Pattern to Knowledge: Deep Knowledge-Directed Machine Learning for Residue-Residue Interaction Prediction
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-32834-z
Abstract: Residue-residue close contact (R2R-C) data procured from three-dimensional protein-protein interaction (PPI) experiments is currently used for predicting residue-residue interaction (R2R-I) in PPI. However, due to complex physiochemical environments, R2R-I incidences, facilitated by multiple factors, are… read more here.
Keywords: residue interaction; knowledge; r2r; deep knowledge ... See more keywords
RCKTE: Toward Global Optimal Causal Explanations for Deep Knowledge Tracing
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Learning Technologies"
DOI: 10.1109/tlt.2025.3616515
Abstract: Deep-learning-based knowledge tracing (DLKT) models have achieved high predictive accuracy, but their opaque “black box” nature limits practical value: educators cannot trace why predictions are made and learners cannot obtain transparent feedback. Existing explainability techniques,… read more here.
Keywords: knowledge; rckte; deep knowledge; reinforcement learning ... See more keywords
DKVMN&MRI: A new deep knowledge tracing model based on DKVMN incorporating multi-relational information
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DOI: 10.1371/journal.pone.0312022
Abstract: Knowledge tracing is a technology that models students’ changing knowledge state over learning time based on their historical answer records, thus predicting their learning ability. It is the core module that supports the intelligent education… read more here.
Keywords: knowledge; model; deep knowledge; dkvmn mri ... See more keywords
A Systematic Review of Deep Knowledge Graph-Based Recommender Systems, with Focus on Explainable Embeddings
Sign Up to like & getrecommendations! Published in 2022 at "Data"
DOI: 10.3390/data7070094
Abstract: Recommender systems (RS) have been developed to make personalized suggestions and enrich users’ preferences in various online applications to address the information explosion problems. However, traditional recommender-based systems act as black boxes, not presenting the… read more here.
Keywords: deep knowledge; knowledge graph; recommender systems; knowledge ... See more keywords