Articles

Prediction of miRNAs and diseases association based on sparse autoencoder and MLP

in Computational Genomics

• Si-Lin Sun
• Bing-Wei Zhou
• Sheng-Zheng Liu
• Yu-Han Xiu
• Anas Bilal
• Hai-Xia Long

BANSMDA: a computational model for predicting potential microbe-disease associations based on bilinear attention networks and sparse autoencoders

in Computational Genomics

• Xianzhi Liu
• Mingmin Liang
• Ge Yu
• Shichang Tang
• Ouxiang Wu
• Bin Zeng
• Lei Wang

EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder

• Junxiu Liu
• Guopei Wu
• Yuling Luo
• Senhui Qiu
• Su Yang
• Wei Li
• Yifei Bi

SAELGMDA: Identifying human microbe–disease associations based on sparse autoencoder and LightGBM

in Systems Microbiology

• Feixiang Wang
• Huandong Yang
• Yan Wu
• Lihong Peng
• Xiaoling Li

Unsupervised Phoneme and Word Discovery From Multiple Speakers Using Double Articulation Analyzer and Neural Network With Parametric Bias

in Computational Intelligence in Robotics

• Ryo Nakashima
• Ryo Ozaki
• Tadahiro Taniguchi

Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator algorithm

in Cancer Imaging and Image-directed Interventions

• Muhammad Sami Ullah
• Muhammad Attique Khan
• Anum Masood
• Olfa Mzoughi
• Oumaima Saidani
• Nazik Alturki

Multi-Hierarchical Fusion to Capture the Latent Invariance for Calibration-Free Brain-Computer Interfaces

in Brain Imaging Methods

• Jun Yang
• Lintao Liu
• Huijuan Yu
• Zhengmin Ma
• Tao Shen

A hybrid neural network based on KF-SA-Transformer for SOC prediction of lithium-ion battery energy storage systems

in Energy Storage

• Yifei Xiong
• Qinglian Shi
• Lingxu Shen
• Chen Chen
• Wu Lu
• Cong Xu

The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network

• A.V. Medvedev
• B. Lehmann

A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort

in Radiation Oncology

• Michela Carlotta Massi
• Francesca Gasperoni
• Francesca Ieva
• Anna Maria Paganoni
• Paolo Zunino
• Andrea Manzoni
• Nicola Rares Franco
• Liv Veldeman
• Piet Ost
• Valérie Fonteyne

ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data

• Fahad Almuqhim
• Fahad Saeed

A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes

in Brain Imaging Methods

• Hailong Li
• Nehal A. Parikh
• Lili He

A deep hybrid CSAE-GRU framework with two-stage balancing for automatic epileptic seizure detection using EEG-derived features

in Brain Imaging Methods

• Fei Xiang
• Mingyue Liu
• Wenna Chen
• Shaojie Zheng
• Jincan Zhang
• Ganqin Du