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09/06/2023
Fitness Approximation through Machine Learning
We present a novel approach to performing fitness approximation in genet...
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09/04/2023
Open Sesame! Universal Black Box Jailbreaking of Large Language Models
Large language models (LLMs), designed to provide helpful and safe respo...
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06/13/2023
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models
Modern image-to-text systems typically adopt the encoder-decoder framewo...
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06/08/2023
A Melting Pot of Evolution and Learning
We survey eight recent works by our group, involving the successful blen...
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03/07/2023
Patch of Invisibility: Naturalistic Black-Box Adversarial Attacks on Object Detectors
Adversarial attacks on deep-learning models have been receiving increase...
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02/21/2023
Classy Ensemble: A Novel Ensemble Algorithm for Classification
We present Classy Ensemble, a novel ensemble-generation algorithm for cl...
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11/27/2022
Foiling Explanations in Deep Neural Networks
Deep neural networks (DNNs) have greatly impacted numerous fields over t...
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09/08/2022
Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution
Evolutionary Computation (EC) has been shown to be able to quickly train...
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08/17/2022
An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks
Deep neural networks (DNNs) are sensitive to adversarial data in a varie...
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07/21/2022
EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning Integration
EC-KitY is a comprehensive Python library for doing evolutionary computa...
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07/13/2022
High Per Parameter: A Large-Scale Study of Hyperparameter Tuning for Machine Learning Algorithms
Hyperparameters in machine learning (ML) have received a fair amount of ...
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07/08/2022
Combining Deep Learning with Good Old-Fashioned Machine Learning
We present a comprehensive, stacking-based framework for combining deep ...
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06/30/2022
Automatically Balancing Model Accuracy and Complexity using Solution and Fitness Evolution (SAFE)
When seeking a predictive model in biomedical data, one often has more t...
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06/25/2022
Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems
We have recently presented SAFE – Solution And Fitness Evolution – a com...
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06/25/2022
Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions
We recently highlighted a fundamental problem recognized to confound alg...
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06/25/2022
Binary and Multinomial Classification through Evolutionary Symbolic Regression
We present three evolutionary symbolic regression-based classification a...
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06/24/2022
Neural Networks with A La Carte Selection of Activation Functions
Activation functions (AFs), which are pivotal to the success (or failure...
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06/24/2022
Evolution of Activation Functions for Deep Learning-Based Image Classification
Activation functions (AFs) play a pivotal role in the performance of neu...
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06/24/2022
Symbolic-Regression Boosting
Modifying standard gradient boosting by replacing the embedded weak lear...
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06/07/2018
Gamorithm
Examining games from a fresh perspective we present the idea of game-ins...
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01/09/2018
EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery
In this paper a novel biclustering algorithm based on artificial intelli...
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06/13/2017
Investigating the Parameter Space of Evolutionary Algorithms
The practice of evolutionary algorithms involves the tuning of many para...
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05/01/2017
