News

2022

September

• Talk – Just back from Sicily where I participated in the 6th Workshop on Models and Learning in Clustering and Classification (MBC2) – Presented some work in progress on clustering mixed-type data …stay tuned!

• Lecture – A pleasure to give a class on programming with R to the new cohort of the SFI CRT Foundations of Data Science students!

July

• Talk – Attended the 17th conference of the International Federation of Classification Societies, where I’ve been invited to present our work in the invited session on Dimension reduction organized by Cinzia Viroli.

• Talk – Back again to the Working Group in Model-based Clustering, albeit on Zoom, to present our research on Model-based clustering of mixed-type data via mixtures of mixed graphical models.

2021

October

• New paper! – Our work Unobserved classes and extra variables in high-dimensional discriminant analysis has been accepted for publication in Advances in Classification and Data Analysis, with Pierre-Alexandre Mattei, Charles Bouveyron and Brendan Murphy. Here links to arXiv and code.

• Talk – Enjoyed to be back to the Working Group in Model-based Clustering in Athens! It was great to see again so many “colleagfriends”!

June

• Talk – Zoominar, Ca’ Foscari University of Venice, Italy
  A composite likelihood approach for model-based clustering of high-dimensional data.

May

• New preprint! – Casa A., Cappozzo A., Fop M. (2021)
  Group-wise shrinkage for multiclass Gaussian Graphical Models. arXiv

April

• Talk – Zoominar, Mitchell Centre for Social Network Analysis, UK
  Model-based clustering for multidimensional networks: An application to a terrorist network in Southeast Asia.

February

• New preprint! – Fop M., Mattei P-A., Bouveyron C., Murphy T.B. (2021)
  Unobserved classes and extra variables in high-dimensional discriminant analysis. arXiv
• I’ve joined the programme committee of IC2S2 2021, the 7th International Conference on Computational Social Science - Looking forward to it!

2020

• Honoured to have been appointed reviewer in the editorial board of the Journal of Machine Learning Research.
• New article! – Rastelli, R, and Fop, M. (2020) - A stochastic blockmodel for interaction lengths.
  Advances in Data Analysis and Classification, online Link | arXiv | R package
• New preprint! – D’Angelo, S., and Alfò, M., and Fop, M. (2020)
  Model-based clustering for multivariate networks. arXiv
• New R package! – covglasso – Estimation of sparse covariance matrices, on CRAN.