DijetGAN: a Generative-Adversarial Network approach for the simulation of QCD dijet events at the LHC

A generative adversarial network approach to (ensemble) weather prediction

Neural Networks ◽

10.1016/j.neunet.2021.02.003 ◽

2021 ◽

Vol 139 ◽

pp. 1-16

Author(s):

Alex Bihlo

Keyword(s):

Weather Prediction ◽

Network Approach ◽

Efficient land desertification detection using a deep learning‐driven generative adversarial network approach: A case study

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.6604 ◽

2021 ◽

Author(s):

Nabil Zerrouki ◽

Abdelkader Dairi ◽

Fouzi Harrou ◽

Yacine Zerrouki ◽

Ying Sun

Keyword(s):

Deep Learning ◽

Network Approach ◽

Adversarial Network ◽

Land Desertification

A generative adversarial network approach to visual expressive speech synthesis with emotion control

10.47749/t/unicamp.2020.1149452 ◽

2020 ◽

Author(s):

Marina Raboni Ferreira

Keyword(s):

Speech Synthesis ◽

Network Approach ◽

Expressive Speech ◽

Adversarial Network ◽

Emotion Control

Deeply Emotional Talking Head: A Generative Adversarial Network Approach to Expressive Speech Synthesis with Emotion Control

ACM SIGGRAPH 2020 Posters ◽

10.1145/3388770.3407417 ◽

2020 ◽

Author(s):

Filipe Antonio de Barros Reis ◽

Paula Dornhofer Paro Costa ◽

José Mario de Martino

Keyword(s):

Speech Synthesis ◽

Network Approach ◽

Expressive Speech ◽

Adversarial Network ◽

Emotion Control ◽

Talking Head

A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC

10.22323/1.367.0050 ◽

2019 ◽

Author(s):

Riccardo Di Sipio ◽

Michele Faucci Giannelli ◽

Sana Ketabchi Haghighat ◽

Serena Palazzo

Keyword(s):

Network Approach ◽

A generative adversarial network approach to predicting postoperative appearance after orbital decompression surgery for thyroid eye disease

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2020.103628 ◽

2020 ◽

Vol 118 ◽

pp. 103628 ◽

Cited By ~ 5

Author(s):

Tae Keun Yoo ◽

Joon Yul Choi ◽

Hong Kyu Kim

Keyword(s):

Thyroid Eye Disease ◽

Eye Disease ◽

Decompression Surgery ◽

Orbital Decompression ◽

Network Approach ◽

User-Guided Chinese Painting Completion–A Generative Adversarial Network Approach

IEEE Access ◽

10.1109/access.2020.3029084 ◽

2020 ◽

Vol 8 ◽

pp. 187431-187440

Author(s):

Jieting Xue ◽

Jingtao Guo ◽

Yi Liu

Keyword(s):

Chinese Painting ◽

Network Approach ◽

2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA) ◽

Synthetic Dynamic PMU Data Generation: A Generative Adversarial Network Approach

10.1109/sgsma.2019.8784681 ◽

2019 ◽

Cited By ~ 1

Author(s):

Xiangtian Zheng ◽

Bin Wang ◽

Le Xie

Keyword(s):

Data Generation ◽

Network Approach ◽

2020 International Conference on Advanced Aspects of Software Engineering (ICAASE) ◽

A Blockchain Data Balance Using a Generative Adversarial Network Approach: Application to Smart House IDS

10.1109/icaase51408.2020.9380110 ◽

2020 ◽

Author(s):

Wayoud Bouzeraib ◽

Afifa Ghenai ◽

Nadia Zeghib

Keyword(s):

Network Approach ◽

Adversarial Network ◽

Smart House

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) ◽

Data-Driven Predictive Scheduling in Ultra-Reliable Low-Latency Industrial IoT: A Generative Adversarial Network Approach

10.1109/spawc48557.2020.9154307 ◽

2020 ◽

Author(s):

Chen-Feng Liu ◽

Mehdi Bennis

Keyword(s):

Data Driven ◽

Low Latency ◽

Network Approach ◽

Adversarial Network ◽

Industrial Iot ◽

Predictive Scheduling