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Learning and exit behavior of new entrant discount airlines from city-pair markets
Using Scanpaths as a Learning Method for a Conflict Detection Task of Multiple Target Tracking
Machine learning approaches for detection of robot errors in human brain signals
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Latent State-Space Models for Control
Interorganisationales Lernen : ein kompetenzorientierter Ansatz zur Steuerung von Logistiknetzwerken
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Unmixing method for hyperspectral data based on sub-space method with learning process
Production scheduling of assembly fixtures in the aeronautical industry
Combining learning and structure for robotic manipulation
Data mining for quality control: Burr detection in the drilling process
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
Urban traffic control based on learning agents
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Learning motion skills for a humanoid robot
A methodology for photometric validation in vehicles visual interactive systems
Online Adaptive Fuzzy Neural Identification of a Piezoelectric Tube Actuator System
A Method of Reinforcement Learning Based Automatic Traffic Signal Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Validity index in dynamic cell structures
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Double-deck elevator systems using genetic network programming with reinforcement learning
Application of time-variant predictive control to modelling driver steering skill
Machine learning and deep learning
Unconstrained licence plate and text localization and recognition
Adaptive human-robot policy blending for shared control teleoperation
Technische und lernpsychologische Zusammenhänge bei Trainingssimulatoren für die Fahrausbildung
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Learning continuous human-robot interactions from human-human demonstrations
Kernel regression for travel time estimation via convex optimization