The deep lasso algorithm (dlasso) is introduced as a neural version of the statistical linear
lasso algorithm that holds benefits from both methodologies: feature selection and automatic …

The thesis is being carried out with the National research Council at the Institute of
Biomedicine and Molecular Immunology" Alberto Monroy" of Palermo, where I am a fellow …

In recent years, there has been a growing interest in establishing bridges between statistics
and neural networks. This article focuses on the adaptation of the widely used lasso …

In recent years, there is a growing interest in combining techniques attributed to the areas of
Statistics and Machine Learning in order to obtain the benefits of both approaches. In this …

Lasso-type variable selection has been demonstrated to be effective in handling high-
dimensional data. From the biological perspective, traditional Lasso-type models are …

A central nervous system known as an Autism Spectrum Disorder (ASD) has long-term
effects on a person's capacity for engagement and interaction with others. Since its …

Speech, social skills, non-verbal communication, and repetitive activities are all indicators of
autism spectrum disorder (ASD), a disease classified as a spectrum disorder by the DSM-5 …

ABSTRACT Autism Spectrum Disorder (ASD) is a neuropsychiatric disorder associated with
significant social, communication, and behavioral challenges. Neither the cause nor the cure …

Lasso is a widely used regression technique to find sparse representations. When the
dimension of the feature space and the number of samples are extremely large, solving the …

Autism Spectrum Disorder (ASD) is a neuro developmental disorder that affects a person's
ability to communicate and interact with others for rest of the life. It affects a person's …