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Machine learning

Mental fatigue prediction during eye-typing

Tanya Bafna, Per Bækgaard, John Paulin Hansen

Accuracy and precision of citizen scientist animal counts from drone imagery

Sarah A. Wood, Patrick W. Robinson, Daniel P. Costa, Roxanne S. Beltran

Context-sensitive smart glasses monitoring wear position and activity for therapy compliance—A proof of concept

Kai Januschowski, Frank R. Ihmig, [ ... ], Annekatrin Rickmann

A machine learning approach to identify distinct subgroups of veterans at risk for hospitalization or death using administrative and electronic health record data

Ravi B. Parikh, Kristin A. Linn, [ ... ], Amol S. Navathe

A deep learning approach for lower back-pain risk prediction during manual lifting

Kristian Snyder, Brennan Thomas, [ ... ], Dwight Werren

Non-Adherence Tree Analysis (NATA)—An adherence improvement framework: A COVID-19 case study

Ernest Edem Edifor, Regina Brown, Paul Smith, Rick Kossik

DTI-SNNFRA: Drug-target interaction prediction by shared nearest neighbors and fuzzy-rough approximation

Sk Mazharul Islam, Sk Md Mosaddek Hossain, Sumanta Ray

Facial geometric feature extraction based emotional expression classification using machine learning algorithms

Murugappan M., Mutawa A.

Dynamic graph embedding for outlier detection on multiple meteorological time series

Gen Li, Jason J. Jung

High density optical neuroimaging predicts surgeons’s subjective experience and skill levels

Hasan Onur Keles, Canberk Cengiz, [ ... ], Ahmet Omurtag

Review of machine learning methods in soft robotics

Daekyum Kim, Sang-Hun Kim, [ ... ], Sungho Jo

Patient journey through cases of depression from claims database using machine learning algorithms

Yoshitake Kitanishi, Masakazu Fujiwara, Bruce Binkowitz

Target spike patterns enable efficient and biologically plausible learning for complex temporal tasks

Paolo Muratore, Cristiano Capone, Pier Stanislao Paolucci

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