Eye fixations identification based on statistical analysis - Case study. - Giacomo Veneri; Pietro Piu; Pamela Federighi; Francesca Rosini; Antonio Federico; Alessandra Rufa (CIP, 2010)

Influences of data filtering on human-computer interaction by gaze-contingent display and eye-tracking applications. - Giacomo Veneri; Pamela Federighi; Francesca Rosini; Antonio Federico; Alessandra Rufa (Comput. Hum. Behav., 2010)

Automatic eye fixations identification based on analysis of variance and covariance. - Giacomo Veneri; Pietro Piu; Francesca Rosini; Pamela Federighi; Antonio Federico; Alessandra Rufa (Pattern Recognit. Lett., 2011)

Evaluating gaze control on a multi-target sequencing task: The distribution of fixations is evidence of exploration optimisation. - Giacomo Veneri; Francesca Rosini; Pamela Federighi; Antonio Federico; Alessandra Rufa (Comput. Biol. Medicine, 2012)

Evaluating the human ongoing visual search performance by eye tracking application and sequencing tests. - Giacomo Veneri; Elena Pretegiani; Francesca Rosini; Pamela Federighi; Antonio Federico; Alessandra Rufa (Comput. Methods Programs Biomed., 2012)

Continual Learning for anomaly detection on turbomachinery prototypes - A real application. - Valentina Gori; Giacomo Veneri; Valeria Ballarini (CEC, 2022)

Document Layout Analysis with Variational Autoencoders: An Industrial Application. - Ali Youssef; Gabriele Valvano; Giacomo Veneri (ISMIS, 2022)

DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift. - Luca Strazzera; Valentina Gori; Giacomo Veneri (CoRR, 2022)

Deep Surrogate of Modular Multi Pump using Active Learning. - Malathi Murugesan; Kanika Goyal; Laure Barriere; Maura Pasquotti; Giacomo Veneri; Giovanni De Magistris (CoRR, 2022)

Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors. - Andrea Panizza; Szymon Tomasz Stefanek; Stefano Melacci; Giacomo Veneri; Marco Gori (CoRR, 2022)

Combining Thermodynamics-based Model of the Centrifugal Compressors and Active Machine Learning for Enhanced Industrial Design Optimization. - Shadi Ghiasi; Guido Pazzi; Concettina Del Grosso; Giovanni De Magistris; Giacomo Veneri (CoRR, 2023)

Representation Extraction Using Hyperbolic Knowledge Distilled Framework - An Industrial Application on High Risk Environment. - Vijeth Kumar; Malathi Murugesan; Giacomo Veneri (ICCAE, 2024)

Controllable Image Synthesis of Industrial Data using Stable Diffusion. - Gabriele Valvano; Antonino Agostino; Giovanni De Magistris; Antonino Graziano; Giacomo Veneri (WACV, 2024)