Daniel Killeen
Orcid: 0000-0002-4898-6724
According to our database1,
Daniel Killeen authored at least 10 papers
between 2021 and 2026.
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Bibliography
2026
Evolutionary multitasking for multi-objective feature selection in fish chemical analysis.
Appl. Soft Comput., 2026
2025
Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives.
CoRR, May, 2025
From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025
Designing New Data Augmentation Functions for Fish Spectral Data by Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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