Evangelos Michelioudakis

Evangelos Michelioudakis

Machine Learning Researcher, PhD

whoami

Hi! I am a machine learning reasearcher deeply interested in AI/ML theory, ML for healthcare, optimization techniques, mathematical logic, and programming languages.

I hold a Ph.D. in Machine Learning, as well as an M.Sc. and a Diploma in Electrical and Computer Engineering. I earned my Ph.D. from the National and Kapodistrian University of Athens, working in the group of Dr. George Paliouras and Prof. Dr. Alexander Artikis in the National Center for Scientific Research “Demokritos” (NCSRD). My doctoral research was focused on the development of semi-supervised multi-relational learning methods for event recognition applications. I joined NCSRD in 2014, while working on my master thesis, where I actively participated in several international research projects, and contributed significantly to the development of structure learning methods for Markov Logic Networks.

My current research interests center on developing multi-modal AI models that are capable of reasoning and generalizing into out-of-distribution inputs. I firmly believe that progress in these areas is crucial, particularly for mission-critical domains such as medical and biomedical applications.

Interests
  • Neuro-Symbolic Learning
  • Neural Program Induction
  • Infercence-Time Adaptation
  • Graph Neural Networks
  • Statistical Relational Learning
Education

  • Ph.D. in Machine Learning, 2023

    National and Kapodistrian University of Athens

  • M.Sc. in Computer Engineering, 2016

    Technical University of Crete

  • Diploma in Computer Engineering, 2014

    Technical University of Crete

publications

C. Akasiadis, E. Kladis, P.F. Kamberi, E. Michelioudakis, E. Alevizos, A. Artikis (2024).
A Framework to Evaluate Early Time-Series Classification Algorithms.
In EDBT, pp. 623–635, OpenProceedings.

PDF Cite Code Dataset Project DOI

E. Michelioudakis, A. Artikis, G. Paliouras (2024).
Online Semi-Supervised Learning of Composite Event Rules by Combining Structure and Mass-Based Predicate Similarity.
In Machine Learning, 113(3), pp. 1445–1481.

PDF Cite Code Project DOI

E. Michelioudakis (2023).
Scalable Semi-Supervised Structure Learning for Event Recognition.
Doctoral Thesis, National and Kapodistrian University of Athens, Greece.

PDF Cite Code Project Slides

V. Stavropoulos, E. Michelioudakis, C. Akasiadis, A. Artikis (2022).
Resource-Effective Exploration of Tumor Treatments with Multi-scale Simulations.
In SETN, pp. 1–10, ACM.

PDF Cite Code Project DOI

C. Akasiadis, M. Ponce-de-Leon, A. Montagud, E. Michelioudakis, A. Atsidakou, A. Alevizos, A. Artikis, A. Valencia, G. Paliouras (2022).
Parallel Model Exploration for Tumor Treatment Simulations.
In Computational Intelligence, pp. 1379–1401 Wiley.

PDF Cite Code Project DOI

E. Kladis, C. Akasiadis, E. Michelioudakis, E. Alevizos, A. Artikis (2021).
An Empirical Evaluation of Early Time-Series Classification Algorithms.
In EDBT/ICDT Workshops.

PDF Cite Dataset Project

E. Michelioudakis, A. Artikis, G. Paliouras (2019).
Semi-Supervised Online Structure Learning for Composite Event Recognition.
In Machine Learning, 108(7), pp. 1085–1110.

PDF Cite Dataset Project DOI Appendix

E. Alevizos, A. Artikis, N. Katzouris, E. Michelioudakis, G. Paliouras (2018).
The Complex Event Recognition Group.
In SIGMOD Record, 47(2), pp. 61–66.

PDF Cite DOI

N. Katzouris, E. Michelioudakis, A. Artikis, G. Paliouras (2018).
Online Learning of Weighted Relational Rules for Complex Event Recognition.
In ECML/PKDD, pp. 396–413, Springer.

PDF Cite Dataset Poster Slides DOI

E. Michelioudakis, A. Skarlatidis, G. Paliouras, A. Artikis (2016).
OSL𝛼: Online Structure Learning Using Background Knowledge Axiomatization.
In ECML/PKDD, pp. 232–247, Springer.

PDF Cite Code Dataset Project Poster Slides Video DOI Appendix

E. Michelioudakis, A. Artikis, G. Paliouras (2016).
Online Structure Learning for Traffic Management.
In Inductive Logic Programming, pp. 27–39, Springer.

PDF Cite Project Poster Slides DOI