September 2017: I am one of the organizers of the MICCAI LABELS workshop in Quebec, Canada
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 tudelft.nl and erasmusmc.nl email addresses will soon no longer be active, please use v.cheplygina[at]tue.nl instead
23rd November 2016: I am visiting lots of awesome people and giving a talk at The Image Section, University of Copenhagen, Denmark
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
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
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.
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