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10/21/2022
Modelling Multi-relations for Convolutional-based Knowledge Graph Embedding
Representation learning of knowledge graphs aims to embed entities and r...
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08/08/2022
Relevance Judgment Convergence Degree – A Measure of Inconsistency among Assessors for Information Retrieval
Relevance judgment of human assessors is inherently subjective and dynam...
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09/18/2019
Predicting Electricity Consumption using Deep Recurrent Neural Networks
Electricity consumption has increased exponentially during the past few ...
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04/18/2019
Language Modeling through Long Term Memory Network
Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTM),...
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02/28/2019
Improving fraud prediction with incremental data balancing technique for massive data streams
The performance of classification algorithms with a massive and highly i...
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01/22/2019