A new user behaviour model and QoE determination on short-message-service. - Marcelo Fiori; Julio Fitipaldo (LANC, 2009)

Topology Constraints in Graphical Models. - Marcelo Fiori; Pablo Musé; Guillermo Sapiro (NIPS, 2012)

New approach for approximating the continuum wave function by Gaussian basis set. - Marcelo Fiori; J. E. Miraglia (Comput. Phys. Commun., 2012)

Polyps Flagging in Virtual Colonoscopy. - Marcelo Fiori; Pablo Musé; Guillermo Sapiro (CIARP (2), 2013)

Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching. - Marcelo Fiori; Pablo Sprechmann; Joshua T. Vogelstein; Pablo Musé; Guillermo Sapiro (NIPS, 2013)

A new framework for optimal classifier design. - Matías Di Martino; Guzmán Hernández; Marcelo Fiori; Alicia Fernández (Pattern Recognit., 2013)

Questionnaire simplification for fast risk analysis of children's mental health. - Kimberly L. H. Carpenter; Pablo Sprechmann; Marcelo Fiori; A. Robert Calderbank; Helen Link Egger; Guillermo Sapiro (ICASSP, 2014)

On spectral properties for graph matching and graph isomorphism problems. - Marcelo Fiori; Guillermo Sapiro (CoRR, 2014)

A Complete System for Candidate Polyps Detection in Virtual Colonoscopy. - Marcelo Fiori; Pablo Musé; Guillermo Sapiro (Int. J. Pattern Recognit. Artif. Intell., 2014)

An optimal multiclass classifier design. - Marcelo Fiori; Matías Di Martino; Alicia Fernández (ICPR, 2016)

Tell me where you are and I tell you where you are going: Estimation of dynamic mobility graphs. - Marcelo Fiori; Pablo Musé; Mariano Tepper; Guillermo Sapiro (SAM, 2016)

Graph Matching: Relax at Your Own Risk. - Vince Lyzinski; Donniell E. Fishkind; Marcelo Fiori; Joshua T. Vogelstein; Carey E. Priebe; Guillermo Sapiro (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Re-Weighted ℓ _1 Algorithms within the Lagrange Duality Framework - Bringing Interpretability to Weights. - Matías Valdés; Marcelo Fiori (IbPRIA (1), 2019)

Re-Weighted 𝓁1 Algorithms within the Lagrange Duality Framework: Bringing Interpretability to Weights. - Matías Valdés; Marcelo Fiori (CoRR, 2019)

Online Change Point Detection for Random Dot Product Graphs. - Bernardo Marenco; Paola Bermolen; Marcelo Fiori; Federico Larroca; Gonzalo Mateos (ACSCC, 2021)

Assessing the impact of mobility reduction in the second wave of COVID-19. - Álvaro Cabana; Lorena Etcheverry; María Inés Fariello; Paola Bermolen; Marcelo Fiori (CLEI, 2021)

Change Point Detection in Weighted and Directed Random Dot Product Graphs. - Federico Larroca; Paola Bermolen; Marcelo Fiori; Gonzalo Mateos (EUSIPCO, 2021)

Large-Scale 802.11 Wireless Networks Data Analysis Based on Graph Clustering. - Germán Capdehourat; Paola Bermolen; Marcelo Fiori; Nicolás Frevenza; Federico Larroca; Gastón Morales; Claudina Rattaro; Gianina Zunino (Wirel. Pers. Commun., 2021)

Tracking the Adjacency Spectral Embedding for Streaming Graphs. - Federico Larroca; Paola Bermolen; Marcelo Fiori; Bernardo Marenco; Gonzalo Mateos (IEEECONF, 2022)

Algorithmic Advances for the Adjacency Spectral Embedding. - Marcelo Fiori; Bernardo Marenco; Federico Larroca; Paola Bermolen; Gonzalo Mateos (EUSIPCO, 2022)

Online Change Point Detection for Weighted and Directed Random Dot Product Graphs. - Bernardo Marenco; Paola Bermolen; Marcelo Fiori; Federico Larroca; Gonzalo Mateos (IEEE Trans. Signal Inf. Process. over Networks, 2022)

A Random Dot Product Graph Model for Weighted and Directed Networks. - Bernardo Marenco; Paola Bermolen; Marcelo Fiori; Federico Larroca; Gonzalo Mateos (IEEECONF, 2024)

On the logarithmic energy of solutions to the polynomial eigenvalue problem. - Diego Armentano; Federico Carrasco; Marcelo Fiori (CoRR, 2024)

Gradient-Based Spectral Embeddings of Random Dot Product Graphs. - Marcelo Fiori; Bernardo Marenco; Federico Larroca; Paola Bermolen; Gonzalo Mateos (IEEE Trans. Signal Inf. Process. over Networks, 2024)

LASE: Learned Adjacency Spectral Embeddings. - Sofía Pérez Casulo; Marcelo Fiori; Federico Larroca; Gonzalo Mateos (Trans. Mach. Learn. Res., 2025)

Characterization of Logarithmic Fekete Critical Configurations of at Most Six Points in All Dimensions. - Diego Armentano; Leandro Bentancur; Federico Carrasco; Marcelo Fiori; Matías Valdés; Mauricio Velasco (CoRR, 2025)

Weighted Random Dot Product Graphs. - Bernardo Marenco; Paola Bermolen; Marcelo Fiori; Federico Larroca; Gonzalo Mateos (CoRR, 2025)