June 2017: I will give a talk on previous multiple instance learning work at Benelearn 2017

September 2017: I am one of the organizers of the MICCAI LABELS workshop in Quebec, Canada

21 March 2017: I will present a poster on our crowdsourcing work at the Dutch ICT Research conference, ICT.Open

17th March 2017: I am giving a talk in the seminar of the Data Mining group at Eindhoven University of Technology

7th February 2017: I’m giving a talk about crowdsourcing airway annotations at the Dutch forum for Games Research

January 2017: New preprint on classification of COPD now available on arXiV

December 2016: Our survey on multiple instance learning is now available on arXiv. Hats off to Marc-André Carbonneau who did most of the work!

December 2016: My and email addresses will soon no longer be active, please use v.cheplygina[at] instead

November 2016: I’m excited to announce that I am joining the Medical Image Analysis group at Eindhoven University of Technology as an assistant professor from February 2017. My thoughts about this are here

23rd November 2016: I am visiting lots of awesome people and giving a talk at The Image Section, University of Copenhagen, Denmark

11th November 2016: I’m organizing the fall meeting of the Dutch society of Pattern Recognition with keynotes by Joaquin Vanschoren, Diana Mateus and Julian de Wit.

3rd of November 2016: I am visiting Chloé Azencott and giving a talk at MINES ParisTech

September 2016: Added code for the recent IEEE Transactions on Neural Networks and Learning Systems paper

26th August 2016: Dylan Dophemont has successfully defended his BSc thesis on ValleyWatch, a game for crowdsourcing airway annotations

August 2016: Our paper on crowdsourcing of airway annotations was accepted at the MICCAI LABELS workshop.

29th of May 2016: I’m organizing the spring meeting of the Dutch society on Pattern Recognition, with keynotes by Lena Maier-Hein and Thorsten Joachims

February 2016: I am one of the winners of the Pallas Ludens Academic Challenge. Together we will do a crowdsourcing project for extracting airways in chest CT images.

January 2016: Added code for our Pattern Recognition paper

December 2015: Our paper “Asymmetric similarity-weighted ensembles for image segmentation” has been accepted at ISBI 2016

November 2015: Our idea about a crowdsourcing game for medical image analysis made it to the finals of the STW OpenMind (in Dutch) award. See the pitch of the idea here.

30th September 2015: I am giving a talk about my work on multiple instance learning at HCI at the University of Heidelberg

18th September 2015: I am giving a talk about learning with less labels at the symposium of the Netherlands Forum for Biomedical Image Analysis (NFBIA)

10th of June 2015: I have successfully defended my PhD thesis.

April 2015: Our paper Label Stability in Multiple Instance Learning has been accepted at MICCAI 2015

10th July 2015: I’m co-organizing the second workshop on Features and Structures (FEAST) at the International Conference on Machine Learning in Lille, France.

April 2015: Our paper On Classification with Bags, Groups and Sets has been accepted at Pattern Recognition Letters.

January 2015: I started my postdoc at the Biomedical Imaging Group Rotterdam at the Erasmus Medical Center.

July 2014: Our paper Multiple Instance Learning with Bag Dissimilarities has been accepted at Pattern Recognition.

24th August 2014: I’m co-organizing a workshop on Features and Structures at the International Conference of Pattern Recognition in Stockholm, Sweden.

September 2013: I will be on a research visit at the Machine Learning and Computational Biology group at the Max Planck Institute for Intelligent Systems in Tübingen, Germany between September and December 2013

March 2013: I have been awarded an ACM-W scholarship sponsored by Microsoft Research Advanced Technology Labs Europe to attend Multiple Classifier Systems 2013 in Nanjing, China

I officially started my PhD on the 1st of January 2011 (at least, this is what it says in my contract… 1st of January was in fact a Saturday, so I did not do anything until the 3rd). A New Year for me therefore also means a new PhD year. At the end of last year, I already had an evaluation of my first year. However, all employees also have yearly job evaluations, and I had mine just recently. So although my “second year” really started 2 months ago, I still have the feeling it just started.

I never do “real” New Year’s resolutions because I think you can decide what you want to do at any moment in time. I do have some resolutions now, following the last evaluation. For the first time, I actually wrote down some sort of plan for the next year, and for the rest of the PhD. It is a very vague plan, but it is still a plan! My resolution now is to improve this plan and follow it, and hope that this will help me use my time more effectively.

My plan for March is to submit a paper to ICPR and to follow a presentation course I signed up for recently. These are more or less “easy” things to plan. I am completely sure how to plan “working on ideas”, especially how to get from an idea to something that I can plan (such as experiments). Maybe I should include it in my plan that I should find this out 🙂

March 2011: Our paper on Pruned Random Subspace Method for One-Class Clasifiers has been accepted at the 10th International Workshop on Multiple Classifier