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Profil bibliographique

Russell Bradford

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

86Publications signalées
1070Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Polynomial and algebraic computationAdvanced Numerical Analysis TechniquesLogic, programming, and type systemsFormal Methods in VerificationNumerical Methods and Algorithms

Les publications récentes

Accès ouvert 2026 other OpenAlex

NESP MaC Project 3.13 - Eastern Grey Nurse Shark population abundance and trend, 2023-2025 (CSIRO, NSW DPI)

Russell Bradford, David Harasti, Emma L. Westlake, Pierre Feutry et autres

Grey nurse sharks are a nationally significant threatened species, with Australia’s eastern population listed as Critically Endangered under the EPBC Act. The Recovery Plan for the Grey Nurse Shark identifies the need for robust estimates of abundance, population trend, age structure, survival …

0 citations Institute of Marine and Antarctic Studies - University of Tasmania
Accès ouvert 2026 article OpenAlex

Form, Function and Feeding: Changes in Tooth Size and Shape Associated With Ontogenetic Changes in Prey Consumption by Australian White Sharks ( Carcharodon carcharias )

Emily Hunt, Yuri Niella, Amy F. Smoothey, Ezequiel M. Marzinelli et autres

ABSTRACT White sharks undergo pronounced ecological and dietary shifts across ontogeny, and their teeth play a central role in mediating these changes. Understanding the complexity within shark tooth and jaw mechanics, plus the fine‐scale tooth morphology, can provide insights into how feeding …

au (code pays fourni par la source)

5 citations Ecology and Evolution
2021 article OpenAlex

The DEWCAD project

Russell Bradford, James H. Davenport, Matthew England, AmirHosein Sadeghimanesh et autres

This abstract seeks to introduce the ISSAC community to the DEWCAD project, which is based at Coventry University and the University of Bath, in the United Kingdom. The project seeks to push back the Doubly Exponential Wall of Cylindrical Algebraic Decomposition, through …

gb (code pays fourni par la source)

3 citations ACM communications in computer algebra
Accès ouvert 2021 preprint OpenAlex

The DEWCAD Project: Pushing Back the Doubly Exponential Wall of Cylindrical Algebraic Decomposition

Russell Bradford, James H. Davenport, Matthew England, AmirHosein Sadeghimanesh et autres

This abstract seeks to introduce the ISSAC community to the DEWCAD project, which is based at Coventry University and the University of Bath, in the United Kingdom. The project seeks to push back the Doubly Exponential Wall of Cylindrical Algebraic Decomposition, through …

gb (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2019 preprint OpenAlex

Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?

Russell Bradford, Chris Sangwin, Supreeth P. Shashikumar, Shamim Nemati

From 2017 to 2018 the number of scientific publications found via PubMed search using the keyword Machine Learning increased by 46% (4,317 to 6,307). results of studies involving machine learning, artificial intelligence (AI), and big data have captured the attention of healthcare …

9 citations arXiv (Cornell University)
Accès ouvert 2019 dataset OpenAlex

Dataset supporting the paper: "Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks"

Russell Bradford, James H. Davenport, Matthew England, H. Erramii et autres

Dataset supporting the paper: Russell Bradford, James H. Davenport, Matthew England, Hassan Errami, Vladimir Gerdt, Dima Grigoriev, Charles Hoyt, Marek Košta, Ovidiu Radulescu, Thomas Sturm, and Andreas Weber. Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks. To appear …

gb, de, sk, fr (code pays fourni par la source)

0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2019 dataset OpenAlex

Dataset supporting the paper: "Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks"

Russell Bradford, James H. Davenport, Matthew England, H. Erramii et autres

Dataset supporting the paper: Russell Bradford, James H. Davenport, Matthew England, Hassan Errami, Vladimir Gerdt, Dima Grigoriev, Charles Hoyt, Marek Košta, Ovidiu Radulescu, Thomas Sturm, and Andreas Weber. Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks. To appear …

gb, de, sk, fr (code pays fourni par la source)

0 citations Figshare
Accès ouvert 2019 dataset OpenAlex

Dataset supporting the paper: "Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks"

Russell Bradford, James H. Davenport, Matthew England, H. Erramii et autres

Dataset supporting the paper: Russell Bradford, James H. Davenport, Matthew England, Hassan Errami, Vladimir Gerdt, Dima Grigoriev, Charles Hoyt, Marek Košta, Ovidiu Radulescu, Thomas Sturm, and Andreas Weber. Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks. To appear …

gb, de, sk, fr (code pays fourni par la source)

0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2018 preprint OpenAlex

Non-linear Real Arithmetic Benchmarks derived from Automated Reasoning in Economics

Casey B. Mulligan, Russell Bradford, James H. Davenport, Matthew England et autres

We consider problems originating in economics that may be solved automatically using mathematical software. We present and make freely available a new benchmark set of such problems. The problems have been shown to fall within the framework of non-linear real arithmetic, and …

us, gb (code pays fourni par la source)

2 citations arXiv (Cornell University)
Accès ouvert 2018 preprint OpenAlex

Non-linear Real Arithmetic Benchmarks derived from Automated Reasoning\n in Economics

Casey B. Mulligan, Russell Bradford, James H. Davenport, Matthew England et autres

We consider problems originating in economics that may be solved\nautomatically using mathematical software. We present and make freely available\na new benchmark set of such problems. The problems have been shown to fall\nwithin the framework of non-linear real arithmetic, and so are in …

0 citations arXiv (Cornell University)

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