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Found 5 papers, 3 papers with code
Empirical study of the modulus as activation function in computer vision applications
In this work we propose a new non-monotonic activation function: the modulus.
Integration of Behavioral Economic Models to Optimize ML performance and interpretability: a sandbox example
This paper presents a sandbox example of how the integration of models borrowed from Behavioral Economic (specifically Protection-Motivation Theory) into ML algorithms (specifically Bayesian Networks) can improve the performance and interpretability of ML algorithms when applied to Behavioral Data.
Approaching sales forecasting using recurrent neural networks and transformers
Accurate and fast demand forecast is one of the hot topics in supply chain for enabling the precise execution of the corresponding downstream processes (inbound and outbound planning, inventory placement, network planning, etc).
End-to-end Keyword Spotting using Xception-1d
The field of conversational agents is growing fast and there is an increasing need for algorithms that enhance natural interaction.
Optimization of anemia treatment in hemodialysis patients via reinforcement learning
Results: The experiments reported here are based on a computational model that describes the effect of ESAs on the hemoglobin level.
