Reading Cursive Handwriting. - Claudio De Stefano; Angelo Marcelli; Antonio Parziale; Rosa Senatore (ICFHR, 2010)

A Neural Scheme for Procedural Motor Learning of Handwriting. - Rosa Senatore; Angelo Marcelli (ICFHR, 2012)

Some Observations on Handwriting from a Motor Learning Perspective. - Angelo Marcelli; Antonio Parziale; Rosa Senatore (AFHA, 2013)

Automatic Diagnosis of Parkinson Disease through Handwriting Analysis: A Cartesian Genetic Programming Approach. - Rosa Senatore; Antonio Della Cioppa; Angelo Marcelli (CBMS, 2019)

A Decision Tree for Automatic Diagnosis of Parkinson's Disease from Offline Drawing Samples: Experiments and Findings. - Antonio Parziale; Antonio Della Cioppa; Rosa Senatore; Angelo Marcelli (ICIAP (1), 2019)

Automatic Diagnosis of Neurodegenerative Diseases: An Evolutionary Approach for Facing the Interpretability Problem. - Rosa Senatore; Antonio Della Cioppa; Angelo Marcelli (Inf., 2019)

Parkinson's Disease Diagnosis: Towards Grammar-based Explainable Artificial Intelligence. - Federica Cavaliere; Antonio Della Cioppa; Angelo Marcelli; Antonio Parziale; Rosa Senatore (ISCC, 2020)

Exploring speed-accuracy tradeoff in reaching movements: a neurocomputational model. - Antonio Parziale; Rosa Senatore; Angelo Marcelli (Neural Comput. Appl., 2020)

Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues. - Antonio Parziale; Rosa Senatore; Antonio Della Cioppa; Angelo Marcelli (Artif. Intell. Medicine, 2021)

A biologically inspired approach for recovering the trajectory of offline handwriting. - Rosa Senatore; Adolfo Santoro; Antonio Parziale; Angelo Marcelli (Memetic Comput., 2023)

The onset of motor learning impairments in Parkinson's disease: a computational investigation. - Ilaria Gigi; Rosa Senatore; Angelo Marcelli (Brain Informatics, 2024)