| 2018 | AINA | A Subword-Based Deep Learning Approach for Sentiment Analysis of Political Tweets. | Marco Pota, Massimo Esposito, Marco A. Palomino, Giovanni Luca Masala |
| 2018 | IJCNN | Question Classification by Convolutional Neural Networks Embodying Subword Information. | Marco Pota, Massimo Esposito |
| 2017 | SoMeT | Convolutional Neural Networks for Question Classification in Italian Language. | Marco Pota, Massimo Esposito, Giuseppe De Pietro |
| 2016 | SMC | Interval type-2 fuzzy DSS for unbiased medical diagnosis. | Marco Pota, Massimo Esposito, Giuseppe De Pietro |
| 2015 | AIME | A Composite Model for Classifying Parotid Shrinkage in Radiotherapy Patients Using Heterogeneous Data. | Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Maria Luisa Belli, Giovanni Mauro Cattaneo, Massimo Esposito, Giovanna Rizzo |
| 2015 | EUSFLAT | Insights into Interpretability of Neuro-Fuzzy Systems. | Marco Pota, Massimo Esposito |
| 2013 | HAIS | Best Fuzzy Partitions to Build Interpretable DSSs for Classification in Medicine. | Marco Pota, Massimo Esposito, Giuseppe De Pietro |
| 2012 | HAIS | From Likelihood Uncertainty to Fuzziness: A Possibility-Based Approach for Building Clinical DSSs. | Marco Pota, Massimo Esposito, Giuseppe De Pietro |
| 2012 | HIS | Hybridization of possibility theory and supervised clustering to build DSSs for classification in medicine. | Marco Pota, Massimo Esposito, Giuseppe De Pietro |
| 2011 | HIS | Transformation of probability distribution into fuzzy set interpretable with likelihood view. | Marco Pota, Massimo Esposito, Giuseppe De Pietro |