output
20202026
most citedThe importance of transparency and reproducibility in artificial intelligence research

533 citations

13 papers

stat.AP2026

Spatio-temporal modeling of urban extreme rainfall events at high resolution

Chloé Serre-Combe, Nicolas Meyer, Thomas Opitz +1

Modeling precipitation and its accumulation over time and space is essential for flood risk assessment. In this paper, we analyze rainfall data collected over several years through…

math.AP2025

Analysis of linear Boussinesq-type models coupled with static interfaces

José Galaz, Maria Kazolea, Antoine Rousseau

We derive a new approach to analyze the coupling of linear Boussinesq and Saint-Venant shallow water wave equations in the case where the interface remains at a constant position i…

physics.acc-ph2024

Circular Modes for Mitigating Space-Charge effects and enabling Flat Beams

Onur Gilanliogullari, Brahim Mustapha, Pavel Snopok

Flat beams are preferred in high-intensity accelerators and high-energy colliders due to one of the transverse plane emittances being much smaller than the other, which enhances lu…

math.ST2024

Tree Pólya Splitting distributions for multivariate count data

Samuel Valiquette, Jean Peyhardi, Éric Marchand +2

In this article, we develop a new class of multivariate distributions adapted for count data, called Tree Pólya Splitting. This class results from the combination of a univariate d…

math.ST2023

Asymptotic tail properties of Poisson mixture distributions

Samuel Valiquette, Gwladys Toulemonde, Jean Peyhardi +2

Count data are omnipresent in many applied fields, often with overdispersion. With mixtures of Poisson distributions representing an elegant and appealing modelling strategy, we fo…

q-bio.BM2022★ 23 cited

The Coming of Age of Nucleic Acid Vaccines during COVID-19

Halie M. Rando, Ronan Lordan, Likhitha Kolla +8

In the 21st century, several emergent viruses have posed a global threat. Each pathogen has emphasized the value of rapid and scalable vaccine development programs. The ongoing SAR…

q-bio.OT2022★ 22 cited

Application of Traditional Vaccine Development Strategies to SARS-CoV-2

Halie M. Rando, Ronan Lordan, Alexandra J. Lee +7

Over the past 150 years, vaccines have revolutionized the relationship between people and disease. During the COVID-19 pandemic, technologies such as mRNA vaccines have received at…

math.ST2022

Choice of mixture Poisson models based on Extreme value theory

Samuel Valiquette, Frédéric Mortier, Jean Peyhardi +1

Count data are omnipresent in many applied fields, often with overdispersion due to an excess of zeroes or extreme values. With mixtures of Poisson distributions representing an el…

q-bio.QM2021★ 18 cited

Identification and Development of Therapeutics for COVID-19

Halie M. Rando, Nils Wellhausen, Soumita Ghosh +21

After emerging in China in late 2019, the novel Severe acute respiratory syndrome-like coronavirus 2 (SARS-CoV-2) spread worldwide and as of early 2021, continues to significantly…

q-bio.QM2021★ 125 cited

Dietary Supplements and Nutraceuticals Under Investigation for COVID-19 Prevention and Treatment

Ronan Lordan, Halie M. Rando, COVID-19 Review Consortium +1

Coronavirus disease 2019 (COVID-19) has caused global disruption and a significant loss of life. Existing treatments that can be repurposed as prophylactic and therapeutic agents c…

q-bio.QM2021★ 2 cited

Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2 through Analysis of Viral Genomics and Structure

Halie M. Rando, Adam L. MacLean, Alexandra J. Lee +31

The novel coronavirus SARS-CoV-2, which emerged in late 2019, has since spread around the world and infected hundreds of millions of people with coronavirus disease 2019 (COVID-19)…

physics.chem-ph2020★ 4 cited

Ultraintense, ultrashort pulse x-ray scattering in small molecules

Phay J. Ho, Adam E. A. Fouda, Kai Li +2

We examine x-ray scattering from an isolated organic molecule from the linear to nonlinear absorptiveregime. In the nonlinear regime, we explore the importance of both the elastic…

stat.AP2020★ 533 cited

The importance of transparency and reproducibility in artificial intelligence research

Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny +17

In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening. However, the lack of detailed methods and computer code undermines…