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07/23/2023
X-CapsNet For Fake News Detection
News consumption has significantly increased with the growing popularity...
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05/26/2022
An Analytic Framework for Robust Training of Artificial Neural Networks
The reliability of a learning model is key to the successful deployment ...
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04/07/2022
Using Decision Tree as Local Interpretable Model in Autoencoder-based LIME
Nowadays, deep neural networks are being used in many domains because of...
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07/22/2021
Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks
In this paper, we study the adversarial examples existence and adversari...
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07/03/2021
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
In this paper, we propose a novel pooling layer for graph neural network...
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01/08/2021
A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules
A wide variety of deep reinforcement learning (DRL) models have recently...
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10/27/2020
Learning Financial Asset-Specific Trading Rules via Deep Reinforcement Learning
Generating asset-specific trading signals based on the financial conditi...
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02/03/2020
Detecting Fake News with Capsule Neural Networks
Fake news is dramatically increased in social media in recent years. Thi...
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06/26/2019
A Deep Decoder Structure Based on WordEmbedding Regression for An Encoder-Decoder Based Model for Image Captioning
Generating textual descriptions for images has been an attractive proble...
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11/26/2017
Novel Adaptive Genetic Algorithm Sample Consensus
Random sample consensus (RANSAC) is a successful algorithm in model fitt...
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08/26/2017
Robust Stereo Feature Descriptor for Visual Odometry
In this paper, we propose a simple way to utilize stereo camera data to ...
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11/20/2015
