Kenny Schlegel

According to our database, Kenny Schlegel authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Structured temporal representation in time series classification with ROCKETs and hyperdimensional computing.

Kenny Schlegel, Dmitri A. Rachkovskij, Denis Kleyko, Ross W. Gayler, Peter Protzel, Peer Neubert

Data Min. Knowl. Discov., November, 2025

On the choice of Vector Symbolic Architectures for Time Series Classification with HDC-MiniROCKET.

Marcel Unger, Kenny Schlegel, Peter Protzel, Peer Neubert

Proceedings of the International Joint Conference on Neural Networks, 2025

Data-Efficient Spectral Classification of Hyperspectral Data Using MiniROCKET and HDC-MiniROCKET.

Nick Theisen, Kenny Schlegel, Dietrich Paulus, Peer Neubert

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

2024

Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals.

Kenny Schlegel, Denis Kleyko, Benjamin H. Brinkmann, Ewan S. Nurse, Ross W. Gayler, Peer Neubert

Nat. Mac. Intell., 2024

Learnable Weighted Superposition in HDC and its Application to Multi-channel Time Series Classification.

Kenny Schlegel, Dmitri A. Rachkovskij, Evgeny Osipov, Peter Protzel, Peer Neubert

Proceedings of the International Joint Conference on Neural Networks, 2024

2022

A comparison of vector symbolic architectures.

Kenny Schlegel, Peer Neubert, Peter Protzel

Artif. Intell. Rev., 2022

HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing.

Kenny Schlegel, Peer Neubert, Peter Protzel

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Vector Semantic Representations as Descriptors for Visual Place Recognition.

Peer Neubert, Stefan Schubert, Kenny Schlegel, Peter Protzel

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing.

Kenny Schlegel, Florian Mirus, Peer Neubert, Peter Protzel

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

A blind-spot-aware optimization-based planner for safe robot navigation.

Kenny Schlegel, Peter Weissig, Peter Protzel

Proceedings of the 10th European Conference on Mobile Robots, 2021

2020

Building a Navigation System for a Shopping Assistant Robot from Off-the-Shelf Components.

Kenny Schlegel, Peer Neubert, Peter Protzel

Proceedings of the Towards Autonomous Robotic Systems - 21st Annual Conference, 2020