• Giulia Binotto and Rosario Delgado, (2025)
    Adapting performance metrics for ordinal classification to interval scale: length matters
    Machine Learning, 114 41
    https://doi.org/10.1007/s10994-024-06654-4
  • Esther García Pagès, Spyridon Kontaxis, Sara Siddi, Mar Posadas-de Miguel, Concepción de la Cámara, Maria Luisa Bernal, Thais Castro Ribeiro, Pablo Laguna, Llorenç Badiella, Raquel Bailón, Josep Maria Haro, and Jordi Aguiló, (2025)
    Contribution of physiological dynamics in predicting major depressive disorder severity
    Psychophysiology, 62 e14729
    https://doi.org/10.1111/psyp.14729
  • Rosario Delgado, (2025)
    Controlling false positives in multiple instance learning: The “c-rule” approach
    International Journal of Approximate Reasoning, 179 109367
    https://doi.org/10.1016/j.ijar.2025.109367
  • Tomasz J. Kozubowsk, Dorota Młynarczyk, and Anna K. Panorska, (2025)
    Waiting time representation of discrete distributionsEstadística: problemes i més problemes
    Statistics & Probability Letters, 216 110275
    https://doi.org/10.1016/j.spl.2024.110275
  • E. Sanchez-Tarifa, C. Alonso, I. Perez, L. A. García, Amanda Fernández‐Fontelo, O. Gómez-Duran, B. García-Morante, Francisco A. García-Vázquez, and I. Hernández-Caravaca, (2024)
    A field comparison study of two vaccine protocols against Erysipelothrix rhusiopathiae in two types of swine breeds in Spain
    BMC Veterinary Research, Article number: 461
    https://doi.org/10.1186/s12917-024-04065-0
  • Dorota Młynarczyk, Pedro Puig, Joan Francesc Barquinero, Carmen Armero, and Virgilio Gómez-Rubio, (2024)
    Comparative analysis of the yields of dicentrics and chromosomal translocations
    International Journal of Radiation Biology, 100 1193–1201
    https://doi.org/10.1080/09553002.2024.2369077
  • Josep Peñuelas, Marcos Fernández-Martínez, Sandra Cobo, Llorenç Badiella, and Jordi Sardans, (2024)
    Does urban particulate matter hinder COVID-19 transmission rate?
    Air Quality, Atmosphere & Health, 17 2307–2319
    https://doi.org/10.1007/s11869-024-01574-7
  • David Márquez-Carreras, (2024)
    EL MOVIMIENTO BROWNIANO
    MIXBA’AL, Revista Metropolitana de Matemáticas, 15
    http://www.doi.org/10.24275/uami/dcbi/mix/v15n1/damaco
  • David Moriña, Isabel Millán, Amanda Fernández-Fontelo, Pedro Puig, Pere Torán, Meritxell Gómez-Maldonado, and Gemma Falguera, (2024)
    Exploring what lies beneath the tip of the gender-based violence iceberg
    medRxiv, 2024.02.26.24303373
    https://doi.org/10.1101/2024.02.26.24303373
  • David Agis, Jordi Tur, David Moriña, Pedro Puig, and Amanda Fernández-Fontelo, (2024)
    good: An R package for modelling count data
    Methods in Ecology and Evolution, 15 2192-2197
    https://doi.org/10.1111/2041-210X.14387
  • Rosario Delgado and Giulia Binotto, (2024)
    IntervalScaleClassification
    ,
  • Rosario Delgado and Giulia Binotto, (2024)
    IntervalScaleClassification_Experimentation: Performance metrics for ordinal and interval scale classification
    ,
  • Rosario Delgado, (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
  • Rosario Delgado and Héctor Sánchez-Delgado, (2024)
    Multi-instance learning with application to the profiling of multi-victim homicides
    Expert Systems with Applications, Volume 237, Part B 121593
    https://doi.org/10.1016/j.eswa.2023.121593
  • Òscar Burés and Carles Rovira, (2024)
    On the positivity of the density of stochastic delay differential equations driven by a fractional Brownian motion
    arXiv, 2410.13035
    https://doi.org/10.48550/arXiv.2410.13035

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