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Treffer: 136
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Sammelband
Schlüsselqualifikationen für Studium, Beruf und Gesellschaft : Technische Universitäten im Kontext der Kompetenzdiskussion
Caroline Y. Robertson-von Trotha (ed.)
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Sammelband
Frank Thissen, Daniela Gerhard, Michael Burmester (eds.)
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Monographie
Activity Tree Harvesting - Entdeckung, Analyse und Verwertung der Nutzungskontexte SCORM-konformer Lernobjekte
André Wiesner
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Monographie
Efficient Reinforcement Learning using Gaussian Processes
Marc Peter Deisenroth
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Sammelband
Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018
Ralf Mikut, Eyke Hüllermeier, Frank Hoffmann (eds.)
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Sammelband
Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020
Horst Schulte, Frank Hoffmann, Ralf Mikut (eds.)
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Monographie
Dynamics of Evolution and Learning
Ingo Paenke
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Sammelband
Proceedings – 30. Workshop Computational Intelligence : Berlin, 26. – 27. November 2020
Ralf Mikut, Frank Hoffmann, Horst Schulte (eds.)
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Monographie
Intelligentes Gesamtmaschinenmanagement für elektrische Antriebssysteme
Christian Pohlandt
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Sammelband
Proceedings of the 2018 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Jürgen Beyerer, Miro Taphanel (eds.)
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Sammelband
Proceedings – 32. Workshop Computational Intelligence: Berlin, 1. – 2. Dezember 2022
Ralf Mikut, Frank Hoffmann, Horst Schulte (eds.)
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Monographie
Andreas Geiger
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Sammelband
Proceedings – 31. Workshop Computational Intelligence : Berlin, 25. – 26. November 2021
Ralf Mikut, Frank Hoffmann, Horst Schulte (eds.)
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Sammelband
Die Notebook-Universität Karlsruhe (TH) NUKATH
Bernd Thum, Wilfried Juling, Peter Deussen (eds.)
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Monographie
Mediennutzungsgewohnheiten im Wandel : Ergebnisse einer Befragung zur studiumsbezogenen Mediennutzung
Gerd Gidion, Michael Grosch
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Monographie
Assistenzsysteme zur Reduktion des Schädigungsverhaltens von Komponenten einer mobilen Arbeitsmaschine
Lars Brinkschulte
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Monographie
Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont
Johannes Dornheim
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Sammelband
Proceedings of the 2021 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Tim Zander, Jürgen Beyerer (eds.)
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Monographie
Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving
Tobias Michael Kalb
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Monographie
Controlled self-organisation using learning classifier systems
Urban Maximilian Richter
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Monographie
Self-learning Anomaly Detection in Industrial Production
Ankush Meshram
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Monographie
Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields
Maximilian Schambach
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Monographie
Deep Learning based Vehicle Detection in Aerial Imagery
Lars Wilko Sommer
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Monographie
Self-Learning Longitudinal Control for On-Road Vehicles
Luca Puccetti
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Monographie
Adaptive Dynamic Programming: Solltrajektorienfolgeregelung und Konvergenzbedingungen
Florian Köpf
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Sammelband
Rolf Borgeest, Martin Gaedke (eds.)
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Monographie
Sebastian Blohm
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Monographie
Learning and Execution of Object Manipulation Tasks on Humanoid Robots
Mirko Wächter
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Monographie
Learning Dynamic Systems for Intention Recognition in Human-Robot-Cooperation
Peter Krauthausen
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Monographie
Machine Learning for Camera-Based Monitoring of Laser Welding Processes
Julia Hartung
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Monographie
Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy
Sarah Said
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Sammelband
Proceedings of the 2020 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Jürgen Beyerer, Tim Zander (eds.)
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Monographie
Entwicklung einer Methode zum Einsatz von Reinforcement Learning für die dynamische Fertigungsdurchlaufsteuerung
Oliver Lohse
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Monographie
Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen
Markus Tesar
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Monographie
Erkennung menschlicher Aktivitäten durch Erfassung und Analyse von Bewegungstrajektorien
Kristine Back
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Monographie
Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery
Darko Katić
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Monographie
Intelligent Business Process Optimization for the Service Industry
Markus Kress
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Monographie
Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data
Lanxiao Li
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Monographie
Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Stefan Scheubner
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Monographie
Organic traffic control
Holger Prothmann
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Monographie
Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors
Johannes Masino
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Monographie
GLEAM - General Learning Evolutionary Algorithm and Method : ein Evolutionärer Algorithmus und seine Anwendungen
Christian Blume, Wilfried Jakob
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Monographie
Design and Application of Quantified Self Approaches for Reflective Learning in the Workplace
Verónica Rivera Pelayo
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Monographie
Über lernende optische Inspektion am Beispiel der Schüttgutsortierung
Matthias Richter
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Sammelband
Forum Bildverarbeitung 2018
Michael Heizmann, Fernando Puente Leon, Thomas Langle (eds.)
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Monographie
Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning
Adam Thor Thorgeirsson
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Monographie
Personalised body counter calibration using anthropometric parameters
Stefan Pölz
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Monographie
Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
Yiming Sun
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Monographie
Human-Inspired Balancing and Recovery Stepping for Humanoid Robots
Lukas Sebastian Kaul
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Monographie
Fouad ben Nasr Omri
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Monographie
Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation
Stephan Puls
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Monographie
A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy
Jorge Patricio Sánchez Arciniegas
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Monographie
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction
Yannick Lingelbach
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Sammelband
Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024
Ralf Mikut, Frank Hoffmann, Horst Schulte (eds.)
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Monographie
Multiscale Cohort Modeling of Atrial Electrophysiology : Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms
Claudia Nagel
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Monographie
Probabilistische Vorhersage von Fahrstreifenwechseln für hochautomatisiertes Fahren auf Autobahnen
Andreas Weiser
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Sammelband
Proceedings of the 2016 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Alexey Pak, Jürgen Beyerer (eds.)
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Sammelband
Proceedings of the 2017 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Miro Taphanel, Alexey Pak, Jürgen Beyerer (eds.)
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Monographie
Multimodal Panoptic Segmentation of 3D Point Clouds
Fabian Dürr
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Sammelband
Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Tim Zander, Jürgen Beyerer (eds.)
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Sammelband
Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017
Ralf Mikut, E. Hüllermeier, Frank Hoffmann (eds.)
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Monographie
Christian Ruhhammer
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Monographie
Monokulare Blickrichtungsschätzung zur berührungslosen Mensch-Maschine-Interaktion
Sebastian Vater
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Monographie
Polarimetric Radar for Automotive Applications
Tristan Visentin
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Sammelband
Archives of Data Science, Series A. Vol. 1,1: Special Issue: Selected Papers of the 3rd German-Polish Symposium on Data Analysis and Applications
Józef Pociecha, Andreas Geyer-Schulz (eds.)
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Sammelband
Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019
Eyke Hüllermeier, Ralf Mikut, Frank Hoffmann (eds.)
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Sammelband
Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Tim Zander, Jürgen Beyerer (eds.)
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Sammelband
Forum Bildverarbeitung 2022
Michael Heizmann, Thomas Längle (eds.)
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Sammelband
Forum Bildverarbeitung 2020
Thomas Längle, Michael Heizmann (eds.)
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Monographie
Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
Leonie Felica Tatzel
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Monographie
Development of a modular Knowledge-Discovery Framework based on Machine Learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes
Massimiliano Botticelli
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Monographie
Adaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung
Achim Christian Kuwertz
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Monographie
Anomaliedetektion in räumlich-zeitlichen Datensätzen
Mathias Anneken
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Sammelband
Proceedings – 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023
Ralf Mikut, Frank Hoffmann, Horst Schulte (eds.)
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Sammelband
Forum Bildverarbeitung 2024
Michael Heizmann, Thomas Längle (eds.)
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Monographie
Deep material networks for efficient scale-bridging in thermomechanical simulations of solids
Sebastian Gajek
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Monographie
Development and Evaluation of Coded Aperture Reconstruction Methods for Intraoperative Gamma Cameras
Tobias Meißner
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Monographie
A New Concept for Mobile Environmental Education
Markus Ruchter
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Monographie
Dynamic Switching State Systems for Visual Tracking
Stefan Becker
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Monographie
Evaluating Architectural Safeguards for Uncertain AI Black-Box Components
Max Scheerer
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Monographie
Victor Pankratius
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Monographie
Sascha Michael Schweitzer
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Monographie
Andreas Storkenmaier
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Monographie
Identifikation des menschlichen Bewegungsverhaltens auf der Basis von Primitiven
Gunter Diehm
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Monographie
Kursbuch Geschichte der europäischen und globalen Moderne: Arbeitsformen, Fragestellungen, Texttypen
Rolf-Ulrich Kunze
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Monographie
Kursbuch Geschichte der europäischen und globalen Moderne: Arbeitsformen, Fragestellungen, Texttypen
Rolf-Ulrich Kunze
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Deep learning and active learning based semantic segmentation of 3D CT data
Ulf Hassler, Markus Michen
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Active Learning for Regression Problemswith Ensemble Methods
Martin Kohlhase, Bjarne Jaster
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EasyMLServe: Easy Deployment of RESTMachine Learning Services
Ralf Mikut, Markus Reischl, Marcel Schilling, Oliver Neumann
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Machine learning-based battery electrode foil inspection
Alexander Korff, Timo Eckhard, Sebastian Georgi, Wenjing Song, Ines Müller
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Innovative Qualitätssicherung mittels optimierter Bildverarbeitungsketten auf Basis von Deep Learning - Innovative quality assurance using optimized imageprocessing chain based on deep learning
Claudia Gärtner, Martin Welzenbach, Marco Kraft, Daniel Garten, Lilli Steinert, Galina Polte, Katharina Anding
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VectorRL: Interpretable Graph-based Reinforcement Learning for Automated Driving
Torsten Bertram, Frank Hoffmann, Tamino Waldeyer, Christopher Diehl
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Concepts for Automated Machine Learning in Smart Grid Applications
Ralf Mikut, Veit Hagenmeyer, Tim Martin, Janki Pinter, Stefan Meisenbacher
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Multi-stage Inspection of Laser WeldingDefects using Machine Learning
Ralf Mikut, Meiko Boley, Fabian Bleier, Patricia M. Dold
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Machine learning-based multiobject tracking for sensor-based sorting
Jürgen Beyerer, Uwe D. Hanebeck, Thomas Längle, Harald Kruggel-Emden, Florian Pfaff, Robin Gruna, Albert Bauer, Marcel Reith-Braun, Georg Maier
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Interpretable Machine Learning: On the Problem of Explaining Model Change
Eyke Hüllermeier, Barbara Hammer
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Machine learning based model fitting conceptfor energy system components in energymanagement
Peter Bretschneider, Sebastian Flemming, Steffi Naumann, Martin Winkelkotte
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Markus Reischl, Ravindra Peravali, Ralf Mikut, Christian Pylatiuk, Yanke Wang
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Camera-based spatter detection in laserwelding with a deep learning approach
Michael Heizmann, Rainer Thieringer, Oliver Wehner, Martin Stambke, Andreas Jahn, Julia Hartung
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Comparing Optimization Methodsfor Deep Learning at the Exampleof Artistic Style Transfer
Claudia Redenbach, Katja Schladitz, Ali Moghiseh, Alexander Geng
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Deep learning-based localisation of combine harvester components in thermal images
Holger Flatt, Ulrich Büker, Dennis Sprute, Hanna Senke
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Cognitive Architecture for ArtificialIntelligence: Evaluating RealworldApplicability and the Significance of OnlineMachine Learning
Phillip Priss, Christoph Geng, Thomas Bartz-Beielstein, Martin Rosellen, Noah Pütz, Nils Barthel, Aleksandr Subbotin, Lukas Hans, Alexander Hinterleitner, Richard Schulz
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Machine Learning Forecasting of DailyDelivery Positions: A Modern Take onIndustrial Workforce Planning
Matthias Gross, Patrick Eichenseer, Lukas Hans
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Reinforcement Learning Approaches for the Swing-Up and Stabilization of the Cart Pole
Steffen Borchers-Tigasson, Antonius Hohenhövel
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Evaluation of multi-task uncertainties in joint semantic segmentation and monocular depth estimation
Markus Ulrich, Theodor Kapler, Markus Hilleman, Steven Landgraf
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AI-based automated active learning fordiscovery of hidden dynamic processes:A use case in light microscopy
Ralf Mikut, Lennart Hilbert, Roshan Prizak, Süheyla Eroglu-Kayikci, Oliver Neumann, Angelo Yamachui Sitcheu, Nils Friedrich
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The future of machine vision: AI software designed with users in mind
Katrin Götzer, Henning Frechen, Jonas Meier, Markus Schatzl
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Alexander Feil, Xiaozheng Zheng, Kay Johnen, Nils Kroell
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Machine learning for estimating parametersof a convective-scale model: A comparisonof neural networks and random forests
Eyke Hüllermeier, Mohammad H. Shaker, Tijana Janjic, Stefanie Legler
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Predicting the Compressive Strength ofConcrete up to 28 Days-Ahead: Comparisonof 16 Machine Learning Algorithms onBenchmark Datasets
Andreas Kroll, Farzad Rezazadeh
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Optical identification of valuable materials on
printed circuit board assemblies based on
sensor fusion
Peter J. Klar, Ulrich Bochtler, Patrick Peper, Johannes Ruecker
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CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings
Ralf Mikut, Andreas Steimer, Elton Tavares de Menezes, Jonas Barth, Simon Bäuerle
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An overview of implementing Multispectral Imaging coupled with machine learning for the assessment of microbiological quality and authenticity in foods
George-John Nychas, Fady Mohareb, Yimin Zhang, Jens Michael Carstensen, Nette Schultz, Lemonia-Christina Fengou, Anastasia Lytou
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Self-supervised Pretraining for Hyperspectral Classification of Fruit Ripeness
Andreas Zell, Hannah Frank, Leon Amadeus Varga
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PhasmaFOOD - A miniaturized multi-sensor solution for rapid, non-destructive food quality assessment
Francesca Romana Bertani, Konstantinos Tsoumanis, Paraskevas Bourgos, Milenko Tosíc, Susanne Hintschich, Benedikt Groß
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Jürgen Fleischer, Max Heinzler, Tobias Schlagenhauf
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Optimal human labelling for anomaly detection in industrial inspection
Juergen Beyerer, Pascal Birnstill, Ziyan Pan, Tim Zander
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Gunther Notni, Elske Linß, Katharina Anding, Petr Kuritcyn
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Measuring similarity of rendered and realimage pairs using domain translation byemploying Conditional GenerativeAdversarial Networks
Marcus Thiel, Naveen Raj Datha
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Robuste Ampeldetektion und Haltelinienfreigabe durch Kartenassoziation in automatisierten Fahrzeugen - Robust traffic light detection and stopline release by map association for automated driving
Christoph Stiller, Fabian Immel, Kevin Rösch, Richard Fehler
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Semi-supervised methods for CNN based classification of multispectral imagery
Michael Heizmann, Jiachen Zhou, Manuel Bihler
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Visual car brand classification by implementing a synthetic image dataset creation pipeline
Markus Lange-Hegermann, Oliver Niehörster, Stefanie Hittmeyer, Jan Lippemeier
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MLOps for Scarce Image Data: A Use Case inMicroscopic Image Analysis
Ralf Mikut, Markus Reischl, Oliver Neumann, Simon Baeuerle, Nils Friedrich, Angelo Yamachui Sitcheu
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Comprehensive, non-invasive, and quantitativemonitoring of the health and nutrition state ofcrop plants by means of hyperspectral imagingand computational intelligence based analysis
Udo Seiffert, Andreas Backhaus
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Evolving Fuzzy Model Predictive Control based on Optimization for Nonlinear Plate Heat Exchanger
Igor Skrjanc, Mih Ozbot
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Semantic segmentation with small training datasets: A case study for corrosion detection on the surface of industrial objects
Boris Jutzi, Steven Landgraf, Markus Ulrich, Patrick Hübner, Dennis Haitz
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Benefiting from quantum? A comparative study of Q-Seg, quantum-inspired techniques, and U-Net for crack segmentation
Alil Moghiseh, Maximilian Kiefer-Emmanouilidis, Antonio Macaluso, Alexander Geng, Akshaya Srinivasan
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Physics enhanced neural network for phase imaging using two axially displaced diffraction patterns
Stephan Reichelt, Liangcai Cao, Giancarlo Pedrini, Rujia Li
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AI scratching your car: Using diffusion models for training data generation in automotive damage detection
Rainer Stiefelhagen, M. Saquib Sarfraz, Julian Stritzel
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Method Development for Spatially Resolved Detection of Adulterated Minced Meat
Tilman Sauerwald, Thorsten Tybussek, Isik Türkmen, Ervienatasia Djaw
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Evaluation and comparison of different
approaches to multi-product brix calibration in
near-infrared spectroscopy
Jürgen Beyerer, Thomas Längle, Robin Gruna, Michael Kopf
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Towards many-class classification of materials
based on their spectral fingerprints
Jürgen Beyerer, Matthias Richter
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Application of various balancing methods to DCNN regarding acoustic data
Andreas Wenzel, Maria Schweigel, Manuel Schneider, Dominic Schneider
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Robust Training with Adversarial Exampleson Industrial Data
Volker Lohweg, Christoph-Alexander Holst, Julian Knaup
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AutoWP: Automated wind power forecasts with limited computing resources using an ensemble of diverse wind power curves
Ralf Mikut, Veit Hagenmeyer, Peter Bretschneider, Marku Zdrallek, Tim Martin, Maximilian Beichter, Mehdi Dado, Silas Aaron Selzer, Stefan Meisenbacher
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Automated image-based parameter optimization for single-pulse laser drilling
Andreas Michalowski, Peter Reimann, Axel Fehrenbacher, Andreas Jahn, Ömer Can, Lukas Schneller, Mathias Hug, Manuel Klaiber
