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Machine learning algorithms

Predicting drug activity against cancer cells by random forest models based on minimal genomic information and chemical properties

Alex P. Lind, Peter C. Anderson

Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators

Xiaodong Luo

Identifying incident dementia by applying machine learning to a very large administrative claims dataset

Vijay S. Nori, Christopher A. Hane, [ ... ], Darshak M. Sanghavi

A feature agnostic approach for glaucoma detection in OCT volumes

Stefan Maetschke, Bhavna Antony, [ ... ], Rahil Garnavi

Machine learning to predict microbial community functions: An analysis of dissolved organic carbon from litter decomposition

Jaron Thompson, Renee Johansen, John Dunbar, Brian Munsky

Intrinsic dimensionality of human behavioral activity data

Luana Fragoso, Tuhin Paul, [ ... ], Nathaniel D. Osgood

Physics driven behavioural clustering of free-falling paper shapes

Toby Howison, Josie Hughes, Fabio Giardina, Fumiya Iida

On the improvement of reinforcement active learning with the involvement of cross entropy to address one-shot learning problem

Honglan Huang, Jincai Huang, [ ... ], Li Chen

A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface

Asier Salazar-Ramirez, Jose I. Martin, [ ... ], Basilio Sierra

Large-scale probabilistic identification of boreal peatlands using Google Earth Engine, open-access satellite data, and machine learning

Evan Ross DeLancey, Jahan Kariyeva, Jason T. Bried, Jennifer N. Hird

Can we predict firms’ innovativeness? The identification of innovation performers in an Italian region through a supervised learning approach

Ilaria Gandin, Claudio Cozza

Fast optimization of non-negative matrix tri-factorization

Andrej Čopar, Blaž Zupan, Marinka Zitnik

Functional form estimation using oblique projection matrices for LS-SVM regression models

Alexander Caicedo, Carolina Varon, Sabine Van Huffel, Johan A. K. Suykens

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