Explainable artificial intelligence (XAI) has received great interest in the recent decade, due
to its importance in critical application domains, such as self-driving cars, law, and …

Deep learning (DL), a new generation of artificial neural network research, has transformed
industries, daily lives, and various scientific disciplines in recent years. DL represents …

The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …

Genetic programming has highlighted the problem of bloat, the uncontrolled growth of the
average size of an individual in the population. The most common approach to dealing with …

Bloat is an excess of code growth without a corresponding improvement in fitness. This is a
serious problem in Genetic Programming, often leading to the stagnation of the evolutionary …

Abstract Machine learning (ML) models trained for triggering clinical decision support (CDS)
are typically either accurate or interpretable but not both. Scaling CDS to the panoply of …

Abstract Intensity-duration-frequency (IDF) curves are commonly used in engineering
planning and design. Considering the possible effects of climate change on extreme …

We use genetic programming (GP) to determine the deformation modulus of rock masses. A
database of 150 data sets, including modulus of elasticity of intact rock (Ei), uniaxial …

Bloat can be defined as an excess of code growth without a corresponding improvement in
fitness. This problem has been one of the most intensively studied subjects since the …

Saturated hydraulic conductivity (Ks) is one of the key parameters in modeling solute and
water movement in the vadose zone. Field and laboratory measurement of Ks is time …