Proceedings – 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023

doi:10.58895/ksp/1000162754

Proceedings – 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023

Horst Schulte,

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Frank Hoffmann,

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Ralf Mikut (eds.)

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Dieser Tagungsband enthält die Beiträge des 33. Workshops „Computational Intelligence“ der vom 23.11. – 24.11.2023 in Berlin stattfindet. Die Schwerpunkte sind Methoden, Anwendungen und Tools für Fuzzy-Systeme, Künstliche Neuronale Netze, Evolutionäre Algorithmen und Data-Mining-Verfahren sowie der Methodenvergleich anhand von industriellen und Benchmark-Problemen.

The workshop proceedings contain the contributions of the 33rd workshop "Computational Intelligence" which will take place from 23.11. - 24.11.2023 in Berlin. The focus is on methods, applications and tools for Fuzzy systems, Artificial Neural Networks, Evolutionary algorithms and Data mining methods as well as the comparison of methods on the basis of industrial and benchmark problems.

Umfang: III, 269 S.

Preis: 45.00 €

Inhaltsverzeichnis

Cognitive Architecture for ArtificialIntelligence: Evaluating RealworldApplicability and the Significance of OnlineMachine Learning
Richard Schulz et al.
Active Learning for Regression Problemswith Ensemble Methods
Bjarne Jaster & Martin Kohlhase
AI-based automated active learning fordiscovery of hidden dynamic processes:A use case in light microscopy
Nils Friedrich et al.
Machine learning based model fitting conceptfor energy system components in energymanagement
Martin Winkelkotte et al.
Zum Einsatz von KI-Methoden zur Lösungvon Problemen der Regelungstechnik
Hanns Sommer & Andreas Kroll
Physical Interpretability of Data-Driven StateSpace Models
Hermann Klein et al.
Nonlinear Modeling and Control of 3-DOFGyroscope Actuated Furuta Pendulum byTakagi-Sugeno Fuzzy Systems
Johannes Brunner et al.
Data-driven identification of disturbancesusing a sliding mode observer
Ricarda-Samantha Götte et al.
Robust Training with Adversarial Exampleson Industrial Data
Julian Knaup et al.
An Intelligent Camera Tracking System forLive Stage Performances
Steffen Borchers-Tigasson & Erik Rodner
Simulation Model Calibration for ConditionMonitoring
Aleksandr Subbotin & Thomas Bartz-Beielstein
MLOps for Scarce Image Data: A Use Case inMicroscopic Image Analysis
Angelo Yamachui Sitcheu et al.
Machine Learning Forecasting of DailyDelivery Positions: A Modern Take onIndustrial Workforce Planning
Lukas Hans et al.
Adaptive video game music as amulti-objective benchmark for conditionalautoregressive models
Fabian Ostermann
Holistic Modeling of Ultra-High PerformanceConcrete Production Process: SynergizingMix Design, Fresh Concrete Properties, andCuring Conditions
Farzad Rezazadeh P. et al.
Modellierung der Raumluftfeuchtigkeit inhistorischen Gebäuden: Ein Vergleichdatengetriebener Methoden in der Praxis
Marcel Zehner et al.
Ein Jahr auf ländlichen Straßen: Aufnahmeeines multimodalen Datensatzes für dasautomatisierte Fahren
Franz Albers & Torsten Bertram

Fächer:

Maschinenbau und Verfahrenstechnik

Schlagwörter:

Modelling and Simulation Fuzzy Systems Artificial Intelligence Maschine Learning Modellierung und Simulation Computational Intelligence Fuzzy Systeme Künstliche Intelligenz Maschinelles Lernen

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Schulte, H et al. (eds.) 2023. Proceedings – 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000162754

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Proceedings – 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023

Horst Schulte,

Close

Frank Hoffmann,

Close

Ralf Mikut (eds.)

Close

Inhaltsverzeichnis

Cognitive Architecture for ArtificialIntelligence: Evaluating RealworldApplicability and the Significance of OnlineMachine Learning

Active Learning for Regression Problemswith Ensemble Methods

AI-based automated active learning fordiscovery of hidden dynamic processes:A use case in light microscopy

Machine learning based model fitting conceptfor energy system components in energymanagement

Zum Einsatz von KI-Methoden zur Lösungvon Problemen der Regelungstechnik

Physical Interpretability of Data-Driven StateSpace Models

Nonlinear Modeling and Control of 3-DOFGyroscope Actuated Furuta Pendulum byTakagi-Sugeno Fuzzy Systems

Data-driven identification of disturbancesusing a sliding mode observer

Robust Training with Adversarial Exampleson Industrial Data

An Intelligent Camera Tracking System forLive Stage Performances

Simulation Model Calibration for ConditionMonitoring

MLOps for Scarce Image Data: A Use Case inMicroscopic Image Analysis

Machine Learning Forecasting of DailyDelivery Positions: A Modern Take onIndustrial Workforce Planning

Adaptive video game music as amulti-objective benchmark for conditionalautoregressive models

Holistic Modeling of Ultra-High PerformanceConcrete Production Process: SynergizingMix Design, Fresh Concrete Properties, andCuring Conditions

Modellierung der Raumluftfeuchtigkeit inhistorischen Gebäuden: Ein Vergleichdatengetriebener Methoden in der Praxis