4 papers
The GECo algorithm for Graph Neural Networks Explanation
Salvatore Calderaro, Domenico Amato, Giosuè Lo Bosco +2
Graph Neural Networks (GNNs) are powerful models that can manage complex data sources and their interconnection links. One of GNNs' main drawbacks is their lack of interpretability…
On the Suitability of Neural Networks as Building Blocks for The Design of Efficient Learned Indexes
Domenico Amato, Giosue' Lo Bosco, Raffaele Giancarlo
With the aim of obtaining time/space improvements in classic Data Structures, an emerging trend is to combine Machine Learning techniques with the ones proper of Data Structures. T…
Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines
Domenico Amato, Giosué Lo Bosco, Raffaele Giancarlo
Sorted Table Search Procedures are the quintessential query-answering tool, with widespread usage that now includes also Web Applications, e.g, Search Engines (Google Chrome) and a…
Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection
Mattia Antonino Di Gangi, Giosué Lo Bosco, Giovanni Pilato
Irony and sarcasm are two complex linguistic phenomena that are widely used in everyday language and especially over the social media, but they represent two serious issues for aut…