DeepBridge: A Unified and Production-Ready Framework for Multi-Dimensional Machine Learning Validation
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Haase, Gustavo Coelho, da Silva, Paulo Henrique Dourado |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
HPM-KD: Hierarchical Progressive Multi-Teacher Framework for Knowledge Distillation and Efficient Model Compression
par: Haase, Gustavo Coelho, et autres
Publié: (2025)
par: Haase, Gustavo Coelho, et autres
Publié: (2025)
Bridging the Gap Between Climate Science and Machine Learning in Climate Model Emulation
par: Schmidt, Luca, et autres
Publié: (2026)
par: Schmidt, Luca, et autres
Publié: (2026)
Fusion Sampling Validation in Data Partitioning for Machine Learning
par: Udomboso, Christopher Godwin, et autres
Publié: (2025)
par: Udomboso, Christopher Godwin, et autres
Publié: (2025)
Development and Validation of a Dynamic Kidney Failure Prediction Model based on Deep Learning: A Real-World Study with External Validation
par: Ma, Jingying, et autres
Publié: (2025)
par: Ma, Jingying, et autres
Publié: (2025)
A Machine Learning-Based Framework to Shorten the Questionnaire for Assessing Autism Intervention
par: Dong, Audrey, et autres
Publié: (2025)
par: Dong, Audrey, et autres
Publié: (2025)
A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts
par: Groll, Andreas, et autres
Publié: (2024)
par: Groll, Andreas, et autres
Publié: (2024)
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data
par: Aouar, Lynda, et autres
Publié: (2024)
par: Aouar, Lynda, et autres
Publié: (2024)
Model-Agnostic Interpretation Framework in Machine Learning: A Comparative Study in NBA Sports
par: Liu, Shun
Publié: (2024)
par: Liu, Shun
Publié: (2024)
Digital Twin-Centered Hybrid Data-Driven Multi-Stage Deep Learning Framework for Enhanced Nuclear Reactor Power Prediction
par: Daniell, James, et autres
Publié: (2022)
par: Daniell, James, et autres
Publié: (2022)
A Machine Learning Framework for Breast Cancer Treatment Classification Using a Novel Dataset
par: Hasan, Md Nahid, et autres
Publié: (2025)
par: Hasan, Md Nahid, et autres
Publié: (2025)
Pure Component Property Estimation Framework Using Explainable Machine Learning Methods
par: Jiao, Jianfeng, et autres
Publié: (2025)
par: Jiao, Jianfeng, et autres
Publié: (2025)
Feature Augmentations for High-Dimensional Learning
par: Zhu, Xiaonan, et autres
Publié: (2025)
par: Zhu, Xiaonan, et autres
Publié: (2025)
Predicting VBAC Outcomes from U.S. Natality Data using Deep and Classical Machine Learning Models
par: Anand, Ananya
Publié: (2025)
par: Anand, Ananya
Publié: (2025)
DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
par: Jiang, Manrui, et autres
Publié: (2026)
par: Jiang, Manrui, et autres
Publié: (2026)
Decision Support for Marketplace Policies under Incomplete Evidence: From Replay to Launch Readiness
par: Shekhar, Prashant, et autres
Publié: (2026)
par: Shekhar, Prashant, et autres
Publié: (2026)
A Causal Machine Learning Framework for Treatment Personalization in Clinical Trials: Application to Ulcerative Colitis
par: Minoccheri, Cristian, et autres
Publié: (2026)
par: Minoccheri, Cristian, et autres
Publié: (2026)
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm
par: Luo, Nanyu, et autres
Publié: (2025)
par: Luo, Nanyu, et autres
Publié: (2025)
A Unified Combination Framework for Dependent Tests with Applications to Microbiome Association Studies
par: Yu, Xiufan, et autres
Publié: (2024)
par: Yu, Xiufan, et autres
Publié: (2024)
High-Dimensional Statistical Process Control via Manifold Fitting and Learning
par: Tas, Burak I., et autres
Publié: (2025)
par: Tas, Burak I., et autres
Publié: (2025)
Bayesian Deployment Approval for Learned Landing Controllers under Finite Rollout Validation
par: Jiang, Fei, et autres
Publié: (2026)
par: Jiang, Fei, et autres
Publié: (2026)
A Novel Framework for Analyzing Structural Transformation in Data-Constrained Economies Using Bayesian Modeling and Machine Learning
par: Katende, Ronald
Publié: (2024)
par: Katende, Ronald
Publié: (2024)
A Comprehensive Analysis of Churn Prediction in Telecommunications Using Machine Learning
par: Chen, Xuhang, et autres
Publié: (2025)
par: Chen, Xuhang, et autres
Publié: (2025)
Bayesian Hybrid Machine Learning of Gallstone Risk
par: Chakraborty, Chitradipa, et autres
Publié: (2025)
par: Chakraborty, Chitradipa, et autres
Publié: (2025)
Deep Learning for Forensic Identification of Source
par: Patten, Cole, et autres
Publié: (2025)
par: Patten, Cole, et autres
Publié: (2025)
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals
par: Su, Yuqi, et autres
Publié: (2024)
par: Su, Yuqi, et autres
Publié: (2024)
Improving the Validity and Practical Usefulness of AI/ML Evaluations Using an Estimands Framework
par: Binette, Olivier, et autres
Publié: (2024)
par: Binette, Olivier, et autres
Publié: (2024)
Intelligent Diagnosis of Alzheimer's Disease Based on Machine Learning
par: Li, Mingyang, et autres
Publié: (2024)
par: Li, Mingyang, et autres
Publié: (2024)
Monitoring Machine Learning Forecasts for Platform Data Streams
par: Rombouts, Jeroen, et autres
Publié: (2024)
par: Rombouts, Jeroen, et autres
Publié: (2024)
Multi-output Extreme Spatial Model for Complex Aircraft Production Systems
par: Lee, Cheolhei, et autres
Publié: (2026)
par: Lee, Cheolhei, et autres
Publié: (2026)
Predicting Air Pollution in Cork, Ireland Using Machine Learning
par: Rashidunnabi, Md, et autres
Publié: (2025)
par: Rashidunnabi, Md, et autres
Publié: (2025)
Predicting House Rental Prices in Ghana Using Machine Learning
par: Adzanoukpe, Philip
Publié: (2025)
par: Adzanoukpe, Philip
Publié: (2025)
Classification of Epileptic iEEG using Topological Machine Learning
par: Tanweer, Sunia, et autres
Publié: (2026)
par: Tanweer, Sunia, et autres
Publié: (2026)
Diagnostics for Individual-Level Prediction Instability in Machine Learning for Healthcare
par: Miller, Elizabeth W., et autres
Publié: (2026)
par: Miller, Elizabeth W., et autres
Publié: (2026)
Adaptive Degradation Process with Deep Learning-Driven Trajectory
par: Yang, Li
Publié: (2021)
par: Yang, Li
Publié: (2021)
A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation
par: Fazeliasl, Forough, et autres
Publié: (2025)
par: Fazeliasl, Forough, et autres
Publié: (2025)
A Unified Framework for Estimation of High-dimensional Conditional Factor Models
par: Chen, Qihui
Publié: (2022)
par: Chen, Qihui
Publié: (2022)
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values
par: Caruso, Camillo Maria, et autres
Publié: (2023)
par: Caruso, Camillo Maria, et autres
Publié: (2023)
DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting
par: Ye, Feng, et autres
Publié: (2024)
par: Ye, Feng, et autres
Publié: (2024)
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
par: Longjohn, Rachel, et autres
Publié: (2025)
par: Longjohn, Rachel, et autres
Publié: (2025)
Applications of Machine Learning in Pharmacogenomics: Clustering Plasma Concentration-Time Curves
par: Lautier, Jackson P., et autres
Publié: (2022)
par: Lautier, Jackson P., et autres
Publié: (2022)
Documents similaires
-
HPM-KD: Hierarchical Progressive Multi-Teacher Framework for Knowledge Distillation and Efficient Model Compression
par: Haase, Gustavo Coelho, et autres
Publié: (2025) -
Bridging the Gap Between Climate Science and Machine Learning in Climate Model Emulation
par: Schmidt, Luca, et autres
Publié: (2026) -
Fusion Sampling Validation in Data Partitioning for Machine Learning
par: Udomboso, Christopher Godwin, et autres
Publié: (2025) -
Development and Validation of a Dynamic Kidney Failure Prediction Model based on Deep Learning: A Real-World Study with External Validation
par: Ma, Jingying, et autres
Publié: (2025) -
A Machine Learning-Based Framework to Shorten the Questionnaire for Assessing Autism Intervention
par: Dong, Audrey, et autres
Publié: (2025)