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Found 6 papers, 1 papers with code
Modelling Multi-relations for Convolutional-based Knowledge Graph Embedding
It is considered that such approaches disconnect the semantic connection of multi-relations between an entity pair, and we propose a convolutional and multi-relational representation learning model, ConvMR.
Relevance Judgment Convergence Degree -- A Measure of Inconsistency among Assessors for Information Retrieval
Relevance judgment of human assessors is inherently subjective and dynamic when evaluation datasets are created for Information Retrieval (IR) systems.
RCNN for Region of Interest Detection in Whole Slide Images
We used 60 WSIs for training the RCNN model and another 12 WSIs for testing.
Predicting Electricity Consumption using Deep Recurrent Neural Networks
To assess the applicability of the RNN and the LSTM network to predict electricity consumption, they were tested to predict for an individual house and a block of houses for a given time period.
Language Modeling through Long Term Memory Network
Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTM), and Memory Networks which contain memory are popularly used to learn patterns in sequential data.
Enhancing Semantic Word Representations by Embedding Deeper Word Relationships
Furthermore, the use of 3D visual representations has shown to be capable of representing the similarity and association between words.
