Multi

Multimodal

Models that combine text, vision, audio and more.

5,753 papers · Aggregated across sources — IEEE, arXiv, ACM, Springer, Elsevier and more.

A Fairness-Constrained Multimodal Adaptive Reinforcement Learning Framework for Personalized Candidate Evaluation in Virtual Interviews

Mallikarjuna G D

Journal of Intelligent Decision Making and Information Science ·Jul 31, 2026
A scalable system architecture for multimodal learning behavior data acquisition and analysis in virtual reality educational environments

Dan Hong

Scientific Reports ·Jul 31, 2026
Ekstraksi informasi kartu identitas menggunakan arsitektur multimodal learning berbasis data sintetis

Muhammad Nashiruddin, Fiusyam Dhaza Noor Praditya, Agiel Faiz Mufazzal et al.

Journal of Informatics Intelligent Technology Cybersecurity and Software (JIITeCS) ·Jul 31, 2026
Robust multimodal expert learning for sentiment analysis with missing modalities

Atif Hussain, Yu Gu, Iftekharul Islam et al.

Scientific Reports ·Jul 31, 2026
The role of catastrophizing in anxiety and depression symptom scores among knee osteoarthritis patients: a multimodal assessment with EEG and machine learning

Jordan Vieira, Marta Imamura, Linamara R. Battistella et al.

Experimental Brain Research ·Jul 31, 2026
Machine learning-based prediction of climate-driven sickle cell anemia crises across Nigerian regions using synthetic multimodal data

Mary Ofuru Kama, Ifeyinwa Angela Ajah, Sylvester Agbo Igwe et al.

Proceedings of the Nigerian Society of Physical Sciences ·Jul 31, 2026
Multimodal Reasoning and Agentic Learning for Vision-Language Models

Kaixuan Fan

California Digital Library ·Jul 31, 2026
Multimodal performance evaluation and machine learning-optimized prediction of flexible, mixed-field radiation shielding using GO/MXene-scaffolded PVC ternary nanocomposites

Hanaa A. Alshammari, A. H. Korna, S. Fares et al.

Journal of Thermoplastic Composite Materials ·Jul 31, 2026
Application of a parametric supermatrix multi-task multimodal deep learning model based on electroencephalogram and peripheral physiological signal fusion in emotion recognition

Xue Li, Piqiang Gong, Chuantao Li et al.

Frontiers in Neuroscience ·Jul 31, 2026
PRInter: an inductive multimodal heterogeneous network embedding framework with contrastive learning for lncRNA-protein interaction prediction

Guoqing Zhao, Baolu Shi, Pengpai Li et al.

BMC Bioinformatics ·Jul 30, 2026
Hybrid Information Mixing Module for Stock Movement Prediction: A Multimodal Deep Learning Approach with Bidirectional Recurrent Enhancement

P. Pranav Sasank, E. Gnaneshwar Raju, Yahvi Khamitkar et al.

Zenodo (CERN European Organization for Nuclear Research) ·Jul 30, 2026
Multimodal Ensemble Learning Framework for Breast Cancer Diagnosis Using Transfer Learning and Clinical Machine Learning Models

Ogochukwu C. Okeke, Ike Mgbeafulike, Ugbor Ihechiluru C. et al.

Zenodo (CERN European Organization for Nuclear Research) ·Jul 30, 2026
Interpretable multimodal machine learning for diagnosis of drug-resistant tuberculosis

Joan Jonathan Mnyambo, Amir Aly, Emmanuel Ifeachor et al.

Frontiers in Digital Health ·Jul 30, 2026
A Multimodal and Multitemporal Deep Learning Semantic Segmentation Method based on Variational Autoencoder for Multimodal Remote Sensing Image Time Series

Luca Bergamasco, Marius Guichard, Mauro Dalla Mura et al.

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences ·Jul 30, 2026
Interpretable multimodal machine learning for injury risk stratification in adolescent athletes: integrating kinematic, physiological, and load data with SHAP/LIME explainability

Linzhen Zhou, Meng Zheng, Hongbing Wang et al.

Frontiers in Medicine ·Jul 30, 2026
Adaptive Obstacle‐Avoidance Path Planning for UAVs Using MobileViT‐Based Multimodal Perception and Deep Reinforcement Learning

Xuan Hong

Journal of Field Robotics ·Jul 30, 2026
Multimodal Contextual Learning for Maize Disease Diagnosis: Fusing Visual and Environmental Data

Hilton Kudzai Chironga, Muhammad Ary Murti, Erwin Susanto et al.

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) ·Jul 29, 2026
Broadening the classroom walls: translanguaging and multimodal co-creation in museum-based language learning

Claudia Meneghetti

EuroAmerican Journal of Applied Linguistics and Languages ·Jul 29, 2026
A translanguaging and transpositioning perspective on co-learning in the collaborative digital multimodal composing process

Karen Choi, Kevin W. H. Tai

Applied Linguistics Review ·Jul 29, 2026
Hybrid deep learning and meta learning for Alzheimer disease classification via multimodal radiomic and visual features

Areej Y. Bayahya, Fares Jammal

Scientific Reports ·Jul 29, 2026
Geomorphology-informed multimodal learning with implicit–explicit constraints for non-salient old landslide mapping

Li Shen, Mengqing Guo, Geding Yan et al.

Figshare ·Jul 28, 2026
Quantifying Perovskite Solar Cell Degradation via Machine Learning From Spatially Resolved Multimodal Luminescence Time Series

Giulio Barletta, Simon Ternes, Saif Ali et al.

Solar RRL ·Jul 28, 2026
A Multimodal Evidential Deep Learning Framework with Dempster–Shafer Fusion for Parkinson's Disease Detection from MRI and Clinical Data

Naved Ahmad, Ihtiram Raza Khan, Suraiya Parveen et al.

International journal of intelligent engineering and systems ·Jul 28, 2026

Other sub-topics

Artificial Intelligence Machine Learning Deep Learning Large Language Models Computer Vision On-Device & Edge AI Image Generation Speech & Audio Reinforcement Learning AI Agents & Agentic AI Medical & Healthcare AI AI Safety & Alignment Robotics

Multimodal

A Fairness-Constrained Multimodal Adaptive Reinforcement Learning Framework for Personalized Candidate Evaluation in Virtual Interviews

A scalable system architecture for multimodal learning behavior data acquisition and analysis in virtual reality educational environments

Ekstraksi informasi kartu identitas menggunakan arsitektur multimodal learning berbasis data sintetis

Robust multimodal expert learning for sentiment analysis with missing modalities

The role of catastrophizing in anxiety and depression symptom scores among knee osteoarthritis patients: a multimodal assessment with EEG and machine learning

Machine learning-based prediction of climate-driven sickle cell anemia crises across Nigerian regions using synthetic multimodal data

Multimodal Reasoning and Agentic Learning for Vision-Language Models

Multimodal performance evaluation and machine learning-optimized prediction of flexible, mixed-field radiation shielding using GO/MXene-scaffolded PVC ternary nanocomposites

Application of a parametric supermatrix multi-task multimodal deep learning model based on electroencephalogram and peripheral physiological signal fusion in emotion recognition

PRInter: an inductive multimodal heterogeneous network embedding framework with contrastive learning for lncRNA-protein interaction prediction

Hybrid Information Mixing Module for Stock Movement Prediction: A Multimodal Deep Learning Approach with Bidirectional Recurrent Enhancement

Multimodal Ensemble Learning Framework for Breast Cancer Diagnosis Using Transfer Learning and Clinical Machine Learning Models

Interpretable multimodal machine learning for diagnosis of drug-resistant tuberculosis

A Multimodal and Multitemporal Deep Learning Semantic Segmentation Method based on Variational Autoencoder for Multimodal Remote Sensing Image Time Series

Interpretable multimodal machine learning for injury risk stratification in adolescent athletes: integrating kinematic, physiological, and load data with SHAP/LIME explainability

Adaptive Obstacle‐Avoidance Path Planning for UAVs Using MobileViT‐Based Multimodal Perception and Deep Reinforcement Learning

Multimodal Contextual Learning for Maize Disease Diagnosis: Fusing Visual and Environmental Data

Broadening the classroom walls: translanguaging and multimodal co-creation in museum-based language learning

A translanguaging and transpositioning perspective on co-learning in the collaborative digital multimodal composing process

Hybrid deep learning and meta learning for Alzheimer disease classification via multimodal radiomic and visual features

Geomorphology-informed multimodal learning with implicit–explicit constraints for non-salient old landslide mapping

Quantifying Perovskite Solar Cell Degradation via Machine Learning From Spatially Resolved Multimodal Luminescence Time Series

A Multimodal Evidential Deep Learning Framework with Dempster–Shafer Fusion for Parkinson's Disease Detection from MRI and Clinical Data

Other sub-topics