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10/25/2022
A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model
Stack autoencoder (SAE), as a representative deep network, has unique an...
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06/25/2022
Envelope imbalanced ensemble model with deep sample learning and local-global structure consistency
The class imbalance problem is important and challenging. Ensemble appro...
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11/17/2021
Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data
Parkinson disease (PD)'s speech recognition is an effective way for its ...
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11/02/2021
Envelope Imbalance Learning Algorithm based on Multilayer Fuzzy C-means Clustering and Minimum Interlayer discrepancy
Imbalanced learning is important and challenging since the problem of th...
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08/23/2021
Subject Envelope based Multitype Reconstruction Algorithm of Speech Samples of Parkinson's Disease
The risk of Parkinson's disease (PD) is extremely serious, and PD speech...
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08/09/2021
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution
High-resolution magnetic resonance images can provide fine-grained anato...
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05/29/2021
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
In this survey, we systematically summarize the current literature on st...
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03/23/2021
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks
Learning from demonstrations has made great progress over the past few y...
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03/11/2021
Integrated Age Estimation Mechanism
Machine-learning-based age estimation has received lots of attention. Tr...
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08/28/2020
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles
Recent advances in supervised learning and reinforcement learning have p...
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06/20/2020
Deep Double-Side Learning Ensemble Model for Few-Shot Parkinson Speech Recognition
Diagnosis and therapeutic effect assessment of Parkinson disease based o...
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02/17/2020
Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble
Deep learning is a kind of feature learning method with strong nonliear ...
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02/10/2020
Classification Algorithm of Speech Data of Parkinsons Disease Based on Convolution Sparse Kernel Transfer Learning with Optimal Kernel and Parallel Sample Feature Selection
Labeled speech data from patients with Parkinsons disease (PD) are scarc...
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02/07/2020
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning
Lane-change maneuvers are commonly executed by drivers to follow a certa...
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02/04/2020
Adversarially Robust Frame Sampling with Bounded Irregularities
In recent years, video analysis tools for automatically extracting meani...
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02/04/2020
TPPO: A Novel Trajectory Predictor with Pseudo Oracle
Forecasting pedestrian trajectories in dynamic scenes remains a critical...
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02/02/2020
A Novel Graph based Trajectory Predictor with Pseudo Oracle
Pedestrian trajectory prediction in dynamic scenes remains a challenging...
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11/29/2019
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles
Reinforcement Learning algorithms have recently been proposed to learn t...
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11/19/2019
Adversarial Inverse Reinforcement Learning for Decision Making in Autonomous Driving
Generative Adversarial Imitation Learning (GAIL) is an efficient way to ...
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06/06/2019
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
As autonomous vehicles (AVs) need to interact with other road users, it ...
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06/05/2019
Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm
Lane change is a challenging task which requires delicate actions to ens...
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04/23/2019
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning
We apply Deep Q-network (DQN) with the consideration of safety during th...
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01/31/2019
A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle
A reliable controller is critical and essential for the execution of saf...
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04/21/2018
A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers
Lane change is a crucial vehicle maneuver which needs coordination with ...
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03/25/2018
Autonomous Ramp Merge Maneuver Based on Reinforcement Learning with Continuous Action Space
Ramp merging is a critical maneuver for road safety and traffic efficien...
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03/25/2018
Maneuver Control based on Reinforcement Learning for Automated Vehicles in An Interactive Environment
Operating a robot safely and efficiently can be considerably challenging...
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09/07/2017
