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Unsupervised generation of polygonal approximations based on the convex hull
(Elsevier, 2020)
The present paper proposes a new non-optimal but unsupervised algorithm, called ICT-RDP, for generation of polygonal approximations based on the convex hull. Firstly, the new algorithm takes into account the convex hull ...
MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning
(Elsevier, 2022)
MIML library is a Java software tool to develop, test, and compare classification algorithms for multi-instance multi-label (MIML) learning. The library includes 43 algorithms and provides a specific format and facilities ...
Area Maximizing Surfaces in Lorentzian Spaces
(Springer, 2021)
In this paper we provide new results for area maximizing compact spacelike surfaces with
boundary embedded in Lorentz-Minkowski space, as well as establish the uniqueness of the
Dirichlet problem for maximal graphs in ...
Modeling and predicting students’ engagement behaviors using mixture Markov models
(Springer, 2022)
Students’ engagements reflect their level of involvement in an ongoing learning processwhich
can be estimated through their interactions with a computer-based learning or assessment
system. A pre-requirement for stimulating ...
On the concept of infinitesimal position vector fields in Galilean spacetimes
(World Scientific, 2022)
We introduce two different ways to establish the concept of infinitesimal position vector field between “infinitesimally nearby” observers in a Galilean spacetime as well as show their mathematical equivalence. We also use ...
On the geometry of stationary Galilean spacetimes
(Springer, 2021)
In this work we introduce a new family of non-relativistic spacetimes: standard stationary Galilean spacetimes, which constitute the local geometric model of stationary Galilean spacetimes. We also study the geodesic ...
Rigidity results for complete spacelike submanifolds in plane fronted waves
(Springer, 2022)
New rigidity results for complete non-compact spacelike submanifolds of arbitrary codimension in plane fronted waves are obtained. Under appropriate assumptions, we prove that a complete spacelike submanifold in these ...
Graph-Based Feature Selection Approach for Molecular Activity Prediction
(American Chemical Society, 2022)
In the construction of QSAR models for the prediction of molecular
activity, feature selection is a common task aimed at improving the results and
understanding of the problem. The selection of features allows elimination ...