activity
19972023
most citedSynchronization in small-world systems

1.6k citations · 4.2k across the 72 of their papers we have counts for

collaborators

76 papers

q-fin.ST2023

Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions

Thomas Wong, Mauricio Barahona

This paper is a work in progress. We are looking for collaborators to provide us financial datasets in Equity/Futures market to conduct more bench-marking studies. The authors have…

cs.CL2020

Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles

M. Tarik Altuncu, Sophia N. Yaliraki, Mauricio Barahona

Production of news content is growing at an astonishing rate. To help manage and monitor the sheer amount of text, there is an increasing need to develop efficient methods that can…

q-bio.MN2020

Computation of single-cell metabolite distributions using mixture models

Mona K Tonn, Philipp Thomas, Mauricio Barahona +1

Metabolic heterogeneity is widely recognised as the next challenge in our understanding of non-genetic variation. A growing body of evidence suggests that metabolic heterogeneity m…

physics.soc-ph2020★ 1 cited

Network memory in the movement of hospital patients carrying drug-resistant bacteria

Ashleigh C. Myall, Robert L. Peach, Andrea Y. Weiße +4

Hospitals constitute highly interconnected systems that bring into contact an abundance of infectious pathogens and susceptible individuals, thus making infection outbreaks both co…

stat.ME2020

Kernel Two-Sample and Independence Tests for Non-Stationary Random Processes

Felix Laumann, Julius von Kügelgen, Mauricio Barahona

Two-sample and independence tests with the kernel-based MMD and HSIC have shown remarkable results on i.i.d. data and stationary random processes. However, these statistics are not…

cs.SI2020

Data-driven modelling and characterisation of task completion sequences in online courses

Robert L. Peach, Sam F. Greenbury, Iain G. Johnston +3

The intrinsic temporality of learning demands the adoption of methodologies capable of exploiting time-series information. In this study we leverage the sequence data framework and…