activity
20122023
most citedA new framework for optimal classifier design

24 citations · 68 across the 9 of their papers we have counts for

collaborators

10 papers

cs.LG2023

Gradient-Based Spectral Embeddings of Random Dot Product Graphs

Marcelo Fiori, Bernardo Marenco, Federico Larroca +2

The Random Dot Product Graph (RDPG) is a generative model for relational data, where nodes are represented via latent vectors in low-dimensional Euclidean space. RDPGs crucially po…

cs.LG2022★ 8 cited

Online Change Point Detection for Weighted and Directed Random Dot Product Graphs

Bernardo Marenco, Paola Bermolen, Marcelo Fiori +2

Given a sequence of random (directed and weighted) graphs, we address the problem of online monitoring and detection of changes in the underlying data distribution. Our idea is to…

math.CO2021★ 4 cited

Characterization of digraphs with three complementarity eigenvalues

Diego Bravo, Florencia Cubría, Marcelo Fiori +1

Given a digraph D, the complementarity spectrum of the digraph is defined as the set of complementarity eigenvalues of its adjacency matrix. This complementarity spectrum has been…

math.CO2021★ 3 cited

Complementarity spectrum of digraphs

Diego Bravo, Florencia Cubría, Marcelo Fiori +1

In this paper we study the complementarity spectrum of digraphs, with special attention to the problem of digraph characterization through this complementarity spectrum. That is, w…

math.OC2019

Re-Weighted Algorithms within the Lagrange Duality Framework: Bringing Interpretability to Weights

Matías Valdés, Marcelo Fiori

We consider an important problem in signal processing, which consists in finding the sparsest solution of a linear system . This problem has applications in several areas, bu…

math.CO2014

On spectral properties for graph matching and graph isomorphism problems

Marcelo Fiori, Guillermo Sapiro

Problems related to graph matching and isomorphisms are very important both from a theoretical and practical perspective, with applications ranging from image and video analysis to…

stat.ML2014★ 8 cited

Graph Matching: Relax at Your Own Risk

Vince Lyzinski, Donniell Fishkind, Marcelo Fiori +3

Graph matching---aligning a pair of graphs to minimize their edge disagreements---has received wide-spread attention from both theoretical and applied communities over the past sev…

math.OC2013★ 20 cited

Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching

Marcelo Fiori, Pablo Sprechmann, Joshua Vogelstein +2

Graph matching is a challenging problem with very important applications in a wide range of fields, from image and video analysis to biological and biomedical problems. We propose…

cs.CV2013★ 24 cited

A new framework for optimal classifier design

Matías Di Martino, Guzman Hernández, Marcelo Fiori +1

The use of alternative measures to evaluate classifier performance is gaining attention, specially for imbalanced problems. However, the use of these measures in the classifier des…

cs.CV2012★ 1 cited

A Complete System for Candidate Polyps Detection in Virtual Colonoscopy

Marcelo Fiori, Pablo Musé, Guillermo Sapiro

Computer tomographic colonography, combined with computer-aided detection, is a promising emerging technique for colonic polyp analysis. We present a complete pipeline for polyp de…