EURO 2024 Copenhagen
Abstract Submission

EURO-Online login

Session TC-40: Data mining biomedical applications in stream Advances in Stochastic Modelling and Learning Methods

Tuesday, 12:30-14:00
Room: 96 (building: 306)

Session chair(s):
Javier Cabrera (cabrera@stat.rutgers.edu)
Michael Katehakis (mnk@rutgers.edu)
Nuria Diaz-Tena (nd796@newark.rutgers.edu)

The following abstracts have been submitted in this session:
3386. A Natural Hermite dissimilarity index randomization for the design of pre-clinical studies, based on a genetic algorithm. Sofia Weigle [R] - United States
accepted
3388. Principal Phrase Mining: An Automated Method for Extracting Meaningful Phrases from Text Ellie Small [R] - United States
accepted
3431. Forecasting high dimensional Tensor with relatively few observations. Nuria Diaz-Tena [R] - United States
accepted