Articles

Deep learning for neuroimaging: a validation study

in Brain Imaging Methods

• Sergey M. Plis
• Devon R. Hjelm
• Ruslan Salakhutdinov
• Elena A. Allen
• Henry J. Bockholt
• Jeffrey D. Long
• Hans J. Johnson
• Jane S. Paulsen
• Jessica A. Turner
• Vince D. Calhoun

Porting HEP Parameterized Calorimeter Simulation Code to GPUs

in Big Data and AI in High Energy Physics

• Zhihua Dong
• Heather Gray
• Charles Leggett
• Meifeng Lin
• Vincent R. Pascuzzi
• Kwangmin Yu

Assessing optimal methods for transferring machine learning models to low-volume and imbalanced clinical datasets: experiences from predicting outcomes of Danish trauma patients

in Health Informatics

• Andreas Skov Millarch
• Alexander Bonde
• Mikkel Bonde
• Kiril Vadomovic Klein
• Fredrik Folke
• Søren Steemann Rudolph
• Martin Sillesen

Fast All-Electron Hybrid Functionals and Their Application to Rare-Earth Iron Garnets

in Computational Materials Science

• Matthias Redies
• Gregor Michalicek
• Juba Bouaziz
• Christian Terboven
• Matthias S. Müller
• Stefan Blügel 
• Daniel Wortmann

Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

in Neuromorphic Engineering

• Chetan Singh Thakur
• Jamal Lottier Molin
• Gert Cauwenberghs
• Giacomo Indiveri
• Kundan Kumar
• Ning Qiao
• Johannes Schemmel
• Runchun Wang
• Elisabetta Chicca
• Jennifer Olson Hasler

PyNN: a common interface for neuronal network simulators

• Andrew P Davison
• Daniel Brüderle
• Jochen M Eppler
• Jens Kremkow
• Eilif Muller
• Dejan Pecevski
• Laurent Perrinet
• Pierre Yger

KARGAMobile: Android app for portable, real-time, easily interpretable analysis of antibiotic resistance genes via nanopore sequencing

in Nanobiotechnology

• Alexander Barquero
• Simone Marini
• Christina Boucher
• Jaime Ruiz
• Mattia Prosperi

Moving robotics competitions virtual: The case study of RoboCupJunior Soccer Simulation (SoccerSim)

in Robotic Control Systems

• Felipe N. Martins
• Adrián Matejov
• Marek Šuppa

Effect of natural and synthetic noise data augmentation on physical action classification by brain–computer interface and deep learning

• Yuri Gordienko
• Nikita Gordienko
• Vladyslav Taran
• Anis Rojbi
• Sergii Telenyk
• Sergii Stirenko