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07/03/2023
Autism Spectrum Disorder Classification in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder
Autism spectrum disorder (ASD) is a highly disabling mental disease that...
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06/12/2023
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation
Explainability poses a major challenge to artificial intelligence (AI) t...
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05/29/2023
Intelligent gradient amplification for deep neural networks
Deep learning models offer superior performance compared to other machin...
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05/23/2023
Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI
Integrating the brain structural and functional connectivity features is...
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03/03/2023
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
Multi-modal integration and classification based on graph learning is am...
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07/19/2022
Approximate c-Optimal Experimental Designs with Correlated Observations using Combinatorial Optimisation
We review the use of combinatorial optimisation algorithms to identify a...
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06/09/2022
Meta-data Study in Autism Spectrum Disorder Classification Based on Structural MRI
Accurate diagnosis of autism spectrum disorder (ASD) based on neuroimagi...
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04/07/2022
Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder
The development of noninvasive brain imaging such as resting-state funct...
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06/07/2021
Generative Adversarial Networks: A Survey Towards Private and Secure Applications
Generative Adversarial Networks (GAN) have promoted a variety of applica...
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05/20/2021
Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks
The novel corona virus (Covid-19) has introduced significant challenges ...
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05/10/2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates
Federated Learning (FL) is an emerging decentralized learning framework ...
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04/23/2021
Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification
From crying to babbling and then to speech, infant's vocal tract goes th...
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04/19/2021
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems
Traditional goal-oriented dialogue systems rely on various components su...
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01/31/2021
Infant Cry Classification with Graph Convolutional Networks
We propose an approach of graph convolutional networks for robust infant...
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09/24/2020
PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks
Deep learning has gained great success in various classification tasks. ...
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09/23/2020
Deep Neural Networks with Short Circuits for Improved Gradient Learning
Deep neural networks have achieved great success both in computer vision...
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09/15/2020
Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association
Graphs can be used to effectively represent complex data structures. Lea...
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07/10/2020
Improved Detection of Adversarial Images Using Deep Neural Networks
Machine learning techniques are immensely deployed in both industry and ...
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06/23/2020
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm
Convolutional Neural Networks (CNN) have gained great success in many ar...
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06/16/2020
Gradient Amplification: An efficient way to train deep neural networks
Improving performance of deep learning models and reducing their trainin...
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12/27/2018
Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize
Building open domain conversational systems that allow users to have eng...
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01/11/2018
Conversational AI: The Science Behind the Alexa Prize
Conversational agents are exploding in popularity. However, much work re...
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11/22/2017
Three-Stream Convolutional Networks for Video-based Person Re-Identification
This paper aims to develop a new architecture that can make full use of ...
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10/08/2017
Reconstruction of Hidden Representation for Robust Feature Extraction
This paper aims to develop a new and robust approach to feature represen...
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10/06/2016
