Daniel Killeen
Orcid: 0000-0002-4898-6724
According to our database1,
Daniel Killeen
authored at least 7 papers
between 2021 and 2025.
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Bibliography
2025
Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives.
CoRR, May, 2025
Genetic Programming for High-Level Multi-Spectral Data Fusion in Fish Biochemical Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025
2024
Machine Learning for Raman Spectroscopy-Based Cyber-Marine Fish Biochemical Composition Analysis.
Proceedings of the Neural Information Processing - 31st International Conference, 2024
Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2022
A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022
Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
2021
Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021