Siegfried Ludwig
Siegfried Ludwig
PhD Student Artificial Intelligence, Imperial College London
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Cited by
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2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets
Proceedings of Machine Learning Research 176, 2022
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition
S Bakas, S Ludwig, K Barmpas, M Bahri, Y Panagakis, N Laskaris, ...
arXiv preprint arXiv:2202.03267, 2022
Using Natural Language Processing Techniques to Tackle the Construct Identity Problem in Information Systems Research
S Ludwig, B Funk, B Mueller
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters
S Ludwig, S Bakas, DA Adamos, N Laskaris, Y Panagakis, S Zafeiriou
Journal of Neural Engineering, 2021
Latent Alignment with Deep Set EEG Decoders
S Bakas, S Ludwig, DA Adamos, N Laskaris, Y Panagakis, S Zafeiriou
arXiv preprint arXiv:2311.17968, 2023
Geometric Deep Learning for the Prediction of Music Liking from Consumer-Grade EEG
S Ludwig
Radboud University Nijmegen, 2020
A spiking neuron implementation of genetic algorithms for optimization
S Ludwig, J Hartjes, B Pol, G Rivas, J Kwisthout
Cao, L.; Kosters, W.; Lijffijt, J.(ed.), Proceedings of the 32nd Benelux …, 2020
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