Ensemble feature selection for multi‐label text classification: An intelligent order statistics approach
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Ensemble feature selection for multi‐label text classification: An intelligent order statistics approach
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2022-09-02
DOI
10.1002/int.23044
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Wrapper feature selection with partially labeled data
- (2022) Vasilii Feofanov et al. APPLIED INTELLIGENCE
- Structural Damage Recognition Based on Filtered Feature Selection and Convolutional Neural Network
- (2022) Zihan Jin et al. International Journal of Structural Stability and Dynamics
- Joint computation offloading and task caching for multi-user and multi-task MEC systems: reinforcement learning-based algorithms
- (2021) Ibrahim A. Elgendy et al. WIRELESS NETWORKS
- An energy aware grouping memetic algorithm to schedule the sensing activity in WSNs-based IoT for smart cities
- (2021) Mohammad Bagher Dowlatshahi et al. APPLIED SOFT COMPUTING
- A compound of feature selection techniques to improve solar radiation forecasting
- (2021) Marco Castangia et al. EXPERT SYSTEMS WITH APPLICATIONS
- An efficient Pareto-based feature selection algorithm for multi-label classification
- (2021) Amin Hashemi et al. INFORMATION SCIENCES
- Integration of extreme gradient boosting feature selection approach with machine learning models: application of weather relative humidity prediction
- (2021) Hai Tao et al. NEURAL COMPUTING & APPLICATIONS
- Ensemble of feature selection algorithms: a multi-criteria decision-making approach
- (2021) Amin Hashemi et al. International Journal of Machine Learning and Cybernetics
- Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection
- (2021) Mohsen Paniri et al. Swarm and Evolutionary Computation
- A pareto-based ensemble of feature selection algorithms
- (2021) Amin Hashemi et al. EXPERT SYSTEMS WITH APPLICATIONS
- VMFS: A VIKOR-based multi-target feature selection
- (2021) Amin Hashemi et al. EXPERT SYSTEMS WITH APPLICATIONS
- An ensemble feature selection algorithm based on PageRank centrality and fuzzy logic
- (2021) Mehdi Joodaki et al. KNOWLEDGE-BASED SYSTEMS
- A multi-label text classification method via dynamic semantic representation model and deep neural network
- (2020) Tianshi Wang et al. APPLIED INTELLIGENCE
- Feature selection and classification methods for vehicle tracking and detection
- (2020) C. Ranjeeth Kumar et al. Journal of Ambient Intelligence and Humanized Computing
- Context-Aware Personalized Web Search Using Navigation History
- (2020) Wiem Chebil et al. International Journal on Semantic Web and Information Systems
- Customer behavior analysis using Naive Bayes with bagging homogeneous feature selection approach
- (2020) R. Siva Subramanian et al. Journal of Ambient Intelligence and Humanized Computing
- Feature selection for multi-label classification by maximizing full-dimensional conditional mutual information
- (2020) Zhi-Chao Sha et al. APPLIED INTELLIGENCE
- A bipartite matching-based feature selection for multi-label learning
- (2020) Amin Hashemi et al. International Journal of Machine Learning and Cybernetics
- Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data
- (2020) Malik Yousef et al. Entropy
- Survey on supervised machine learning techniques for automatic text classification
- (2019) Ammar Ismael Kadhim ARTIFICIAL INTELLIGENCE REVIEW
- Memetic feature selection for multilabel text categorization using label frequency difference
- (2019) Jaesung Lee et al. INFORMATION SCIENCES
- IoT transaction processing through cooperative concurrency control on fog–cloud computing environment
- (2019) Ahmad Al-Qerem et al. SOFT COMPUTING
- A novel hybrid wrapper–filter approach based on genetic algorithm, particle swarm optimization for feature subset selection
- (2019) Fateme Moslehi et al. Journal of Ambient Intelligence and Humanized Computing
- Distinguishing two types of labels for multi-label feature selection
- (2019) Ping Zhang et al. PATTERN RECOGNITION
- Manifold regularized discriminative feature selection for multi-label learning
- (2019) Jia Zhang et al. PATTERN RECOGNITION
- Secure Deduplication System with Active Key Update and Its Application in IoT
- (2019) Jin Li et al. ACM Transactions on Intelligent Systems and Technology
- MLACO: A multi-label feature selection algorithm based on ant colony optimization
- (2019) Mohsen Paniri et al. KNOWLEDGE-BASED SYSTEMS
- ThinORAM: Towards Practical Oblivious Data Access in Fog Computing Environment
- (2019) Yanyu Huang et al. IEEE Transactions on Services Computing
- A recent overview of the state-of-the-art elements of text classification
- (2018) Marcin Michał Mirończuk et al. EXPERT SYSTEMS WITH APPLICATIONS
- Feature selection in machine learning: A new perspective
- (2018) Jie Cai et al. NEUROCOMPUTING
- Multilabel feature selection: A comprehensive review and guiding experiments
- (2018) Shima Kashef et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Grading glioma by radiomics with feature selection based on mutual information
- (2018) Yaping Wu et al. Journal of Ambient Intelligence and Humanized Computing
- Compressive Sensing of Medical Images with Confidentially Homomorphic Aggregations
- (2018) Licheng Wang et al. IEEE Internet of Things Journal
- Manifold-based constraint Laplacian score for multi-label feature selection
- (2018) Rui Huang et al. PATTERN RECOGNITION LETTERS
- Ensemble feature selection using election methods and ranker clustering
- (2018) Peter Drotár et al. INFORMATION SCIENCES
- Ensembles for feature selection: A review and future trends
- (2018) Verónica Bolón-Canedo et al. Information Fusion
- Centralized vs. distributed feature selection methods based on data complexity measures
- (2017) L. Morán-Fernández et al. KNOWLEDGE-BASED SYSTEMS
- Testing Different Ensemble Configurations for Feature Selection
- (2017) Borja Seijo-Pardo et al. NEURAL PROCESSING LETTERS
- Novel algorithms and equivalence optimisation for resource allocation in cloud computing
- (2015) Weiwei Lin et al. International Journal of Web and Grid Services
- GGSA: A Grouping Gravitational Search Algorithm for data clustering
- (2014) Mohammad Bagher Dowlatshahi et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A discrete gravitational search algorithm for solving combinatorial optimization problems
- (2013) Mohammad Bagher Dowlatshahi et al. INFORMATION SCIENCES
- Parallel classification and feature selection in microarray data using SPRINT
- (2012) Lawrence Mitchell et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now