Search Results - "Hemberg, Erik"

Evaluating efficacy of indoor non-pharmaceutical interventions against COVID-19 outbreaks with a coupled spatial-SIR agent-based simulation framework by Gunaratne, Chathika, Reyes, Rene, Hemberg, Erik, O’Reilly, Una-May

“…Contagious respiratory diseases, such as COVID-19, depend on sufficiently prolonged exposures for the successful transmission of the underlying pathogen. It is…”
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Evolving code with a large language model by Hemberg, Erik, Moskal, Stephen, O’Reilly, Una-May

“…Algorithms that use Large Language Models (LLMs) to evolve code arrived on the Genetic Programming (GP) scene very recently. We present LLM_GP, a general…”
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Adversarial genetic programming for cyber security: a rising application domain where GP matters by O’Reilly, Una-May, Toutouh, Jamal, Pertierra, Marcos, Sanchez, Daniel Prado, Garcia, Dennis, Luogo, Anthony Erb, Kelly, Jonathan, Hemberg, Erik

“…Cyber security adversaries and engagements are ubiquitous and ceaseless. We delineate Adversarial Genetic Programming for Cyber Security , a research topic…”
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Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification by Toutouh, Jamal, Nalluru, Subhash, Hemberg, Erik, O’Reilly, Una-May

“…Labeling images for classification can be expensive. Semi-Supervised Learning (SSL) Generative Adversarial Network (GAN) methods train good classifiers with a…”
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Discrete Planar Truss Optimization by Node Position Variation Using Grammatical Evolution by Fenton, Michael, McNally, Ciaran, Byrne, Jonathan, Hemberg, Erik, McDermott, James, O'Neill, Michael

“…The majority of existing discrete truss optimization methods focus primarily on optimizing global truss topology using a ground structure approach, in which…”
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Automatic innovative truss design using grammatical evolution by Fenton, Michael, McNally, Ciaran, Byrne, Jonathan, Hemberg, Erik, McDermott, James, O'Neill, Michael

“…Truss optimization in the field of Structural Engineering is a growing discipline. The application of Grammatical Evolution, a grammar-based form of Genetic…”
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Optimising complex pylon structures with grammatical evolution by Byrne, Jonathan, Fenton, Michael, Hemberg, Erik, McDermott, James, O’Neill, Michael

“…Evolutionary algorithms have proven their ability to optimise architectural designs but are limited by their representation, i.e., the structures that the…”
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Genotype representations in grammatical evolution by Hugosson, Jonatan, Hemberg, Erik, Brabazon, Anthony, O’Neill, Michael

“…Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of GE is that it adopts a distinction between the genotype and…”
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Detecting tax evasion: a co-evolutionary approach by Hemberg, Erik, Rosen, Jacob, Warner, Geoff, Wijesinghe, Sanith, O’Reilly, Una-May

“…We present an algorithm that can anticipate tax evasion by modeling the co-evolution of tax schemes with auditing policies. Malicious tax non-compliance, or…”
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A comparison of grammatical genetic programming grammars for controlling femtocell network coverage by Hemberg, Erik, Ho, Lester, O’Neill, Michael, Claussen, Holger

“…We study grammars used in grammatical genetic programming (GP) which create algorithms that control the base station pilot power in a femtocell network. The…”
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Adversarial Deep Learning for Robust Detection of Binary Encoded Malware by Al-Dujaili, Abdullah, Huang, Alex, Hemberg, Erik, O'Reilly, Una-May

“…Malware is constantly adapting in order to avoid detection. Model-based malware detectors, such as SVM and neural networks, are vulnerable to so-called…”
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MEA-NAP: A flexible network analysis pipeline for neuronal 2D and 3D organoid multielectrode recordings by Sit, Timothy P.H., Feord, Rachael C., Dunn, Alexander W.E., Chabros, Jeremi, Oluigbo, David, Smith, Hugo H., Burn, Lance, Chang, Elise, Boschi, Alessio, Yuan, Yin, Gibbons, George M., Khayat-Khoei, Mahsa, De Angelis, Francesco, Hemberg, Erik, Hemberg, Martin, Lancaster, Madeline A., Lakatos, Andras, Eglen, Stephen J., Paulsen, Ole, Mierau, Susanna B.

“…Microelectrode array (MEA) recordings are commonly used to compare firing and burst rates in neuronal cultures. MEA recordings can also reveal microscale…”
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A methodology for user directed search in evolutionary design by Byrne, Jonathan, Hemberg, Erik, O’Neill, Michael, Brabazon, Anthony

“…A designer should be able to express their intentions with a design tool. This work describes a methodology that enables the architect to directly interact…”
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Modeling tax evasion with genetic algorithms by Warner, Geoffrey, Wijesinghe, Sanith, Marques, Uma, Badar, Osama, Rosen, Jacob, Hemberg, Erik, O’Reilly, Una-May

“…The U.S. tax gap is estimated to exceed $450 billion, most of which arises from non-compliance on the part of individual taxpayers (GAO 2012 ; IRS 2006 ). Much…”
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Evolving Code with A Large Language Model by Hemberg, Erik, Moskal, Stephen, O'Reilly, Una-May

“…Algorithms that use Large Language Models (LLMs) to evolve code arrived on the Genetic Programming (GP) scene very recently. We present LLM GP, a formalized…”
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The Facebook Algorithm's Active Role in Climate Advertisement Delivery by Sankaranarayanan, Aruna, Hemberg, Erik, O'Reilly, Una-May

“…Communication strongly influences attitudes on climate change. Within sponsored communication, high spend and high reach advertising dominates. In the…”
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Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence by Hemberg, Erik, O'Reilly, Una-May

“…Artificial Intelligence (AI) and Machine Learning (ML) algorithms can support the span of indicator-level, e.g. anomaly detection, to behavioral level cyber…”
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LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing by Moskal, Stephen, Laney, Sam, Hemberg, Erik, O'Reilly, Una-May

“…In this paper, we explore the potential of Large Language Models (LLMs) to reason about threats, generate information about tools, and automate cyber…”
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Tracer spectrum: a visualisation method for distributed evolutionary computation by O’Neill, Michael, Brabazon, Anthony, Hemberg, Erik

“…We present a novel visualisation method for island-based evolutionary algorithms based on the concept of tracers as adopted in medicine and molecular biology…”
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Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks by Toutouh, Jamal, Hemberg, Erik, O'Reilly, Una-May

“…Generative adversary networks (GANs) suffer from training pathologies such as instability and mode collapse, which mainly arise from a lack of diversity in…”
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