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TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition
In this paper, we propose TSception, a multi-scale convolutional neural ...
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Augmentation Strategies for Learning with Noisy Labels
Imperfect labels are ubiquitous in real-world datasets. Several recent s...
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Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet
The identification of nerve is difficult as structures of nerves are cha...
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A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views?
When diagnosing the brain tumor, doctors usually make a diagnosis by obs...
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DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption
The need for medical image encryption is increasingly pronounced, for ex...
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Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing
Deep Neural Networks (DNNs) have achieved remarkable success in many com...
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Planimation
Planimation is a modular and extensible open source framework to visuali...
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A polynomial-time algorithm for learning nonparametric causal graphs
We establish finite-sample guarantees for a polynomial-time algorithm fo...
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DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things
Internet of Medical Things (IoMT) can connect many medical imaging equip...
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TSception: A Deep Learning Framework for Emotion Detection Using EEG
In this paper, we propose a deep learning framework, TSception, for emot...
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Minimax Crossover Designs
In crossover experiments, two broad types of treatment effects are typic...
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Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning
Sepsis is the leading cause of mortality in the ICU. It is challenging t...
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Dynamical systems theory for causal inference with application to synthetic control methods
To estimate treatment effects in panel data, suitable control units need...
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Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Much attention has been devoted recently to the development of machine l...
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RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection
The early detection and early diagnosis of lung cancer are crucial to im...
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Multiresolution Kernel Approximation for Gaussian Process Regression
Gaussian process regression generally does not scale to beyond a few tho...
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