Martijn Tannemaat

According to our database, Martijn Tannemaat authored at least 4 papers between 2019 and 2026.

Collaborative distances:

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

2026

Objective-Induced Bias and Search Dynamics in Multiobjective Unsupervised Feature Selection.

Mathieu Cherpitel, Thomas Bäck, Martijn Tannemaat, Anna V. Kononova

CoRR, May, 2026

How does downsampling affect needle electromyography signals? A generalisable workflow for understanding downsampling effects on high-frequency time series.

Mathieu Cherpitel, Janne Luijten, Thomas Bäck, Camiel Verhamme, Martijn Tannemaat, Anna V. Kononova

CoRR, January, 2026

2020

Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data.

Marios Kefalas, Milan Koch, Victor Geraedts, Hao Wang, Martijn Tannemaat, Thomas Bäck

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Automated Machine Learning for EEG-Based Classification of Parkinson's Disease Patients.

Milan Koch, Victor Geraedts, Hao Wang, Martijn Tannemaat, Thomas Bäck

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019