Daniele M. Papetti
Orcid: 0000-0002-3574-6027
According to our database1,
Daniele M. Papetti
authored at least 12 papers
between 2020 and 2023.
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Timeline
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2021
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2023
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Bibliography
2023
Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning.
Frontiers Bioinform., May, 2023
An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar.
Comput. Methods Programs Biomed., February, 2023
Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming.
IEEE Comput. Intell. Mag., February, 2023
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
2021
A comparison of multi-objective optimization algorithms to identify drug target combinations.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021
If You Can't Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling.
Entropy, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Which random is the best random? A study on sampling methods in Fourier surrogate modeling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020