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Training digital hologram watermarking deep neural network considering hologram distributions


StressNAS: Affect State and Stress Detection Using Neural Architecture Search

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Impact of COVID-19 on surgical training

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Wasserstein GANs for MR Imaging: From Paired to Unpaired Training


Robust Regularization with Adversarial Labelling of Perturbed Samples



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Joint Beam Training and Positioning for Intelligent Reflecting Surfaces Assisted Millimeter Wave Communications


Uplink Beam Management for Millimeter Wave Cellular MIMO Systems with Hybrid Beamforming

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Learning to Prune in Training via Dynamic Channel Propagation


Multi-Dataset, Multitask Learning of Egocentric Vision Tasks.

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Adaptive Deep Reinforcement Learning-Based In-Loop Filter for VVC


Deep learning enabled ultra-fast-pitch acquisition in clinical X-ray Computed Tomography.

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Weakly Supervised Cell Segmentation by Point Annotation


Self-Supervised Deep Learning Encodes High-Resolution Features of Protein Subcellular Localization

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Deep Feature Extraction for Resting-State Functional MRI by Self-Supervised Learning and Application to Schizophrenia Diagnosis


Ear Recognition Based on Deep Unsupervised Active Learning

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Baseline Model Training in Sensor-Based Human Activity Recognition: An Incremental Learning Approach


Fuzzy Integral With Particle Swarm Optimization for CNN-Based Motor-Imagery EEG Classification

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Imbalance Malware Classification by Decoupling Representation and Classifier


Extreme Learning Machine design for dealing with unrepresentative features

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Ego-Motion Estimation Using Recurrent Convolutional Neural Networks through Optical Flow Learning


Indirect Domain Shift for Single Image Dehazing

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An Exploration of Integrating History of the Communist Party of China into Translation Teaching for English Majors


Research on the Output Demand of Primary Education Specialty Based on OBE Concept

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LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition


Self-Supervised Learning of Audio Representations From Permutations With Differentiable Ranking

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Self-Play or Group Practice: Learning to Play Alternating Markov Game in Multi-Agent System


Lightweight and Interpretable Neural Modeling of an Audio Distortion Effect Using Hyperconditioned Differentiable Biquads

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Musculoskeletal radiology training in the UK: a national survey by the British Society of Skeletal Radiologists.


Establishing CREATE: Lessons learned in setting up a training environment for early-career researchers in respiratory medicine

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Deep learning for model order reduction of multibody systems to minimal coordinates


Machine Learning-Based Seafloor Seismic Prestack Inversion

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Dual Application of Speech Enhancement for Automatic Speech Recognition


Adjoint-Driven Deep-Learning Seismic Full-Waveform Inversion

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CovSegNet: A Multi Encoder–Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans


TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples

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Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN


Parameters optimization method for the time-delayed reservoir computing with a nonlinear duffing mechanical oscillator

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Aerosol emission from the respiratory tract: an analysis of relative risks from oxygen delivery systems


Community building in synthetic biology

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Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent


Adaptive Hybrid Beamforming for Uplink Multi-user Millimeter Wave Systems

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Fedrec: Federated Learning of Universal Receivers Over Fading Channels


Verifiable and privacy preserving federated learning without fully trusted centers

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Reliability-Driven Neuromorphic Computing Systems Design


Bit-wise Autoencoder for Multiple Antenna Systems

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Federated Learning Empowered End-Edge-Cloud Cooperation for 5G HetNet Security


Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario.

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Minority Class Oriented Active Learning for Imbalanced Datasets


A Proposal of Quantum-Inspired Machine Learning for Medical Purposes: An Application Case

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Sybil Attack Identification for Crowdsourced Navigation: A Self-Supervised Deep Learning Approach


Learn to Synchronize, Synchronize to Learn

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Crowd counting via Multi-Scale Adversarial Convolutional Neural Networks


Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild

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Towards Robust Training of Multi-Sensor Data Fusion Network Against Adversarial Examples in Semantic Segmentation


Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques

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Deep Embedded Multi-view Clustering with Collaborative Training


Person Re-Identification by Context-aware Part Attention and Multi-Head Collaborative Learning

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Gradient-based training of Gaussian Mixture Models for High-Dimensional Streaming Data


Gradient-Based Training of Gaussian Mixture Models for High-Dimensional Streaming Data

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Susan Claire Pritchard


Trainee engagement with reflection in online portfolios: A qualitative study highlighting the impact of the Bawa-Garba case on professional development

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Developing Facebook Chatbot Based on Deep Learning Using RASA Framework for University Enquiries


Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection

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Towards Robust Training of Multi-Sensor Data Fusion Network Against Adversarial Examples in Semantic Segmentation


LeeBERT: Learned Early Exit for BERT with cross-level optimization


Analysis on the Current Situation of Financial Management Accounting Personnel Training Program and Curriculum in Colleges and Universities in the Era of Big Data



End-to-End Learning of Communication System without Known Channel



Talent Training Scheme for Applied Undergraduate Majors of International Economics and Trade Research Status



Residual Learning With Multifactor Extreme Learning Machines for Waveheight Prediction



Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology



Does gender matter for the unemployment hysteresis effect among Asian countries?



Computing Lyapunov functions using deep neural networks



Smart constitutive laws: Inelastic homogenization through machine learning



Correlative multimodal imaging: Building a community.



Self-Supervised Pretraining of Transformers for Satellite Image Time Series Classification


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10.1016/j.neuropsychologia.2021.107921

Motor sequence learning in patients with ideomotor apraxia: Effects of long-term training



Facilitative Exercise for Surface Myoelectric Activity Using Robot Arm Control System - Training Scheme with Gradually Increasing Difficulty Level -



Learning time-frequency mask for noisy speech enhancement using gaussian-bernoulli pre-trained deep neural networks



Neural mode jump Monte Carlo.



A Deep Learning Approach for Colonoscopy Pathology WSI Analysis: Accurate Segmentation and Classification



Self-Supervised Transfer Learning from Natural Images for Sound Classification



Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory



Cross-Dataset Point Cloud Recognition Using Deep-Shallow Domain Adaptation Network



Few-shot learning for cardiac arrhythmia detection based on electrocardiogram data from wearable devices



Maximizing Parallel Activation of Word-Lines in MRAM-Based Binary Neural Network Accelerators



Analysis of Body Behavior Characteristics after Sports Training Based on Convolution Neural Network



Machine-Learning-Based Closed-Set Text-Independent Speaker Identification Using Speech Recorded During 25 Hours of Prolonged Wakefulness



Reducing Streaming ASR Model Delay with Self Alignment



An Efficient Hardware Implementation of CNN-Based Object Trackers for Real-Time Applications



Self-Alignment Pretraining for Biomedical Entity Representations



Improving RNN-T ASR Accuracy Using Context Audio



Transferring Structured Knowledge in Unsupervised Domain Adaptation of a Sleep Staging Network.



Neural BRDF Representation and Importance Sampling


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10.1109/ICASSP39728.2021.9413723

Semi-Supervised Singing Voice Separation With Noisy Self-Training



NAS-EOD: an end-to-end Neural Architecture Search method for Efficient Object Detection



Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes



Few-Shot Question Answering by Pretraining Span Selection



Training Spiking Neural Networks in the Strong Coupling Regime



Exploration of Extracurricular Practice Teaching Mode of Mechanical Innovative Design Based on OBE Concept


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Training Scheme 교육 계획


Training Scheme 교육 계획
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