Imagen de Portada

Multimodal Prescriptive Deep Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bertsimas, Dimitris, Everest, Lisa, Stoumpou, Vasiliki
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Binary Classification: Is Boosting stronger than Bagging?
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

Deep Trees for (Un)structured Data: Tractability, Performance, and Interpretability
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

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

Detection and Localization of Subdural Hematoma Using Deep Learning on Computed Tomography
por: Stoumpou, Vasiliki, 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)

An Interpretable AI Tool for SAVR vs TAVR in Low to Intermediate Risk Patients with Severe Aortic Stenosis
por: Stoumpou, Vasiliki, et al.
Publicado: (2025)

M3H: Multimodal Multitask Machine Learning for Healthcare
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

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

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

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

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

Observing the unobserved confounding through its effects: toward randomized trial-like estimates from real-world survival data
por: Stoumpou, Vasiliki, et al.
Publicado: (2026)

Adaptive Forests For Classification
por: Bertsimas, Dimitris, et al.
Publicado: (2025)

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

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning
por: Margaritis, Georgios, et al.
Publicado: (2025)

Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

Overfitting in Adaptive Robust Optimization
por: Zhu, Karl, et al.
Publicado: (2025)

Algorithmic Insurance
por: Bertsimas, Dimitris, et al.
Publicado: (2021)

Catastrophe Insurance: An Adaptive Robust Optimization Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

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

Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance
por: Bertsimas, Dimitris, et al.
Publicado: (2021)

Adaptive Optimization for Prediction with Missing Data
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2025)

Compressed Sensing: A Discrete Optimization Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Sparse Multiple Kernel Learning: Alternating Best Response and Semidefinite Relaxations
por: Bertsimas, Dimitris, et al.
Publicado: (2025)

A new perspective on low-rank optimization
por: Bertsimas, Dimitris, et al.
Publicado: (2021)

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms
por: Ning, Catherine, et al.
Publicado: (2026)

Prescribe-then-Select: Adaptive Policy Selection for Contextual Stochastic Optimization
por: Iglesias, Caio de Prospero, et al.
Publicado: (2025)

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

Disjunctive Branch-and-Bound for Certifiably Optimal Low-Rank Matrix Completion
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

A Multimodal Framework for Dementia Detection via Linguistic and Acoustic Representation Learning
por: Ilias, Loukas, et al.
Publicado: (2026)

Bridging Deep Learning and Integer Linear Programming: A Predictive-to-Prescriptive Framework for Supply Chain Analytics
por: Nghiep, Khai Banh, et al.
Publicado: (2026)

TabText: Language-Based Representations of Tabular Health Data for Predictive Modelling
por: Carballo, Kimberly Villalobos, et al.
Publicado: (2022)

Early Warning Index for Patient Deteriorations in Hospitals
por: Bertsimas, Dimitris, et al.
Publicado: (2025)

TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework
por: Zhao, Yang, et al.
Publicado: (2023)

Contrastive Learning on Medical Intents for Sequential Prescription Recommendation
por: Moghaddam, Arya Hadizadeh, et al.
Publicado: (2024)

Deep Limit Model-free Prediction in Regression
por: Wu, Kejin, et al.
Publicado: (2024)

Scalable Subsampling Inference for Deep Neural Networks
por: Wu, Kejin, et al.
Publicado: (2024)

Precision Physical Activity Prescription via Reinforcement Learning for Functional Actions
por: Lin, Gefei, et al.
Publicado: (2026)

Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms
por: Lygizou, Zoi, et al.
Publicado: (2024)