research
∙
01/08/2023
Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation
Consider each node of a graph to be generating a data stream that is syn...
share
research
∙
10/21/2022
DeGroot-based opinion formation under a global steering mechanism
In this paper we investigate how interacting agents arrive to a consensu...
research
∙
10/07/2022
To tree or not to tree? Assessing the impact of smoothing the decision boundaries
When analyzing a dataset, it can be useful to assess how smooth the deci...
research
∙
10/01/2022
Clustering for directed graphs using parametrized random walk diffusion kernels
Clustering based on the random walk operator has been proven effective f...
research
∙
05/28/2022
Collaborative likelihood-ratio estimation over graphs
Assuming we have i.i.d observations from two unknown probability density...
research
∙
03/07/2022
Generalized Spectral Clustering for Directed and Undirected Graphs
Spectral clustering is a popular approach for clustering undirected grap...
research
∙
10/20/2021
Online non-parametric change-point detection for heterogeneous data streams observed over graph nodes
Consider a heterogeneous data stream being generated by the nodes of a g...
research
∙
09/03/2021
Epidemic Models for COVID-19 during the First Wave from February to May 2020: a Methodological Review
We review epidemiological models for the propagation of the COVID-19 pan...
research
∙
11/17/2020
Efficient stream-based Max-Min diversification with minimal failure rate
The stream-based Max-Min diversification problem concerns the task of se...
research
∙
06/24/2020
Winning the competition: enhancing counter-contagion in SIS-like epidemic processes
In this paper we consider the epidemic competition between two generic d...
research
∙
06/20/2020
Model family selection for classification using Neural Decision Trees
Model selection consists in comparing several candidate models according...
research
∙
06/18/2020
Offline detection of change-points in the mean for stationary graph signals
This paper addresses the problem of segmenting a stream of graph signals...
research
∙
06/11/2020
Dynamic Epidemic Control via Sequential Resource Allocation
In the Dynamic Resource Allocation (DRA) problem, an administrator has t...
research
∙
02/12/2020
Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection
In this paper we present the Warm-starting Dynamic Thresholding algorith...
research
∙
10/18/2019
Detecting multiple change-points in the time-varying Ising model
This work focuses on the estimation of change-points in a time-varying I...
research
∙
09/20/2019
Sequential Dynamic Resource Allocation for Epidemic Control
Under the Dynamic Resource Allocation (DRA) model, an administrator has ...
research
∙
07/15/2019
Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning
Falling in Parkinsonian syndromes (PS) is associated with postural insta...
research
∙
02/12/2019
A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks
In this paper we consider the task of detecting abnormal communication v...
research
∙
09/19/2018
The Multi-Round Sequential Selection Problem
In the Sequential Selection Problem (SSP), immediate and irrevocable dec...
research
∙
09/15/2017
A Spectral Method for Activity Shaping in Continuous-Time Information Cascades
Information Cascades Model captures dynamical properties of user activit...
research
∙
02/26/2016
