Neural-fuzzy with representative sets for prediction of student performance
In this paper, a new method for handling the Multi-Input Multi-Output Student Academic
Performance Prediction (MIMO SAPP) problem is proposed. The MIMO SAPP aims to predict …
Performance Prediction (MIMO SAPP) problem is proposed. The MIMO SAPP aims to predict …
Machine learning prediction and tau-based screening identifies potential Alzheimer's disease genes relevant to immunity
With increased research funding for Alzheimer's disease (AD) and related disorders across
the globe, large amounts of data are being generated. Several studies employed machine …
the globe, large amounts of data are being generated. Several studies employed machine …
A relation-aware heterogeneous graph convolutional network for relationship prediction
Most real-world networks are heterogeneous and consist of different types of nodes and
edges. Relationships (edges) between nodes of different types carry different semantics …
edges. Relationships (edges) between nodes of different types carry different semantics …
The prediction of potential risk path in railway traffic events
S Gu, K Li, T Feng, D Yan, Y Liu - Reliability Engineering & System Safety, 2022 - Elsevier
In railway traffic operation, the prediction of risk path is one of the important issues because
it can ensure the potential consequences are effectively mitigated and controlled to prevent …
it can ensure the potential consequences are effectively mitigated and controlled to prevent …
Statistical similarity measures for link prediction in heterogeneous complex networks
H Shakibian, NM Charkari - Physica A: Statistical Mechanics and its …, 2018 - Elsevier
The majority of the link prediction measures in heterogeneous complex networks rely on the
nodes connectivities while less attention has been paid to the importance of the nodes and …
nodes connectivities while less attention has been paid to the importance of the nodes and …
A chaotic ant colony optimized link prediction algorithm
The mining missing links and predicting upcoming links are two important topics in the link
prediction. In the past decades, a variety of algorithms have been developed, the majority of …
prediction. In the past decades, a variety of algorithms have been developed, the majority of …
Weighted meta paths and networking embedding for patent technology trade recommendations among subjects
X He, Y Dong, Z Zhen, Y Wu, G Jiang, X Meng… - Knowledge-Based …, 2019 - Elsevier
Most patent technology recommendations are based on link prediction of a homogeneous
trade network and multiple-attribute matching. We constructed a heterogeneous information …
trade network and multiple-attribute matching. We constructed a heterogeneous information …
Multi-kernel one class link prediction in heterogeneous complex networks
H Shakibian, NM Charkari, S Jalili - Applied Intelligence, 2018 - Springer
The heterogeneity of a network causes major challenges for link prediction in
heterogeneous complex networks. To deal with this problem, supervised link prediction …
heterogeneous complex networks. To deal with this problem, supervised link prediction …
A neural network framework for predicting dynamic variations in heterogeneous social networks
M Balakrishnan, G TV - Plos one, 2020 - journals.plos.org
Forecasting possible future relationships between people in a network requires a study of
the evolution of their links. To capture network dynamics and temporal variations in link …
the evolution of their links. To capture network dynamics and temporal variations in link …
Autophagy dark genes: Can we find them with machine learning?
Identifying novel autophagy (ATG) associated genes in humans remains an important task
for understanding this fundamental physiological process. Machine learning (ML) can …
for understanding this fundamental physiological process. Machine learning (ML) can …