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Curriculum Vitae

My CV is available here (last update 19/01/2020)
Please check my LinkedIn profile more more up-to-date information.

Contact - Profiles

Research Interests

  • multi-target prediction (classification/regression)
  • image-text annotation/retrieval
  • learning from data streams
  • recommender systems


A full list of my publications along with their accompanying documents and media can be found here.

Data Mining Contests - Awards

I have participated in several Data Mining contests with some very good results:

  • MediaEval 2014
    I participated for a second consequtive year in the Retrieving Diverse Social Images task of MediaEval 2014, representing the SocialSensor team. This year we built upon previous year's "visual" method and used it to generate all types of runs. As a result, we developed the best-performing visual-only run, the 3rd text-only run and the best (by a large margin) visual+textual run. Our visual+textual run was also ranked 2nd overall, marginally beaten by a run that used external data. Here is a working notes paper and a poster describing our approach. Also check out this article in SocialSensor's site!
  • WISE 2014
    I got a top 10 finish (7th) in a Kaggle competition (WISE 2014) and was awarded the kaggle master badge!!! Here are the slides of a talk that I gave at WISE 2014 conference, describing my approach. And also the talk itself (synced with slides) is available here!
  • MediaEval 2013
    I was responsible for the best-performing visual-only run (and 3rd overall!) in the "Retrieving Diverse Social Images" task. Our team also received an idea-originality award. Here is a working notes paper and a poster describing our approach.
  • DMC 2013
    The participation in Data Mining Cup 2013 could have been a great success (1st place and 2000$ prize) if there was not this tiny but catastrophic bug in the implementation. Here is a short report with more details about the worst(=best) performing approach and here is a funny graphic.
  • JRS 2012
    In JRS 2012 data mining competition on topical classification of biomedical research documents we crossed the line 9th out 396 teams. Given the relatively short time that we invested and the tough competition this is considered a very good placement. Here is a short description of our approach.
  • ImageCLEF 2011
    We submitted the best-performing run in the "Concept-based Retrieval" subtask of the "Photo Annotation" task. Here is the paper and the poster describing our approach and finally a photo from the ImageCLEF lab.
  • ECML/PKDD 2011
    We took the 2nd place in the "Cold Start Recommendations" track of the ECML/PKDD 2011 Discovery Challenge, receiving a 700 euro prize and an invitation for a paper describing our approach in the workshop proceedings. Here is the award and some photos from the workshop.
  • DMC 2011
    We took the 7th place in the Data Mining Cup 2011! Here are the slides of a short presentation describing our approach and a photo taken at the award ceremony.
  • ISMIS 2011
    I took the 1st place in the "Music Instruments" track of the ISMIS 2011 contest on Music Information Retrieval. The 1st place award included a prize of 1000 USD and an invitation for a paper describing the approach in the conference proceedings. I also wrote a non-technical blog post about my experience in this contest. There is also a footage of my presentation.

I recently received distinctions from the Aristotle University of Thessaloniki (see here) and the Greek Ministry of Education (see here) for the these achievements.

Latest News

  • 24/6/2016: I successfully defended my PhD!!!
  • 14/6/2016: Many things have happened in between but the big news is that, eventually, on 24/6/2016 I am defending my PhD!
  • 8/4/2015: After all, I have started writing my PhD thesis!
  • 15/3/2015: Our paper "Improving Diversity in Image Search via Supervised Relevance Scoring" got accepted at ICMR 2015!
  • 15-20/9/2014: I attended a great conference (ECML/PKDD 2014) and had the chance to meet great people working on Machine Learning. Also gave a talk on "Drawing Parallels between Multi-label Classification and Multi-target Regression" at the Multi-target Prediction (MTP) workshop of ECML/PKDD 2014!
  • 15/7/2014: I got a top 10 finish (7th) in a Kaggle competition (WISE 2014) and was awarded the kaggle master badge!!!
  • 1/7/2014: My first IEEE Transactions article was published in IEEE Explore!
  • 9/6/2014: Our paper "Multi-Target Regression via Random Linear Target Combinations" (see Publications page) got accepted in ECML PKDD 2014!