On the Use of Deep Reinforcement Learning for Visual Tracking: A Survey. - Giorgio Cruciata; Liliana Lo Presti; Marco La Cascia (IEEE Access, 2021)

Iterative Multiple Bounding-Box Refinements for Visual Tracking. - Giorgio Cruciata; Liliana Lo Presti; Marco La Cascia (J. Imaging, 2022)

Wildfires Classification: A Comparative Study. - Giorgio Cruciata; Liliana Lo Presti; Gabriele Ajello; Paolo Cicero; Giacomo Corvisieri; Marco La Cascia (ICIAP Workshops (1), 2023)

Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network Optimisation. - Cengis Hasan; Alexandros Agapitos; David Lynch; Alberto Castagna; Giorgio Cruciata; Hao Wang; Aleksandar Milenovic (ECML/PKDD (6), 2023)

UCB-driven Utility Function Search for Multi-objective Reinforcement Learning. - Yucheng Shi; Alexandros Agapitos; David Lynch; Giorgio Cruciata; Cengis Hasan; Hao Wang; Yayu Yao; Aleksandar Milenovic (CoRR, 2024)

Learn & drop: fast learning of cnns based on layer dropping. - Giorgio Cruciata; Luca Cruciata; Liliana Lo Presti; Jan van Gemert; Marco La Cascia (Neural Comput. Appl., 2024)

Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation. - Muzhaffar Hazman; Minh-Khoi Pham; Shweta Soundararajan; Goncalo Mordido; Leonardo Custode; David Lynch; Giorgio Cruciata; Yucheng Shi; Hongmeng Song; Wang Chao; Pan Yue; Aleksandar Milenovic; et al. (CoRR, 2025)