2021
- Scalable Incremental Similarity-based Learning with Neural Filters for Large Scale Timeseries Classification Systems. Nils Schaetti, Pasquale De Rosa, Stéphane Montavon, David Deillon. Splitech 2021 ;
- An empirical comparison of recurrent neural network models on authorship analysis tasks. Nils Schaetti. Université de Neuchâtel ;
2020
- Comparison of Visualisable Evidence-based Authorship Attribution Methods using Recurrent Neural Networks. Nils Schaetti, Jacques Savoy, Preprint ;
- Comparison of visualisable evidence-based authorship attribution using reservoir computing and deep learning architecture. Nils Schaetti, Jacques Savoy. Technical Report, University of Neuchatel ;
2019
- Behaviors of Reservoir Computing Models for Textual Documents Classification. Nils Schaetti, International Joint Conference on Neural Networks (IJCNN 2019) ;
- Author Verification in stream of text with Echo State Network-based Recurrent Neural Models. Nils Schaetti. 4th Swiss Text Analytics Conference (SwissText 2019) ;
2018
- UniNE at CLEF 2018: Character-based Convolutional Neural Network for Style Change Detection. Nils Schaetti. Proceedings of the Ninth International Conference of the CLEF Association (CLEF 2018) ;
- UniNE at CLEF 2018: Character-based convolutional neural network and resnet18 for twitter author profiling. Nils Schaetti. Proceedings of the Ninth International Conference of the CLEF Association (CLEF 2018) ;
- UniNE at CLEF 2018: Bidirectional Echo State Network-based Reservoir Computing for Cross-domain Authorship Attribution. Nils Schaetti. Proceedings of the Ninth International Conference of the CLEF Association (CLEF 2018) ;