Imperial College Union Student Choice Award
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Outstanding Academic Representation Network Team Award.
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Outstanding Academic Representation Network Team Award.
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Studentship offered by the EPSRC for the Centre of Doctoral Training in Statistics and Machine Learning (StatML CDT)
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Prize awarded for best MSc Statistics research project at Imperial College London.
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Runner-up & People’s Choice Award at poster competition at Imperial College London’s annual Maths PhD Symposium (2022).
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Nomination for the Faculty of Natural Sciences Prize for excellence in teaching and learning.
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Award for the best postgraduate/doctoral paper presented at the 6th Annual Conference of the Cyprus Statistical Society.
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People’s Choice Award at poster competition at Imperial College London’s annual Maths PhD Symposium (2025).
Published in Advances in Data Analysis and Classification, 2023
Recommended citation: @article{costa2023benchmarking, title={Benchmarking distance-based partitioning methods for mixed-type data}, author={Costa, Efthymios and Papatsouma, Ioanna and Markos, Angelos}, journal={Advances in Data Analysis and Classification}, volume={17}, number={3}, pages={701--724}, year={2023}, publisher={Springer} }
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Published in Under review, 2024
Recommended citation: @misc{costa2024nominalouts, title={A novel framework for quantifying nominal outlyingness}, author={Efthymios Costa and Ioanna Papatsouma}, year={2024}, eprint={2408.07463}, archivePrefix={arXiv}, primaryClass={stat.ME}, howpublished = {arXiv preprint}, url = {https://arxiv.org/abs/2408.07463}
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Published in Under review, 2024
Recommended citation: @misc{costa2024dibmix, title={A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data}, author={Costa, Efthymios and Papatsouma, Ioanna and Markos, Angelos}, year={2024}, eprint={2407.03389}, archivePrefix={arXiv}, primaryClass={stat.ME}, howpublished = {arXiv preprint}, url = {https://arxiv.org/abs/2407.03389}
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Published in Data Science, Classification, and Artificial Intelligence for Modeling Decision Making (IFCS 2024), 2025
Recommended citation: @inproceedings{costa2024deterministic, title={A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data}, author={Costa, Efthymios and Papatsouma, Ioanna and Markos, Angelos}, booktitle={Conference of the International Federation of Classification Societies}, pages={81--88}, year={2024}, organization={Springer} }
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Published in Statistica (to appear), 2025
Recommended citation:
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Poster Title: “Benchmarking distance-based partitioning methods for mixed-type data”. (poster)
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Presentation Title: “Clustering mixed-type data: Which method to choose?”. (slides)
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Poster Title: “Benchmarking distance-based partitioning methods for mixed-type data”. (poster)
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Poster Title: “A novel approach to outlier detection for mixed-type data”. (poster)
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Presentation Title: “Outlier detection for mixed-type data: A novel approach”. (slides)
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Presentation Title: “A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data”. (slides)
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Presentation Title: “A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data”. (slides)
Published:
Presentation Title: “A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data”. (slides)
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Presentation Title: “A novel framework for quantifying nominal outlyingness”. (slides)
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Presentation Title: “Utilising the Information Bottleneck algorithm for clustering mixed-type data”. (slides)
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Poster Title: “DIBmix: Information-based clustering for mixed-type data”. (poster)
Imperial College London, Department of Mathematics
Imperial College London, Department of Mechanical Engineering
Imperial College London, Department of Mathematics
Imperial College London, Department of Mathematics