Saved in:
| Main Authors: | Ardimento, Pasquale, Bernardi, Mario Luca, Cimitile, Marta, Latorre, Samuele |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.03895 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways
by: Ardimento, Pasquale, et al.
Published: (2026)
by: Ardimento, Pasquale, et al.
Published: (2026)
An Effective Software Risk Prediction Management Analysis of Data Using Machine Learning and Data Mining Method
by: Xu, Jinxin, et al.
Published: (2024)
by: Xu, Jinxin, et al.
Published: (2024)
Predictive Monitoring of Business Processes
by: Maggi, Fabrizio Maria, et al.
Published: (2013)
by: Maggi, Fabrizio Maria, et al.
Published: (2013)
Practical Pipeline-Aware Regression Test Optimization for Continuous Integration
by: Schwendner, Daniel, et al.
Published: (2025)
by: Schwendner, Daniel, et al.
Published: (2025)
Risk-Aware Batch Testing for Performance Regression Detection
by: Sayedsalehi, Ali, et al.
Published: (2026)
by: Sayedsalehi, Ali, et al.
Published: (2026)
A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Data using SMOTETomek and FedProx
by: Tertulino, Rodrigo
Published: (2025)
by: Tertulino, Rodrigo
Published: (2025)
Monitizer: Automating Design and Evaluation of Neural Network Monitors
by: Azeem, Muqsit, et al.
Published: (2024)
by: Azeem, Muqsit, et al.
Published: (2024)
ASTD Patterns for Integrated Continuous Anomaly Detection In Data Logs
by: Jabri, Chaymae El, et al.
Published: (2024)
by: Jabri, Chaymae El, et al.
Published: (2024)
Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain
by: Huang, Kaifeng, et al.
Published: (2024)
by: Huang, Kaifeng, et al.
Published: (2024)
PrismaDV: Automated Task-Aware Data Unit Test Generation
by: Chen, Hao, et al.
Published: (2026)
by: Chen, Hao, et al.
Published: (2026)
Function+Data Flow: A Framework to Specify Machine Learning Pipelines for Digital Twinning
by: de Conto, Eduardo, et al.
Published: (2024)
by: de Conto, Eduardo, et al.
Published: (2024)
Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models
by: Alam, Ajmain Inqiad, et al.
Published: (2026)
by: Alam, Ajmain Inqiad, et al.
Published: (2026)
Using Small Language Models to Reverse-Engineer Machine Learning Pipelines Structures
by: Lacroix, Nicolas, et al.
Published: (2026)
by: Lacroix, Nicolas, et al.
Published: (2026)
PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation
by: Koushik, Gourisetty Venkata Sai, et al.
Published: (2026)
by: Koushik, Gourisetty Venkata Sai, et al.
Published: (2026)
LeakageDetector: An Open Source Data Leakage Analysis Tool in Machine Learning Pipelines
by: AlOmar, Eman Abdullah, et al.
Published: (2025)
by: AlOmar, Eman Abdullah, et al.
Published: (2025)
Grounded AI for Code Review: Resource-Efficient Large-Model Serving in Enterprise Pipelines
by: Mandal, Sayan, et al.
Published: (2025)
by: Mandal, Sayan, et al.
Published: (2025)
From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation
by: Pfeiffer, Peter, et al.
Published: (2025)
by: Pfeiffer, Peter, et al.
Published: (2025)
RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
by: Wang, Jiaxing, et al.
Published: (2025)
by: Wang, Jiaxing, et al.
Published: (2025)
Guided Tensor Lifting
by: Li, Yixuan, et al.
Published: (2025)
by: Li, Yixuan, et al.
Published: (2025)
BugGen: A Self-Correcting Multi-Agent LLM Pipeline for Realistic RTL Bug Synthesis
by: Jasper, Surya, et al.
Published: (2025)
by: Jasper, Surya, et al.
Published: (2025)
Expert-Driven Monitoring of Operational ML Models
by: Leest, Joran, et al.
Published: (2024)
by: Leest, Joran, et al.
Published: (2024)
Discovery and Simulation of Data-Aware Business Processes
by: López-Pintado, Orlenys, et al.
Published: (2024)
by: López-Pintado, Orlenys, et al.
Published: (2024)
Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment
by: Ahmed, Shibbir, et al.
Published: (2024)
by: Ahmed, Shibbir, et al.
Published: (2024)
A Pragmatic Way to Measure Chain-of-Thought Monitorability
by: Emmons, Scott, et al.
Published: (2025)
by: Emmons, Scott, et al.
Published: (2025)
Understanding Practitioners Perspectives on Monitoring Machine Learning Systems
by: Naveed, Hira, et al.
Published: (2025)
by: Naveed, Hira, et al.
Published: (2025)
Uncertainty-Guided Label Rebalancing for CPS Safety Monitoring
by: Ayotunde, John, et al.
Published: (2026)
by: Ayotunde, John, et al.
Published: (2026)
Predictive Process Monitoring: a comparison survey between different type of event logs
by: Fioretto, Simona, et al.
Published: (2025)
by: Fioretto, Simona, et al.
Published: (2025)
Mind the GAPS: Bridging the GAPS between Targeted Dynamic Analysis and Static Path Reconstruction in Android Apps
by: Doria, Samuele, et al.
Published: (2025)
by: Doria, Samuele, et al.
Published: (2025)
Monitoring Machine Learning Systems: A Multivocal Literature Review
by: Naveed, Hira, et al.
Published: (2025)
by: Naveed, Hira, et al.
Published: (2025)
When Data Quality Issues Collide: A Large-Scale Empirical Study of Co-Occurring Data Quality Issues in Software Defect Prediction
by: Dapaah, Emmanuel Charleson, et al.
Published: (2025)
by: Dapaah, Emmanuel Charleson, et al.
Published: (2025)
Planning-Aware Code Infilling via Horizon-Length Prediction
by: Ding, Yifeng, et al.
Published: (2024)
by: Ding, Yifeng, et al.
Published: (2024)
Evaluating and Improving the Robustness of Security Attack Detectors Generated by LLMs
by: Pasini, Samuele, et al.
Published: (2024)
by: Pasini, Samuele, et al.
Published: (2024)
PPTAM$η$: Energy Aware CI/CD Pipeline for Container Based Applications
by: Aneggi, Alessandro, et al.
Published: (2026)
by: Aneggi, Alessandro, et al.
Published: (2026)
Fast Abstracts and Student Forum Proceedings -- EDCC 2024 -- 19th European Dependable Computing Conference
by: Bernardi, Simona, et al.
Published: (2024)
by: Bernardi, Simona, et al.
Published: (2024)
Improving Merge Pipeline Throughput in Continuous Integration via Pull Request Prioritization
by: Jungwirth, Maximilian, et al.
Published: (2025)
by: Jungwirth, Maximilian, et al.
Published: (2025)
How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection
by: Omar, Rafiullah, et al.
Published: (2024)
by: Omar, Rafiullah, et al.
Published: (2024)
Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration
by: Cheng, Chih-Hong, et al.
Published: (2024)
by: Cheng, Chih-Hong, et al.
Published: (2024)
Operationalizing Document AI: A Microservice Architecture for OCR and LLM Pipelines in Production
by: Fehlis, Yao, et al.
Published: (2026)
by: Fehlis, Yao, et al.
Published: (2026)
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
by: Guo, Hongcheng, et al.
Published: (2024)
by: Guo, Hongcheng, et al.
Published: (2024)
Targeted Test Selection Approach in Continuous Integration
by: Plyusnin, Pavel, et al.
Published: (2025)
by: Plyusnin, Pavel, et al.
Published: (2025)
Similar Items
-
Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways
by: Ardimento, Pasquale, et al.
Published: (2026) -
An Effective Software Risk Prediction Management Analysis of Data Using Machine Learning and Data Mining Method
by: Xu, Jinxin, et al.
Published: (2024) -
Predictive Monitoring of Business Processes
by: Maggi, Fabrizio Maria, et al.
Published: (2013) -
Practical Pipeline-Aware Regression Test Optimization for Continuous Integration
by: Schwendner, Daniel, et al.
Published: (2025) -
Risk-Aware Batch Testing for Performance Regression Detection
by: Sayedsalehi, Ali, et al.
Published: (2026)