RESEARCH
PAPERS
- Aleix Alcacer, Irene Epifanio, X. Gual-Arnau. Biarchetype analysis: simultaneous learning of observations and features based on extremes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. DOI: 10.1109/TPAMI.2024.3400730
Aleix Alcacer, Irene Epifanio. Outlier detection of clustered functional data with image and signal processing applications by archetype analysis. PLOS ONE, 2024. DOI: https://doi.org/10.1371/journal.pone.0311418.
Encina Calvo-Iglesias, Irene Epifanio. Revisiting Male Allies in Mathematics and Physics Throughout History: Role Models for Men in STEM Education. Education Sciences. 2024, 14, 535. https://doi.org/10.3390/educsci14050535.
Irene Epifanio, Encina Calvo-Iglesias. Actions for gender equality in scientific-technical areas in Spanish universities. Acciones para la igualdad de género en las áreas científico-técnicas de las universidades españolas. Educación XX1, 27(2), 19-36 (2024). DOI: https://doi.org/10.5944/educxx1.38279
Third prize in XV Edición dos Premios á Introdución da Perspectiva de Xénero na Investigación from Universidade de Santiago de Compostela. 
Aleix Alcacer, Marina Martínez-Garcia, Irene Epifanio. Ordinal classification for interval-valued data and interval-valued functional data. Expert Systems with Applications (2024). Volume 238, Part F, 122277
Irene Epifanio, V. Gimeno, X. Gual-Arnau, M. Victoria Ibáñez-Gual. Archetypal curves in the shape and size space: discovering the salient features of curved big data by representative extremes. La Matematica. Official Journal of the Association for Women in Mathematics, 2(3), pp. 635–658 (2023).
I. Cabero, Irene Epifanio, X. Gual-Arnau. Analysis of Archetypes to Determine Time Use and Workload Profiles of Spanish University Professors. Education Science 13(3), 295 (2023). DOI: https://doi.org/10.3390/educsci13030295.
Lara Ferrando, Noelia Ventura-Campos, Irene Epifanio. The underlying neural bases of the reversal error while solving algebraic word problems.
Scientific Reports. 12, 21654 (2022). DOI: https://doi.org/10.1038/s41598-022-25442-5.
Lara Ferrando, Irene Epifanio, Noelia Ventura-Campos. Ordinal classification of 3D brain structures by functional data analysis.
Statistics and Probability Letters. Volume 179, December 2021, 109227.
D. Fernández, Irene Epifanio, Louise McMillan. Archetypal Analysis for Ordinal Data.
Information Sciences.579: 281-292. 2021.
I. Cabero, Irene Epifanio, Ana Piérola, A. Ballester. Archetype Analysis: A new subspace outlier detection approach. Knowledge-Based Systems
Volume 217, 106830. 2021.
I. Cabero, Irene Epifanio. A Data Science Analysis of Academic Staff Workload Profiles in Spanish Universities: Gender Gap Laid Bare. Education Sciences. 2021, 11, 317. https://doi.org/10.3390/educsci11070317
A. Alcacer, Irene Epifanio, J. Valero, A. Ballester. Combining Classification and User-Based Collaborative Filtering for Matching Footwear Size. Mathematics
2021; 9(7):771.
G. Vinué, Irene Epifanio. Robust archetypoids for anomaly detection in big functional data. Advances in Data Analysis and Classification, 15, pp. 437–462 (2021).
adamethods: Archetypoid Algorithms and Anomaly Detection.
Irene Epifanio, V. Gimeno, X. Gual-Arnau, M. Victoria Ibáñez-Gual. A New Geometric Metric in the Shape and Size Space of Curves in Rn. Mathematics, 8, 1691. 2020.
Lara Ferrando, Noelia Ventura-Campos, Irene Epifanio. Detecting and visualizing differences in brain structures with SPHARM and functional data analysis.
Neuroimage; Volume 222, 117209, 2020.
(Lara Ferrando was awarded with Mención honorífica in XVI Premio Científico Técnico Ciutat d'Algemesí).
Lara Ferrando, Noelia Ventura-Campos, Irene Epifanio. A neuroimaging data set on problem solving in the case of the reversal error: Putamen data.
Data in Brief; 106322, 2020. Doi: https://doi.org/10.1016/j.dib.2020.106322.
Irene Epifanio, M.Victoria Ibáñez, Amelia Simó. Archetypal analysis with missing data: see all samples by looking at a few based on extreme profiles.
The American Statistician; 74:2, 169-183, 2020.
I. Cabero, Irene Epifanio. Finding archetypal patterns for binary questionnaires.
SORT; 44(1): 39-66, 2020.
Amelia Simó, M. Victoria Ibáñez, Irene Epifanio, V. Gimeno. Generalized partially linear models on Riemannian manifolds. The Journal of the Royal Statistical Society, Series C (Applied Statistics), 69 (3): 641-661, 2020.
Irene Epifanio, X. Gual-Arnau, Silena Herold-García. Morphological analysis of cells by means of an elastic metric in the shape space.
Image Analysis & Stereology, 39:13-23, 2020.
A. Alcácer, Irene Epifanio, M.Victoria Ibáñez, Amelia Simó, A. Ballester. A data-driven classification of 3D foot types by archetypal shapes based on landmarks.
PLoS ONE, 15(1): e0228016. DOI: https://doi.org/10.1371/journal.pone.0228016, 2020.
Ana M. Arnal, Irene Epifanio, P. Gregori, V. Martínez. Ten Simple Rules for Organizing a Non-Real Time Web Conference.
PLoS Computational Biology, 16(3): e1007667. DOI: https://doi.org/10.1371/journal.pcbi.1007667, 2020.
G. Vinué, Irene Epifanio. Forecasting basketball players' performance using sparse functional data. Statistical Analysis & Data Mining: The ASA Data Science Journal; 12: 534– 547. 2019.
I. Cabero, Irene Epifanio. Archetypal analysis: an alternative to clustering for unsupervised texture segmentation. Image Analysis & Stereology, 38:151-160. 2019.
J. Moliner, Irene Epifanio. Robust multivariate and functional archetypal analysis with application to financial time series analysis. Physica A: Statistical Mechanics and its Applications, 519: 195-208. 2019.
Laura Millán-Roures, Irene Epifanio, V. Martínez. Detection of anomalies in water networks by functional data analysis. Mathematical Problems in Engineering, vol. 2018, Article ID 5129735, 13 pages, 2018.
Irene Epifanio, M.Victoria Ibáñez, Amelia Simó. Archetypal shapes based on landmarks and extension to handle missing data. Advances in Data Analysis and Classification, 2018, 12(3): 705-735.
G. Vinué, Irene Epifanio. Archetypoid analysis for sports analytics. Data Mining and Knowledge Discovery, 31 (6), 1643-1677, 2017.
Irene Epifanio. Intervention in prediction measure: a new approach to assessing variable importance for random forests. BMC Bioinformatics, 18:230, 2017.
IPMRF: Intervention in Prediction Measure (IPM) for Random Forests.
Ana Pierola, Irene Epifanio, Sandra Alemany. Child t-shirt size data set from 3D body scanner anthropometric measurements and a questionnaire. Data in Brief (2017), Volume 11, Pages 311–315.
Ana Pierola, Irene Epifanio, Sandra Alemany. An ensemble of ordered logistic regression and random forest for child garment size matching. Computers & Industrial Engineering (2016), Volume 101, November 2016, Pages 455-465.
Irene Epifanio. Functional archetype and archetypoid analysis. Computational Statistics and Data Analysis (2016), vol. 104, p. 24–34. doi:10.1016/j.csda.2016.06.007
G. Vinué, Irene Epifanio, Sandra Alemany. Archetypoids: a new approach to define representative archetypal data. Computational Statistics and Data Analysis, Volume 87, July 2015, Pages 102-115.
Irene Epifanio, Noelia Ventura-Campos. Hippocampal shape analysis in
Alzheimer’s disease using functional
data analysis. Statistics in medicine. Volume 33, Issue 5, pages 867–880, 2014.
Irene Epifanio. Mapping the asymmetrical citation relationships between journals by h-plots. Journal of the Association for Information Science and Technology. Volume 65, Issue 6, pages 1293–1298, 2014.
Lucía Martínez-Costa, M. Victoria Ibáñez, Cinta Murcia-Bello, Irene Epifanio, Cristina Verdejo-Gimeno,
Emma Beltrán-Catalán, Pilar Marco-Ventura. Use of microperimetry to evaluate Hydroxychloroquine and Chloroquine retinal toxicity. Canadian Journal Of Ophthalmology, 48 (5), pp. 400–405, 2013.
Irene Epifanio, G. Vinué, Sandra Alemany. Archetypal analysis: contributions for estimating boundary cases in multivariate accommodation problem.
Computers & Industrial Engineering. Volume 64, Issue 3, Pages 757-765, 2013.
Anthropometry: An R Package for Analysis of Anthropometric Data.
Irene Epifanio. h-plots for displaying nonmetric dissimilarity matrices. Statistical Analysis and Data Mining. Volume 6, Issue 2, Pages 136–143, 2013.
M.Victoria Ibáñez, G. Vinué, Sandra Alemany, Amelia Simó, Irene Epifanio, J. Domingo, G. Ayala. Apparel sizing using trimmed PAM and OWA operators.
Expert Systems with Applications , Vol 39, Issue 12, pp. 10512-10520 , 2012.
Anthropometry: An R Package for Analysis of Anthropometric Data.
Irene Epifanio, Noelia Ventura-Campos. Functional data analysis in shape analysis.
Computational Statistics & Data Analysis, Volume 55, Issue 9, pp. 2758-2773 , 2011.
Irene Epifanio, Carolina Ávila, A. Page, C. Atienza. Analysis of Multiple Waveforms by means
of Functional Principal Component Analysis: Normal vs Pathological Patterns in Sit-to-Stand Movement.
Medical & Biological Engineering & Computing, vol. 46, no. 6, pp. 551-561, 2008.
Irene Epifanio. Shape Descriptors for Classification of
Functional Data. Technometrics, Vol. 50, No. 3, pp. 284-294, 2008.
Irene Epifanio, P. Soille. Morphological texture features for
unsupervised and supervised segmentation of natural landscapes.
IEEE Transactions on Geoscience and Remote Sensing. Vol. 45, No. 4, pp. 1074-1083,
2007.
A. Page, Irene Epifanio. A simple model to analyze the
effectiveness of the linear time normalization to reduce
variability in human movement analysis. Gait and
Posture. Vol. 25, Issue 1, pp. 153-156, 2007.
G. Ayala, Irene Epifanio, Amelia Simó and Victoria Zapater. Clustering of spatial point patterns.
Computational Statistics & Data Analysis. Vol. 50, issue 4, pp. 1016-1032, 2006.
J.Malo, Irene Epifanio, R. Navarro, E.P. Simoncelli.
Nonlinear image representation for Efficient Perceptual Coding.
IEEE Transactions on Image Processing. Vol. 15, 1, pp. 68-80 (2006).
Irene Epifanio, J. Gutiérrez, J.Malo.
Linear Transform for Simultaneous Diagonalization of Covariance and Perceptual Metric Matrix in Image Coding.
Pattern Recognition. 36/8 pp. 1799-1811,(2003).
Irene Epifanio, G. Ayala.
A random set view of texture classification. IEEE Transactions on Image Processing. Vol. 11, 8, pp. 859-867 (2002).
J.Malo, J.Gutierrez, Irene Epifanio, F.Ferri, J.M. Artigas.
Perceptual feed-back in multigrid motion estimation using an improved DCT quantization.
IEEE Transactions on Image Processing. Vol. 10, 10, pp. 1411-1427 (2001).
J.Malo, J.Gutierrez, Irene Epifanio, F.Ferri.
Perceptually weighted optical flow for motion-based segmentation in MPEG-4 paradigm.
Electronics Letters, 28th September 2000, Vol.36, No. 20, pp. 1693-1694.
J.Malo, R.Navarro, Irene Epifanio, F.Ferri, J.M.Artigas .
Non-linear Invertible Representation for Joint Statistical and Perceptual Feature Decorrelation.
Lecture Notes in Computer Science 2000, Vol. 1876, pp. 658-667.
J.Malo, F.Ferri, J.Gutierrez, Irene Epifanio.
Importance of quantizer design
compared to optimal multigrid motion estimation in video coding.
Electronics Letters, 27th April 2000, Vol. 36, No.9, pp. 807-809.
CONFERENCES
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Aleix Alcacer, Irene Epifanio. Análisis de biarquetipos en R. LatinR 2024
Conferencia Latinoamericana sobre Uso de R en Investigación + Desarrollo. 2024.
- Irene Epifanio. De Blancaneus a Judy Hopps: anàlisi arquetípica. Col·loqui Provem, Universitat Jaume I, 19th September 2024.
- Irene Epifanio. Archetypal analysis: learning through extreme profiles. IV Encuentro UMI ValgrAI, 2024.
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Daniel Fernández, Irene Epifanio. Archetypal Analysis: Summarizing Datasets Based on Extreme Profiles. Seminario SEIO: Data Visualization, Dimensionality Reduction and Clustering. 13/6/2024.
- D. Fernández, Irene Epifanio, Louise McMillan. Archetypal Analysis for Ordinal Data. V International Workshop on Proximity Data, Multivariate Analysis and Classification. 2023. ISBN: 978-84-16829-90-3.
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Irene Epifanio. A journey into archetypal analysis. ICMAT: Applied Maths Seminar. 2022.
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I. Cabero, Irene Epifanio. Una anàlisi de dades de la càrrega de treball del professorat en les universitats
espanyoles: la bretxa de gènere al descobert. V Congrés Investigació i gènere a la Universitat Jaume I. 2022. ISBN: 978-84-19647-37-5
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A. Alcacer, Irene Epifanio. Discovering archetypal football teams and stats with biarchetype analysis. useR! 2022 The R User Conference 2022.
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Comisión de mujeres y matemáticas RSME. Congreso Bienal de la Real Sociedad Matemática Española. 2022.
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A. Alcacer, Irene Epifanio, J. Valero, A. Ballester. Combining user-based collaborative filtering and classification for matching footwear size.
CMStatistics 2021.
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Comisión de Mujeres y Matemáticas RSME. Stop discriminación: evaluación de la aplicación de la Ley 14/2011 de la Ciencia en lo referente a la perspectiva de
género con propuestas de mejora. XUGeX - VII Xornada Universitaria Galega en Xénero. 2021.
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Irene Epifanio. A tour of functional archetypal analysis. Universidad Carlos III de Madrid. 2021.
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Irene Epifanio. Igualdad en Investigación: dónde estamos y qué queda por hacer. Universidad Carlos III de Madrid. 2021.
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A. Alcacer, Irene Epifanio. Analysis of gene expression data using biarchetype analysis. V Jornadas Científicas de Estudiantes de la SEB. 2021.
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Lara Ferrando, Irene Epifanio, Noelia Ventura-Campos. Ordinal classification of 3D brain structures by functional data analysis. V Jornadas Científicas de Estudiantes de la SEB. 2021.
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Irene Epifanio. A tour of archetypal analysis. Universidade de Santiago de Compostela. 2020.
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A. Alcacer, Irene Epifanio. Biarchetype analysis: definition and application to sports analysis. 3rd BYMAT Conference – Bringing Young Mathematicians Together. 2020.
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Lara Ferrando, Noelia Ventura-Campos, Irene Epifanio. Detecting and visualizing differences in brain structures with functional data analysis. Application to neuroeducation. 30th International Biometric Conference (IBC 2020).
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A. Alcacer, Irene Epifanio, M. Victoria Ibáñez, Amelia Simó, A. Ballester. What are the types of Spanish foot shapes? Archeypoid analysis of 3D images. 30th International Biometric Conference (IBC 2020).
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Lara Ferrando, Noelia Ventura-Campos, Irene Epifanio. Group classification from neuronal bases obtained by neuroimaging. V Congreso de Jóvenes Investigadores de la RSME (2020).
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A. Alcacer, Irene Epifanio, M. Victoria Ibáñez, Amelia Simó, A. Ballester. A data-driven classification of 3D foot types by archetypal shapes based on landmarks.
V Congreso de Jóvenes Investigadores de la RSME (2020).
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Lucía Masero, Noelia Ventura-Campos, Irene Epifanio. Estudio del aprendizaje en música y las habilidades matemáticas en neuroimagen
mediante bosques aleatorios. V Congreso de Jóvenes Investigadores de la RSME (2020).
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A. Alcacer, Irene Epifanio, M. Victoria Ibáñez, Amelia Simó. Archetypal contour functions. 12th Scientific Meeting Classification and Data Analysis Group, CLADAG (2019).
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I. Cabero, Irene Epifanio, Ana Piérola. Detection of anomalies by gender in foot shapes. XVII CONFERENCIA ESPAÑOLA DE BIOMETRÍA and VII ENCUENTRO IBEROAMERICANO DE BIOMETRÍA (2019). ISBN: 978-84-09-11706-2.
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Lara Ferrando, Noelia Ventura-Campos, Irene Epifanio. Classification methods to determine competent resolvers through neuroimaging. XVII CONFERENCIA ESPAÑOLA DE BIOMETRÍA and VII ENCUENTRO IBEROAMERICANO DE BIOMETRÍA (2019). ISBN: 978-84-09-11706-2.
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Amelia Simó, M. Victoria Ibáñez, Irene Epifanio, V. Gimeno. Generalized partially linear models on Riemannian manifolds. XVII CONFERENCIA ESPAÑOLA DE BIOMETRÍA and VII ENCUENTRO IBEROAMERICANO DE BIOMETRÍA (2019). ISBN: 978-84-09-11706-2.
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I. Cabero, Irene Epifanio. Archetypoid analysis applied to the teaching of mathematics. XVII CONFERENCIA ESPAÑOLA DE BIOMETRÍA and VII ENCUENTRO IBEROAMERICANO DE BIOMETRÍA (2019). ISBN: 978-84-09-11706-2.
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A. Alcacer, Irene Epifanio, M. Victoria Ibáñez, Amelia Simó. Analysis of 2D foot morphology by functional archetypal analysis. XVII CONFERENCIA ESPAÑOLA DE BIOMETRÍA and VII ENCUENTRO IBEROAMERICANO DE BIOMETRÍA (2019). ISBN: 978-84-09-11706-2.
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A. Simó, M.V. Ibáñez, I. Epifanio, V. Gimeno. Generealized partially linear models to predict the goodness of a child garment fit. 5th Stochastic Modeling Techniques and Data Analysis International Conference (SMTDA 2018). ISBN: 9786185180270.
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J. Moliner, Irene Epifanio. Bivariate Functional Archetypoid Analysis: An Application to Financial Time Series. Eighth International Conference on MATHEMATICAL AND STATISTICAL METHODS FOR ACTUARIAL SCIENCES AND FINANCE, 2018. In: Mathematical and Statistical Methods for Actuarial Sciences and Finance, pp. 473-476. Springer.
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Irene Epifanio López. Functional archetype and archetypoid analysis. The 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016). Archetypal analysis for functional data.
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Irene Epifanio López. La estadística tras el diseño ergonómico. Aplicación al diseño de las cabinas de aviones. Jornada de Divulgación y Aplicación de la Estadística. Valencia, 2013.
- G. Vinué, I. Epifanio, S. Alemany. Archetypes and Archetypoids: Contributions for estimating boundary cases in Antropometry and Ergonomics. XIV Conferencia Española de Biometría. 2013. 2nd Prize in the Early-Stage Researcher Prize.
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G. Vinué, A. Simó, M. V. Ibáñez, S. Alemany, G. Ayala, I. Epifanio, E. Durá. Clustering human body shapes using k-means algorithm. 20th International Conference on
Computational Statistics (COMPSTAT 2012).
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I. Epifanio. Stochastic Geometry and
Functional Data Analysis in
Image Analysis. International
Workshop on
Multivariate
Image Analysis, 2009.
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I. Epifanio, J. Domingo, G. Ayala. Texture classification by functional analysis of size distributions. The Eleventh IASTED International Conference on
Signal and Image Processing, 2009.
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I. Epifanio. Proximity data visualization with h-plots. useR! 2009.
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García-Gómez, J., Epifanio, I., Julà-Sapé, M., Monleón, D., Vicente, J., Tortajada, S., Fuster, E., Moreno-Torres, A., Peet, A., Howe, F., Celda, B., Arús, C. and Robles, M. (2009), "Possibilistic classification of Brain Tumors by MRS based on Functional Data Analysis and Subpattern discovery", Proceedings 17th Scientific Meeting, International Society for Magnetic Resonance in Medicine: 146.
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N. Ventura, I. Epifanio. Multivariate functional data discrimination using ICA: analysis of
hippocampal differences in Alzheimer's disease. First
International Workshop on
Functional and Operatorial Statistics, 2008. Contributions to Statistics, pp. 157-163. Springer, ISBN: 978-3-7908-2061-4.
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I. Epifanio, A. Simó. Jornada sobre las Aplicaciones de la Estereología y el Análisis
de Imagen en Radioterapia, 2007.
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I. Epifanio, M.V. Ibáñez, A. Simó. III Jornadas Científicas de las Sociedades Españolas de Epidemiología y de Biometría, 2006.
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I. Epifanio. Geometría Estocástica en el análisis de
imágenes a través de dos problemas. Seminario en Universidad Carlos III, 2006.
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I. Epifanio, M.V. Ibáñez. 5th IASC Asian Conference on Statistical Computing, 2005.
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I. Epifanio, G. Ayala, M.T. León. 3rd world conference on
Computational Statistics & Data Analysis, 2005.
- G. Ayala, E. Díaz, J. Domingo, I. Epifanio. Moments of size distributions applied to texture classification.
3rd International Symposium on Image and Signal Processing and Analysis, 2003.
- I. Epifanio, P. Soille. Segmentation of natural landscapes using morphological texture features. IEEE International Geoscience and Remote Sensing Symposium, 2003.
- I. Epifanio, X. Gual, V. Ibáñez, A. Simó. Stereology and image segmentation: support tools in radiology.
IX Conferencia Española de Biometría, 2003.
- G. Ayala, I. Epifanio, A. Simó, V. Zapater. Clusters of point patterns:
classifying corneal endothelia and arrangement of microaneurysms. RSS 2002.
- J. Malo, J. Gutierrez, I. Epifanio.
What motion information is perceptually relevant?.
Journal of Vision, 1(3), 309a, http://journalofvision.org/1/3/309, DOI 10.1167/1.3.309 (2001).
- Gutiérrez, J., Epifanio, I., Remagnino, P., Jones, G.A. and Ferri, F.J. (2001) Multi-event tracking with the CONDENSATION algorithm. In: IX Spanish Symposium on Pattern Recognition and Image Analysis.
- J. Amores, J. Gutiérrez, I. Epifanio, J, Malo, FJ Ferri. (2001). A content-based MPEG-2 implementation using perceptually weighted quantization. In: IX Spanish Symposium on Pattern Recognition and Image Analysis.
- J.Malo, I.Epifanio, R. Navarro, R. Valerio. Contrast normalization
as Statistical and Perceptual Decorrelation Transform in HVS Image Represenation.
OSA Annual Meeting/ILS-XVI 2000
- J.Gutiérrez, I.Epifanio, E.de Ves, F.Ferri. An active contour
model for the automatic detection of the fovea in fluorescein angiographies.
ICPR 2000
- I. Epifanio, G.Ayala . Random sets and texture analysis. IPMU 2000
STUDENTS
PhD Students
- Aleix Alcacer Sales. New developments and applications of archetypal analysis. PhD thesis, Universitat Jaume I, September 2024.
- Lara Ferrando Esteve. Neuroscience in algebraic problem solving:
Studying the reversal error. PhD thesis, Universitat Jaume I, January 2021.
(Lara Ferrando was awarded with Mención honorífica in XVI Premio Científico Técnico Ciutat d'Algemesí).
- Ismael Cabero Fayos. Some contributions to archetypal analysis with applications. PhD thesis, Universitat Jaume I, November 2019.
- Guillermo Vinué Visús. Development of statistical methodologies applied to
anthropometric data oriented towards the ergonomic
design of products. PhD thesis, Universitat de València, May 2014. (Awarded with the Premio Extraordinario de doctorado de la Universitat de València).
- Noelia Ventura-Campos. Contributions to statistical learning for magentic resonance images. PhD thesis, Universitat Jaume I, March 2013.
(Awarded with the Premio Extraordinario de doctorado de la Universitat Jaume I).
MSc Students
- Rafael Rodríguez Barrachina. Morfología matemática en análisis de imágenes. Teoría y aplicaciones con Octave. Master's thesis, Universitat Jaume I, 2024.
- Luis David Lisintuña Cisneros. Implementación de un Sistema de Control Estadístico de Calidad en Procesos de Producción de Empaques Flexibles en la Industria Plástica. Master's thesis, Universitat Jaume I, 2024.
- Beatriz Díaz Fernández
. Programa de formación con perspectiva de género para el profesorado. Instagram, Tik Tok y Youtube como recursos educativos para el aula de tutoría en educación secundaria obligatoria. Master's thesis, Universitat Jaume I, 2023.
Joan Boters Pitarch. Bosques aleatorios supervisados y no supervisados.
Aplicación al análisis de desigualdades económicas en el mundo. Master's thesis, Universitat Jaume I, 2021.
Mariola Gomis Pomares. Las mujeres en el sindicato Comisiones Obreras,
avances y retos. Propuestas y estrategias para mejorar
la igualdad de las mujeres en el mundo sindical. Master's thesis, Universitat Jaume I, 2021.
Aleix Alcacer Sales. Análisis de biarquetipos: definición y aplicación al análisis deportivo. Master's thesis, Universitat Jaume I, 2020.
Lara Ferrando Esteve. Classificació d’estructures cerebrals en 3D
amb anàlisi de dades funcionals. Aplicació a
problemes verbals amb errors d’inversió. Master's thesis, Universitat Jaume I, 2019.
Ismael Cabero Fayos. Aplicació en Didàctica de la Matemàtica de l’Anàlisi d’Arquetipoids. Master's thesis, Universitat Jaume I, 2018.
Jesús Moliner Moliner. Bivariate Functional Archetypoid Analysis: An Application to Financial Time Series. Master's thesis, Universitat Jaume I, 2017.
Cristóbal Rodero Gómez . Analysis of sea water infiltration in a sewage treatment plant using Random Forests and variable importance measures. Master's thesis, Universitat Jaume I, 2017.
Laura Millán Roures. Outliers de datos funcionales
para la detección de caudales anómalos en el sector
hidráulico. Master's thesis, Universitat Jaume I, 2017. (Awarded with the Premio al mejor TFM de la cátedra FACSA).
María Soler Martínez. Diseño de escenarios para la obtención de preferencias declaradas. Master's thesis, Universitat Jaume I, 2016.
Ana Manrique Barrué. Clúster de datos funcionales. Aplicación en la segmentación de imágenes aéreas. Master's thesis, Universitat Jaume I, 2011.
Noelia Ventura-Campos. Discriminación de datos funcionales multivariantes usando ICA:
análisis de diferencias hipocampales en la enfermedad de Alzheimer. Master's thesis, Universitat Jaume I, 2008.
BSc Students
- Sofía Peinado Sorrosal. Análisis estadístico del impacto del COVID en la violencia contra las mujeres. Bachelor's thesis, Universitat Jaume I, 2021.
- Lucía Masero Bravo. Estudio del aprendizaje en música y las habilidades matemáticas en neuroimagen mediante bosques aleatorios. Bachelor's thesis, Universitat Jaume I, 2019.
- Aleix Alcácer Sales. Algunas técnicas matemáticas usadas en la compresión de datos. Aplicación en imágenes digitales. Bachelor's thesis, Universitat Jaume I, 2018.
- Lara Ferrando Esteve. Mètodes de classificació aplicats a errors
d’inversió amb neuroimatges. Bachelor's thesis, Universitat Jaume I, 2018. Premio al mejor TFG XVI Concurso Student de Estadística Aplicada.
DIVULGACIÓN