Signal classification using Neural Networks. - Anna Esposito; Mariarosaria Falanga; Maria Funaro; Maria Marinaro; Silvia Scarpetta (WIRN, 2001)

Neural networks for blind-source separation of Stromboli explosion quakes. - Fausto Acernese; Angelo Ciaramella; Salvatore De Martino; Rosario De Rosa; Mariarosaria Falanga; Roberto Tagliaferri (IEEE Trans. Neural Networks, 2003)

ICA for modelling and generating organ pipes self-sustained tones. - Angelo Ciaramella; Enza De Lauro; Salvatore De Martino; Mariarosaria Falanga; Roberto Tagliaferri (IJCNN, 2004)

ICA based identification of dynamical systems generating synthetic and real world time series. - Angelo Ciaramella; Enza De Lauro; Salvatore De Martino; Mariarosaria Falanga; Roberto Tagliaferri (Soft Comput., 2006)

Limit cycles in nonlinear excitation of clusters of classical oscillators. - Enza De Lauro; Salvatore De Martino; Mariarosaria Falanga; Liviu Gr. Ixaru (Comput. Phys. Commun., 2009)

Modeling and Generating Organ Pipes Self-Sustained Tones by Using ICA. - Angelo Ciaramella; Enza De Lauro; Salvatore De Martino; Mariarosaria Falanga; Roberto Tagliaferri (J. Signal Inf. Process., 2011)

Towards a semantic model for IoT-based seismic event detection and classification. - Diego Rincon-Yanez; Enza De Lauro; Mariarosaria Falanga; Sabrina Senatore; Simona Petrosino (SSCI, 2020)

Semantically Enhanced IoT-Oriented Seismic Event Detection: An Application to Colima and Vesuvius Volcanoes. - Mariarosaria Falanga; Enza De Lauro; Simona Petrosino; Diego Rincon-Yanez; Sabrina Senatore (IEEE Internet Things J., 2022)

Uncertainty Estimation via Ensembles of Deep Learning Models and Dropout Layers for Seismic Traces. - Giovanni Messuti; Ortensia Amoroso; Ferdinando Napolitano; Mariarosaria Falanga; Paolo Capuano; Silvia Scarpetta (WIRN, 2023)