Multi-view learning overview: Recent progress and new challenges

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Multi-View Part-Based Few-Shot Object Detection

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Weighted Sparse Partial Least Squares With Joint Sample and Feature Selection for Integrating Multi-Omics Data

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Graph-based edge betweenness centrality in multi-view ensemble frameworks

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Multi‐View Bayesian Optimisation in an Input‐Output Reduced Space for Engineering Design

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Multi-perspective machine learning MPML: A high-performance and interpretable ensemble method for heart disease prediction

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Enhanced and Scalable Latent Multi-View Subspace Clustering

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Position-aware and degree-adaptive graph neural networks for multi-view representation learning

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A Unified Framework With Capped Tensor Norm Minimization for Multiview Subspace Learning

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Multi-View Causal Feature Selection

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Incomplete Multi-view Learning via Consensus Graph Completion

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Dictionary-Based Multi-View Learning With Privileged Information

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Performing Melanoma Diagnosis by an Effective Multi-view Convolutional Network Architecture

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Electroencephalography (EEG) based epilepsy diagnosis via multiple feature space fusion using shared hidden space-driven multi-view learning

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Self-organizing maps with adaptive distances for multiple dissimilarity matrices

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Self-improved multi-view interactive knowledge transfer

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A Tensor Space for Multi-View and Multitask Learning Based on Einstein and Hadamard Products: A Case Study on Vehicle Traffic Surveillance Systems

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Improving multi-view ensemble learning with Round-Robin feature set partitioning

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Non-asymptotic performance of social machine learning under limited data

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MV-AINet: Multiview-Attention Integration Network for Age Recognition of the Pericarpium Citri Reticulatae

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Multi-view Fractional Deep Canonical Correlation Analysis for Subspace Clustering

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An Approach to Extract Nonlinear Muscle Synergies from sEMG through Multi-Model Learning

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Fine-grained Fitting Experience Prediction

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Multi-view Deep Learning for Weather Recognition

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Multi-view Clustering and Multi-view Models

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Accurate Multi-view Clustering by Exploiting Within-view High-order Affinities through Tensor Self-representation

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Models and Algorithms for Multimodal Data Processing

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Multi-view contextual performance profiling in rotating machinery

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Lightweight Identification of Malicious IoT Traffic via Cross-View Knowledge Distillation

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Multi-view least squares support vector classifiers with the principles of complementarity and consensus

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MNIST Dataset Classification via Multiview Topological Data Analysis

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$$MV^{2}AE$$: multi-view learning with feature extraction using autoencoders to identify IoT network attacks

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TriSeRec: A Tri-view Representation Learning Framework for Sequential/Session-based Recommendation

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Deep Learning-Driven Multi-Objective Clustering for Neuroblastoma Omics Data with NSGA-II

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Enhancing Interpretability of Graph Convolutional Networks for Multi-view Learning

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Nonnegative spectral embedding learning with adaptive neighbors for multi-view clustering

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Revisiting multi-view semi-supervised classification: a reinforcement learning perspective

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An explainable multi-view representation fusion learning framework with hybrid MetaFormer for EEG-based epileptic seizure detection

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Multi-View Clustering via Cross-View Alignment and Anchor-Guided Representation

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Quantum multiview kernel learning with local information

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Enhanced anchor multi-view clustering via projection learning and high-order correlation exploitation

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Variational inference framework for partial multi-view multi-label representation learning

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DSA-Net: A Universal Multivariable Bearing Fault Diagnosis Model With Dynamic Frequency-Band Extraction and Attention-Driven Feature Fusion

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Trusted Multi-View Learning Under Noisy Supervision

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A multi-view TSK fuzzy system with deformable Gaussian membership functions and rule-level attention for classification

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Physics-guided safe collaboration: an uncertainty-gated heterogeneous semi-supervised regression framework for tool wear prediction

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Prior-Informed Symbolic Regression for Multiview Scientific Discovery

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Discriminative multiview nonnegative matrix factorization with large margin for image classification

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Research on Severe Weather Prediction Model Based on Multi-view Learning

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PolSAR Scene Classification via Low-Rank Constrained Multimodal Tensor Representation

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Multiview Latent Representation Learning with Feature Diversity for Clustering

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Deep cross-view autoencoder network for multi-view learning

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Multi-view latent structure learning with rank recovery

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Multi-view Classification via Twin Projection Vector Machine with Application to EEG-Based Driving Fatigue Detection

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Diverse and consistent multi-view networks for semi-supervised regression

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A deep multi-view imbalanced learning approach for identifying informative COVID-19 tweets from social media

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Multi-view clustering with Laplacian rank constraint based on symmetric and nonnegative low-rank representation

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