• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 12 matches

• 2024
• 
  S. Soundararajan, B. R. Tapas Bapu, S. Sargunavathi, I. Poonguzhali:
  Self-attention based generative adversarial network with Aquila optimization algorithm espoused energy aware cluster head selection in WSN. Int. J. Commun. Syst. 37(5) (2024)
• 
  Chen Jiang, Mengxian Chen, Huasen Xie, Hua Wang, Jun Xu:
  A Method for Anomaly Detection in Power Time Series Data within Energy Big Data Based on Generative Adversarial Networks. BigDataSecurity 2024: 125-129
• 2023
• 
  Afshin Marani, Lei Zhang, Moncef L. Nehdi:
  Design of concrete incorporating microencapsulated phase change materials for clean energy: A ternary machine learning approach based on generative adversarial networks. Eng. Appl. Artif. Intell. 118: 105652 (2023)
• 
  Ge Song, Seong Hyeon Hong, Tristan Kyzer, Yi Wang:
  Energy consumption auditing based on a generative adversarial network for anomaly detection of robotic manipulators. Future Gener. Comput. Syst. 149: 376-389 (2023)
• 
  Zhengjing Ma, Gang Mei, Francesco Piccialli:
  An Attention-Based Cycle-Consistent Generative Adversarial Network for IoT Data Generation and Its Application in Smart Energy Systems. IEEE Trans. Ind. Informatics 19(4): 6170-6181 (2023)
• 2021
• 
  Shady M. Sadek, Walid A. Omran, Mohamed A. Moustafa Hassan, Hossam E. A. Talaat:
  Data Driven Stochastic Energy Management for Isolated Microgrids Based on Generative Adversarial Networks Considering Reactive Power Capabilities of Distributed Energy Resources and Reactive Power Costs. IEEE Access 9: 5397-5411 (2021)
• 2017
• 
  Zihang Dai, Amjad Almahairi, Philip Bachman, Eduard H. Hovy, Aaron C. Courville:
  Calibrating Energy-based Generative Adversarial Networks. ICLR (Poster) 2017
• 
  Junbo Jake Zhao, Michaël Mathieu, Yann LeCun:
  Energy-based Generative Adversarial Networks. ICLR (Poster) 2017
• 
  Zihang Dai, Amjad Almahairi, Philip Bachman, Eduard H. Hovy, Aaron C. Courville:
  Calibrating Energy-based Generative Adversarial Networks. CoRR abs/1702.01691 (2017)
• 2016
• 
  Chelsea Finn, Paul F. Christiano, Pieter Abbeel, Sergey Levine:
  A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models. CoRR abs/1611.03852 (2016)
• 
  Shuangfei Zhai, Yu Cheng, Rogério Schmidt Feris, Zhongfei Zhang:
  Generative Adversarial Networks as Variational Training of Energy Based Models. CoRR abs/1611.01799 (2016)
• 
  Junbo Jake Zhao, Michaël Mathieu, Yann LeCun:
  Energy-based Generative Adversarial Network. CoRR abs/1609.03126 (2016)