Biography and Research Information
OverviewAI-generated summary
Kevin A. Schneider is a Professor at the University of Arkansas for Medical Sciences with a research focus that spans machine learning, software engineering, and medical applications. His work investigates the application of advanced computational techniques to complex problems, including cancer detection and software development processes.
Schneider's recent publications demonstrate a strong engagement with artificial intelligence, particularly in the areas of deep learning for medical image analysis, interpretability of AI models, and natural language processing for software engineering tasks. He has explored the use of pre-trained deep learning models for segmenting histopathology images in colorectal cancer and developed methods for enhancing AI model interpretability. His research also extends to automated user story generation and UML sequence diagram derivation using large language models, addressing efficiency in software development.
With a career marked by significant scholarly output, Schneider has authored 217 publications and accumulated over 4,000 citations, evidenced by an h-index of 33. He is recognized as a highly cited researcher, indicating a substantial impact within his fields of study. His active research agenda, with recent publications extending into 2025, highlights his continued contributions to computational science and its interdisciplinary applications.
Metrics
- h-index: 33
- Publications: 217
- Citations: 4,004
Selected Publications
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Are Classical Clone Detectors Good Enough for the AI Era? (2025)
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A Collaborative Framework for Cross-Domain Scientific Experiments for Society 5.0 (2025)
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Quantum software engineering and potential of quantum computing in software engineering research: a review (2025)
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Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study (2025)
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Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review (2025)
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C-SHAP: A Hybrid Method for Fast and Efficient Interpretability (2025)
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Integrating Feedback From Application Reviews Into Software Development (2024)
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Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction (2024)
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Take Loads Off Your Developers: Automated User Story Generation using Large Language Model (2024)
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Review-Pulse: A Dashboard for Managing User Feedback for Android Applications (2024)
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Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. a Rule-Based Approach (2024)
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Reproducibility Challenges of External Computational Experiments in Scientific Workflow Management Systems (2024)
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A Study of Backporting Code in Open-Source Software for Characterizing Changesets (2024)
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ReBack: recommending backports in social coding environments (2024)
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Active Clones: Source Code Clones at Runtime (2024)
Collaboration Network
Top Collaborators
- C-SHAP: A Hybrid Method for Fast and Efficient Interpretability
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- Take Loads Off Your Developers: Automated User Story Generation using Large Language Model
- Late Propagation in Near-Miss Clones: An Empirical Study
- Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. a Rule-Based Approach
Showing 5 of 42 shared publications
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- Take Loads Off Your Developers: Automated User Story Generation using Large Language Model
- Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. a Rule-Based Approach
- Quantum software engineering and potential of quantum computing in software engineering research: a review
- A survey of software architectural change detection and categorization techniques
Showing 5 of 28 shared publications
- Late Propagation in Near-Miss Clones: An Empirical Study
- FLeCCS: A Technique for Suggesting Fragment-Level Similar Co-change Candidates
- Evaluating the performance of clone detection tools in detecting cloned co-change candidates
- ID-correspondence: a measure for detecting evolutionary coupling
- A Testing Approach While Re-engineering Legacy Systems: An Industrial Case Study
Showing 5 of 6 shared publications
- Backports
- How does quality deviate in stable releases by backporting?
- ReBack: recommending backports in social coding environments
- Release conventions of open‐source software: An exploratory study
- Backport Dataset
Showing 5 of 6 shared publications
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- Unveiling the Potential of Large Language Models in Generating Semantic and Cross-Language Clones
- Unveiling the potential of large language models in generating semantic and cross-language clones
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
Showing 5 of 6 shared publications
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- Unveiling the Potential of Large Language Models in Generating Semantic and Cross-Language Clones
- Unveiling the potential of large language models in generating semantic and cross-language clones
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
Showing 5 of 6 shared publications
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- Unveiling the Potential of Large Language Models in Generating Semantic and Cross-Language Clones
- Unveiling the potential of large language models in generating semantic and cross-language clones
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
- GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
Showing 5 of 6 shared publications
- A survey of software architectural change detection and categorization techniques
- Semantic Slicing of Architectural Change Commits
- A Survey of Software Architectural Change Detection and Categorization Techniques
- Semantic Slicing of Architectural Change Commits: Towards Semantic Design Review
- Large Scale Image Registration Utilizing Data-Tunneling in the MapReduce Cluster
- Quantum software engineering and potential of quantum computing in software engineering research: a review
- Evaluating the performance of clone detection tools in detecting cloned co-change candidates
- Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study
- Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction
- Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review
- Extensibility Challenges of Scientific Workflow Management Systems
- A Domain-Specific Composition Environment for Provenance Query of Scientific Workflows
- Reproducibility Challenges of External Computational Experiments in Scientific Workflow Management Systems
- A Collaborative Framework for Cross-Domain Scientific Experiments for Society 5.0
- Review-Pulse: A Dashboard for Managing User Feedback for Android Applications
- Integrating Feedback From Application Reviews Into Software Development
- Code Smells and Readability: Their Impact on User Feedback in Android Apps
- Code Smells and Readability: Their Impact on User Feedback in Android Apps
- Review-Pulse: A Dashboard for Managing User Feedback for Android Applications
- Integrating Feedback From Application Reviews Into Software Development
- Code Smells and Readability: Their Impact on User Feedback in Android Apps
- Code Smells and Readability: Their Impact on User Feedback in Android Apps
- Quantum software engineering and potential of quantum computing in software engineering research: a review
- Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study
- Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction
- Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review
- Semantic Slicing of Architectural Change Commits
- Release conventions of open‐source software: An exploratory study
- Semantic Slicing of Architectural Change Commits: Towards Semantic Design Review
- Putting Table Cartograms into Practice
- ContourDiff: Revealing Differential Trends in Spatiotemporal Data
- SET-STAT-MAP: Extending Parallel Sets for Visualizing Mixed Data
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