The early discovery of factors that compromise a civil infrastructure's structural integrity
allows for safety monitoring, timely prevention, and a prompt remedy to the discovered …

Fire is among the most dangerous and devastating natural hazards in forest ecosystems
around the world. The development of computational ensemble models for improving the …

Multi-target regression (MTR) comprises the prediction of multiple continuous target
variables from a common set of input variables. There are two major challenges when …

Multilabel classification deals with instances assigned with multiple labels simultaneously. It
focuses on learning a map** from feature space to label a space for out-of-sample …

Estimating software effort has been a largely unsolved problem for decades. One of the main
reasons that hinders building accurate estimation models is the often heterogeneous nature …

Rock mass is a complex structure and its mechanical behavior is significantly influenced by
the joint frequency and orientation. The evaluation of rock mass strength is a key element in …

The background field of marine gravity anomaly from satellite altimetry is an important data
support for gravity-aided navigation of underwater vehicles. To achieve long-endurance and …

Accurate prediction of stable alluvial hydraulic geometry, in which erosion and
sedimentation are in equilibrium, is one of the most difficult but critical topics in the field of …

Abstract Multi-Target Regression problem comprises the prediction of multiple continuous
variables given a common set of input features, unlike traditional regression tasks, where …

The multi-target regression problem comprises the prediction of multiple continuous
variables at the same time using a common set of input variables, and in the last few years …