Imagen de Portada

M3H: Multimodal Multitask Machine Learning for Healthcare

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bertsimas, Dimitris, Ma, Yu
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

Holistic Artificial Intelligence in Medicine; improved performance and explainability
por: Petridis, Periklis, et al.
Publicado: (2025)

MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
por: Cheng, Jiali, et al.
Publicado: (2024)

Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction
por: Ajirak, Marzieh, et al.
Publicado: (2025)

Towards Optimal Valve Prescription for Transcatheter Aortic Valve Replacement (TAVR) Surgery: A Machine Learning Approach
por: Paschalidis, Phevos, et al.
Publicado: (2025)

Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

Uncertainty Quantification for Machine Learning in Healthcare: A Survey
por: López, L. Julián Lechuga, et al.
Publicado: (2025)

Robust Multimodal Representation Learning in Healthcare
por: Zhu, Xiaoguang, et al.
Publicado: (2026)

Global Optimization: A Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Multimodal Federated Learning in Healthcare: a Review
por: Thrasher, Jacob, et al.
Publicado: (2023)

From Data to Uncertainty Sets: a Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2025)

Multimodal Prescriptive Deep Learning
por: Bertsimas, Dimitris, et al.
Publicado: (2025)

Multitask Kernel-based Learning with Logic Constraints
por: Diligenti, Michelangelo, et al.
Publicado: (2024)

Can Multitask Learning Enhance Model Explainability?
por: Najjar, Hiba, et al.
Publicado: (2025)

SoilNet: A Multimodal Multitask Model for Hierarchical Classification of Soil Horizons
por: Singh, Vipin, et al.
Publicado: (2025)

Multitask Multimodal Self-Supervised Learning for Medical Images
por: Simionescu, Cristian
Publicado: (2025)

Robust Regression over Averaged Uncertainty
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Learning with Preserving for Continual Multitask Learning
por: Wang, Hanchen David, et al.
Publicado: (2025)

FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
por: Wang, Penghao, et al.
Publicado: (2025)

Interleaved Multitask Learning with Energy Modulated Learning Progress
por: Say, Hanne, et al.
Publicado: (2025)

DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data
por: Robinet, Lucas, et al.
Publicado: (2024)

Data-Efficient Multitask DAgger
por: Fu, Haotian, et al.
Publicado: (2025)

A Machine Learning Approach to Two-Stage Adaptive Robust Optimization
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Machine Learning for Everyone: Simplifying Healthcare Analytics with BigQuery ML
por: Salari, Mohammad Amir, et al.
Publicado: (2025)

MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
por: Sinodinos, Dimitrios, et al.
Publicado: (2025)

Multitask Learning for Earth Observation Data Classification with Hybrid Quantum Network
por: Fan, Fan, et al.
Publicado: (2026)

Multitask Battery Management with Flexible Pretraining
por: Lu, Hong, et al.
Publicado: (2025)

Feature-Enhanced Machine Learning for All-Cause Mortality Prediction in Healthcare Data
por: Lee, HyeYoung, et al.
Publicado: (2025)

Fair Machine Learning in Healthcare: A Review
por: Feng, Qizhang, et al.
Publicado: (2022)

MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction
por: Wang, Fanmeng, et al.
Publicado: (2024)

AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning
por: Imrie, Fergus, et al.
Publicado: (2022)

MARIA: a Multimodal Transformer Model for Incomplete Healthcare Data
por: Caruso, Camillo Maria, et al.
Publicado: (2024)

Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications
por: Restrepo, David, et al.
Publicado: (2024)

When Does Multimodal Learning Help in Healthcare? A Benchmark on EHR and Chest X-Ray Fusion
por: Yin, Kejing, et al.
Publicado: (2026)

Universal Neurons in GPT2 Language Models
por: Gurnee, Wes, et al.
Publicado: (2024)

Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction
por: Song, Hui, et al.
Publicado: (2024)

On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning
por: Karchmer, Ari
Publicado: (2024)

Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis
por: Kim, June-Woo, et al.
Publicado: (2025)

BSL: A Unified and Generalizable Multitask Learning Platform for Virtual Drug Discovery from Design to Synthesis
por: Li, Kun, et al.
Publicado: (2025)