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Found 11 papers, 4 papers with code
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting
In this paper, we present SSDNet, a novel deep learning approach for time series forecasting.
Temporal Convolutional Attention Neural Networks for Time Series Forecasting
TCAN requires less number of convolutional layers than TCNN for an extended receptive field, is faster to train and is able to visualize the most important timesteps for the prediction.
Multivariate Time Series Forecasting
Probabilistic Time Series Forecasting
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ast2vec: Utilizing Recursive Neural Encodings of Python Programs
Educational datamining involves the application of datamining techniques to student activity.
Recursive Tree Grammar Autoencoders
Machine learning on trees has been mostly focused on trees as input to algorithms.
DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data
Techniques for clustering student behaviour offer many opportunities to improve educational outcomes by providing insight into student learning.
Tree Echo State Autoencoders with Grammars
Tree data occurs in many forms, such as computer programs, chemical molecules, or natural language.
A Survey of Automated Programming Hint Generation -- The HINTS Framework
Using this insight, it presents a simple framework for describing such techniques, the Hint Iteration by Narrow-down and Transformation Steps (HINTS) framework, and it surveys recent work in the context of this framework.
