Process Discovery Using Graph Neural Networks. - Dominique Sommers; Vlado Menkovski; Dirk Fahland (ICPM, 2021)

Aligning Event Logs to Resource-Constrained ν-Petri Nets. - Dominique Sommers; Natalia Sidorova; Boudewijn F. van Dongen (Petri Nets, 2022)

Exact and Approximated Log Alignments for Processes with Inter-case Dependencies. - Dominique Sommers; Natalia Sidorova; Boudewijn F. van Dongen (Petri Nets, 2023)

Trident: Generating Noisy Synthetic Processes with Ground Truth. - Dominique Sommers; Durairaja V. Varadarajan; Natalia Sidorova (ICPM Doctoral Consortium / Demo, 2023)

Supervised learning of process discovery techniques using graph neural networks. - Dominique Sommers; Vlado Menkovski; Dirk Fahland (Inf. Syst., 2023)

Conformance Checking with Model Projections - Rethinking Log-Model Alignments for Processes with Interacting Objects. - Dominique Sommers; Natalia Sidorova; Boudewijn F. van Dongen (Petri Nets, 2024)

Assessing Process Mining Techniques: a Ground Truth Approach. - Dominique Sommers; Natalia Sidorova; Boudewijn F. van Dongen (ICPM, 2024)

A Ground Truth Approach for Assessing Process Mining Techniques. - Dominique Sommers; Natalia Sidorova; Boudewijn F. van Dongen (CoRR, 2025)

In System Alignments we Trust! Explainable Alignments via Projections. - Dominique Sommers; Natalia Sidorova; Boudewijn F. van Dongen (CoRR, 2025)