Saved in:
| Main Author: | Ardimento, Pasquale |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
|
| Online Access: | https://doi.org/10.5281/zenodo.17150502 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways
by: Ardimento, Pasquale, et al.
Published: (2026)
by: Ardimento, Pasquale, et al.
Published: (2026)
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)
Flash-SD-KDE: Accelerating SD-KDE with Tensor Cores
by: Epstein, Elliot L., et al.
Published: (2026)
by: Epstein, Elliot L., et al.
Published: (2026)
Characterising Developer Sentiment in Software Components: An Exploratory Study of Gentoo
by: Tulili, Tien Rahayu, et al.
Published: (2024)
by: Tulili, Tien Rahayu, et al.
Published: (2024)
HotBugs.jar: A Benchmark of Hot Fixes for Time-Critical Bugs
by: Hanna, Carol, et al.
Published: (2025)
by: Hanna, Carol, et al.
Published: (2025)
Adaptive KDE for Real-Time Thresholding: Prioritized Queues for Financial Crime Investigation
by: Butvinik, Danny, et al.
Published: (2026)
by: Butvinik, Danny, et al.
Published: (2026)
Bug Analysis Towards Bug Resolution Time Prediction
by: Ozkan, Hasan Yagiz, et al.
Published: (2024)
by: Ozkan, Hasan Yagiz, et al.
Published: (2024)
Detection of Extra‐Pair Paternity in Captive Gentoo Penguins Using Genetic Analysis
by: Sora Shimura, et al.
Published: (2025)
by: Sora Shimura, et al.
Published: (2025)
Analysis and Prediction of Periodic Mining‐Induced Strata Behavior Based on RGA ‐ KDE Method
by: An Weiqiang, et al.
Published: (2026)
by: An Weiqiang, et al.
Published: (2026)
SD-KDE: Score-Debiased Kernel Density Estimation
by: Epstein, Elliot L., et al.
Published: (2025)
by: Epstein, Elliot L., et al.
Published: (2025)
Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions
by: Liu, Yuefeng, et al.
Published: (2026)
by: Liu, Yuefeng, et al.
Published: (2026)
Fast Fixes and Faulty Drivers: An Empirical Analysis of Regression Bug Fixing Times in the Linux Kernel
by: Ruohonen, Jukka, et al.
Published: (2024)
by: Ruohonen, Jukka, et al.
Published: (2024)
Artifacts of the ADS Bug-Fix Pattern Study
by: Chen, Yuntianyi, et al.
Published: (2025)
by: Chen, Yuntianyi, et al.
Published: (2025)
ScaleFree: Dynamic KDE for Multiscale Point Cloud Exploration in VR
by: Zhao, Lixiang, et al.
Published: (2026)
by: Zhao, Lixiang, et al.
Published: (2026)
GitBug-Actions: Building Reproducible Bug-Fix Benchmarks with GitHub Actions
by: Saavedra, Nuno, et al.
Published: (2023)
by: Saavedra, Nuno, et al.
Published: (2023)
TabKDE: Simple and Scalable Tabular Data Generation with Kernel Density Estimates
by: Alishahi, Meysam, et al.
Published: (2026)
by: Alishahi, Meysam, et al.
Published: (2026)
Fixing Hardware Security Bugs with Large Language Models
by: Ahmad, Baleegh, et al.
Published: (2023)
by: Ahmad, Baleegh, et al.
Published: (2023)
The Limits of Long-Context Reasoning in Automated Bug Fixing
by: Raju, Ravi, et al.
Published: (2026)
by: Raju, Ravi, et al.
Published: (2026)
HaPy-Bug -- Human Annotated Python Bug Resolution Dataset
by: Przymus, Piotr, et al.
Published: (2025)
by: Przymus, Piotr, et al.
Published: (2025)
A preliminary study of trace metals and porphyrins in excreta of Gentoo penguins (Pygoscelis papua) at two locations of the Antarctic Peninsula
by: J Celis
Published: (2012)
by: J Celis
Published: (2012)
HAFix: History-Augmented Large Language Models for Bug Fixing
by: Shi, Yu, et al.
Published: (2025)
by: Shi, Yu, et al.
Published: (2025)
An Empirical Study on LLM-based Agents for Automated Bug Fixing
by: Meng, Xiangxin, et al.
Published: (2024)
by: Meng, Xiangxin, et al.
Published: (2024)
Multifaceted Hero Developers and Bug-Fixing Outcomes Across Severity
by: Kumar, Amit, et al.
Published: (2026)
by: Kumar, Amit, et al.
Published: (2026)
On the Impact of Code Comments for Automated Bug-Fixing: An Empirical Study
by: Vitale, Antonio, et al.
Published: (2026)
by: Vitale, Antonio, et al.
Published: (2026)
Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
by: Moon, Seungjun, et al.
Published: (2023)
by: Moon, Seungjun, et al.
Published: (2023)
MarsCode Agent: AI-native Automated Bug Fixing
by: Liu, Yizhou, et al.
Published: (2024)
by: Liu, Yizhou, et al.
Published: (2024)
Developers' Perception: Fixed Bugs Often Overlooked as Quality Contributions
by: Alifanov, Vitaly, et al.
Published: (2024)
by: Alifanov, Vitaly, et al.
Published: (2024)
Challenging Bug Prediction and Repair Models with Synthetic Bugs
by: Ibrahimzada, Ali Reza, et al.
Published: (2023)
by: Ibrahimzada, Ali Reza, et al.
Published: (2023)
Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs?
by: Garg, Spandan, et al.
Published: (2026)
by: Garg, Spandan, et al.
Published: (2026)
GK-SMOTE: A Hyperparameter-free Noise-Resilient Gaussian KDE-Based Oversampling Approach
by: Miraj, Mahabubur Rahman, et al.
Published: (2025)
by: Miraj, Mahabubur Rahman, et al.
Published: (2025)
Gradient Flow Drifting: Generative Modeling via Wasserstein Gradient Flows of KDE-Approximated Divergences
by: Cao, Jiarui, et al.
Published: (2026)
by: Cao, Jiarui, et al.
Published: (2026)
SWE-Synth: Synthesizing Verifiable Bug-Fix Data to Enable Large Language Models in Resolving Real-World Bugs
by: Pham, Minh V. T., et al.
Published: (2025)
by: Pham, Minh V. T., et al.
Published: (2025)
A Comprehensive Study of Bug-Fix Patterns in Autonomous Driving Systems
by: Chen, Yuntianyi, et al.
Published: (2025)
by: Chen, Yuntianyi, et al.
Published: (2025)
Gradient-Based Program Repair: Fixing Bugs in Continuous Program Spaces
by: Silva, André, et al.
Published: (2025)
by: Silva, André, et al.
Published: (2025)
Physically Based Real‐Time Rendering of Eclipses
by: S. Schneegans, et al.
Published: (2025)
by: S. Schneegans, et al.
Published: (2025)
Nickel Eclipse
by: Gansworth, Eric
Published: (2025)
by: Gansworth, Eric
Published: (2025)
Anticipating Bugs: Ticket-Level Bug Prediction and Temporal Proximity Effects
by: La Prova, Daniele, et al.
Published: (2025)
by: La Prova, Daniele, et al.
Published: (2025)
Identifying High-Risk Areas for Traffic Collisions in Montgomery, Maryland Using KDE and Spatial Autocorrelation Analysis
by: Liashkov, Stanislav
Published: (2025)
by: Liashkov, Stanislav
Published: (2025)
Into the Curriculum. Science: Thematic Science Fairs with an Integrated Flair [and] Science/Language Arts: Bugs, Bugs, Bugs [and] Science/Language Arts: Extra, Extra! Write All about It! [and] Social Studies: Voyages Around the World: Women Pioneers [and] Social Studies: Women's History Month.
by: Baum, Elizabeth T., et al.
Published: (2000)
by: Baum, Elizabeth T., et al.
Published: (2000)
An Exploratory Study on Just-in-Time Multi-Programming-Language Bug Prediction
by: Li, Zengyang, et al.
Published: (2024)
by: Li, Zengyang, et al.
Published: (2024)
Similar Items
-
From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways
by: Ardimento, Pasquale, et al.
Published: (2026) -
Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways
by: Ardimento, Pasquale, et al.
Published: (2026) -
Flash-SD-KDE: Accelerating SD-KDE with Tensor Cores
by: Epstein, Elliot L., et al.
Published: (2026) -
Characterising Developer Sentiment in Software Components: An Exploratory Study of Gentoo
by: Tulili, Tien Rahayu, et al.
Published: (2024) -
HotBugs.jar: A Benchmark of Hot Fixes for Time-Critical Bugs
by: Hanna, Carol, et al.
Published: (2025)