Pedro G. Ferreira

23 papers B 1Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploiting Trusted Execution Environments and Distributed Computation for Genomic Association Tests.
IEEE J. Biomed. Health Informatics
Cláudia Brito, Pedro G. Ferreira, João Tiago Paulo
2025 J jnl
Constraining dark matter halo profiles with symbolic regression.
CoRR
Alicia Martín, Tariq Yasin, Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira
2025 J jnl
Introduction to Symbolic Regression in the Physical Sciences.
CoRR
Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira, Gabriel Kronberger
2025 J jnl
syren-baryon: Analytic emulators for the impact of baryons on the matter power spectrum.
CoRR
Lukas Kammerer, Deaglan J. Bartlett, Gabriel Kronberger, Harry Desmond, Pedro G. Ferreira
2024 J jnl
APAtizer: a tool for alternative polyadenylation analysis of RNA-Seq data.
Bioinform.
Bruno Sousa, Maria Bessa, Filipa L. de Mendonça, Pedro G. Ferreira, Alexandra Moreira, Isabel Pereira-Castro
2024 J jnl
Exhaustive Symbolic Regression.
IEEE Trans. Evol. Comput.
Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira
2024 J jnl
Integration of multi-modal datasets to estimate human aging.
Mach. Learn.
Rogério Ribeiro, Athos Moraes, Marta Moreno, Pedro G. Ferreira
2024 J jnl
Statistical Patterns in the Equations of Physics and the Emergence of a Meta-Law of Nature.
CoRR
Andrei Constantin, Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira
2024 J jnl
syren-halofit: A fast, interpretable, high-precision formula for the ΛCDM nonlinear matter power spectrum.
CoRR
Deaglan J. Bartlett, Benjamin D. Wandelt, Matteo Zennaro, Pedro G. Ferreira, Harry Desmond
2024 J jnl
syren-new: Precise formulae for the linear and nonlinear matter power spectra with massive neutrinos and dynamical dark energy.
CoRR
Ce Sui, Deaglan J. Bartlett, Shivam Pandey, Harry Desmond, Pedro G. Ferreira, Benjamin D. Wandelt
2023 J jnl
A precise symbolic emulator of the linear matter power spectrum.
CoRR
Deaglan J. Bartlett, Lukas Kammerer, Gabriel Kronberger, Harry Desmond, Pedro G. Ferreira, Benjamin D. Wandelt, Bogdan Burlacu, David Alonso, Matteo Zennaro
2023 J jnl
A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer.
PLoS Comput. Biol.
Delora Baptista, Pedro G. Ferreira, Miguel Rocha
2023 J jnl
On the functional form of the radial acceleration relation.
CoRR
Harry Desmond, Deaglan J. Bartlett, Pedro G. Ferreira
2023 B conf
Predicting Age from Human Lung Tissue Through Multi-modal Data Integration.
DS
Athos Moraes, Marta Moreno, Rogério Ribeiro, Pedro G. Ferreira
2023 — conf
Priors for symbolic regression.
GECCO Companion
Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira
2023 J jnl
Priors for symbolic regression.
CoRR
Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira
2023 J jnl
Privacy-Preserving Machine Learning on Apache Spark.
IEEE Access
Cláudia Brito, Pedro G. Ferreira, Bernardo Portela, Rui Carlos Oliveira, João Tiago Paulo
2023 J jnl
The Simplest Inflationary Potentials.
CoRR
Tomás Sousa, Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira
2022 J jnl
Exhaustive Symbolic Regression.
CoRR
Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira
2022 J jnl
Scalable transcriptomics analysis with Dask: applications in data science and machine learning.
BMC Bioinform.
Marta Moreno, Ricardo Vilaça, Pedro G. Ferreira
2021 J jnl
Deep learning for drug response prediction in cancer.
Briefings Bioinform.
Delora Baptista, Pedro G. Ferreira, Miguel Rocha
2017 — conf
Learning influential genes on cancer gene expression data with stacked denoising autoencoders.
BIBM
Vitor Teixeira, Rui Camacho, Pedro G. Ferreira
2017 J jnl
The impact of rare variation on gene expression across tissues.
Nat.
Xin Li, Yungil Kim, Emily K. Tsang, Joe R. Davis, Farhan N. Damani, Colby Chiang, Gaelen T. Hess, Zachary Zappala, Benjamin J. Strober, Alexandra J. Scott, Amy Li, Andrea Ganna, Michael C. Bassik, Jason D. Merker, François Aguet, Kristin G. Ardlie, Beryl B. Cummings, Ellen T. Gelfand, Gad Getz, Kane Hadley, Robert E. Handsaker, Katherine H. Huang, Seva Kashin, Konrad J. Karczewski, Monkol Lek, Xiao Li, Daniel G. MacArthur, Jared L. Nedzel, Duyen T. Nguyen, Michael S. Noble, Ayellet V. Segrè, Casandra A. Trowbridge, Taru Tukiainen, Nathan S. Abell, Brunilda Balliu, Ruth Barshir, Omer Basha, Alexis J. Battle, Gireesh K. Bogu, Andrew Brown, Christopher D. Brown, Stephane E. Castel, Lin S. Chen, Donald F. Conrad, Nancy J. Cox, Olivier Delaneau, Emmanouil T. Dermitzakis, Barbara E. Engelhardt, Eleazar Eskin, Pedro G. Ferreira, Laure Frésard, Eric R. Gamazon, Diego Garrido-Martín, Ariel D. H. Gewirtz, Genna Gliner, Michael J. Gloudemans, Roderic Guigó, Ira M. Hall, Buhm Han, Yuan He, Farhad Hormozdiari, Cedric Howald, Hae Kyung Im, Brian Jo, Eun Yong Kang, Sarah Kim-Hellmuth, Tuuli Lappalainen, Gen Li, Boxiang Liu, Serghei Mangul, Mark I. McCarthy, Ian C. McDowell, Pejman Mohammadi, Jean Monlong, Stephen B. Montgomery