Generalized Additive Models (GAMs) are widely used explainable-by-design...
Accumulated Local Effects (ALE) is a widely-used explainability method f...
During the past decade, deep neural networks have led to fast-paced prog...
Anomaly Detection in multivariate time series is a major problem in many...
Deep learning-based person identification and verification systems have
...
In search of robust and generalizable machine learning models, Domain
Ge...
Treatment effect estimation is of high-importance for both researchers a...
Bias in computer vision systems can perpetuate or even amplify discrimin...
In the past decade, deep convolutional neural networks have achieved
sig...
Despite their immense success in numerous fields, machine and deep learn...
Oblivious inference is the task of outsourcing a ML model, like
neural-n...
Accumulated Local Effect (ALE) is a method for accurately estimating fea...
Estimation of causal effects is the core objective of many scientific
di...
Heart murmurs are abnormal sounds present in heartbeats, caused by turbu...
Deep Learning systems have achieved great success in the past few years,...
Convolutional Neural Networks have become the norm in image classificati...
The progress in artificial intelligence and machine learning algorithms ...
Nowadays, in many scientific and industrial fields there is an increasin...
The importance of automated and objective monitoring of dietary behavior...
The increased worldwide prevalence of obesity has sparked the interest o...
Obesity is currently affecting very large portions of the global populat...
Obesity affects a rising percentage of the children and adolescent
popul...
Obesity is a complex disease and its prevalence depends on multiple fact...
The way we eat and what we eat, the way we move and the way we sleep
sig...
Weighted SVM (or fuzzy SVM) is the most widely used SVM variant owning i...
This paper introduces a family of local feature aggregation functions an...