A many‐objective optimization‐based local tensor factorization model for skin cancer detection
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A many‐objective optimization‐based local tensor factorization model for skin cancer detection
Authors
Keywords
-
Journal
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2023-10-28
DOI
10.1002/cpe.7947
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Non-coding RNAs in human health and disease: potential function as biomarkers and therapeutic targets
- (2023) Tamizhini Loganathan et al. FUNCTIONAL & INTEGRATIVE GENOMICS
- Vector-Indistinguishability: Location Dependency Based Privacy Protection for Successive Location Data
- (2023) Ying Zhao et al. IEEE TRANSACTIONS ON COMPUTERS
- Diagnostic and treatment concordance in primary care participants and dermatologists utilizing Extension for Community Health Outcomes (ECHO)
- (2023) Mirna Becevic et al. JOURNAL OF TELEMEDICINE AND TELECARE
- A Survey on Differential Privacy for Unstructured Data Content
- (2022) Ying Zhao et al. ACM COMPUTING SURVEYS
- Biomedical data, computational methods and tools for evaluating disease–disease associations
- (2022) Ju Xiang et al. BRIEFINGS IN BIOINFORMATICS
- A Numerical Splitting and Adaptive Privacy Budget Allocation Based LDP Mechanism for Privacy Preservation in Blockchain-Powered IoT
- (2022) Kai Zhang et al. IEEE Internet of Things Journal
- Small RNA sequencing and identification of papaya (Carica papaya L.) miRNAs with potential cross-kingdom human gene targets
- (2022) Neha Jha et al. MOLECULAR GENETICS AND GENOMICS
- Predicting multiple types of MicroRNA-disease associations based on tensor factorization and label propagation
- (2022) Na Yu et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A Systematic Review on Biomarker Identification for Cancer Diagnosis and Prognosis in Multi-omics: From Computational Needs to Machine Learning and Deep Learning
- (2022) Arwinder Dhillon et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Predicting multiple types of miRNA–disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization
- (2022) Dong Ouyang et al. BRIEFINGS IN BIOINFORMATICS
- Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion
- (2022) Li Huang et al. BRIEFINGS IN BIOINFORMATICS
- Communication-efficient federated recommendation model based on many-objective evolutionary algorithm
- (2022) Zhihua Cui et al. EXPERT SYSTEMS WITH APPLICATIONS
- hsa_circ_0062019 promotes the proliferation, migration, and invasion of prostate cancer cells via the miR-195-5p/HMGA2 axis
- (2021) Peiyu Wang et al. ACTA BIOCHIMICA ET BIOPHYSICA SINICA
- Malicious Code Detection under 5G HetNets Based on a Multi-Objective RBM Model
- (2021) Zhihua Cui et al. IEEE NETWORK
- Predicting Protein–Protein Interactions Using Symmetric Logistic Matrix Factorization
- (2021) Fen Pei et al. Journal of Chemical Information and Modeling
- A novel miRNA-disease association prediction model using dual random walk with restart and space projection federated method
- (2021) Ang Li et al. PLoS One
- A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System
- (2021) Zhihua Cui et al. IEEE Internet of Things Journal
- Plant RNA-mediated gene regulatory network
- (2021) Behzad Hajieghrari et al. GENOMICS
- Network analysis reveals rare disease signatures across multiple levels of biological organization
- (2021) Pisanu Buphamalai et al. Nature Communications
- Predicting miRNA–disease associations using improved random walk with restart and integrating multiple similarities
- (2021) Van Tinh Nguyen et al. Scientific Reports
- Identification of Let-7 miRNA Activity as a Prognostic Biomarker of SHH Medulloblastoma
- (2021) Maximillian S. Westphal et al. Cancers
- Data Integration Using Tensor Decomposition for the Prediction of miRNA-Disease Associations
- (2021) JiaWei Luo et al. IEEE Journal of Biomedical and Health Informatics
- A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder
- (2021) Cunmei Ji et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations
- (2020) Feng Huang et al. BRIEFINGS IN BIOINFORMATICS
- Fusing multiple biological networks to effectively predict miRNA-disease associations
- (2020) Qingqi Zhu et al. Current Bioinformatics
- Optimization landscape of Tucker decomposition
- (2020) Abraham Frandsen et al. MATHEMATICAL PROGRAMMING
- A many-objective optimization recommendation algorithm based on knowledge mining
- (2020) Xingjuan Cai et al. INFORMATION SCIENCES
- MRWMDA: A novel framework to infer miRNA-disease associations
- (2020) Meixi Wang et al. BIOSYSTEMS
- A Multicloud-Model-Based Many-Objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things
- (2020) Xingjuan Cai et al. IEEE Internet of Things Journal
- Image encryption based on a single-round dictionary and chaotic sequences in cloud computing
- (2019) Yinghua Li et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- An under‐sampled software defect prediction method based on hybrid multi‐objective cuckoo search
- (2019) Xingjuan Cai et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Profiling and bioinformatic analysis reveal differential microRNA expression in the left and right kidneys in normal mice
- (2019) Yuanxu Gao et al. FEBS LETTERS
- EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction
- (2018) Xing Chen et al. Cell Death & Disease
- A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization
- (2017) Shouyong Jiang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction
- (2017) Xing Chen et al. PLoS Computational Biology
- A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
- (2016) Ran Cheng et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization
- (2015) Xingyi Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- RBMMMDA: predicting multiple types of disease-microRNA associations
- (2015) Xing Chen et al. Scientific Reports
- A Grid-Based Evolutionary Algorithm for Many-Objective Optimization
- (2013) Shengxiang Yang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
- (2013) Kalyanmoy Deb et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Tensor factorization using auxiliary information
- (2012) Atsuhiro Narita et al. DATA MINING AND KNOWLEDGE DISCOVERY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started