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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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08/30/2023
Provengo: A Tool Suite for Scenario Driven Model-Based Testing
We present Provengo, a comprehensive suite of tools designed to facilita...
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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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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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04/30/2022
What Petri Net Obliges Us to Say
We identify and demonstrate a weakness of Petri Nets (PN) in specifying ...
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02/09/2022
Scenario-Assisted Deep Reinforcement Learning
Deep reinforcement learning has proven remarkably useful in training age...
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01/03/2022
Combinatorial Sequence Testing Using Behavioral Programming and Generalized Coverage Criteria
This paper tackles three main issues regarding test design: (1) it propo...
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07/30/2020
Evolving Context-Aware Recommender Systems With Users in Mind
A context-aware recommender system (CARS) applies sensing and analysis o...
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05/05/2020