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
Positions
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Professor 2001–presentUniversity of Saskatchewan Computer Science ORCID
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ProfessorUniversity of Arkansas for Medical Sciences ORCID
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
- Answering questions about unanswered questions of Stack Overflow
- Mining duplicate questions in stack overflow
- CLCDSA: Cross Language Code Clone Detection using Syntactical Features and API Documentation
- Comparative stability of cloned and non-cloned code
- On the Effectiveness of Simhash for Detecting Near-Miss Clones in Large Scale Software Systems
Showing 5 of 133 shared publications
- CLCDSA: Cross Language Code Clone Detection using Syntactical Features and API Documentation
- Investigating Context Adaptation Bugs in Code Clones
- A universal cross language software similarity detector for open source software categorization
- An empirical study on bug propagation through code cloning
- Associating Code Clones with Association Rules for Change Impact Analysis
Showing 5 of 57 shared publications
- Comparative stability of cloned and non-cloned code
- An empirical study on clone stability
- An Empirical Study of the Impacts of Clones in Software Maintenance
- SPCP-Miner: A tool for mining code clones that are important for refactoring or tracking
- Automatic Identification of Important Clones for Refactoring and Tracking
Showing 5 of 46 shared publications
- Answering questions about unanswered questions of Stack Overflow
- Mining duplicate questions in stack overflow
- Evaluating Code Clone Genealogies at Release Level: An Empirical Study
- CSCC: Simple, Efficient, Context Sensitive Code Completion
- LHDiff: A Language-Independent Hybrid Approach for Tracking Source Code Lines
Showing 5 of 19 shared publications
- Diabetic Retinopathy Classification Using a Modified Xception Architecture
- Deep transfer learning based model for colorectal cancer histopathology segmentation: A comparative study of deep pre-trained models
- Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach
- Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks
- Breast Cancer Diagnosis with Transfer Learning and Global Pooling
Showing 5 of 13 shared publications
- Diabetic Retinopathy Classification Using a Modified Xception Architecture
- Deep transfer learning based model for colorectal cancer histopathology segmentation: A comparative study of deep pre-trained models
- Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach
- Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks
- Breast Cancer Diagnosis with Transfer Learning and Global Pooling
Showing 5 of 12 shared publications
- Source transformation in software engineering using the TXL transformation system
- Agile Parsing in TXL
- Processing software source text in automated design recovery and transformation
- Using design recovery techniques to transform legacy systems
- Grammar programming in TXL
Showing 5 of 11 shared publications
- Comparative stability of cloned and non-cloned code
- Evaluating Code Clone Genealogies at Release Level: An Empirical Study
- An automatic framework for extracting and classifying near-miss clone genealogies
- A discriminative model approach for suggesting tags automatically for Stack Overflow questions
- An Empirical Study of the Impacts of Clones in Software Maintenance
Showing 5 of 10 shared publications
- Requirements engineering and the creative process in the video game industry
- Emotional Requirements in Video Games
- Emotional Requirements
- An Introduction to Experience Requirements
- A report on select research opportunities in requirements engineering for videogame development
Showing 5 of 10 shared publications
- Requirements engineering and the creative process in the video game industry
- Emotional Requirements in Video Games
- Emotional Requirements
- An Introduction to Experience Requirements
- A report on select research opportunities in requirements engineering for videogame development
Showing 5 of 10 shared publications
- Towards a Reference Architecture for Cloud-Based Plant Genotyping and Phenotyping Analysis Frameworks
- An Exploratory Study on Automatic Architectural Change Analysis Using Natural Language Processing Techniques
- A survey of software architectural change detection and categorization techniques
- Semantic Slicing of Architectural Change Commits
- Micro-level Modularity of Computaion-intensive Programs in Big Data Platforms: A Case Study with Image Data
Showing 5 of 10 shared publications
- Diabetic Retinopathy Classification Using a Modified Xception Architecture
- Deep transfer learning based model for colorectal cancer histopathology segmentation: A comparative study of deep pre-trained models
- Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach
- Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks
- Breast Cancer Diagnosis with Transfer Learning and Global Pooling
Showing 5 of 10 shared publications
- Source transformation in software engineering using the TXL transformation system
- Agile Parsing in TXL
- Processing software source text in automated design recovery and transformation
- Using design recovery techniques to transform legacy systems
- Grammar programming in TXL
Showing 5 of 8 shared publications
- Source transformation in software engineering using the TXL transformation system
- Agile Parsing in TXL
- Processing software source text in automated design recovery and transformation
- Using design recovery techniques to transform legacy systems
- Grammar programming in TXL
Showing 5 of 8 shared publications
- Backports
- ReBack: recommending backports in social coding environments
- A Study of Backporting Code in Open-Source Software for Characterizing Changesets
- Optimized Storing of Workflow Outputs through Mining Association Rules
- A Data Management Scheme for Micro-Level Modular Computation-Intensive Programs in Big Data Platforms
Showing 5 of 8 shared publications
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