72 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of OxfordGB5 papers
- University of YorkGB5 papers
- City, University of LondonGB2 papers
- Nankai UniversityCN2 papers
- AlbaNovaSE1 paper
- Coventry UniversityGB1 paper
- Guildford CollegeGB1 paper
- Hamburg University of TechnologyDE1 paper
- Imperial College LondonGB1 paper
- Leiden UniversityNL1 paper
- London Institute for Mathematical SciencesGB1 paper
- Max Planck Institute for MathematicsDE1 paper
12 papers
Exploratory Analysis of Cyberattack Patterns on E-Commerce Platforms Using Statistical Methods
Fatimo Adenike Adeniya
Cyberattacks on e-commerce platforms have grown in sophistication, threatening consumer trust and operational continuity. This research presents a hybrid analytical framework that…
Stability of abstract coupled systems
Serge Nicaise, Lassi Paunonen, David Seifert
We study stability of abstract differential equations coupled by means of a general algebraic condition. Our approach is based on techniques from operator theory and systems theory…
Almanac: MCMC-based signal extraction of power spectra and maps on the sphere
E. Sellentin, A. Loureiro, L. Whiteway +5
Inference in cosmology often starts with noisy observations of random fields on the celestial sphere, such as maps of the microwave background radiation, continuous maps of cosmic…
A Systematic Literature Review of the Tension between the GDPR and Public Blockchain Systems
Rahime Belen-Saglam, Enes Altuncu, Yang Lu +1
The blockchain technology has been rapidly growing since Bitcoin was invented in 2008. The most common type of blockchain systems, public (permisionless) blockchain systems have so…
Rational partition models under iterative proportional scaling
Jane Ivy Coons, Carlotta Langer, Michael Ruddy
In this work we investigate partition models, the subset of log-linear models for which one can perform the iterative proportional scaling (IPS) algorithm to numerically compute th…
Cluster Algebras: Network Science and Machine Learning
Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes +1
Cluster algebras have recently become an important player in mathematics and physics. In this work, we investigate them through the lens of modern data science, specifically with t…
Therapeutic Interfering Particles Exploiting Viral Replication and Assembly Mechanisms Show Promising Performance: A Modelling Study
Farzad Fatehi, Richard J. Bingham, Pierre-Philippe Dechant +2
Defective interfering particles arise spontaneously during a viral infection as mutants lacking essential parts of the viral genome. Their ability to replicate in the presence of t…
Clifford spinors and root system induction: and the Grand Antiprism
Pierre-Philippe Dechant
Recent work has shown that every 3D root system allows the construction of a correponding 4D root system via an `induction theorem'. In this paper, we look at the icosahedral case…
WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments
Uche Onyekpe, Vasile Palade, Anuradha Herath +2
In this paper, a deep learning approach is proposed to accurately position wheeled vehicles in Global Navigation Satellite Systems (GNSS) deprived environments. In the absence of G…
Generalized Cut Polytopes for Binary Hierarchical Models
Jane Ivy Coons, Joseph Cummings, Benjamin Hollering +1
Marginal polytopes are important geometric objects that arise in statistics as the polytopes underlying hierarchical log-linear models. These polytopes can be used to answer geomet…
Machine-learning a virus assembly fitness landscape
Pierre-Philippe Dechant, Yang-Hui He
Realistic evolutionary fitness landscapes are notoriously difficult to construct. A recent cutting-edge model of virus assembly consists of a dodecahedral capsid with correspo…
From the Trinity to an ADE correspondence
Pierre-Philippe Dechant
In this paper we present novel correspondences by combining an earlier induction theorem of ours with one of Arnold's observations concerning Trinities, and the McKay corresp…