About

I am a second year PhD student at the University of Amsterdam. I am supervised by Prof. Maarten de Rijke and Dr. Zeynep Akata. I work on Multimodal Machine Learning, specifically Multimodal Summarization.

In September 2017 I obtained my master's degree in Artificial Intelligence from the University of Amsterdam. The topic and title of my thesis was Explaining Rankings . You can find it here.

You can find my CV here.





News


  • I will be joining Microsoft Research in Redmond for an internship in the summer of 2019.

  • You can now read our paper based on my master thesis at Blendle: Faithfully Explaining Rankings in A News Recommender System.

  • At the 1st of January I have started my PhD at the University of Amsterdam, supervised by Prof. Maarten de Rijke and Dr. Zeynep Akata. I will be working on Multimodal Machine Learning, in particular Multimodal Summarization.

  • I successfully defended my master thesis on Explaining Rankings and graduated from the master Artificial Intelligence at the University of Amsterdam (Cum Laude). You can find my thesis here.

  • Our paper on explaining news article recommendations was accepted at the FATREC workshop at RecSys 2017. You can find the paper here.





Publications





Talks

Please find a list of selected talks below:

  • Automatic Summarization, Lecture Information Retrieval. Amsterdam, Netherlands. March 08, 2019 (Slides).

  • Explaining Rankings, Master Thesis Defense. Amsterdam, Netherlands. September 29, 2017 (Slides).

  • Do News Consumers Want Explanations for Personalized News Rankings?, RecSys 2017, FATREC workshop, Como, Italy. September 5, 2017 (Slides).

  • Kunstmatige intelligentie concreet, Podcast (www.deuitvinders.xyz).





Teaching

Student Supervision:

  • 2019 - David Stap, MSc Artificial Intelligence, UvA, MSc thesis.
  • 2019 - Joris Baan, MSc Artificial Intelligence, UvA, MSc thesis.
  • 2018 - David Ruhe, MSc Data Science, UvA, MSc thesis, Topic: Adversarial examples for capsule networks.
  • 2018 - Dennis Craandijk, MSc Data Science, UvA, MSc thesis, Topic: Automatic unseen event extraction from text.
  • 2018 - Mink Rohmer, MSc Data Science, UvA, MSc thesis, Topic: Classifying the severity of written complaints.
Courses:

  • 2018 - Information Retrieval 2, Master A.I.
  • 2015 - Logic Programming and Search.
  • 2015 - Introduction to A.I.
  • 2015 - Academic Skills.
  • 2015 - Natural Language Processing.





Get in touch


m [dot] a [dot] terhoeve [at] uva [dot] nl


Science Park 904, Room C3.241, 1098 XH Amsterdam, The Netherlands