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21

Automated File-Level Logging Generation for Machine Learning Applications using LLMs: A Case Study using GPT-4o Mini
Rodriguez, Mayra Sofia Ruiz ; Khatoonabadi, SayedHassan ; Shihab, Emad

Software Engineering Artificial Intelligence Machine Learning
Report
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22

ENHANCING VULNERABILITY DETECTION IN CONCURRENT SOFTWARE WITH HYBRID FUZZING AND MACHINE LEARNING
Abubakar, Musa Aliyu

Hybrid Fuzzing Machine Learning Model Checking Concurrency Testing Vulnerability Detection
Fachzeitschrift
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23

Large Language Model-Based Agent Schema and Library for Building Energy Analysis and Modeling.
Liang Zhang
ASHRAE Transactions. 2025, Vol. 131 Issue Part 1, p38-46. 9p.

ARTIFICIAL neural networ... MACHINE learning LANGUAGE models ARCHITECTURAL engineerin... GREENHOUSE gases DEBUGGING …
Konferenz
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24

Influence-Guided Concolic Testing of Transformer Robustness
Hong, Chih-Duo ; Wang, Yu ; Chang, Yao-Chen ; et al.

Software Engineering Machine Learning
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25

ENHANCED HYBRID FUZZING FOR CONCURRENT SOFTWARE VULNERABILITY DETECTION
Abubakar, Ibrahim Yusuf

Hybrid Fuzzing Machine Learning Model Checking Concurrency Testing Vulnerability
Fachzeitschrift
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26

Self-Debugging AI: A Comprehensive Analysis of Claude 4.1 Sonnet's Code Generation and Error Resolution Capabilities
Harshith Vaddiparthy

Automated software engin... artificial intelligence machine learning debugging
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27

Análisis comparativo de IDEs enfocados a Machine Learning
Sánchez Arteaga, José Roberto ; Sánchez Arteaga, José Roberto
Esprint Investigación, ISSN 2960-8317, Vol. 2, Nº. 2, 2023 (Ejemplar dedicado a: Data and Artificial Intelligence.), pags. 5-13

E-Ressource
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28

A Comparative Hybrid Approach for Python Bug Detection Using Syntactic Features, Random Forest, and Neural Network
Bahtiar Imran ; Erfan Wahyudi ; Selamet Riadi ; et al.
CommIT Journal, Vol 19, Iss 2 (2025)

Bug Detection Syntactic Features Random Forest Neural Network Telecommunication TK5101-6720 …
Fachzeitschrift
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29

ChatDBG: An AI-Powered Debugging Assistant
Levin, Kyla ; van Kempen, Nicolas ; Berger, Emery D. ; et al.

E-Ressource
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30

Fault analysis of edge router Linux system message log files with machine learning
Hernández Orallo, José ; Szucs, Milan ; Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació ; et al.

E-Ressource
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32

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34

Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Cheng, Ching-An ; Nie, Allen ; Swaminathan, Adith

Computer Science - Artif... Computer Science - Machi...
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35

GraMuS: Boosting statement-level fault localization via graph representation and multimodal information.
Huang, Ruishi ; Yang, Binbin ; Wu, Shumei ; et al.
Journal of Systems & Software. Mar2026, Vol. 233, pN.PAG-N.PAG. 1p.

DEFECT tracking (Compute... SOFTWARE engineering EMPIRICAL research REPRESENTATIONS of graph... DEBUGGING PERIODICAL articles …
Fachzeitschrift
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36

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
Wang, Hanrui ; Liu, Pengyu ; Cheng, Jinglei ; et al.

Quantum Physics Computer Science - Artif... Computer Science - Hardw... Computer Science - Emerg... Computer Science - Machi...
Report
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37

Landscape of R packages for eXplainable Artificial Intelligence
Maksymiuk, Szymon ; Gosiewska, Alicja ; Biecek, Przemyslaw

Computer Science - Machi... Statistics - Machine Lea...
Report
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38

Practical notes on building molecular graph generative models
Rocío Mercado ; Tobias Rastemo ; Edvard Lindelöf ; et al.
Applied AI Letters, Vol 1, Iss 2, Pp n/a-n/a (2020)

code development code optimization deep learning drug discovery generative models graph neural networks …
Fachzeitschrift
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39

UDF-Centric Dataflow Systems for Supporting User-Defined Functions in Collaborative Data Science, AI, and ML
Huang, Yicong

Computer science Artificial intelligence Computer engineering data management data-processing engine dataflow system …
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