A process tree-based algorithm for the detection of implicit dependencies. - Michelle Chabrol; Benjamin Dalmas; Sylvie Norre; Sophie Rodier (RCIS, 2016)

Heuristics for High-Utility Local Process Model Mining. - Benjamin Dalmas; Niek Tax; Sylvie Norre (ATAED@Petri Nets/ACSD, 2017)

TWINCLE : A Constrained Sequential Rule Mining Algorithm for Event Logs. - Benjamin Dalmas; Philippe Fournier-Viger; Sylvie Norre (KES, 2017)

Interest-driven discovery of local process models. - Niek Tax; Benjamin Dalmas; Natalia Sidorova; Wil M. P. van der Aalst; Sylvie Norre (Inf. Syst., 2018)

Heuristic Mining Approaches for High-Utility Local Process Models. - Benjamin Dalmas; Niek Tax; Sylvie Norre (Trans. Petri Nets Other Model. Concurr., 2018)

Nouvelles approches pour la détection de relations utiles dans les processus: application aux parcours de santé. (New approaches for the discovery of high-utility relations in processes: application to healthcare). - Benjamin Dalmas (2018)

Screening a portfolio of pathologies by subject profiling and medical test rationing. - Nilson Herazo-Padilla; Vincent Augusto; Benjamin Dalmas; Xiaolan Xie; Bienvenu Bongue (CASE, 2019)

ACBI: An Alternating Clustering and Bayesian Inference approach for optimizing medical intervention budget under chance constraints. - Chen He; Benjamin Dalmas; Xiaolan Xie (CASE, 2020)

A topological and optimization based methodology to identify and correct ICD miscoding behaviors. - Chen He; Benjamin Dalmas; Cédric Bousquet; Béatrice Trombert Paviot; Xiaolan Xie (CASE, 2021)

Predicting Process Activities and Timestamps with Entity-Embeddings Neural Networks. - Benjamin Dalmas; Fabrice Baranski; Daniel Cortinovis (RCIS, 2021)

Automated Generation of Patient Population for Discrete-Event Simulation Using Process Mining. - Jules Le Lay; Julia Neveu; Benjamin Dalmas; Vincent Augusto (ANNSIM, 2022)

Pattern mining-based pruning strategies in stochastic local searches for scheduling problems. - Arnaud Laurent; Damien Lamy; Benjamin Dalmas; Vincent Clerc (Int. Trans. Oper. Res., 2022)

Process mining for healthcare: Characteristics and challenges. - Jorge Munoz-Gama; Niels Martin; Carlos Fernández-Llatas; Owen A. Johnson; Marcos Sepúlveda; Emmanuel Helm; Victor Galvez-Yanjari; Eric Rojas 001; Antonio Martinez-Millana; Davide Aloini; Ilaria Angela Amantea; Robert Andrews 001; et al. (J. Biomed. Informatics, 2022)

A Decision-Tree-Based Bayesian Approach for Chance-Constrained Health Prevention Budget Rationing. - Nilson Herazo-Padilla; Vincent Augusto; Benjamin Dalmas; Xiaolan Xie; Bienvenu Bongue (IEEE Trans Autom. Sci. Eng., 2022)

A Decomposed Hybrid Approach to Business Process Modeling with LLMs. - Ali Nour Eldin; Nour Assy; Olan Anesini; Benjamin Dalmas; Walid Gaaloul (CoopIS, 2024)

Nala2BPMN: Automating BPMN Model Generation with Large Language Models. - Ali Nour Eldin; Nour Assy; Olan Anesini; Benjamin Dalmas; Walid Gaaloul (CoopIS, 2024)

A Novel Approach to Process Discovery with Enhanced Loop Handling. - Ali Nour Eldin; Benjamin Dalmas; Walid Gaaloul (CoRR, 2024)

A Clustering-Based Optimization Approach for Hospital Miscoding Correction. - Chen He; Benjamin Dalmas; Cédric Bousquet; Béatrice Trombert Paviot; Xiaolan Xie (IEEE Trans Autom. Sci. Eng., 2024)

Healthcare trajectories of aging individuals during their last year of life: application of process mining methods to administrative health databases. - Delphine Bosson-Rieutort; Alexandra Langford-Avelar; Juliette Duc; Benjamin Dalmas (BMC Medical Informatics Decis. Mak., 2025)

Low-code solutions for business process dataflows: From modeling to execution. - Ali Nour Eldin; Jonathan Baudot; Benjamin Dalmas; Walid Gaaloul (Inf. Syst., 2026)