Price Differentiation
- BCDM - A Decision and Operation Model for Blockchains
- COD and NH4-N estimation in the inflow of Wastewater Treatment Plants using Machine Learning Techniques
- Clustering Based Niching for Genetic Programming in the R Environment
- Comparing Kriging and Radial Basis Function Surrogates
- Comparing SPO-Tuned GP and NARX Prediction Models for Stormwater Tank Fill Level Prediction
- Constraint Handling in Efficient Global Optimization
- Deep Learning in Resource and Data Constrained Edge Computing Systems
- Ensemble Based Optimization and Tuning Algorithms
- Equality Constraint Handling for Surrogate-assisted Constrained Optimization
- Exploring the Reliability of SHAP Values in Reinforcement Learning
- General Board Game Playing for Education and Research in Generic AI Game Learning
- HLISA
- How Gullible are Web Measurement Tools?
- How to Solve the Dilemma of Margin-Based Equality Handling Methods
- Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments
- Investigating the Effect of Color Stimuli on Player Emotions in Games
- Living Lab Evaluation for Life and Social Sciences Search Platforms
- Living Labs for Academic Search at CLEF 2020
- Noisy Optimization with Sequential Parameter Optimization and Optimal Computational Budget Allocation
- Nonlinear Model Predictive Substrate Feed Control of Biogas Plants
- Online Selection of Surrogate Models for Constrained Black-box Optimization
- Optimization of Biogas Production with Computational Intelligence a Comparative Study
- Optimization of Support Vector Regression Models for Stormwater Prediction
- Organic Acid Prediction in Biogas Plants Using UV/vis Spectroscopic Online-Measurements
- Overview of LiLAS 2020 - Living Labs for Academic Search
- Overview of LiLAS 2021
- Overview of LiLAS 2021 - Living Labs for Academic Search
- Overview of TREC OpenSearch 2017
- Parameter-Tuned Data Mining
- Parameterselektion für komplexe Modellierungsaufgaben der Wasserwirtschaft
- Reinforcement Learning
- Reinforcement Learning for Games
- Reinforcement Learning for N-player Games
- SPOT: A Toolbox for Interactive and Automatic Tuning in the R Environment
- STELLA
- Sample-based Rule Extraction for Explainable Reinforcement Learning
- Shepherd: a Generic Approach to Automating Website Login
- Solving Optimization Problems With High Conditioning by Means of Online Whitening
- Time Series Encodings with Temporal Convolutional Networks
- Tuned Data Mining
- Tuned Data Mining in R
- Underrepresented Tones: Addressing Skin Bias in Medical Imaging for Eczema, Psoriasis, and Melanoma Detection Using CNNs
- Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning
- Meaningful Acoustics for Board Games
- Overview of LiLAS 2020 - Living Labs for Academic Search Workshop Lab
- Personal AcCompanion AI
- Digitaler Retrofit
- Programmieren lernen mit Kotlin
- Programmieren lernen mit Kotlin
- The GBG Class Interface Tutorial V2.0
- The GBG Class Interface Tutorial: General Board Game Playing and Learning
- A New Repair Method For Constrained Optimization
- Online Anomaly Detection on the Webscope S5 dataset
- SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF
- SVM Ensembles Are Better When Different Kernel Types Are Combined
- Service Integration and Management im Überblick
- Service Integration and Management im Überblick
Projektleitung aus dieser Einrichtung
- Verbundvorhaben: Intelligenter Virtueller Betriebsassistent zur Optimierung landwirtschaftlicher Biogasanlagen durch ein Large Multimodal Model; Teilvorhaben 1: Virtueller Betriebsassistent (Agent, modellbasierte prädiktive Regelung); Gaida Daniel; Bundesministerium für Ernährung und Landwirtschaft
- Softwaretest-Umfrage 2024; Winter Mario; Hochschule Bremerhaven
- Repräsentations-, Reinforcement- und Regel-Lernen: Transparente Entscheidungsfindung durch erklärbare KI-Modelle; Konen Wolfgang; Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen
- Connect-4 Game Playing Framework (C4GPF)
- Final Adaptation Reinforcement Learning for N-Player Games
- General Board Game Playing as Educational Tool for AI Competition and Learning
- Illumination-invariant Image Mosaic Calculation based on Logarithmic Search
- Multi-fidelity Modeling and Optimization of Biogas Plants
- Reinforcement Learning for Board Games: The Temporal Difference Algorithm
- Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus
- SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning
- Teaching Business Process Automation in a Learning Factory
- The GBG Class Interface Tutorial V2.2
- The GBG Class Interface Tutorial V2.3
- The TDMR 2.0 Package
- The TDMR 2.0 Tutorial
- The rCMA Tutorial: Examples for using CMA-ES in R
- Datengetriebene Prozessbewertung und -optimierung in der Logistik
- Interdisziplinäre Kommunikation in der projektorientierten Lehre
- A Bias Compensated Cross-relation Approach to Thermocouple Characterisation
- AlphaZero-Inspired Game Learning
- AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time
- An Advanced Simulation Model for Membrane Bioreactors
- Betreutes Auslagern
- ChatGPT Code Detection: Techniques for Uncovering the Source of Code
- Die CO2-Kosten des Video-Streaming
- Digitalisierung im Controlling durch Blockchains?
- Dynamische Echtzeit-Optimierung der Substratzufuhr für anaerobe Co-Vergärungsanlagen
- Efficient Multi-criteria Optimization on Noisy Machine Learning Problems
- Evaluation Infrastructures for Academic Shared Tasks
- Feed Control of Anaerobic Digestion Processes for Sustainable Renewable Energy Production
- Final Adaptation Reinforcement Learning for N-Player Games
- Instrumentation and Control of Anaerobic Digestion Processes: a Review and Some Research Challenges
- Intelligent Automation and IT for the Optimization of Renewable Energy and Wastewater Treatment Processes
- Iterative Oblique Decision Trees Deliver Explainable RL Models
- Multi-fidelity Modeling and Optimization of Biogas Plants
- Online Adaptable Learning Rates for the Game Connect-4
- Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions
- Optimierte Modellierung von Füllständen in Regenüberlaufbecken mittels CI-basierter ParameterselektionOptimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes
- Optimierung von kundenorientierten Geschäftsprozessen unter Anwendung von Methoden des Kundenkontaktpunktmanagements
- Optimizing Anaerobic Co-digestion Plants
- Overcoming Challenges for Implementing Nature-Based Solutions in Deltaic Environments: Insights from the Ganges-Brahmaputra Delta in Bangladesh
- Predicting Organic Acid Concentration from UV/vis Spectrometry Measurements – A Comparison of Machine Learning Techniques
- Schichtenmodell
- Self-Adjusting Parameter Control for Surrogate-assisted Constrained Optimization under Limited Budgets
- State Estimation for Anaerobic Digesters using the ADM1
- Surrogate-Assisted Optimization for Augmentation of Finite Element Techniques
- Temporal Convolutional Autoencoder for Unsupervised Anomaly Detection in Time Series
- Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning
- Tuning and Evolution of Support Vector Kernels
- A Decision Tree Approach for the Classification of Mistakes of Students Learning SQL, a Case Study about SELECT Statements
- Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks
- Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation
- Are some Prices more Equal than Others? Evaluating Store-Based Price Differentiation
- BCDM - A Decision and Operation Model for Blockchains
- COD and NH4-N estimation in the inflow of Wastewater Treatment Plants using Machine Learning Techniques
- Clustering Based Niching for Genetic Programming in the R Environment
- Comparing Kriging and Radial Basis Function Surrogates
- Comparing SPO-Tuned GP and NARX Prediction Models for Stormwater Tank Fill Level Prediction
- Constraint Handling in Efficient Global Optimization
- Deep Learning in Resource and Data Constrained Edge Computing Systems
- Ensemble Based Optimization and Tuning Algorithms
- Equality Constraint Handling for Surrogate-assisted Constrained Optimization
- Exploring the Reliability of SHAP Values in Reinforcement Learning
- General Board Game Playing for Education and Research in Generic AI Game Learning
- HLISA
- How Gullible are Web Measurement Tools?
- How to Solve the Dilemma of Margin-Based Equality Handling Methods
- Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments
- Investigating the Effect of Color Stimuli on Player Emotions in Games
- Living Lab Evaluation for Life and Social Sciences Search Platforms
- Living Labs for Academic Search at CLEF 2020
- Noisy Optimization with Sequential Parameter Optimization and Optimal Computational Budget Allocation
- Nonlinear Model Predictive Substrate Feed Control of Biogas Plants
- Online Selection of Surrogate Models for Constrained Black-box Optimization
- Optimization of Biogas Production with Computational Intelligence a Comparative Study
- Optimization of Support Vector Regression Models for Stormwater Prediction
- Organic Acid Prediction in Biogas Plants Using UV/vis Spectroscopic Online-Measurements
- Overview of LiLAS 2020 - Living Labs for Academic Search
- Overview of LiLAS 2021
- Overview of LiLAS 2021 - Living Labs for Academic Search
- Overview of TREC OpenSearch 2017
- Parameter-Tuned Data Mining
- Parameterselektion für komplexe Modellierungsaufgaben der Wasserwirtschaft
- Reinforcement Learning
- Reinforcement Learning for Games
- Reinforcement Learning for N-player Games
- SPOT: A Toolbox for Interactive and Automatic Tuning in the R Environment
- STELLA
- Sample-based Rule Extraction for Explainable Reinforcement Learning
- Shepherd: a Generic Approach to Automating Website Login
- Solving Optimization Problems With High Conditioning by Means of Online Whitening
- Time Series Encodings with Temporal Convolutional Networks
- Tuned Data Mining
- Tuned Data Mining in R
- Underrepresented Tones: Addressing Skin Bias in Medical Imaging for Eczema, Psoriasis, and Melanoma Detection Using CNNs
- Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning
- Meaningful Acoustics for Board Games
- Overview of LiLAS 2020 - Living Labs for Academic Search Workshop Lab
- Personal AcCompanion AI
- Digitaler Retrofit
- Programmieren lernen mit Kotlin
- Programmieren lernen mit Kotlin
- The GBG Class Interface Tutorial V2.0
- The GBG Class Interface Tutorial: General Board Game Playing and Learning
- A New Repair Method For Constrained Optimization
- Online Anomaly Detection on the Webscope S5 dataset
- SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF
- SVM Ensembles Are Better When Different Kernel Types Are Combined
- Service Integration and Management im Überblick
- Service Integration and Management im Überblick
Projektleitung aus dieser Einrichtung
- Verbundvorhaben: Intelligenter Virtueller Betriebsassistent zur Optimierung landwirtschaftlicher Biogasanlagen durch ein Large Multimodal Model; Teilvorhaben 1: Virtueller Betriebsassistent (Agent, modellbasierte prädiktive Regelung); Gaida Daniel; Bundesministerium für Ernährung und Landwirtschaft
- Softwaretest-Umfrage 2024; Winter Mario; Hochschule Bremerhaven
- Repräsentations-, Reinforcement- und Regel-Lernen: Transparente Entscheidungsfindung durch erklärbare KI-Modelle; Konen Wolfgang; Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen