34 citations · 65 across the 5 of their papers we have counts for
5 papers
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment
Daniele Rege Cambrin, Gabriele Scaffidi Militone, Luca Colomba +3
Designing effective game tutorials is crucial for a smooth learning curve for new players, especially in games with many rules and complex core mechanics. Evaluating the effectiven…
Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time
Salvatore Greco, Bartolomeo Vacchetti, Daniele Apiletti +1
Concept drift is the phenomenon in which the underlying data distributions and statistical properties of a target domain change over time, leading to a degradation in model perform…
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features
Francesco Ventura, Salvatore Greco, Daniele Apiletti +1
Despite the high accuracy offered by state-of-the-art deep natural-language models (e.g. LSTM, BERT), their application in real-life settings is still widely limited, as they behav…
Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos +77
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organ…
Automating concept-drift detection by self-evaluating predictive model degradation
Tania Cerquitelli, Stefano Proto, Francesco Ventura +2
A key aspect of automating predictive machine learning entails the capability of properly triggering the update of the trained model. To this aim, suitable automatic solutions to s…