Papers Explainable artificial intelligence
“Explainable artificial intelligence” 태그가 달린 논문 971편 · 필터 해제
Explainable Artificial Intelligence for identifying profitability predictors in Financial Statements
The interconnected nature of the economic variables influencing a firm's performance makes the prediction of a company's earning trend a challenging task. Existing methodologies often rely on simplistic models and financ…
Explainable artificial intelligenceExact Computation of Any-Order Shapley Interactions for Graph Neural Networks
Albeit the ubiquitous use of Graph Neural Networks (GNNs) in machine learning (ML) prediction tasks involving graph-structured data, their interpretability remains challenging. In explainable artificial intelligence (XAI…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Towards Explainable Multimodal Depression Recognition for Clinical Interviews
Recently, multimodal depression recognition for clinical interviews (MDRC) has recently attracted considerable attention. Existing MDRC studies mainly focus on improving task performance and have achieved significant dev…
Decision MakingDepression DetectionExplainable artificial intelligenceMedical Diagnosis+3Ensuring Medical AI Safety: Explainable AI-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data
Deep neural networks are increasingly employed in high-stakes medical applications, despite their tendency for shortcut learning in the presence of spurious correlations, which can have potentially fatal consequences in …
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
In this paper we focus on the opacity issue of sub-symbolic machine learning predictors by promoting two complementary activities, namely, symbolic knowledge extraction (SKE) and injection (SKI) from and into sub-symboli…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Systematic Literature ReviewDLinear-based Prediction of Remaining Useful Life of Lithium-Ion Batteries: Feature Engineering through Explainable Artificial Intelligence
Accurate prediction of the Remaining Useful Life (RUL) of lithium-ion batteries is essential for ensuring safety, reducing maintenance costs, and optimizing usage. However, predicting RUL is challenging due to the nonlin…
Explainable artificial intelligenceFeature Engineeringfeature selectionPredictionEVolutionary Independent DEtermiNistiC Explanation
The widespread use of artificial intelligence deep neural networks in fields such as medicine and engineering necessitates understanding their decision-making processes. Current explainability methods often produce incon…
DiagnosticExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Genre classification+1Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests
This paper proposes a method for measuring conditional feature importance via generative modeling. In explainable artificial intelligence (XAI), conditional feature importance assesses the impact of a feature on a predic…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Feature ImportanceExplainable artificial intelligence (XAI): from inherent explainability to large language models
Artificial Intelligence (AI) has continued to achieve tremendous success in recent times. However, the decision logic of these frameworks is often not transparent, making it difficult for stakeholders to understand, inte…
Autonomous DrivingExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Enhancing AI Transparency: XRL-Based Resource Management and RAN Slicing for 6G ORAN Architecture
This research introduces an advanced Explainable Artificial Intelligence (XAI) framework designed to elucidate the decision-making processes of Deep Reinforcement Learning (DRL) agents in ORAN architectures. By offering …
Decision MakingDeep Reinforcement LearningExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)+1Polynomial Threshold Functions of Bounded Tree-Width: Some Explainability and Complexity Aspects
The tree-width of a multivariate polynomial is the tree-width of the hypergraph with hyperedges corresponding to its terms. Multivariate polynomials of bounded tree-width have been studied by Makowsky and Meer as a new s…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing
Causal inference has recently gained notable attention across various fields like biology, healthcare, and environmental science, especially within explainable artificial intelligence (xAI) systems, for uncovering the ca…
Causal InferenceExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Federated LearningIntegrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic
Encrypted network communication ensures confidentiality, integrity, and privacy between endpoints. However, attackers are increasingly exploiting encryption to conceal malicious behavior. Detecting unknown encrypted mali…
Ensemble LearningExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Malware DetectionDetecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity
This study seeks to enhance academic integrity by providing tools to detect AI-generated content in student work using advanced technologies. The findings promote transparency and accountability, helping educators mainta…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text
The development of Generative AI Large Language Models (LLMs) raised the alarm regarding identifying content produced through generative AI or humans. In one case, issues arise when students heavily rely on such tools in…
Binary ClassificationExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Feature ImportanceFound in Translation: semantic approaches for enhancing AI interpretability in face verification
The increasing complexity of machine learning models in computer vision, particularly in face verification, requires the development of explainable artificial intelligence (XAI) to enhance interpretability and transparen…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Face VerificationFitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
Counterfactual examples are widely used in natural language processing (NLP) as valuable data to improve models, and in explainable artificial intelligence (XAI) to understand model behavior. The automated generation of …
counterfactualExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Feature ImportanceExtending XReason: Formal Explanations for Adversarial Detection
Explainable Artificial Intelligence (XAI) plays an important role in improving the transparency and reliability of complex machine learning models, especially in critical domains such as cybersecurity. Despite the preval…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Enhancing Cancer Diagnosis with Explainable & Trustworthy Deep Learning Models
This research presents an innovative approach to cancer diagnosis and prediction using explainable Artificial Intelligence (XAI) and deep learning techniques. With cancer causing nearly 10 million deaths globally in 2020…
Decision MakingDeep LearningExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)The Role of XAI in Transforming Aeronautics and Aerospace Systems
Recent advancements in Artificial Intelligence (AI) have transformed decision-making in aeronautics and aerospace. These advancements in AI have brought with them the need to understand the reasons behind the predictions…
Decision MakingExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)