Multimodal Prescriptive Deep Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Bertsimas, Dimitris, Everest, Lisa, Stoumpou, Vasiliki |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| 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)
por: Bertsimas, Dimitris, et al.
Publicado: (2024)
Deep Trees for (Un)structured Data: Tractability, Performance, and Interpretability
por: Bertsimas, Dimitris, et al.
Publicado: (2024)
por: Bertsimas, Dimitris, et al.
Publicado: (2024)
Holistic Artificial Intelligence in Medicine; improved performance and explainability
por: Petridis, Periklis, et al.
Publicado: (2025)
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)
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)
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)
por: Stoumpou, Vasiliki, et al.
Publicado: (2025)
M3H: Multimodal Multitask Machine Learning for Healthcare
por: Bertsimas, Dimitris, et al.
Publicado: (2024)
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)
por: Bertsimas, Dimitris, et al.
Publicado: (2024)
Global Optimization: A Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2023)
por: Bertsimas, Dimitris, et al.
Publicado: (2023)
From Data to Uncertainty Sets: a Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2025)
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)
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)
por: Stoumpou, Vasiliki, et al.
Publicado: (2026)
Adaptive Forests For Classification
por: Bertsimas, Dimitris, et al.
Publicado: (2025)
por: Bertsimas, Dimitris, et al.
Publicado: (2025)
A Machine Learning Approach to Two-Stage Adaptive Robust Optimization
por: Bertsimas, Dimitris, et al.
Publicado: (2023)
por: Bertsimas, Dimitris, et al.
Publicado: (2023)
Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning
por: Margaritis, Georgios, et al.
Publicado: (2025)
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)
por: Bertsimas, Dimitris, et al.
Publicado: (2024)
Overfitting in Adaptive Robust Optimization
por: Zhu, Karl, et al.
Publicado: (2025)
por: Zhu, Karl, et al.
Publicado: (2025)
Algorithmic Insurance
por: Bertsimas, Dimitris, et al.
Publicado: (2021)
por: Bertsimas, Dimitris, et al.
Publicado: (2021)
Catastrophe Insurance: An Adaptive Robust Optimization Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2024)
por: Bertsimas, Dimitris, et al.
Publicado: (2024)
Robust Regression over Averaged Uncertainty
por: Bertsimas, Dimitris, et al.
Publicado: (2023)
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)
por: Bertsimas, Dimitris, et al.
Publicado: (2021)
Adaptive Optimization for Prediction with Missing Data
por: Bertsimas, Dimitris, et al.
Publicado: (2024)
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)
por: Bertsimas, Dimitris, et al.
Publicado: (2025)
Compressed Sensing: A Discrete Optimization Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2023)
por: Bertsimas, Dimitris, et al.
Publicado: (2023)
Sparse Multiple Kernel Learning: Alternating Best Response and Semidefinite Relaxations
por: Bertsimas, Dimitris, et al.
Publicado: (2025)
por: Bertsimas, Dimitris, et al.
Publicado: (2025)
A new perspective on low-rank optimization
por: Bertsimas, Dimitris, et al.
Publicado: (2021)
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)
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)
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)
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)
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)
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)
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)
por: Carballo, Kimberly Villalobos, et al.
Publicado: (2022)
Early Warning Index for Patient Deteriorations in Hospitals
por: Bertsimas, Dimitris, et al.
Publicado: (2025)
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)
por: Zhao, Yang, et al.
Publicado: (2023)
Contrastive Learning on Medical Intents for Sequential Prescription Recommendation
por: Moghaddam, Arya Hadizadeh, et al.
Publicado: (2024)
por: Moghaddam, Arya Hadizadeh, et al.
Publicado: (2024)
Deep Limit Model-free Prediction in Regression
por: Wu, Kejin, et al.
Publicado: (2024)
por: Wu, Kejin, et al.
Publicado: (2024)
Scalable Subsampling Inference for Deep Neural Networks
por: Wu, Kejin, et al.
Publicado: (2024)
por: Wu, Kejin, et al.
Publicado: (2024)
Precision Physical Activity Prescription via Reinforcement Learning for Functional Actions
por: Lin, Gefei, et al.
Publicado: (2026)
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)
por: Lygizou, Zoi, et al.
Publicado: (2024)
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)