CREMASCHI MARCO

Cremaschi, M., Avis, G., Zhao, A., Guarnieri, E., Panzeri, A., Spoto, A. (2025). PENguIN: A mental health application employing gamification and token economy to boost therapeutic adherence in young users. COMPUTERS IN HUMAN BEHAVIOR REPORTS, 17(March 2025) [10.1016/j.chbr.2025.100586]. Detail

Olearo, L., D'Adda, F., Messina, E., Cremaschi, M., Bandini, S., Gasparini, F. (2024). Facing multidimensional poverty in older adults: An artificial intelligence approach that reveals the variable relevance. INTELLIGENZA ARTIFICIALE, 18(1), 51-65 [10.3233/ia-240027]. Detail

Avogadro, R., D'Adda, F., Cremaschi, M. (2024). Feature/vector entity retrieval and disambiguation techniques to create a supervised and unsupervised semantic table interpretation approach. KNOWLEDGE-BASED SYSTEMS, 304(25 November 2024) [10.1016/j.knosys.2024.112447]. Detail

Guarnieri, E., Cremaschi, M. (2024). The Digitalisation of Reinforcement Learning and Token Economy in e-Health. In Higher Education Learning Methodologies and Technologies Online
5th International Conference, HELMeTO 2023, Foggia, Italy, September 13–15, 2023, Revised Selected Papers (pp.423-439). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-67351-1_29]. Detail

Amianto Barbato, J., Cremaschi, M., Rula, A., Maurino, A. (2024). Toward a Human-in-the-Loop Approach to Create Training Datasets for RDF Lexicalisation. In Intelligent Systems and Applications
Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 1 (pp.84-101). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-47721-8_6]. Detail