We present a novel approach to performing fitness approximation in genet...
Large language models (LLMs), designed to provide helpful and safe respo...
Modern image-to-text systems typically adopt the encoder-decoder framewo...
We survey eight recent works by our group, involving the successful blen...
Adversarial attacks on deep-learning models have been receiving increase...
We present Classy Ensemble, a novel ensemble-generation algorithm for
cl...
Deep neural networks (DNNs) have greatly impacted numerous fields over t...
Evolutionary Computation (EC) has been shown to be able to quickly train...
Deep neural networks (DNNs) are sensitive to adversarial data in a varie...
EC-KitY is a comprehensive Python library for doing evolutionary computa...
Hyperparameters in machine learning (ML) have received a fair amount of
...
We present a comprehensive, stacking-based framework for combining deep
...
When seeking a predictive model in biomedical data, one often has more t...
We have recently presented SAFE – Solution And Fitness Evolution – a
com...
We recently highlighted a fundamental problem recognized to confound
alg...
We present three evolutionary symbolic regression-based classification
a...
Activation functions (AFs), which are pivotal to the success (or failure...
Activation functions (AFs) play a pivotal role in the performance of neu...
Modifying standard gradient boosting by replacing the embedded weak lear...
Examining games from a fresh perspective we present the idea of game-ins...
In this paper a novel biclustering algorithm based on artificial intelli...
The practice of evolutionary algorithms involves the tuning of many
para...
While artificial intelligence (AI) has become widespread, many commercia...