| 2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets Proceedings of Machine Learning Research 176, 2022 | 20* | 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 | 7 | 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 | 7 | 2020 |
| EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters S Ludwig, S Bakas, DA Adamos, N Laskaris, Y Panagakis, S Zafeiriou arXiv preprint arXiv:2110.10009, 2021 | 5 | 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 | | 2023 |
| Geometric Deep Learning for the Prediction of Music Liking from Consumer-Grade EEG S Ludwig Radboud University Nijmegen, 2020 | | 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 | | 2020 |
