Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Projects: pypi: ESN
https://packages.ecosyste.ms/registries/pypi.org/packages/ESN
Multiple Layer ESN
1 version
Latest release: almost 6 years ago
24 downloads last month
Papers Mentioning ESN 13
10.3762/bjoc.16.199
Computational tools for drawing, building and displaying carbohydrates: a visual guideCited by: 12
Author(s): Kanhaya Lal, Rafael Bermeo, Serge Pérez
Software Mentions: 4
Published: about 4 years ago
10.3389/fneur.2021.597717
Using ESN-Smartphone Application to Maximize AIS Reperfusion Therapy in Alexandria Stroke Network: A Stroke Chain of Survival Organizational ModelCited by: 5
Author(s): Ossama Yassin Mansour, Ismail Ramadan, Amer Elfatatry, Mohamed Hamdi, Ashraf Abudu, Tamer Hassan, Hany Eldeeb, Hazem Marouf, Mohamed Mogahed, Mohamed Farouk, Mohamed Abas, Mervat Hamed, Mohamed Farouk Afify, T. Abdallah, Osama Zaidat
Software Mentions: 2
Published: over 3 years ago
10.1098/rsta.2020.0246
Domain-driven models yield better predictions at lower cost than reservoir computers in Lorenz systemsCited by: 8
Author(s): Ryan Pyle, Nikola Jovanovic, Devika Subramanian, Krishna V. Palem, Ankit Patel
Software Mentions: 2
Published: almost 4 years ago
10.1371/journal.pone.0050702
Emergence of Scale-Free Close-Knit Friendship Structure in Online Social NetworksCited by: 14
Author(s): Ai-Xiang Cui, Zi-Ke Zhang, Ming Tang, P. M. Hui, Yan Fu
Software Mentions: 2
Published: almost 12 years ago
10.1038/s41598-017-02471-z
Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed InputsCited by: 16
Author(s): Timo Nachstedt, Christian Tetzlaff
Software Mentions: 1
Published: over 7 years ago
10.1038/s41598-019-49242-6
Application of the deep learning for the prediction of rainfall in Southern TaiwanCited by: 62
Author(s): Meng Hua Yen, Ding Wei Liu, Yi-Chia Hsin, Chu En Lin, Chii Chang Chen
Software Mentions: 1
Published: about 5 years ago
10.3390/s18010009
Assessing the Health of LiFePO4 Traction Batteries through Monotonic Echo State NetworksCited by: 8
Author(s): Luciano Sánchez, David Anseán, José Otero, Inés Couso
Software Mentions: 1
Published: almost 7 years ago
10.3390/s18061905
A Globally Generalized Emotion Recognition System Involving Different Physiological SignalsCited by: 28
Author(s): Mouhannad Ali, Fadi Al Machot, Ahmad Haj Mosa, Midhat Jdeed, Elyan Al Machot, Kyandoghere Kyamakya
Software Mentions: 1
Published: over 6 years ago
10.1186/1472-6947-10-4
A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networksCited by: 25
Author(s): T Verplancke, Stijn Van Looy, Kristof Steurbaut, Dominique Benoît, Filip De Turck, Georges De Moor, Johan Decruyenaere
Software Mentions: 1
Published: almost 15 years ago
10.1186/s40064-016-2933-7
Prognostic for hydraulic pump based upon DCT-composite spectrum and the modified echo state networkCited by: 12
Author(s): Jizhou Sun, Hongru Li, Bin Xu
Software Mentions: 1
Published: over 8 years ago
10.1371/journal.pone.0181816
The combination of circle topology and leaky integrator neurons remarkably improves the performance of echo state network on time series predictionCited by: 12
Author(s): Fangzheng Xue, Qian Li, Xiumin Li
Software Mentions: 1
Published: over 7 years ago
10.3389/fnins.2015.00502
Design and Analysis of a Neuromemristive Reservoir Computing Architecture for Biosignal ProcessingCited by: 59
Author(s): Dhireesha Kudithipudi, Qutaiba Saleh, Cory Merkel, James Thesing, Bryant Wysocki
Software Mentions: 1
Published: almost 9 years ago
10.1038/srep14945
A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed NeuronCited by: 119
Author(s): Silvia Ortín, Miguel C. Soriano, L. Pesquera, Daniel Brunner, Daniel San-Martín, Ingo Fischer, Claudio R. Mirasso, José Manuel Gutiérrez
Software Mentions: 1
Published: about 9 years ago