Image classification method on class imbalance datasets using multi-scale CNN and two-stage transfer learning

Evolutionary synthetic oversampling technique and cocktail ensemble model for warfarin dose prediction with imbalanced data

(2021) Yanyun Tao et al.   NEURAL COMPUTING & APPLICATIONS

HPWO-LS-based deep learning approach with S-ROA-optimized optic cup segmentation for fundus image classification

(2021) J. Ramya et al.   NEURAL COMPUTING & APPLICATIONS

Crowd counting by using multi-level density-based spatial information: A Multi-scale CNN framework

(2020) Li Dong et al.   INFORMATION SCIENCES

An efficient neural-network model for real-time fault detection in industrial machine

(2020) Amar Kumar Verma et al.   NEURAL COMPUTING & APPLICATIONS

Classification of olive leaf diseases using deep convolutional neural networks

(2020) Sinan Uğuz et al.   NEURAL COMPUTING & APPLICATIONS

Convolutional neural network-based models for diagnosis of breast cancer

(2020) Mehedi Masud et al.   NEURAL COMPUTING & APPLICATIONS

Optimize TSK Fuzzy Systems for Classification Problems: Minibatch Gradient Descent With Uniform Regularization and Batch Normalization

(2020) Yuqi Cui et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

On the Vulnerability of CNN Classifiers in EEG-Based BCIs

(2019) Xiao Zhang et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Adaptive multi-scale deep neural networks with perceptual loss for panchromatic and multispectral images classification

(2019) Cheng Shi et al.   INFORMATION SCIENCES

Multi-task cascade deep convolutional neural networks for large-scale commodity recognition

(2019) Xiaofeng Zou et al.   NEURAL COMPUTING & APPLICATIONS

MFC-GAN: Class-imbalanced dataset classification using Multiple Fake Class Generative Adversarial Network

(2019) Adamu Ali-Gombe et al.   NEUROCOMPUTING

A Two-Stage Transfer Learning-Based Deep Learning Approach for Production Progress Prediction in IoT-Enabled Manufacturing

(2019) Shaohua Huang et al.   IEEE Internet of Things Journal

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

A regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data

(2018) Xiaohui Yuan et al.   PATTERN RECOGNITION

Multi-Class Sleep Stage Analysis and Adaptive Pattern Recognition

(2018) Aleš Procházka et al.   Applied Sciences-Basel

A systematic study of the class imbalance problem in convolutional neural networks

(2018) Mateusz Buda et al.   NEURAL NETWORKS

Salient Object Detection via Multi-Scale Attention CNN

(2018) Yuzhu Ji et al.   NEUROCOMPUTING

A fast and robust convolutional neural network-based defect detection model in product quality control

(2017) Tian Wang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection

(2016) Daniel Weimer et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Edge-Guided Image Gap Interpolation Using Multi-Scale Transformation

(2016) Bahareh Langari et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Classification evaluation

(2016) Jake Lever et al.   NATURE METHODS

Software defect prediction using cost-sensitive neural network

(2015) Ömer Faruk Arar et al.   APPLIED SOFT COMPUTING

Diversity techniques improve the performance of the best imbalance learning ensembles

(2015) José F. Díez-Pastor et al.   INFORMATION SCIENCES

A cost-sensitive decision tree approach for fraud detection

(2013) Yusuf Sahin et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING