14 citations · 38 across the 25 of their papers we have counts for
3 papers · 1 filter
Combining Deep Architectures for Information Gain estimation and Reinforcement Learning for multiagent field exploration
Emanuele Masiero, Vito Trianni, Giuseppe Vizzari +1
Precision agriculture requires efficient autonomous systems for crop monitoring, where agents must explore large-scale environments while minimizing resource consumption. This work…
A Classification Methodology based on Subspace Graphs Learning
Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati +1
In this paper, we propose a design methodology for one-class classifiers using an ensemble-of-classifiers approach. The objective is to select the best structures created during th…
Binary Classification using Pairs of Minimum Spanning Trees or N-ary Trees
Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati +1
One-class classifiers are trained with target class only samples. Intuitively, their conservative modelling of the class description may benefit classical classification tasks wher…