8 citations · 12 across the 4 of their papers we have counts for
7 papers
Epidemic Models for COVID-19 during the First Wave from February to May 2020: a Methodological Review
Marie Garin, Myrto Limnios, Alice Nicolaï +12
We review epidemiological models for the propagation of the COVID-19 pandemic during the early months of the outbreak: from February to May 2020. The aim is to propose a methodolog…
Efficient stream-based Max-Min diversification with minimal failure rate
Argyris Kalogeratos, Yutai Nazir Zhao, Mathilde Fekom
The streaming max-min diversification problem concerns the selection of a limited and diverse sample of items out of a data stream of known finite length. The objective to be maxim…
Dynamic Epidemic Control via Sequential Resource Allocation
Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
In the Dynamic Resource Allocation (DRA) problem, an administrator has to allocate a limited amount of resources to the nodes of a network in order to reduce a diffusion process (D…
Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection
Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
In this paper we present the Warm-starting Dynamic Thresholding algorithm, developed using dynamic programming, for a variant of the standard online selection problem. The problem…
Sequential Dynamic Resource Allocation for Epidemic Control
Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
Under the Dynamic Resource Allocation (DRA) model, an administrator has the mission to allocate dynamically a limited budget of resources to the nodes of a network in order to redu…
The Warm-starting Sequential Selection Problem and its Multi-round Extension
Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
In the Sequential Selection Problem (SSP), immediate and irrevocable decisions need to be made as candidates randomly arrive for a job interview. Standard SSP variants, such as the…
Exactly Solvable Random Graph Ensemble with Extensively Many Short Cycles
Fabian Aguirre Lopez, Paolo Barucca, Mathilde Fekom +1
We introduce and analyse ensembles of 2-regular random graphs with a tuneable distribution of short cycles. The phenomenology of these graphs depends critically on the scaling of t…