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07/06/2022
A Comprehensive Review on Deep Supervision: Theories and Applications
Deep supervision, or known as 'intermediate supervision' or 'auxiliary s...
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12/10/2021
Logical Boltzmann Machines
The idea of representing symbolic knowledge in connectionist systems has...
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10/27/2021
Hand gesture detection in tests performed by older adults
Our team are developing a new online test that analyses hand movement fe...
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05/10/2021
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network
Food resources face severe damages under extraordinary situations of cat...
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04/28/2020
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition
Multimodal dimensional emotion recognition has drawn a great attention f...
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03/24/2020
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition
Deep learning has been applied to achieve significant progress in emotio...
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05/15/2019
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Current advances in Artificial Intelligence and machine learning in gene...
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03/25/2019
dpUGC: Learn Differentially Private Representation for User Generated Contents
This paper firstly proposes a simple yet efficient generalized approach ...
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03/11/2019
ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings
In this paper, we introduce a comprehensive toolkit, ETNLP, which can ev...
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06/18/2018
On Multi-resident Activity Recognition in Ambient Smart-Homes
Increasing attention to the research on activity monitoring in smart hom...
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10/06/2017
The Recurrent Temporal Discriminative Restricted Boltzmann Machines
The recurrent temporal restricted Boltzmann machine (RTRBM) has been suc...
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06/06/2017
Unsupervised Neural-Symbolic Integration
Symbolic has been long considered as a language of human intelligence wh...
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05/31/2017