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08/28/2023
Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm
As technology progresses, industrial and scientific robots are increasin...
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03/13/2023
Reinforcement Learning-based Wavefront Sensorless Adaptive Optics Approaches for Satellite-to-Ground Laser Communication
Optical satellite-to-ground communication (OSGC) has the potential to im...
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12/15/2022
Interpretable ML for Imbalanced Data
Deep learning models are being increasingly applied to imbalanced data i...
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10/17/2022
Understanding CNN Fragility When Learning With Imbalanced Data
Convolutional neural networks (CNNs) have achieved impressive results on...
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07/13/2022
Efficient Augmentation for Imbalanced Deep Learning
Deep learning models memorize training data, which hurts their ability t...
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05/05/2022
Automated Imbalanced Classification via Layered Learning
In this paper we address imbalanced binary classification (IBC) tasks. A...
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07/29/2021
On the combined effect of class imbalance and concept complexity in deep learning
Structural concept complexity, class overlap, and data scarcity are some...
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05/09/2021
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification
Real-world classification domains, such as medicine, health and safety, ...
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12/03/2020
ReMix: Calibrated Resampling for Class Imbalance in Deep learning
Class imbalance is a problem of significant importance in applied deep l...
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05/26/2020
Active Measure Reinforcement Learning for Observation Cost Minimization
Standard reinforcement learning (RL) algorithms assume that the observat...
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04/15/2020
