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Search-Based Software Engineering: 13th International Symposium, SSBSE 2021, Bari, Italy, October 11-12, 2021, Proceedings

1, 2021

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Evaluating efficacy of indoor non-pharmaceutical interventions against COVID-19 outbreaks with a coupled spatial-SIR agent-based simulation framework

Scientific reports, 2022-04, Vol.12 (1), p.6202-6202, Article 6202

2022

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Comprehension of computer code relies primarily on domain-general executive brain regions

eLife, 2020-12, Vol.9

2020

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Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification

Applied soft computing, 2023-11, Vol.148, p.110890, Article 110890

2023

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OpenTuner: an extensible framework for program autotuning

2014 23rd International Conference on Parallel Architecture and Compilation Techniques (PACT), 2014, p.303-316

2014

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Adversarial agent-learning for cybersecurity: a comparison of algorithms

Knowledge engineering review, 2023-01, Vol.38, Article e3

2023

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Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury

Clinical neurophysiology, 2019-10, Vol.130 (10), p.1908-1916

2019

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Evolving code with a large language model

Genetic programming and evolvable machines, 2024-12, Vol.25 (2), Article 21

2024

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Better GP benchmarks: community survey results and proposals

Genetic programming and evolvable machines, 2013-03, Vol.14 (1), p.3-29

2013

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Learning a goal-oriented model for energy efficient adaptive applications in data centers

Information sciences, 2015-10, Vol.319, p.152-170

2015

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On the application of Danskin’s theorem to derivative-free minimax problems

AIP Conference Proceedings, 2019, Vol.2070 (1)

2019

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Adversarial genetic programming for cyber security: a rising application domain where GP matters

Genetic programming and evolvable machines, 2020-06, Vol.21 (1-2), p.219-250

2020

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Enhancements to Threat, Vulnerability, and Mitigation Knowledge for Cyber Analytics, Hunting, and Simulations

Digital threats (Print), 2024-03, Vol.5 (1), p.1-33, Article 8

2024

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Using reinforcement learning to optimize occupant comfort and energy usage in HVAC systems

Journal of ambient intelligence and smart environments, 2014, Vol.6 (6), p.675-690

2014

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Improving Genetic Programming with Novel Exploration - Exploitation Control

Genetic Programming, p.64-80

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The Max problem revisited: The importance of mutation in genetic programming

Theoretical computer science, 2014-08, Vol.545, p.94-107

2014

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Exploiting Knowledge from Code to Guide Program Search

Genetic Programming, p.262-277

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Getting a Head Start on Program Synthesis with Genetic Programming

Genetic Programming, p.263-279

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Adversarial Deep Learning for Robust Detection of Binary Encoded Malware

2018 IEEE Security and Privacy Workshops (SPW), 2018, p.76-82

2018

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FlexGP

Journal of grid computing, 2015-09, Vol.13 (3), p.391-407

2015

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Detecting tax evasion: a co-evolutionary approach

Artificial intelligence and law, 2016-06, Vol.24 (2), p.149-182

2016

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Multivariate Time-Series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection

IEEE sensors letters, 2019-01, Vol.3 (1), p.1-4

2019

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Genetic Programming Theory and Practice II

1, 2004

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Spatial evolutionary generative adversarial networks

Proceedings of the Genetic and Evolutionary Computation Conference, 2019, p.472-480

2019

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Building Predictive Models via Feature Synthesis

Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015, p.983-990

2015

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Search-Based Software Engineering: 13th International Symposium, SSBSE 2021, Bari, Italy, October 11-12, 2021, Proceedings

Evaluating efficacy of indoor non-pharmaceutical interventions against COVID-19 outbreaks with a coupled spatial-SIR agent-based simulation framework

Comprehension of computer code relies primarily on domain-general executive brain regions

Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification

OpenTuner: an extensible framework for program autotuning

Adversarial agent-learning for cybersecurity: a comparison of algorithms

Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury

Evolving code with a large language model

Better GP benchmarks: community survey results and proposals

Learning a goal-oriented model for energy efficient adaptive applications in data centers

On the application of Danskin’s theorem to derivative-free minimax problems

Adversarial genetic programming for cyber security: a rising application domain where GP matters

Enhancements to Threat, Vulnerability, and Mitigation Knowledge for Cyber Analytics, Hunting, and Simulations

Using reinforcement learning to optimize occupant comfort and energy usage in HVAC systems

Improving Genetic Programming with Novel Exploration - Exploitation Control

The Max problem revisited: The importance of mutation in genetic programming

Exploiting Knowledge from Code to Guide Program Search

Getting a Head Start on Program Synthesis with Genetic Programming

Adversarial Deep Learning for Robust Detection of Binary Encoded Malware

FlexGP

Detecting tax evasion: a co-evolutionary approach

Multivariate Time-Series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection

Genetic Programming Theory and Practice II

Spatial evolutionary generative adversarial networks

Building Predictive Models via Feature Synthesis

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