Overview of the Transformer-based Models for NLP Tasks. - Anthony Gillioz; Jacky Casas; Elena Mugellini; Omar Abou Khaled (FedCSIS, 2020)

Improving Graph Classification by Means of Linear Combinations of Reduced Graphs. - Anthony Gillioz; Kaspar Riesen (ICPRAM, 2022)

Graph Reduction Neural Networks for Structural Pattern Recognition. - Anthony Gillioz; Kaspar Riesen (S+SSPR, 2022)

Graph-Based vs. Vector-Based Classification: A Fair Comparison. - Anthony Gillioz; Kaspar Riesen (GbRPR, 2023)

Two-Step Graph Classification on the Basis of Hierarchical Graphs. - Anthony Gillioz; Kaspar Riesen (ICPRAM, 2023)

Building Multiple Classifier Systems Using Linear Combinations of Reduced Graphs. - Anthony Gillioz; Kaspar Riesen (SN Comput. Sci., 2023)

Graph-based pattern recognition on spectral reduced graphs. - Anthony Gillioz; Kaspar Riesen (Pattern Recognit., 2023)

Normalized graph compression distance - A novel graph matching framework. - Anthony Gillioz; Kaspar Riesen (Pattern Recognit. Lett., 2025)