LSTM: A Search Space Odyssey is a research paper published in IEEE Transactions on Neural Networks and Learning Systems (2017). On theSindex it has a DataRank of 1.3. It has been cited 6,718 times.
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Base Score Contribution
1.3
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Swiss National Science Foundation through the Project Theory and Practice of Reinforcement Learning 2, and through the Project Advanced Reinforcement Learning
Grant: 138219
Theory and Practice of Reinforcement Learning 2
Swiss National Science Foundation through the Project Theory and Practice of Reinforcement Learning 2, and through the Project Advanced Reinforcement Learning
Grant: 156682
Advanced Reinforcement Learning
European Institute of Innovation and Technology through the Project Neural Dynamics, through the Project NASCENCE and through the Project WAY
Grant: FP7-ICT-270247
European Institute of Innovation and Technology through the Project Neural Dynamics, through the Project NASCENCE and through the Project WAY
Grant: FP7-ICT-317662
European Institute of Innovation and Technology through the Project Neural Dynamics, through the Project NASCENCE and through the Project WAY
Grant: FP7-ICT-288551
European Commission
Grant: 288551
Wearable interfaces for hAnd function recoverY
European Commission
Grant: 270247
A neuro-dynamic framework for cognitive robotics: scene representations, behavioural sequences, and learning.
European Commission
Grant: 317662
NAnoSCale Engineering for Novel Computation using Evolution (NASCENCE)
FWCI
382.75
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
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LSTM: A Search Space Odyssey