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76 |
HarMI Recognizing Human Activity Using Multi-Modality Incremental Learning |
Abstract
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77 |
Forecasting Traffic Speed for a Segment Network Using GraphSAGE with Sparse Data |
Abstract
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78 |
Deep Features for Pedestrian Detection and Handcrafted Design A Study |
Abstract
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79 |
A Deep Learning Method for Predicting Flight Delays Using Time-Evolving Graphs |
Abstract
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80 |
Investigating Human Mobility to Improve Multi-pattern Passenger Prediction Model for Graph Learning |
Abstract
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81 |
Retinal image generation and detectable diabetic retinopathy |
Abstract
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82 |
Deep Learning-Based End-to-End Automatic Morphological Classification of Intracranial Pressure Pulse Waveforms |
Abstract
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83 |
Convolutional neural networks can be trained efficiently with low-bitwidth weights and activations. |
Abstract
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84 |
Federated Reptile for Semi-supervised Multi-Tasking in Healthcare Applications Using Dynamic Neural Graphs |
Abstract
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85 |
Deep Neural Networks for Driver Identification and Verification From Smartphone Accelerometers |
Abstract
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86 |
Dense Correspondence-Based Estimation of the 6 DoF Pose Using DPODv2 |
Abstract
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87 |
CNN-Based Distracted Driving Detection with Decreasing Filter Size |
Abstract
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88 |
A Deep Learning Based Framework for Robust Traffic Sign Detection in Extreme Weather Conditions is called DFR-TSD. |
Abstract
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89 |
Recovery of Detailed Avatar from a Single Image |
Abstract
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90 |
Magnetic resonance imaging's DeepSPIO Super Paramagnetic Iron Oxide Particle Quantification |
Abstract
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91 |
Using Pretreatment PETCT, DeepMTS Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma |
Abstract
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92 |
Modeling Deeply Generatively VAEs, GANs, Normalizing Flows, Energy-Based, and Autoregressive Models: A Comparative Review |
Abstract
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93 |
Deep Clustering for Skin Lesion Detection in Highly Imbalanced Datasets via Center-Oriented Margin Free-Triplet Loss |
Abstract
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94 |
For the Electric Vehicle Routing Problem with Time Windows, Deep Reinforcement Learning |
Abstract
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95 |
For Intelligent Transportation Systems, Deep Reinforcement Learning: A Survey |
Abstract
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96 |
Applications of Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving |
Abstract
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97 |
A Survey on Deep Learning in Lane Marking Detection |
Abstract
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98 |
Does Deep Learning Matter for Road Traffic Forecasting? |
Abstract
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99 |
Deep Hough Transform for Detecting Semantic Lines |
Abstract
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100 |
Driver Activity Monitoring with Deep CNN, Body Pose, and Body-Object Interaction Features |
Abstract
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