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Advancing skin cancer classification across multiple scales with attention-weighted transformers

A review of time-series anomaly detection techniques: a step to future perspectives

Automatic and robust segmentation of multiple sclerosis lesions with convolutional neural networks

A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences

A model to enhance governance issues through opinion extraction

An investigation of credit card default prediction in the imbalanced datasets

Performance comparison and current challenges of using machine learning techniques in cybersecurity

Light-weight recurrent deep learning algorithm for non-intrusive load monitoring

Automatic prediction of the conversion of clinically isolated syndrome to multiple sclerosis using deep learning

Multiple kernel-based multimedia fusion for automated event detection from tweets

A novel level set segmentation algorithm for computer-aided hepatic surgical planning

Automatic Alzheimer's disease recognition from MRI data using deep learning method

Automatic fish recognition and counting in the video footage of fishery operations

Automatic lung field segmentation in x-ray radiographs using statistical shape and appearance models

Intelligent tuna recognition for fisheries monitoring

Rib suppression in chest radiographs for lung nodule enhancement

Accurate object segmentation using novel active shape and appearance models based on support vector machine Learning

Review on the methods of automatic liver segmentation from abdominal images

Automatic power load event detection and appliance classification based on power harmonic features in nonintrusive appliance load monitoring

Improvement of liver segmentation by combining high order statistical texture features with anatomical structural features

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