Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition. - Cedric Lothritz; Kevin Allix; Lisa Veiber; Tegawendé F. Bissyandé; Jacques Klein (COLING, 2020)

Data-driven Simulation and Optimization for Covid-19 Exit Strategies. - Salah Ghamizi; Renaud Rwemalika; Maxime Cordy; Lisa Veiber; Tegawendé F. Bissyandé; Mike Papadakis; Jacques Klein; Yves Le Traon (KDD, 2020)

Challenges Towards Production-Ready Explainable Machine Learning. - Lisa Veiber; Kevin Allix; Yusuf Arslan; Tegawendé F. Bissyandé; Jacques Klein (OpML, 2020)

Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling. - Cedric Lothritz; Kevin Allix; Bertrand Lebichot; Lisa Veiber; Tegawendé F. Bissyandé; Jacques Klein (NLDB, 2021)

A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain. - Yusuf Arslan; Kevin Allix; Lisa Veiber; Cedric Lothritz; Tegawendé F. Bissyandé; Jacques Klein; Anne Goujon (WWW (Companion Volume), 2021)

A Hybrid Predictive Model for Mitigating Health and Economic Factors during a Pandemic. - Lisa Veiber; Salah Ghamizi; Jean-Sébastien Sottet (ERCIM News, 2021)

Towards Refined Classifications Driven by SHAP Explanations. - Yusuf Arslan; Bertrand Lebichot; Kevin Allix; Lisa Veiber; Clément Lefebvre; Andrey Boytsov; Anne Goujon; Tegawendé F. Bissyandé; Jacques Klein (CD-MAKE, 2022)

On the Suitability of SHAP Explanations for Refining Classifications. - Yusuf Arslan; Bertrand Lebichot; Kevin Allix; Lisa Veiber; Clément Lefebvre; Andrey Boytsov; Anne Goujon; Tegawendé F. Bissyandé; Jacques Klein (ICAART (3), 2022)

LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish. - Cedric Lothritz; Bertrand Lebichot; Kevin Allix; Lisa Veiber; Tegawendé F. Bissyandé; Jacques Klein; Andrey Boytsov; Clément Lefebvre; Anne Goujon (LREC, 2022)