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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
db-robust-clust
A Python package with robust, distance-based clustering algorithms (including Fast K-Medoids and Q-Fold Fast K-Medoids) for large volumes of mixed-type data.
robust-mixed-dist
A Python package implementing robust statistical distances for mixed-type multivariate data, developed as part of my PhD research.
publications
On generalized Gower distance for mixed-type data: extensive simulation study and new software tools
Published in Statistics and Operations Research Transactions (SORT), 2025
Robust distances for mixed-type data, namely robust generalized Gower and robust related metric scaling, together with a new Python package implementing them.
Recommended citation: Grané, A., & Scielzo-Ortiz, F. (2025). "Robust distances for mixed-type data: Robust generalized Gower and robust related metric scaling." Statistics and Operations Research Transactions (SORT). https://doi.org/10.57645/20.8080.02.28
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New Distance-Based Robust Clustering Algorithms for Large Mixed-Type Data
Published in Advances in Data Analysis and Classification, 2026
New distance-based robust clustering algorithms designed to scale to large volumes of mixed-type multivariate data.
Recommended citation: Grané, A., & Scielzo-Ortiz, F. (2026). "New distance-based robust clustering algorithms for large mixed-type data." Advances in Data Analysis and Classification. https://doi.org/10.1007/s11634-026-00701-9
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Evaluating the Educational Impact of an LLM Virtual Assistant in Video-Based Learning
Published in Submitted to Journal of Computer Assisted Learning (JCAL), 2026
A controlled trial with secondary and vocational students examining whether an LLM-based pedagogical agent layered on instructional video improves learning gains, self-efficacy and cognitive load.
Recommended citation: Scielzo-Ortiz, F., et al. (2026). "Evaluating the educational impact of an LLM virtual assistant in video-based learning." (Submitted to Journal of Computer Assisted Learning).
Quantifying Global Polarization: Detection and Analysis of Opinion Groups on the Gaza Conflict at International Level Based on Reddit Data
Published in Submitted for publication at Journal of Computational Social Sciences (JCSS), 2027
A robust computational framework, combining LLM-based feature extraction with robust mixed-data clustering, to detect and analyze international opinion groups on the Gaza conflict from Reddit data.
Recommended citation: Scielzo-Ortiz, F., Grané, A., & Díaz-Gorfinkiel, M. (2026). "Quantifying global polarization: Detection and analysis of opinion groups on the Gaza conflict at international level based on Reddit data." (Submitted for publication).
Data Science for Decision-Making in Public Health: A robust Clustering Approach for Large-Scale Weighted and Mixed-Type Socio-Economic Data
Published in Submitted for publication, 2027
A novel distance-based unsupervised statistical learning framework for large-scale weighted mixed-type data to identify multidimensional health and well-being profiles among older Europeans.
Recommended citation: Albarrán, I., Grané, A., & Scielzo-Ortiz, F. (2026). "Data Science for Decision-Making in Public Health: A robust Clustering Approach for Large-Scale Weighted and Mixed-Type Socio-Economic Data." (Submitted for publication at Socio-Economic Planning Sciences).
talks
VI International Workshop on Proximity Data. Multivariate Analysis and Classification (AMyC 2024)
Published:
Oral presentation of “New distance-based robust clustering algorithms for large mixed-type data” at the VII International Workshop on Proximity Data. Multivariate Analysis and Classification, organized by the AMyC Group and SEIO at Universidad de Girona (AMyC 2024), Girona, Spain.
3rd Conference of the Statistics and Data Science Group of the Italian Statistical Society (2025)
Published:
Oral communication presenting “Data Science for Decision-Making in Public Health: A robust Clustering Approach for Large-Scale Weighted and Mixed-Type Socio-Economic Data” (co-authored with Aurea Grané and Irene Albarrán), at the 3rd Conference of the Statistics and Data Science Group of the Italian Statistical Society, Milan, Italy.
XLI National Congress in Statistics, Operations Research and Data Science (SEIO 2025)
Published:
Oral communication presenting “Data Science for Decision-Making in Public Health: A robust Clustering Approach for Large-Scale Weighted and Mixed-Type Socio-Economic Data” (co-authored with Aurea Grané and Irene Albarrán), at the XLI National Congress in Statistics and Operations Research (SEIO 2025), Lleida, Spain.
VII International Workshop on Proximity Data, Multivariate Analysis and Classification (AMyC 2026)
Published:
Oral presentation of “New distance-based robust clustering algorithms for large mixed-type data” at the VII International Workshop on Proximity Data. Multivariate Analysis and Classification, organized by the AMyC Group and SEIO at Universidad de Salamanca (AMyC 2026), Salamanca, Spain.
XIII Jornada Estadística UAM (2026)
Published:
Oral presentation of “New distance-based robust clustering algorithms for large mixed-type data” at the XIII Jornada Estadística UAM, Universidad Autónoma de Madrid, Madrid, Spain.
19th Conference of the International Federation of Classification Societies (IFCS 2026)
Published:
Oral communication presenting “Quantifying global polarization: Detection and analysis of opinion groups on the Gaza conflict at international level based on Reddit data” (co-authored with Aurea Grané and Magdalena Díaz-Gorfinkiel), at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), Università degli Studi di Milano Bicocca, Milan, Italy.
XLII National Congress in Statistics, Operations Research and Data Science (SEIO 2026)
Published:
Oral communication presenting “Quantifying global polarization: Detection and analysis of opinion groups on the Gaza conflict at international level based on Reddit data” (co-authored with Aurea Grané and Magdalena Díaz-Gorfinkiel), at the XLII National Congress in Statistics, Operations Research and Data Science in Santiago de Compostela, Spain (SEIO 2026).
teaching
Machine Learning: Supervised Classification
Workshop session, Saturdays AI & ANBAN Data Science Course, Universidad de Elche, 2024
Taught the session “Machine Learning: clasificación supervisada” (Machine Learning: supervised classification) as part of the Data Science course organized by Saturdays AI and ANBAN, held at Universidad de Elche, Spain.
Python Programming for Data Science
Bootcamp module, ANBAN Data Science Bootcamp, 2025
Designed and taught the Python Programming for Data Science module of the ANBAN Data Science Bootcamp, covering Python fundamentals and applied programming skills for data science.