Quality of service parameters and link operating point estimation based on effective bandwidths. - Laura Aspirot; Pablo Belzarena; Paola Bermolen; Andrés Ferragut; Gonzalo Perera; María Simon (Perform. Evaluation, 2005)

Accurate, Fine-Grained Classification of P2P-TV Applications by Simply Counting Packets. - Silvio Valenti; Dario Rossi 001; Michela Meo; Marco Mellia; Paola Bermolen (TMA, 2009)

Support vector regression for link load prediction. - Paola Bermolen; Dario Rossi 001 (Comput. Networks, 2009)

Multiple Access Mechanisms with Performance Guarantees for Ad-Hoc Networks. - Paola Bermolen; François Baccelli (SECON, 2010)

End-to-end quality of service-based admission control using the fictitious network analysis. - Pablo Belzarena; Paola Bermolen; Pedro Casas; María Simon (Comput. Commun., 2010)

Abacus: Accurate behavioral classification of P2P-TV traffic. - Paola Bermolen; Marco Mellia; Michela Meo; Dario Rossi 001; Silvio Valenti (Comput. Networks, 2011)

Extremal versus additive Matérn point processes. - François Baccelli; Paola Bermolen (Queueing Syst. Theory Appl., 2012)

Estimating the Spatial Reuse with Configuration Models. - Paola Bermolen; Matthieu Jonckheere; Federico Larroca; Pascal Moyal (CoRR, 2014)

A Stochastic Geometry Analysis of Multichannel Cognitive Radio Networks. - Claudina Rattaro; Paola Bermolen; Federico Larroca; Pablo Belzarena (LANC, 2016)

Estimating the Transmission Probability in Wireless Networks with Configuration Models. - Paola Bermolen; Matthieu Jonckheere; Federico Larroca; Pascal Moyal (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016)

Estimating the medium access probability in large cognitive radio networks. - Claudina Rattaro; Federico Larroca; Paola Bermolen; Pablo Belzarena (Ad Hoc Networks, 2017)

Degree-Greedy Algorithms on Large Random Graphs. - Paola Bermolen; Matthieu Jonckheere; Federico Larroca; Manuel Sáenz (SIGMETRICS Perform. Evaluation Rev., 2018)

Multi-Resource Allocation: Analysis of a Paid Spectrum Sharing Approach Based on Fluid Models. - Claudina Rattaro; Paola Bermolen; Pablo Belzarena (IEEE Trans. Cogn. Commun. Netw., 2018)

Sequential Algorithms and Independent Sets Discovering on Large Sparse Random Graphs. - Paola Bermolen; Matthieu Jonckheere; Federico Larroca; Manuel Sáenz (CoRR, 2020)

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)

Federated Learning for Data Analytics in Education. - Christian Fachola; Agustín Tornaría; Paola Bermolen; Germán Capdehourat; Lorena Etcheverry; María Inés Fariello (Data, 2023)

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

Probabilistic Insights for Efficient Exploration Strategies in Reinforcement Learning. - Ernesto Garcia; Paola Bermolen; Matthieu Jonckheere; Seva Shneer (CoRR, 2025)

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