18 citations · 66 across the 32 of their papers we have counts for
5 papers · 1 filter
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…
Transferring Adaptive Theory of Mind to social robots: insights from developmental psychology to robotics
Francesca Bianco, Dimitri Ognibene
Despite the recent advancement in the social robotic field, important limitations restrain its progress and delay the application of robots in everyday scenarios. In the present pa…
Functional advantages of an adaptive Theory of Mind for robotics: a review of current architectures
Francesca Bianco, Dimitri Ognibene
Great advancements have been achieved in the field of robotics, however, main challenges remain, including building robots with an adaptive Theory of Mind (ToM). In the present pap…
Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions through Monte-Carlo Planning in POMDP Environments
Dimitri Ognibene, Lorenzo Mirante, Letizia Marchegiani
Proactively perceiving others' intentions is a crucial skill to effectively interact in unstructured, dynamic and novel environments. This work proposes a first step towards embedd…
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…