Francesca Chiaromonte

activity

20052026

most citedContour regression: A general approach to dimension reduction

237 citations · 478 across the 28 of their papers we have counts for

collaborators

Showing 2018Show all

2 papers · 1 filter

stat.ME2018

Probabilistic $K$ -mean with local alignment for clustering and motif discovery in functional data

Marzia A. Cremona, Francesca Chiaromonte

We develop a new method to locally cluster curves and discover functional motifs, i.e.~typical ``shapes'' that may recur several times along and across the curves capturing importa…

stat.ME2018★ 3 cited

MIP-BOOST: Efficient and Effective $L_{0}$ Feature Selection for Linear Regression

Ana Kenney, Francesca Chiaromonte, Giovanni Felici

Recent advances in mathematical programming have made Mixed Integer Optimization a competitive alternative to popular regularization methods for selecting features in regression pr…

Probabilistic K-mean with local alignment for clustering and motif discovery in functional data

MIP-BOOST: Efficient and Effective L0​ Feature Selection for Linear Regression

Probabilistic $K$ -mean with local alignment for clustering and motif discovery in functional data

MIP-BOOST: Efficient and Effective $L_{0}$ Feature Selection for Linear Regression