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Pedro G. Ferreira
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2020 – today
- 2024
- [j7]Rogério Ribeiro, Athos Moraes, Marta Moreno, Pedro G. Ferreira:
Integration of multi-modal datasets to estimate human aging. Mach. Learn. 113(10): 7293-7317 (2024) - [j6]Deaglan J. Bartlett
, Harry Desmond
Exhaustive Symbolic Regression. IEEE Trans. Evol. Comput. 28(4): 950-964 (2024) - [i8]Deaglan J. Bartlett, Benjamin D. Wandelt, Matteo Zennaro, Pedro G. Ferreira, Harry Desmond:
syren-halofit: A fast, interpretable, high-precision formula for the ΛCDM nonlinear matter power spectrum. CoRR abs/2402.17492 (2024) - [i7]Andrei Constantin, Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira:
Statistical Patterns in the Equations of Physics and the Emergence of a Meta-Law of Nature. CoRR abs/2408.11065 (2024) - [i6]Ce Sui, Deaglan J. Bartlett, Shivam Pandey, Harry Desmond, Pedro G. Ferreira, Benjamin D. Wandelt:
syren-new: Precise formulae for the linear and nonlinear matter power spectra with massive neutrinos and dynamical dark energy. CoRR abs/2410.14623 (2024) - 2023
- [j5]Cláudia Brito
Privacy-Preserving Machine Learning on Apache Spark. IEEE Access 11: 127907-127930 (2023) - [j4]Delora Baptista
A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer. PLoS Comput. Biol. 19(3) (2023) - [c3]Athos Moraes
Predicting Age from Human Lung Tissue Through Multi-modal Data Integration. DS 2023: 644-658 - [c2]Deaglan J. Bartlett
Priors for symbolic regression. GECCO Companion 2023: 2402-2411 - [i5]Harry Desmond, Deaglan J. Bartlett
On the functional form of the radial acceleration relation. CoRR abs/2301.04368 (2023) - [i4]Deaglan J. Bartlett
Priors for symbolic regression. CoRR abs/2304.06333 (2023) - [i3]Tomás Sousa, Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira:
The Simplest Inflationary Potentials. CoRR abs/2310.16786 (2023) - [i2]Deaglan J. Bartlett, Lukas Kammerer, Gabriel Kronberger, Harry Desmond, Pedro G. Ferreira, Benjamin D. Wandelt, Bogdan Burlacu, David Alonso, Matteo Zennaro:
A precise symbolic emulator of the linear matter power spectrum. CoRR abs/2311.15865 (2023) - 2022
- [j3]Marta Moreno
Scalable transcriptomics analysis with Dask: applications in data science and machine learning. BMC Bioinform. 23(1): 514 (2022) - [d1]Delora Baptista
Data and trained models for "A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer". Zenodo, 2022 - [i1]Deaglan J. Bartlett
Exhaustive Symbolic Regression. CoRR abs/2211.11461 (2022) - 2021
- [j2]Delora Baptista
Deep learning for drug response prediction in cancer. Briefings Bioinform. 22(1): 360-379 (2021)
2010 – 2019
- 2017
- [j1]Xin Li
The impact of rare variation on gene expression across tissues. Nat. 550(7675): 239-243 (2017) - [c1]Vitor Teixeira, Rui Camacho
Learning influential genes on cancer gene expression data with stacked denoising autoencoders. BIBM 2017: 1201-1205
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