Publications

Publications

  • G. Mezzadri, P. Reynaud-Bouret, T. Laloë, F. Mathy (2022). An order-dependent transfer model in categorization. Journal of Mathematical Psychology, Volume 107, 102634. [doi] [hal] [pdf]

  • G. Mezzadri (2020). Statistical inference for categorization models and presentation order. PhD thesis, Université Côte d'Azur. [hal] [pdf]

  • G. Mezzadri, P. Reynaud-Bouret, T. Laloë, F. Mathy (2020). Classification de patterns de catégorisation chez l'humain par deux modèles d'apprentissage. Conference paper, JDS 2020 : 52-ièmes journées de Statistique de la Société Française de Statistique (pages 571-576). [hal] [pdf]

  • G. Mezzadri (2016). Some probabilistic models of neural action potentials and neural networks. Master thesis, Università di Pisa. [pdf]

  • G. Mezzadri (2012). Descrizione probabilistica delle reazioni chimiche (Probabilistic description of chemical reactions). Bachelor thesis, Università degli studi di Milano-Bicocca. [pdf]

Preprints & Working Papers

  • G. Mezzadri, T. Laloë, F. Mathy, P. Reynaud-Bouret (submitted, 2021). Hold-out strategy for selecting learning models: application to categorization subjected to presentation orders. [hal] [pdf]

  • G. Mezzadri, P. Reynaud-Bouret, T. Laloë, F. Mathy (submitted, 2021). Investigating interactions between types of order in categorization. [hal] [pdf]

  • A. Moongathottathil-James, G. Mezzadri, F. Sargolini, P. Reynaud-Bouret, I. Bethus, A. Muzy (in preparation, 2021). Do rats learn by paths or by turns when exploring a maze? Determining and predicting automatically the actions involved in the learning process. [hal]

  • G. Mezzadri, T. Laloë, F. Mathy, P. Reynaud-Bouret (in preparation, 2021). How to fit transfer models to learning data: a segmentation/clustering approach.