Generating ensembles of heterogeneous classifiers using stacked generalization
MP Sesmero, AI Ledezma… - … reviews: data mining and …, 2015 - Wiley Online Library
Over the last two decades, the machine learning and related communities have conducted
numerous studies to improve the performance of a single classifier by combining several …
numerous studies to improve the performance of a single classifier by combining several …
Neurotis: Enhancing the prediction of translation initiation sites in mrna sequences via a hybrid dependency network and deep learning framework
C Wei, J Zhang, X Yuan, Z He, G Liu, J Wu - Knowledge-Based Systems, 2021 - Elsevier
Translation initiation site prediction is crucial to understand the mechanisms of gene
expression and regulation. Many computational approaches have been proposed and …
expression and regulation. Many computational approaches have been proposed and …
Bankruptcy prediction and credit scoring: A review of recent developments based on hybrid systems and some related patents
J de Andrés, P Lorca… - Recent Patents on …, 2012 - ingentaconnect.com
This paper reviews some recent developments from the field of Artificial Intelligence aimed
at the determination of credit scores of firms and individuals. Specifically, the academic …
at the determination of credit scores of firms and individuals. Specifically, the academic …
DeepTIS: improved translation initiation site prediction in genomic sequence via a two-stage deep learning model
C Wei, J Zhang, Y Xiguo - Digital Signal Processing, 2021 - Elsevier
Translation initiation site (TIS) prediction is one of the most crucial subtasks for gene
annotation. Many computational methods have been proposed and achieved acceptable …
annotation. Many computational methods have been proposed and achieved acceptable …
Development and validation of various phenotyping algorithms for Diabetes Mellitus using data from electronic health records
S Esteban, MR Tablado, FE Peper… - Computer methods and …, 2017 - Elsevier
Abstract Background and Objective Recent progression towards precision medicine has
encouraged the use of electronic health records (EHRs) as a source for large amounts of …
encouraged the use of electronic health records (EHRs) as a source for large amounts of …
Ensemble learning can significantly improve human microRNA target prediction
MicroRNAs (miRNAs) regulate the function of their target genes by down-regulating gene
expression, participating in various biological processes. Since the discovery of the first …
expression, participating in various biological processes. Since the discovery of the first …
Enhancing the prediction of protein coding regions in biological sequence via a deep learning framework with hybrid encoding
C Wei, J Zhang, X Yuan - Digital Signal Processing, 2022 - Elsevier
Protein coding regions prediction is a very important but overlooked subtask for tasks such
as prediction of complete gene structure, coding/noncoding RNA. Many machine learning …
as prediction of complete gene structure, coding/noncoding RNA. Many machine learning …
Tissue-specific alternative splicing analysis reveals the diversity of chromosome 18 transcriptome
AV Shargunov, GS Krasnov… - Journal of proteome …, 2014 - ACS Publications
The Chromosome-centric Human Proteome Project (C-HPP) is aimed to identify the variety
of protein products and transcripts of the number of chromosomes. The Russian part of C …
of protein products and transcripts of the number of chromosomes. The Russian part of C …
A deep learning framework with hybrid encoding for protein coding regions prediction in biological sequences
C Wei, J Zhang, X Yuan, Z He, G Liu - bioRxiv, 2020 - biorxiv.org
Motivation Protein coding regions prediction is a very important but overlooked subtask for
tasks such as prediction of complete gene structure, coding/noncoding RNA. Many machine …
tasks such as prediction of complete gene structure, coding/noncoding RNA. Many machine …
一种用户成长性画像的建模方法
董哲瑾， 王健， 钱凌飞， 林鸿飞 - 《 山东大学学报(理学版) …, 2019 - lxbwk.njournal.sdu.edu.cn
用户成长值反映用户粘性ꎬ 预测用户成长值有助于实现精准营销ꎮ 聚焦用户成长性画像研究ꎬ
针对用户原始数据记录复杂多样, 难以提取有效特征的问题ꎬ 通过散点图分析挖掘影响用户成长 …
针对用户原始数据记录复杂多样, 难以提取有效特征的问题ꎬ 通过散点图分析挖掘影响用户成长 …