2020 International Joint Conference on Neural Networks (IJCNN)
Latest Publications

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1127

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Published By IEEE

9781728169262

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Modular Framework to Predict Alzheimer’s Disease Progression Using Conditional Generative Adversarial Networks

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9206875 ◽

2020 ◽

Author(s):

Shoumik Roychowdhury ◽

Shounak Roychowdhury

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Disease Progression ◽

Generative Adversarial Networks ◽

Adversarial Networks ◽

Modular Framework

On the Role of Reward Functions for Reinforcement Learning in the Traffic Assignment Problem

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9207403 ◽

2020 ◽

Author(s):

Ricardo Grunitzki ◽

Gabriel de Oliveira Ramos

Keyword(s):

Reinforcement Learning ◽

Assignment Problem ◽

Traffic Assignment ◽

Traffic Assignment Problem ◽

Reward Functions

Learning Filterbanks from Raw Waveform for Accent Classification

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9206778 ◽

2020 ◽

Author(s):

Rashmi Kethireddy ◽

Sudarsana Reddy Kadiri ◽

Suryakanth V. Gangashetty

Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9207509 ◽

2020 ◽

Author(s):

Yuqiao Liu ◽

Yanan Sun ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Neural Networks ◽

Image Denoising ◽

Convolutional Neural Networks ◽

Hyperspectral Image ◽

Deep Convolutional Neural Networks

Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9207031 ◽

2020 ◽

Author(s):

Luis Miguel Nunez ◽

Margarida Julia-Sape ◽

Enrique Romero ◽

Carles Arus ◽

Alfredo Vellido ◽

...

Keyword(s):

Feature Selection ◽

Data Analysis ◽

Mrsi Data

Feature Map Transform Coding for Energy-Efficient CNN Inference

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9206968 ◽

2020 ◽

Author(s):

Brian Chmiel ◽

Chaim Baskin ◽

Evgenii Zheltonozhskii ◽

Ron Banner ◽

Yevgeny Yermolin ◽

...

Keyword(s):

Energy Efficient ◽

Transform Coding ◽

Feature Map

RelationNet2: Deep Comparison Network for Few-Shot Learning

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9206909 ◽

2020 ◽

Author(s):

Xueting Zhang ◽

Yuting Qiang ◽

Flood Sung ◽

Yongxin Yang ◽

Timothy Hospedales

Improving Abstractive Text Summarization with History Aggregation

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9207502 ◽

2020 ◽

Cited By ~ 1

Author(s):

Pengcheng Liao ◽

Chuang Zhang ◽

Xiaojun Chen ◽

Xiaofei Zhou

Keyword(s):

Text Summarization

Working-memory prefrontal model for cognitive flexibility in task-switching and selection

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9206985 ◽

2020 ◽

Author(s):

Julien Abrossimoff ◽

Alexandre Pitti ◽

Philippe Gaussier

Keyword(s):

Working Memory ◽

Cognitive Flexibility ◽

Task Switching

Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9207024 ◽

2020 ◽

Author(s):

Andre Mendes ◽

Julian Togelius ◽

Leandro dos Santos Coelho

Keyword(s):

Data Imputation ◽

Domain Learning

2020 International Joint Conference on Neural Networks (IJCNN)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

A Modular Framework to Predict Alzheimer’s Disease Progression Using Conditional Generative Adversarial Networks

On the Role of Reward Functions for Reinforcement Learning in the Traffic Assignment Problem

Learning Filterbanks from Raw Waveform for Accent Classification

Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising

Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis

Feature Map Transform Coding for Energy-Efficient CNN Inference

RelationNet2: Deep Comparison Network for Few-Shot Learning

Improving Abstractive Text Summarization with History Aggregation

Working-memory prefrontal model for cognitive flexibility in task-switching and selection

Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder

2020 International Joint Conference on Neural Networks (IJCNN)
Latest Publications