Benjamin Dalmas

According to our database, Benjamin Dalmas authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., April, 2024

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

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, Antonio Martinez-Millana, Davide Aloini, Ilaria Angela Amantea, Robert Andrews, Michael Arias, Iris Beerepoot, Elisabetta Benevento, Andrea Burattin, Daniel Capurro, Josep Carmona, Marco Comuzzi, Benjamin Dalmas, Rene de la Fuente, Chiara Di Francescomarino, Claudio Di Ciccio, Roberto Gatta, Chiara Ghidini, Fernanda Gonzalez-Lopez, Gema Ibáñez-Sánchez, Hilda B. Klasky, Angelina Prima Kurniati, Xixi Lu, Felix Mannhardt, Ronny Mans, Mar Marcos, Renata Medeiros de Carvalho, Marco Pegoraro, Simon K. Poon, Luise Pufahl, Hajo A. Reijers, Simon Remy, Stefanie Rinderle-Ma, Lucia Sacchi, Fernando Seoane, Minseok Song, Alessandro Stefanini, Emilio Sulis, Arthur H. M. ter Hofstede, Pieter J. Toussaint, Vicente Traver, Zoe Valero-Ramon, Inge van de Weerd, Wil M. P. van der Aalst, Rob J. B. Vanwersch, Mathias Weske, Moe Thandar Wynn, Francesca Zerbato

J. Biomed. Informatics, 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

Automated Generation of Patient Population for Discrete-Event Simulation Using Process Mining.

Jules Le Lay, Julia Neveu, Benjamin Dalmas, Vincent Augusto

Proceedings of the Annual Modeling and Simulation Conference, 2022

2021

Predicting Process Activities and Timestamps with Entity-Embeddings Neural Networks.

Benjamin Dalmas, Fabrice Baranski, Daniel Cortinovis

Proceedings of the Research Challenges in Information Science, 2021

A topological and optimization based methodology to identify and correct ICD miscoding behaviors.

Chen He, Benjamin Dalmas, Cédric Bousquet, Béatrice Trombert Paviot, Xiaolan Xie

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

ACBI: An Alternating Clustering and Bayesian Inference approach for optimizing medical intervention budget under chance constraints.

Chen He, Benjamin Dalmas, Xiaolan Xie

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Screening a portfolio of pathologies by subject profiling and medical test rationing.

Nilson Herazo-Padilla, Vincent Augusto, Benjamin Dalmas, Xiaolan Xie, Bienvenu Bongue

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

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

PhD thesis, 2018

Heuristic Mining Approaches for High-Utility Local Process Models.

Benjamin Dalmas, Niek Tax, Sylvie Norre

Trans. Petri Nets Other Model. Concurr., 2018

Interest-driven discovery of local process models.

Niek Tax, Benjamin Dalmas, Natalia Sidorova, Wil M. P. van der Aalst, Sylvie Norre

Inf. Syst., 2018

2017

TWINCLE : A Constrained Sequential Rule Mining Algorithm for Event Logs.

Benjamin Dalmas, Philippe Fournier-Viger, Sylvie Norre

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Heuristics for High-Utility Local Process Model Mining.

Benjamin Dalmas, Niek Tax, Sylvie Norre

Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2017 Satellite event of the conferences: 38th International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2017 and 17th International Conference on Application of Concurrency to System Design ACSD 2017, 2017

2016

A process tree-based algorithm for the detection of implicit dependencies.

Michelle Chabrol, Benjamin Dalmas, Sylvie Norre, Sophie Rodier

Proceedings of the Tenth IEEE International Conference on Research Challenges in Information Science, 2016