Dimitris Spathis, Cambridge PhD student

Dimitris Spathis

Computer Science Ph.D. Student
University of Cambridge

I am a Ph.D. student in Computer Science at University of Cambridge, where I am advised by Cecilia Mascolo. I work in the fields of multi-modal machine learning, mobile sensing and human-computer interaction. My research is supported by the Embiricos Trust Scholarship at Jesus College, Cambridge.

Previously, I worked in Barcelona as a Data Scientist at Qustodio and as a Research Intern at Telefonica Research, both during my Master studies at the Aristotle University of Thessaloniki. During my Bachelor studies at Ionian University, I worked as a Mobile Software Engineer at CERTH, a national research center.

Curriculum Vitae



Diagnosing Asthma and Chronic Obstructive Pulmonary Disease with Machine Learning
Dimitris Spathis, Panayiotis Vlamos
Health Informatics Journal, 1460458217723169, 2017

Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words
Joan Serra, Ilias Leontiadis, Dimitris Spathis, Gianluca Stringhini, Jeremy Blackburn, Athena Vakali
Annual Meeting of the Association for Computational Linguistics 2017 (ALW Workshop), 36-40, 2017


A comparison between semi-supervised and supervised text mining techniques on detecting irony in greek political tweets
Basilis Charalampakis, Dimitris Spathis, Elias Kouslis, Katia Kermanidis
Engineering Applications of Artificial Intelligence, 51: 50-57, 2016


Detecting Irony on Greek Political Tweets: A Text Mining Approach
Basilis Charalampakis, Dimitris Spathis, Elias Kouslis, Katia Kermanidis
International Conference on Engineering Applications of Neural Networks, 2016


Glocal News: An Attempt to Visualize the Discovery of Localized Top Local News, Globally
Dimitris Spathis, Theofilos Mouratidis, Spyros Sioutas, Athanasios Tsakalidis
International Conference on Conceptual Modeling, LNCS, 2014


Photo-Quality Evaluation based on Computational Aesthetics: Review of Feature Extraction Techniques
Dimitris Spathis
arXiv preprint, 1612.06259, 2016


Community pop references

Communitypoprefs.com is a data visualization project, where we present every pop-culture reference during the 5 seasons of the TV sitcom Community #sixseasonsandamovie.

Map out your music taste on Spotify

Visualizing my favorite songs on Spotify with statistics, non-linear dimensionality reduction and one-class learning. Published in Cuepoint Magazine .

How do popular book authors use language differently?

Text mining on Game of Thrones, Harry Potter, Hunger Games and Lord of the Rings books. Featured in Medium's Editor Picks .

Discover top local news globally

Glocalne.ws was a mashup of Google News and Google Maps. Unfortunately now defunct due to API discontinuance.

Composing music and text with Recurrent Neural Networks

Training deep neural networks on massive amounts of musical notation (irish folk) and literature (Shakespeare's oeuvre) and letting them create their own art. Essay in Greek but you can still see/listen to the results.


Non-academic things about me: I love music, both playing and listening. Lately, I have been into art rock—indie folk. I am accordionist by training, but in recent years I've been playing mostly piano and ukulele. I have performed in classical orchestras, colleague groups and critically acclaimed indie bands like The Children of the Oldness (aka Kore Ydro). You can listen to the album I participated, "Consortium in Amato", here. I appreciate art and design and love to geek out over film directors and cinematography techniques. Sometimes I associate still depictions of the real world with words, lyrics or people. A subset of them is on Flickr. Lastly, and perhaps most importantly, I'm always on the lookout for ways to move items from the "non-academic list" to the "academic list"—let me know if you'd like to help!