Efficient Milling Quality Prediction with Explainable Machine Learning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Gross, Dennis, Spieker, Helge, Gotlieb, Arnaud, Knoblauch, Ricardo, Elmansori, Mohamed |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Enhancing Manufacturing Quality Prediction Models through the Integration of Explainability Methods
par: Gross, Dennis, et autres
Publié: (2024)
par: Gross, Dennis, et autres
Publié: (2024)
Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies
par: Gross, Dennis, et autres
Publié: (2025)
par: Gross, Dennis, et autres
Publié: (2025)
Semi-supervised CAPP Transformer Learning via Pseudo-labeling
par: Gross, Dennis, et autres
Publié: (2026)
par: Gross, Dennis, et autres
Publié: (2026)
Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies
par: Gross, Dennis, et autres
Publié: (2024)
par: Gross, Dennis, et autres
Publié: (2024)
Verifying Memoryless Sequential Decision-making of Large Language Models
par: Gross, Dennis, et autres
Publié: (2025)
par: Gross, Dennis, et autres
Publié: (2025)
Bounded PCTL Model Checking of Large Language Model Outputs
par: Gross, Dennis, et autres
Publié: (2025)
par: Gross, Dennis, et autres
Publié: (2025)
Enhancing RL Safety with Counterfactual LLM Reasoning
par: Gross, Dennis, et autres
Publié: (2024)
par: Gross, Dennis, et autres
Publié: (2024)
Rashomon in the Streets: Explanation Ambiguity in Scene Understanding
par: Spieker, Helge, et autres
Publié: (2025)
par: Spieker, Helge, et autres
Publié: (2025)
Translating the Rashomon Effect to Sequential Decision-Making Tasks
par: Gross, Dennis, et autres
Publié: (2025)
par: Gross, Dennis, et autres
Publié: (2025)
Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks
par: Belmecheri, Nassim, et autres
Publié: (2025)
par: Belmecheri, Nassim, et autres
Publié: (2025)
Constraint-Guided Test Execution Scheduling: An Experience Report at ABB Robotics
par: Gotlieb, Arnaud, et autres
Publié: (2023)
par: Gotlieb, Arnaud, et autres
Publié: (2023)
Evaluating Human Trajectory Prediction with Metamorphic Testing
par: Spieker, Helge, et autres
Publié: (2024)
par: Spieker, Helge, et autres
Publié: (2024)
Metamorphic Testing of Multimodal Human Trajectory Prediction
par: Spieker, Helge, et autres
Publié: (2025)
par: Spieker, Helge, et autres
Publié: (2025)
Efficiently Ranking Software Variants with Minimal Benchmarks
par: Matricon, Théo, et autres
Publié: (2025)
par: Matricon, Théo, et autres
Publié: (2025)
Testing for Fault Diversity in Reinforcement Learning
par: Mazouni, Quentin, et autres
Publié: (2024)
par: Mazouni, Quentin, et autres
Publié: (2024)
Probabilistic Model Checking of Stochastic Reinforcement Learning Policies
par: Gross, Dennis, et autres
Publié: (2024)
par: Gross, Dennis, et autres
Publié: (2024)
Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations
par: Belmecheri, Nassim, et autres
Publié: (2024)
par: Belmecheri, Nassim, et autres
Publié: (2024)
Towards Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations
par: Belmecheri, Nassim, et autres
Publié: (2024)
par: Belmecheri, Nassim, et autres
Publié: (2024)
Policy Testing with MDPFuzz (Replicability Study)
par: Mazouni, Quentin, et autres
Publié: (2025)
par: Mazouni, Quentin, et autres
Publié: (2025)
Explainable Machine Learning for ICU Readmission Prediction
par: de Sá, Alex G. C., et autres
Publié: (2023)
par: de Sá, Alex G. C., et autres
Publié: (2023)
Mutation‐Guided Metamorphic Testing of Optimality in AI Planning
par: Quentin Mazouni, et autres
Publié: (2024)
par: Quentin Mazouni, et autres
Publié: (2024)
An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction
par: Rifat, Md. Asif Khan, et autres
Publié: (2024)
par: Rifat, Md. Asif Khan, et autres
Publié: (2024)
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
par: Hasan, Mohammad, et autres
Publié: (2024)
par: Hasan, Mohammad, et autres
Publié: (2024)
Research on Milling Machine Predictive Maintenance Based on Machine Learning and SHAP Analysis in Intelligent Manufacturing Environment
par: Zhao, Wen, et autres
Publié: (2025)
par: Zhao, Wen, et autres
Publié: (2025)
Explainable Graph-theoretical Machine Learning: with Application to Alzheimer's Disease Prediction
par: Baghirova, Narmina, et autres
Publié: (2025)
par: Baghirova, Narmina, et autres
Publié: (2025)
Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting Machines
par: Yousif, Yasin, et autres
Publié: (2024)
par: Yousif, Yasin, et autres
Publié: (2024)
Turn-based Multi-Agent Reinforcement Learning Model Checking
par: Gross, Dennis
Publié: (2025)
par: Gross, Dennis
Publié: (2025)
On the Role of Context in Reading Time Prediction
par: Opedal, Andreas, et autres
Publié: (2024)
par: Opedal, Andreas, et autres
Publié: (2024)
Explainable Machine Learning: An Illustration of Kolmogorov-Arnold Network Model for Airfoil Lift Prediction
par: Kulkarni, Sudhanva
Publié: (2025)
par: Kulkarni, Sudhanva
Publié: (2025)
Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic Metrics
par: Munoz, Cristian, et autres
Publié: (2023)
par: Munoz, Cristian, et autres
Publié: (2023)
COOL-MC: Verifying and Explaining RL Policies for Multi-bridge Network Maintenance
par: Gross, Dennis
Publié: (2026)
par: Gross, Dennis
Publié: (2026)
COOL-MC: Verifying and Explaining RL Policies for Platelet Inventory Management
par: Gross, Dennis
Publié: (2026)
par: Gross, Dennis
Publié: (2026)
Formally Verifying and Explaining Sepsis Treatment Policies with COOL-MC
par: Gross, Dennis
Publié: (2026)
par: Gross, Dennis
Publié: (2026)
Integrating Explainable Machine Learning and Mixed-Integer Optimization for Personalized Sleep Quality Intervention
par: Anik, Mahfuz Ahmed, et autres
Publié: (2026)
par: Anik, Mahfuz Ahmed, et autres
Publié: (2026)
Explainable Probabilistic Machine Learning for Predicting Drilling Fluid Loss of Circulation in Marun Oil Field
par: Damarla, Seshu Kumar, et autres
Publié: (2025)
par: Damarla, Seshu Kumar, et autres
Publié: (2025)
Rethinking Explainable Machine Learning as Applied Statistics
par: Bordt, Sebastian, et autres
Publié: (2024)
par: Bordt, Sebastian, et autres
Publié: (2024)
An Explainable Pipeline for Machine Learning with Functional Data
par: Goode, Katherine, et autres
Publié: (2025)
par: Goode, Katherine, et autres
Publié: (2025)
Accurate and Efficient Prediction of Wi-Fi Link Quality Based on Machine Learning
par: Formis, Gabriele, et autres
Publié: (2025)
par: Formis, Gabriele, et autres
Publié: (2025)
SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning
par: Naser, M. Z., et autres
Publié: (2023)
par: Naser, M. Z., et autres
Publié: (2023)
Utilizing Large Language Models for Machine Learning Explainability
par: Vassiliades, Alexandros, et autres
Publié: (2025)
par: Vassiliades, Alexandros, et autres
Publié: (2025)
Documents similaires
-
Enhancing Manufacturing Quality Prediction Models through the Integration of Explainability Methods
par: Gross, Dennis, et autres
Publié: (2024) -
Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies
par: Gross, Dennis, et autres
Publié: (2025) -
Semi-supervised CAPP Transformer Learning via Pseudo-labeling
par: Gross, Dennis, et autres
Publié: (2026) -
Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies
par: Gross, Dennis, et autres
Publié: (2024) -
Verifying Memoryless Sequential Decision-making of Large Language Models
par: Gross, Dennis, et autres
Publié: (2025)