In these research fields he acts as a reviewer in peer-reviewed international journals and as (co-)organizer of special sessions and issues at international conferences and journals. He is a member of the editorial board and associate editor of the international Springer journal ‘Evolving Systems...
It notices that the challenge organizer privately owns the ground truth of the glioma subtype of the validation and testing data. In the validation phase, participants submit the prediction results to the challenge for online evaluating the algorithm. However, participants are only allowed to submit ...
He has served as a Director and Organizer of the NATO Advanced Study Institute on Learning Theory and Practice (Leuven 2002), as a program co-chair for the International Joint Conference on Neural Networks 2004 and the International Symposium on Nonlinear Theory and its Applications 2005, as an...
Self-organizer. Functional classification of Apps. This work examines the possibility of using machine learning techniques for the organization of Apps based on their functionality. The main questions we faced were as follows: (1) Is it possible to perform Apps categorization based on their functio...
Consider, for example, a party gathering with a lot of participants and high security requirements. Before the party gathering, each invited participant is requested to provide his/her high quality photo along with his/her identification (ID) information to the party organizer. Upon receiving the...
First, lesions from the images are segmented using segmentation masks provided by the organizer of the challenge. The shape of the lesion is an indicator of malignancy; thus, it is essential to keep original proportions of the lesion in the image. Therefore, square image patches are cropped wit...
We thank to Post-2017-MICCAI-challenge testing phase organizer for ACDC dataset and the support to conduct segmentation and diagnosis testing. Conflicts of Interest The authors declare no conflict of interest. References Kokubo, Y.; Matsumoto, C. Hypertension Is a Risk Factor for Several Types of...
“static” benchmark. A common practice in current research that uses such datasets to divide sequential training batches is to randomly divide a large dataset into several subdatasets. For example, Friedemann et al. [15] split the full MNIST [21] training dataset into five batches, each of ...