- Delgado, R. (2025)
Controlling false positives in multiple instance learning: The “c-rule” approach
International Journal of Approximate Reasoning, Volume 179, 109367
https://doi.org/10.1016/j.ijar.2025.109367 - Binotto, G.; Delgado, R. (2025)
Adapting performance metrics for ordinal classification to interval scale: length matters
Machine Learning, Volume 114, article number 41
https://doi.org/10.1007/s10994-024-06654-4 - Delgado, R. (2024)
MIL_Noise: R Scripts for the experimentation phase of the manuscript: Delgado, R. (2025) “A Simple Approach to Multiple Instance Learning: Controlling the False Positive Rate”, International Journal of Approximate Reasoning.
https://github.com/RosDelgado/MIL_Noise - Delgado, R.; Binotto, J. (2024)
IntervalScaleClassification
https://github.com/giuliabinotto/IntervalScaleClassification - Delgado, R.; Binotto, J. (2024)
IntervalScaleClassification_Experimentation: Performance metrics for ordinal and interval scale classification
https://github.com/RosDelgado/IntervalScaleClassification_Experimentation - Delgado, R.; Fernández-Peláez, F.; Pallarés, N.; Diaz-Brito, V.; Izquierdo, E.; Oriol, I.; Simonetti, A.; Tebé, C.; Videla, S.; Carratalà, J. (2024)
Predictive risk models for COVID-19 patients using the multi-thresholding meta-algorithm
Scientific Reports, volume 14, Article number: 28453
https://doi.org/10.1038/s41598-024-77386-7 - Delgado, R.; Sánchez-Delgado, H. (2024)
Multi-instance learning with application to the profiling of multi-victim homicides
Expert Systems with Applications, Volume 237, Part B, 1 March 2024, 121593
https://doi.org/10.1016/j.eswa.2023.121593 - Delgado, R.; Sánchez-Delgado, H. (2023)
The effect of seasonality in predicting the level of crime. A spatial perspective
PLOS ONE, 18(5): e0285727
https://doi.org/10.1371/journal.pone.0285727 - Delgado, R.; Núñez-González, J.D. (2022)
CODE for the Bayesian network-based over-sampling method (BOSME)
http://doi.org/10.13140/RG.2.2.31714.81605
RRepository: https://github.com/RosDelgado/BOSME - Palacios, O.; Barceló, J.A.; Delgado, R. (2022)
Exploring the role of ecology and social organisation in agropastoral societies: A Bayesian network approach
PLoS ONE, 17(10): e0276088
https://doi.org/10.1371/journal.pone.0276088 - Delgado, R. (2022)
Detecting target species: with how many samples?
Royal Society Open Science, Volume 9, Issue 8, 220046
https://doi.org/10.1098/rsos.220046 - Delgado, R. (2022)
A semi-hard voting combiner scheme to ensemble multi-class probabilistic classifiers
Applied Intelligence, 52, pages: 3653–3677
https://doi.org/10.1007/s10489-021-02447-7 - Delgado, R.; Núñez-González, J.D. (2022)
Bayesian network-based over-sampling method (BOSME) with application to indirect cost-sensitive learning
Scientific Reports, volume 12, Article number: 8724
https://doi.org/10.1038/s41598-022-12682-8 - Delgado, R.(2022)
Misuse of Beer–Lambert Law and other calibration curves
Royal Society open science, 9 (211103).
DOI: https://doi.org/10.1098/rsos.211103 - Delgado, R. (2021)
Supervivencia en la UCI: un modelo del pronóstico usando conjuntos de clasificadores Bayesianos
Materials matemàtics, ISSN 1887-1097
https://ddd.uab.cat/record/250907 - Delgado, R. (2021)
A semi-hard voting combiner scheme to ensemble multi-class probabilistic classifiers
Applied Intelligence, July 2021.
DOI: https://doi.org/10.1007/s10489-021-02447-7 - Delgado, R., Núñez-González, J.D., Yébenes, J.C., Lavado, Á. (2021)
Survival in the Intensive Care Unit: a prognosis model based on Bayesian Classifiers
Artificial Intelligence in Medicine, Volume 115, May 2021, 102054.
DOI: https://doi.org/10.1016/j.artmed.2021.102054 - Delgado R., Núñez-González J.D., Yébenes J.C., Lavado Á. (2019)
Vital Prognosis of Patients in Intensive Care Units Using an Ensemble of Bayesian Classifiers
Lecture Notes in Computer Science, vol 11943. Springer, Cham.
DOI: https://doi.org/10.1007/978-3-030-37599-7_51 - Delgado, R.; Tibau, X.A. (2019)
Why Cohen’s Kappa should be avoided as performance measure in classification
PLoS ONE 14(9): e0222916.
DOI: https://doi.org/10.1371/journal.pone.0222916 - Delgado, R.; Núñez-González, J.D. (2019)
Enhancing Confusion Entropy (CEN) for binary and multiclass classification
PLoS ONE 14(1): e0210264.
DOI: https://doi.org/10.1371/journal.pone.0210264 - Delgado, R.; Núñez-González, J.D. (2019)
Enhancing Confusion Entropy as Measure for Evaluation Classifiers
Graña M. et al. (eds) International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. SOCO’18-CISIS’18-ICEUTE’18 2018. Advances in Intelligent Systems and Computing, vol 771. Springer, Cham.
DOI: https://doi.org/10.1007/978-3-319-94120-2_8. - Delgado, R.; Tibau, X.A. (2018)
Measuring Features Strength in Probabilistic Classification
In: Medina J. et al. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 853. Springer, Cham.
DOI: https://doi.org/10.1007/978-3-319-91473-2_31. - Delgado, R. (2017)
The reflected fBm process on a convex polyhedrion as limit for the X-model with On/Off sources under heavy-traffic
International Journal of Mathematical and Computational Methods, 2, 41-52.
https://www.iaras.org/iaras/home/caijmcm/the-reflected-fbm-process-on-a-convex-polyhedron-as-limit-for-the-x-model-with-on-off-sources-under-heavy-traffic - Delgado, R.;Morozov, E. (2017)
Stability Analysis of a Basic Collaboration System via Fluid Limits
In: Gaj P., Kwiecień A., Sawicki M. (eds) Computer Networks. CN 2017. Communications in Computer and Information Science (CCIS), vol. 718. Springer, Cham. First Online: 30 May 2017.
DOI: https://doi.org/10.1007/978-3-319-59767-6_28 - De Linares, C.;Delgado, R.; …, Belmonte, J. (2017)
Changes in the Mediterranean pine forest: pollination patterns and annual trends of airborne pollen
Aerobiologia
DOI: https://doi.org/10.1007/s10453-017-9476-4. - Vélez-Pereira,A.M. De Linares,C. Delgado,R. Belmonte,J. (2016)
Temporal trends of the airbone fungal spores in Catalonia (NE Spain), 1995-2013
Aerobiologia 32(1): 23-37.
DOI: https://doi.org/10.1007/s10453-015-9410-6. - Delgado,R. González,J.L. Sotoca,A. Tibau,X.A. (2016)
A Bayesian Network Profiler for Wildfire Arsonists
In Machine Learning, Optimization, and Big Data. Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers. P.M. Pardalos et al. (Eds.): MOD 2016, Lecture Notes in Computer Science (LNCS), vol. 10122, pp. 379–390, Springer International Publishing AG 2016.
DOI: https://doi.org/10.1007/978-3-319-51469-7_31 - Delgado,R. (2016)
A two-queue polling model with priority on one queue and heavy-tailed On/Off sources: a heavy-traffic limit
Queueing Systems 83(1): 57-85.
DOI: https://doi.org/10.1007/s11134-016-9479-9 - Delgado,R. (2016)
A Heavy-Traffic Limit of a Two-Station Fluid Model with Heavy-Tailed On/Off Sources, Feedback and Flexible Servers
International Journal of Mathematical and Computational Methods, 1, 149-158. - Delgado,R. (2016)
A packet-switched network with On/Off sources and a fair bandwidth sharing policy: state space collapse and heavy traffic
Telecommunication Systems 62(2): 461-479.
DOI: https://doi.org/10.1007/s11235-015-0086-6 - Delgado, R.; Tibau, X.A. (2015)
Las Redes Bayesianas como herramienta para la evaluación del riesgo de reincidencia: Un estudio sobre agresores sexuales
Sociedad Española de Investigación Criminológica (SEIC) 13
https://reic.criminologia.net/index.php/journal/article/view/86 - Delgado,R. Morozov,E. (2014)
Stability Analysis of Cascade Networks via Fluid Models
Performance Evaluation 82: 39-54.
DOI: https://doi.org/10.1016/j.peva.2014.10.001 - Delgado,E. López,F.J. Sanz,G. (2014)
Necessary and sufficient conditions for strong comparability of multicomponent systems
Discrete Event Dynamic Systems 24(1): 1-14.
DOI: https://doi.org/10.1007/s10626-012-0146-y - Delgado,R. Morozov,E. (2014)
Stability Analysis of Some Networks with Interacting Servers
Analytical and Stochastic Modeling Techniques and Applications (ASMTA) 2014, Lecture Notes in Computer Science (LNCS), vol. 8499, 2014, pp 1-15.
DOI: https://doi.org/10.1007/978-3-319-08219-6_1 - Férnandez-Llamazares, Belmonte,J. Delgado,R. De Linares,C. (2014)
A statistical approach to bioclimatic trend detection in the airbone pollen records of Catalonia (NE Spain)
International Journal of Biometeorology 58(3): 371-382.
DOI: https://doi.org/10.1007/s00484-013-0632-4
Book chapters:
- Rosario Delgado, J. David Núñez-González, J. Carlos Yébenes, Ángel Lavado (2020)
Vital Prognosis of Patients in Intensive Care Units Using an Ensemble of Bayesian Classifiers
Lecture Notes in Computer Science, 11943
Springer, Cham.
DOI: https://doi.org/10.1007/978-3-030-37599-7_51 - Rosario Delgado, José-Luis González, Andrés Sotoca and Xavier- Andoni Tibau (2018)
Archetypes of Wildfire Arsonists: An Approach by Using Bayesian Networks
Forest Fire, Cap. 2, pp. 25-50
Janusz Szmyt, IntechOpen.
https://www.intechopen.com/books/forest-fire/archetypes-of-wildfire-arsonists-an-approach-by-using-bayesian-networks
DOI: https://doi.org/10.5772/intechopen.72615 - Rosario Delgado and J. David Núñez-González (2018)
Enhancing Confusion Entropy as Measure for Evaluating Classifiers
Advances in Intelligent Systems and Computing, vol 771. Springer, Cham.
Springer, Cham
DOI: https://doi.org/10.1007/978-3-319-94120-2_8