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Deep learning

Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis

Che Wei Chang, Mesakh Christian, [ ... ], Wei Jen Chen

Employing automatic content recognition for teaching methodology analysis in classroom videos

Muhammad Aasim Rafique, Faheem Khaskheli, [ ... ], Moongu Jeon

Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study

Simrat K. Sodhi, Austin Pereira, [ ... ], Netan Choudhry

Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels

Mark Schutera, Luca Rettenberger, Christian Pylatiuk, Markus Reischl

Segmentation of HE-stained meningioma pathological images based on pseudo-labels

Chongshu Wu, Jing Zhong, [ ... ], Peng Shi

Stock prediction based on bidirectional gated recurrent unit with convolutional neural network and feature selection

Qihang Zhou, Changjun Zhou, Xiao Wang

Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences

Jørgen Berntsen, Jens Rimestad, [ ... ], Mikkel Fly Kragh

A method of detecting apple leaf diseases based on improved convolutional neural network

Jie Di, Qing Li

Validation of a deep learning-based image analysis system to diagnose subclinical endometritis in dairy cows

Hafez Sadeghi, Hannah-Sophie Braun, [ ... ], Osvaldo Bogado Pascottini

Deep learning via LSTM models for COVID-19 infection forecasting in India

Rohitash Chandra, Ayush Jain, Divyanshu Singh Chauhan

Personalized next-best action recommendation with multi-party interaction learning for automated decision-making

Longbing Cao, Chengzhang Zhu

Deep learning model calibration for improving performance in class-imbalanced medical image classification tasks

Sivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer Antani

Data analysis and personalized recommendation of western music history information using deep learning under Internet of Things

Zongye Yang

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