Efficient training of Time Delay Neural Networks for sequential patterns. - Rossella Cancelliere; Roberto Gemello (Neurocomputing, 1996)

A High Parallel Procedure to Initialize the Output Weights of a Radial Basis Function or BP Neural Network. - Rossella Cancelliere (PARA, 2000)

Neural Network Performances in Astronomical Image Processing. - Rossella Cancelliere; Mario Gai (ESANN, 2003)

Dynamics and stability of generalized cellular nonlinear network model. - Rossella Cancelliere; Angela Slavova (Appl. Math. Comput., 2005)

Neural network high precision processing for astronomical images. - Rossella Cancelliere; Mario Gai (EUSIPCO, 2007)

Classification of chestnuts with feature selection by noise resilient classifiers. - Elena Roglia; Rossella Cancelliere; Rosa Meo (ESANN, 2008)

Efficient computation and neural processing of astrometric images. - Rossella Cancelliere; Mario Gai (Comput. Informatics, 2009)

Matrix Pseudoinversion for Image Neural Processing. - Rossella Cancelliere; Mario Gai; Thierry Artières; Patrick Gallinari (ICONIP (5), 2012)

Neural networks for wind power generation forecasting: A case study. - Rossella Cancelliere; Alberto Gosso; Andrea Grosso (ICNSC, 2013)

Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices. - Luca Rubini; Rossella Cancelliere; Patrick Gallinari; Andrea Grosso; Antonino Raiti (AIMSA, 2014)

An analysis of numerical issues in neural training by pseudoinversion. - Rossella Cancelliere; R. Deluca; Mario Gai; Patrick Gallinari; Luca Rubini (CoRR, 2015)

OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training. - Rossella Cancelliere; Mario Gai; Patrick Gallinari; Luca Rubini (Neural Networks, 2015)

Neural Learning of Heuristic Functions for General Game Playing. - Leo Ghignone; Rossella Cancelliere (MOD, 2016)

Local search and pseudoinversion: an hybrid approach to neural network training. - Luca Rubini; Rossella Cancelliere; Patrick Gallinari; Andrea Grosso (Knowl. Inf. Syst., 2016)

A Deep Learning Approach to Anomaly Detection in the Gaia Space Mission Data. - Alessandro Druetto; Marco Roberti; Rossella Cancelliere; Davide Cavagnino; Mario Gai (IWANN (2), 2019)

Copy Mechanism and Tailored Training for Character-Based Data-to-Text Generation. - Marco Roberti; Giovanni Bonetta; Rossella Cancelliere; Patrick Gallinari (ECML/PKDD (2), 2019)

Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training. - Marco Botta; Rossella Cancelliere; Leo Ghignone; Fabio Tango; Patrick Gallinari; Clara Luison (Knowl. Inf. Syst., 2019)

Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. - Giovanni Bonetta; Rossella Cancelliere; Ding Liu; Paul Vozila (FLAIRS, 2021)

The Rare Word Issue in Natural Language Generation: A Character-Based Solution. - Giovanni Bonetta; Marco Roberti; Rossella Cancelliere; Patrick Gallinari (Informatics, 2021)

Anomaly Detection Techniques in the Gaia Space Mission Data. - Marco Roberti; Alessandro Druetto; Deborah Busonero; Rossella Cancelliere; Davide Cavagnino; Mario Gai (J. Signal Process. Syst., 2021)

Correction to: Anomaly Detection Techniques in the Gaia Space Mission Data. - Marco Roberti; Alessandro Druetto; Deborah Busonero; Rossella Cancelliere; Davide Cavagnino; Mario Gai (J. Signal Process. Syst., 2021)

Lightening CNN architectures by regularization driven weights' pruning. - Giovanni Bonetta; Rossella Cancelliere (ESANN, 2022)

Controlling hallucinations at word level in data-to-text generation. - Clément Rebuffel; Marco Roberti; Laure Soulier; Geoffrey Scoutheeten; Rossella Cancelliere; Patrick Gallinari (Data Min. Knowl. Discov., 2022)

Job Shop Scheduling via Deep Reinforcement Learning: A Sequence to Sequence Approach. - Giovanni Bonetta; Davide Zago; Rossella Cancelliere; Andrea Grosso (LION, 2023)

Regularization-based pruning of irrelevant weights in deep neural architectures. - Giovanni Bonetta; Matteo Ribero; Rossella Cancelliere (Appl. Intell., 2023)

Vision Language Models as Policy Learners in Reinforcement Learning Environments. - Giovanni Bonetta; Davide Zago; Rossella Cancelliere; Mirko Polato; Bernardo Magnini (ESANN, 2024)