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Enhancing Classification with Multimodality: A Hierarchical Approach to Fashion Item Categorization

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DVL-CC: A Novel Dual-View Learning Framework for Compound Cocrystal Prediction Boosted by View Consistency and Complementarity

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A Multi-View Subspace Clustering Algorithm Based on Consensus and Complementary Information LearningPreprint

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Multi-view clustering by exploring consistency and diversity in embedding space

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scEAGC: an efficient anchor graph clustering for single-cell transcriptomics and proteomics data

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Fusing Spatio-Temporal Information Using Supervised Shared Low-Rank Correlation Embedding for Depression RecognitionPreprint

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Using Depth-Enhanced Spatial Transformation for Student Gaze Target Estimation in Dual-View Classroom Images

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Project or Factorize? A Case Study of Multiview CCA and PARAFAC2 Tensor Factorization

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Covid-19 Detection on Chest X-ray Images Using Semi-supervised Deep Learning with MixMatch and CLAHE

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Comprehensive Multi-view Subspace Clustering with Global-and-Local Representation Learning

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An Improved LVSL with View Consensus

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A comprehensive review of multi-view datasets and applications

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Multi-View Utility-Based Clustering: A Mutually Supervised Perspective

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Dual-Level Contrastive Learning Framework

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A multi-view forward positive and unlabeled graph learning method based on dictionary learning

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Special Issue: Machine Learning and Data Analysis II

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Multi-view Unsupervised Feature Selection Guided by Latent Representation and Tensor LearningPreprint

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Latent space alignment guided non-aligned multi-view multi-label learning

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Consistent Subspace-Based Multi-View Multi-Label

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Compound Cocrystal Prediction via Dual-View Learning Framework Under Adversarial Consistency and Complementarity Constraints

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Student gaze target estimation based on depth transformation on dual-view classroom images

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ConsensNet: A Unified Consensus-Centric Framework for Incomplete Multi-View Clustering

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Optimizing view generation in classification datasets

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Unraveling incomplete multiview data: An information-theoretic framework

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Flexible disentangled representation learning with soft-splitting for multi-view data

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Intuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning

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Physics-Informed Generative Self-Attention Framework for Sliding Bearing Fault Diagnosis

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Parameter-Free Dual-Granularity Weighted Multiview Fuzzy $c$-Means Clustering

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Graph-enhanced dual low-rank correlation embedding for spatio-temporal EEG fusion in depression recognition

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MVICAD 2 : Multi-View Independent Component Analysis With Delays and Dilations

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Harnessing structure-aware graph representation and adaptive anchor graph learning for multi-view clustering

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Nonconvex Multi-view Subspace Clustering Based on Tensor Nuclear Norm Minus Tensor Frobenius Norm

Zhang, Y., & Lu, G. (2025) · International Symposium on AI and Cybersecurity (ISAICS) · doi:10.1109/isaics66888.2025.11350178

GenForge: A Multi-population Genetic Programming framework with Semantic-Preserving Feature Partitioning for classification and regression tasks

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Multi-view subspace clustering via low-rank consensus projection matrix

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Structure-missing graph-level clustering network

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Dynamic Quality Assessment-Based Multi-Feature Fusion

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Physics-Guided Safe Collaboration: An Uncertainty-Gated Heterogeneous Semi-Supervised Regression Framework for Tool Wear PredictionPreprint

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Physics-Guided Safe Collaboration: An Uncertainty-Gated Heterogeneous Semi-Supervised Regression Framework for Tool Wear PredictionPreprint

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Product deletion decision based on multitype feature fusion: A deep learning predictive approach with temporal modeling

Liang, D., & Tang, H. (2026) · Annals of Operations Research · doi:10.1007/s10479-026-07076-2

Multi-View Fuzzy Rule-Based Classification With Mini-Batch Learning

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BEEP Learning: Multi-View Image Decomposition for Massively Multiplexed Biological Fluorescence MicroscopyPreprint

Wang, R., Hnin, T., Feng, Y., & Valm, A. M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.19.706833

Multi-Granular Decision Synthesis Based on Linguistic Evaluations

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Learning to Fuse Aspect-Level LLM Annotations for Low-Quality Ordinal Sentiment SupervisionPreprint

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Anchor-based tensor clustering of multi-view data through high order relational fusion

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Shared-Specific-Disentangled Variational Autoencoder for Multi-View Clustering

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Robust multi-view subspace clustering based on low-rank matrix tri-factorization and graph regularization

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Learning to Fuse Aspect-Level LLM Annotations for Low-Quality Ordinal Sentiment SupervisionPreprint

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A Unified View of Local Learning : Theory and Algorithms for Enhancing Linear Models

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Bootstrap methods for multi-task dependency parsing in low-resource conditions

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Combination of supervised and unsupervised classifiers based on belief functions

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Biquality learning : from weakly supervised learning to distribution shifts

Nodet, P. (2023) · theses.fr (ABES) · doi:10.70675/41d22fb9z3d38z4a64z9a3cz4a385058629c

A comprehensive survey of missing data handling methods from a machine learning perspectivePreprint

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From stratification to prediction : multimodal machine learning with latent block models and mixtures of experts

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Modélisation et Intégration des Données Multi-vues : Approches basées sur l'Apprentissage et la Sémantique

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M-GNN: A Topology-Enhanced Multi-Modal Graph Neural Network for Cancer Driver Gene Prediction

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Multi-view real-time detection of patient arrival in trauma resuscitation using computer vision

Yuan, S., Kim, M. S., Mun, A. H., Cunningham, R., Marsic, I., & Burd, R. S. (2026) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2026.104777

Multi-view dynamic manifold reconstruction with adaptive cross-attention fusion enables noise-robust bearing fault diagnosis

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Multi-Population Ensemble Genetic Programming via Cooperative Coevolution and Multi-View Learning for Classification

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Predicting Avatrombopag response in children with immune thrombocytopenia: A multi-view learning framework for tabular missing data

Wang, Y., Tang, Y., Cheng, X., Lin, X., Chen, Z., Wu, R., & Zhang, W. (2026) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2026.109444

A review on the application of multi-source data fusion in fault diagnosis of rotating machinery

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An optimized multi-view deep ensemble for identifying anti-viral and anti-corona peptides

Kumar, A., & Singh, D. (2026) · Applied Soft Computing · doi:10.1016/j.asoc.2026.115523

Robust Multi-View Ensemble Broad Learning for Semi-Supervised Classification

Dong, Z., Lin, M., & Yu, Z. (2026) · Informatics · doi:10.3390/informatics13050075

Collaborative Reinforcement Learning for Adaptive Negative Sample Selection in Multi-view Positive-Unlabeled LearningPreprint

Liu, B., Huang, K., Xiao, Y., Weng, H., Chen, J., Xixian, S., Chen, D., & Yong2, T. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6854333

multiviewstacking: A Python Package for Training Multi-View Stacking Classifiers

Garcia-Ceja, E. (2026) · Journal of Open Research Software · doi:10.5334/jors.712

Generalized multiview margin distribution learning with margin consistency

Hu, K., Cao, P., Liang, J., Yang, J., & Zaiane, O. R. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.133109

Multi-view neural flow via curvature-aware topological modeling

Huang, W., Shi, Y., Pi, Y., Shi, Y., & Wang, S. Y. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.114164

Multi-view Learning Via Using Statistical Invariant

Xu, B., Song, Y., Li, C., & Shao, Y. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.114180

Incomplete multi-view clustering via consistent indicator completion

Cheng, C., & Tang, K. (2026) · Knowledge and Information Systems · doi:10.1007/s10115-026-02810-5

LPMGCN:Label propagation-based multi-view graph convolutional network for semi-supervised classification

Xiang, D., Tan, B., Zhong, X., Gao, P., Ling, J., Du, H., & Liang, N. (2026) · Earth Science Informatics · doi:10.1007/s12145-026-02157-z

CP-IDC: Consensus prototype-guided incomplete multi-view decoupled clustering

Li, X., & Yang, Y. (2026) · Knowledge-Based Systems · doi:10.1016/j.knosys.2026.116239

MELF: a multi-view ensemble learning framework for normative resting state EEG signal quality assessment

Lv, W., Jia, D., Zha, Z., Bengyan, Z., Lv, Z., Valdes-Sosa, P. A., & Hu, S. (2026) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/ae84d2

A unified framework with information-aware feature decomposition and reliable multi-space prototypes for multi-view semi-supervised classification

Li, J., Shi, Y., Wang, S., Wang, L., & Wu, Y. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.133511

Multi-view gradient residual reductive (MvGR2) model for univariate time series predictions

Kumar, V., Singh, R., & Kumar, S. (2026) · Applied Intelligence · doi:10.1007/s10489-026-07359-y

Multi-view twin random vector functional link for classification problems

Maurya, J., & Gupta, D. (2026) · Applied Soft Computing · doi:10.1016/j.asoc.2026.116097

Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering

Zheng, H., Yang, R., Wang, H., & Xu, J. (2026) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3770854.3780236

Multi-view multi-dimensional collaborative completion for node classification with missing attributes

Song, X., Zhou, B., Wang, Y., Yuan, C., Shang, S., & Yu, L. (2026) · Complex & Intelligent Systems · doi:10.1007/s40747-026-02428-8

ARTFuse-Net: Reliable OCT–OCTA multi-view fusion for structured retinal disease classification

Zhuang, T., Yang, L., Jin, Z., Huang, S., & Wu, X. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.114571

3MuViS, 3-Phase Multi-View Stacking: A Model Selection Algorithm for Multi-View Fusion

Villegas-Morales, G., Garcia-Ceja, E., Hinojosa, S., Pérez-Díaz, J. A., & Zareei, M. (2026) · Machine Learning and Knowledge Extraction · doi:10.3390/make8080227

scMoClust: A Residual-Enhanced Deep Learning Framework for Clustering Single-Cell Multi-Omics DataPreprint

Zhao, F., Zhang, W., Zheng, X., Shen, J., Fan, Z., & Li, Y. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7272222

Few-Shot Class-Incremental Learning via Dynamic Knowledge Accumulation NetworkPreprint

Zhou, J., Yu, R., Ye, F., Liu, Q., Borş, A. G., Sun, J., & zhou, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7272196

A physics-guided contrastive multi-view clustering framework for unsupervised fault diagnosis of rotating machinery

Xu, Y., Zhu, J., & Wang, L. (2026) · Neurocomputing · doi:10.1016/j.neucom.2026.134824

Efficient Multi-View Clustering Through Pairwise Co-Regularization Non-Negative Matrix Factorization with Sparse Constraints

Li, W., Liu, J., Xu, X., & Wang, F. (2026) · Mathematics · doi:10.3390/math14162991

JOURNEY: Joint Objective-User Recommender for Next-item Engagement and Yield for Accommodation Search Result PagePreprint

Liono, J., Budi, S., Sulistiawan, F., Siswanto, E., Imtiyazi, M. A., Khoe, M., Faturrahman, A. Z., Siahaya, A. J., & Arief-Ang, I. B. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7317102

Available View Set-guided multi-view retinal disease classification from OCT and OCTA

Ma, L., Zheng, Y., Wang, S., He, Q., Guo, T., Li, D., Wu, X., & Lu, X. (2026) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-026-02183-9

Reliable cross-view neighborhood relation transfer and high-order semantic structure mining for incomplete multi-view partial multi-label classification

Li, J., Jiang, Z., Bu, W., Du, N., & Lu, X. (2026) · Journal of King Saud University - Computer and Information Sciences · doi:10.1007/s44443-026-01262-9

Sorting under multiple eyes: A multi-view preference learning framework for multi-criteria decision aiding

Gao, Y., Zhang, Z., Chen, Y., & Kadziński, M. (2026) · European Journal of Operational Research · doi:10.1016/j.ejor.2026.09.009

Canonical and Compact Representations in Small Language Model Graph Classification

Podstawski, M. (2026) · Electronics · doi:10.3390/electronics15184270

Multi-view ensemble learning for predictive analytics of telematics data using Bayesian model averaging

Gweon, H., & Li, S. (2026) · Astin Bulletin · doi:10.1017/asb.2026.10116

Structured Information Decomposition over Heterogeneous EEG Relations for Emotion Recognition

Li, D.-D., Han, J.-C., Zhang, Q., & Wang, Z. (2026) · Information Fusion · doi:10.1016/j.inffus.2026.104810

A novel graph-based patient embedding method for the diagnosis of Alzheimer’s disease from microRNA expression data

Buttaro, V., Pellicani, A., Pio, G., D’Elia, D., Pizzulli, C., & Ceci, M. (2026) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-026-01275-y

TriFuseNet-OSDA: Lightweight dynamic multi-view fusion network for chicken pose classification

Xu, J., Lu, Y., Hu, Y., Gou, Z., & Cui, D. (2026) · Displays · doi:10.1016/j.displa.2026.103719

C4-Mamba: Quality-adaptive multi-view fusion for dynamic emotion recognition

Ma, F., Yin, D., Li, X., Yu, Z., Zhao, S., Ren, F., & Tian, Q. (2026) · Information Fusion · doi:10.1016/j.inffus.2026.104856

Rarity-Guided Contrastive Learning for Imbalanced Multi-view ClusteringPreprint

Hou, S., Cheng, X., Ma, J., & Chen, F. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7611142

A survey on multi-view subspace clustering

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Discriminative Multi-View Fusion via Adaptive Regression

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