Towards a Novel Probabilistic Graphical Model of Sequential Data: A Solution to the Problem of Structure Learning and an Empirical Evaluation. - Marco Bongini; Edmondo Trentin (ANNPR, 2012)

Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning. - Edmondo Trentin; Marco Bongini (ANNPR, 2012)

A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins. - Marco Bongini; Vincenzo Laveglia; Edmondo Trentin (ANNPR, 2016)

Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics. - Marco Bongini; Antonino Freno; Vincenzo Laveglia; Edmondo Trentin (Neural Process. Lett., 2018)

Recursive Neural Networks for Density Estimation Over Generalized Random Graphs. - Marco Bongini; Leonardo Rigutini; Edmondo Trentin (IEEE Trans. Neural Networks Learn. Syst., 2018)