Articles

Harnessing Deep Learning in Ecology: An Example Predicting Bark Beetle Outbreaks

in Functional Plant Ecology

• Werner Rammer
• Rupert Seidl

Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments

in Cognitive Science

• Kamila M. Jozwik
• Nikolaus Kriegeskorte
• Katherine R. Storrs
• Marieke Mur

The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions

• Vanessa D'Amario
• Sanjana Srivastava
• Tomotake Sasaki
• Xavier Boix

DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains

• Xiayu Chen
• Ming Zhou
• Zhengxin Gong
• Wei Xu
• Xingyu Liu
• Taicheng Huang
• Zonglei Zhen
• Jia Liu

Perceptual Dominance in Brief Presentations of Mixed Images: Human Perception vs. Deep Neural Networks

• Liron Z. Gruber
• Aia Haruvi
• Ronen Basri
• Michal Irani

The Right Direction Needed to Develop White-Box Deep Learning in Radiology, Pathology, and Ophthalmology: A Short Review

in Computational Intelligence in Robotics

• Yoichi Hayashi

Tiller estimation method using deep neural networks

in Technical Advances in Plant Science

• Rikuya Kinose
• Yuzuko Utsumi
• Masakazu Iwamura
• Koichi Kise

Failure Detection in Deep Neural Networks for Medical Imaging

in Medtech Data Analytics

• Sabeen Ahmed
• Dimah Dera
• Saud Ul Hassan
• Nidhal Bouaynaya
• Ghulam Rasool

Stable tensor neural networks for efficient deep learning

in Data Science

• Elizabeth Newman
• Lior Horesh
• Haim Avron
• Misha E. Kilmer

Illuminating the Black Box: Interpreting Deep Neural Network Models for Psychiatric Research

in Computational Psychiatry

• Yi-han Sheu

BEAN: Interpretable and Efficient Learning With Biologically-Enhanced Artificial Neuronal Assembly Regularization

• Yuyang Gao
• Giorgio A. Ascoli
• Liang Zhao

Net2Brain: a toolbox to compare artificial vision models with human brain responses

• Domenic Bersch
• Martina G. Vilas
• Sari Saba-Sadiya
• Timothy Schaumlöffel
• Kshitij Dwivedi
• Christina Sartzetaki
• Radoslaw M. Cichy
• Gemma Roig

RoMIA: a framework for creating Robust Medical Imaging AI models for chest radiographs

in Artificial Intelligence in Radiology

• Aditi Anand
• Sarada Krithivasan
• Kaushik Roy

SpyKing—Privacy-preserving framework for Spiking Neural Networks

in Neuromorphic Engineering

• Farzad Nikfam
• Alberto Marchisio
• Maurizio Martina
• Muhammad Shafique

Predicting ischemic stroke risk from atrial fibrillation based on multi-spectral fundus images using deep learning

in Cardiac Rhythmology

• Hui Li
• Mengdi Gao
• Haiqing Song
• Xiao Wu
• Gang Li
• Yiwei Cui
• Yang Li
• Zhaoheng Xie
• Qiushi Ren
• Haitao Zhang

A comparative review of deep and spiking neural networks for edge AI neuromorphic circuits

in Neuromorphic Engineering

• Pietro M. Ferreira
• Siqi Wang
• Yueyuan Gao
• Aziz Benlarbi-Delai