State space collapse for asymptotically critical multi-class fluid networks. - Rosario Delgado (Queueing Syst. Theory Appl., 2008)

State space collapse and stability of queueing networks. - Rosario Delgado (Math. Methods Oper. Res., 2010)

Heavy-traffic limit for a feed-forward fluid model with heterogeneous heavy-tailed On/Off sources. - Rosario Delgado (Queueing Syst. Theory Appl., 2013)

Stability Analysis of Some Networks with Interacting Servers. - Rosario Delgado; Evsey Morozov (ASMTA, 2014)

Necessary and sufficient conditions for strong comparability of multicomponent systems. - Rosario Delgado; F. Javier López; Gerardo Sanz (Discret. Event Dyn. Syst., 2014)

Stability analysis of cascade networks via fluid models. - Rosario Delgado; Evsey Morozov (Perform. Evaluation, 2014)

A Bayesian Network Profiler for Wildfire Arsonists. - Rosario Delgado; José Luis González-Álvarez; Andrés Sotoca; Xavier-Andoni Tibau (MOD, 2016)

A two-queue polling model with priority on one queue and heavy-tailed On/Off sources: a heavy-traffic limit. - Rosario Delgado (Queueing Syst. Theory Appl., 2016)

A packet-switched network with On/Off sources and a fair bandwidth sharing policy: state space collapse and heavy-traffic. - Rosario Delgado (Telecommun. Syst., 2016)

Stability Analysis of a Basic Collaboration System via Fluid Limits. - Rosario Delgado; Evsey Morozov (CN, 2017)

Measuring Features Strength in Probabilistic Classification. - Rosario Delgado; Xavier-Andoni Tibau (IPMU (1), 2018)

Enhancing Confusion Entropy as Measure for Evaluating Classifiers. - Rosario Delgado; J. David Núñez-González (SOCO-CISIS-ICEUTE, 2018)

Vital Prognosis of Patients in Intensive Care Units Using an Ensemble of Bayesian Classifiers. - Rosario Delgado; J. David Núñez-González; J. Carlos Yébenes; Ángel Lavado (LOD, 2019)

Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers. - Rosario Delgado; J. David Núñez-González; J. Carlos Yébenes; Ángel Lavado (Artif. Intell. Medicine, 2021)

A semi-hard voting combiner scheme to ensemble multi-class probabilistic classifiers. - Rosario Delgado (Appl. Intell., 2022)

Multi-instance learning with application to the profiling of multi-victim homicides. - Rosario Delgado; Héctor Sánchez-Delgado (Expert Syst. Appl., 2024)

Controlling false positives in multiple instance learning: The "c-rule" approach. - Rosario Delgado (Int. J. Approx. Reason., 2025)

Ord-MAP criterion: Extending MAP for ordinal classification. - Rosario Delgado (Knowl. Based Syst., 2025)

Adapting performance metrics for ordinal classification to interval scale: length matters. - Giulia Binotto; Rosario Delgado (Mach. Learn., 2025)