Knoll, Alois

Gradient boosting machines, a tutorial

Natekin, A., & Knoll, A. (2013) · Frontiers in Neurorobotics

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 3,887

5G for Robotics: Ultra-Low Latency Control of Distributed Robotic Systems

Voigtlander, F., Ramadan, A., Eichinger, J., Lenz, C., Pensky, D., & Knoll, A. (2017) · 2017 International Symposium on Computer Science and Intelligent Controls (ISCSIC)

Robotics and Automated SystemsTeleoperation and Haptic Systems

Cited by 76

A sensor fusion approach for localization with cumulative error elimination

Zhang, F., Stahle, H., Chen, G., Simon, C. C. C., Buckl, C., & Knoll, A. (2012) · 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

Inertial Sensor and NavigationRobotics and Sensor-Based Localization

Cited by 45

Advanced Active Learning Strategies for Object Detection

Schmidt, S., Rao, Q., Tatsch, J., & Knoll, A. (2020) · 2020 IEEE Intelligent Vehicles Symposium (IV)

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 29

The use of prototypes within agile product development explorative case study of a Makeathon

Zink, L., Hostetter, R., Bohmer, A. I., Lindemann, U., & Knoll, A. (2017) · 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)

Software Engineering Techniques and PracticesProduct Development and Customization

Cited by 15

V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection

Song, R., Lyu, L., Jiang, W., Festag, A., & Knoll, A. (2023) · arXiv

Privacy-Preserving Technologies in DataVehicular Ad Hoc Networks (VANETs)

Cited by 11