Evolutionary extreme learning machine with sparse cost matrix for imbalanced learning
H Li, X Yang, Y Li, LY Hao, TL Zhang - ISA transactions, 2020 - Elsevier
Extreme learning machine is a popular machine learning technique for single hidden layer
feed-forward neural network. However, due to the assumption of equal misclassification …
feed-forward neural network. However, due to the assumption of equal misclassification …
Completing sparse and disconnected protein-protein network by deep learning
Background Protein-protein interaction (PPI) prediction remains a central task in systems
biology to achieve a better and holistic understanding of cellular and intracellular processes …
biology to achieve a better and holistic understanding of cellular and intracellular processes …
Cooperative localization and association of commercial-off-the-shelf sensors in three-dimensional aircraft cabin
Sensory data is only meaningful if correctly associated with originating locations, eg, in three-
dimensional wireless sensor systems inside an aircraft cabin. Received signal strength is a …
dimensional wireless sensor systems inside an aircraft cabin. Received signal strength is a …
Inference of protein-protein interaction networks from multiple heterogeneous data
Protein-protein interaction (PPI) prediction is a central task in achieving a better
understanding of cellular and intracellular processes. Because high-throughput …
understanding of cellular and intracellular processes. Because high-throughput …
Evolutionary analysis and interaction prediction for protein-protein interaction network in geometric space
Prediction of protein-protein interaction (PPI) remains a central task in systems biology. With
more PPIs identified, forming PPI networks, it has become feasible and also imperative to …
more PPIs identified, forming PPI networks, it has become feasible and also imperative to …
Adaptive weighted dynamic differential evolution algorithm for emergency material allocation and scheduling
T Wang, K Wu, T Du, X Cheng - Computational Intelligence, 2022 - Wiley Online Library
Emergency material allocation and scheduling is a combination optimization problem, which
is essentially a Non‐deterministic Polynomial (NP) problem. Aiming at the problems such as …
is essentially a Non‐deterministic Polynomial (NP) problem. Aiming at the problems such as …
Modelling speciation: problems and implications
JBL Bard - In Silico Biology, 2023 - content.iospress.com
Darwin's and Wallace's 1859 explanation that novel speciation resulted from natural variants
that had been subjected to selection was refined over the next 150 years as genetic …
that had been subjected to selection was refined over the next 150 years as genetic …
Subnormal distribution derived from evolving networks with variable elements
During the past decades, power-law distributions have played a significant role in analyzing
the topology of scale-free networks. However, in the observation of degree distributions in …
the topology of scale-free networks. However, in the observation of degree distributions in …
[图书][B] Proceedings of 2021 Chinese Intelligent Systems Conference
Y Jia, W Zhang, Y Fu, Z Yu, S Zheng - 2022 - Springer
Proceedings of 2021 Chinese Intelligent Systems Conference Lecture Notes in Electrical
Engineering 1090 Yingmin Jia Weicun Zhang Yongling Fu Jiqiang Wang Editors …
Engineering 1090 Yingmin Jia Weicun Zhang Yongling Fu Jiqiang Wang Editors …