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Systematic Literature Review

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Showing 26–50 of 337 papers

TitleStatusHype
A systematic literature review of unsupervised learning algorithms for anomalous traffic detection based on flows—0
Human-AI Experience in Integrated Development Environments: A Systematic Literature Review—0
Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review—0
A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems—0
Systematic Literature Review on Clinical Trial Eligibility Matching—0
Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety—0
Bridging Gaps in Natural Language Processing for Yorùbá: A Systematic Review of a Decade of Progress and Prospects—0
From Maneuver to Mishap: A Systematic Literature Review on U-Turn Safety Risks—0
A Survey on Vulnerability Prioritization: Taxonomy, Metrics, and Research Challenges—0
AI-driven Personalized Privacy Assistants: a Systematic Literature ReviewCode0
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review—0
A foundation model for human-AI collaboration in medical literature miningCode4
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review—0
Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature ReviewCode0
AI-based Identity Fraud Detection: A Systematic Review—0
Building Symbiotic AI: Reviewing the AI Act for a Human-Centred, Principle-Based Framework—0
A Systematic Literature Review on Deep Learning-based Depth Estimation in Computer Vision—0
Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and BenchmarksCode1
The Role of Machine Learning in Congenital Heart Disease Diagnosis: Datasets, Algorithms, and Insights—0
Self-Adaptive ERP: Embedding NLP into Petri-Net creation and Model Matching—0
State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects—0
A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application—0
ELEVATE-GenAI: Reporting Guidelines for the Use of Large Language Models in Health Economics and Outcomes Research: an ISPOR Working Group on Generative AI Report—0
Navigating AI to Unpack Youth Privacy Concerns: An In-Depth Exploration and Systematic Review—0
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools—0
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