Image de couverture de livre

Learning-to-Explain through 20Q Gaming: An Explainable Recommender for Cybersecurity Education

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Nusrat, Mary, Bhuiyan, Sarfuddin, Hossain, Gahangir
Format:	Preprint
Publié:	2026
Sujets:	Computers and Society Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab
par: Okpala, Ebuka, et autres
Publié: (2024)

Explaining How Quantization Disparately Skews a Model
par: Bellam, Abhimanyu, et autres
Publié: (2025)

OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities
par: Tonwe, Mary
Publié: (2025)

BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables
par: Binkyte, Ruta, et autres
Publié: (2023)

Epileptic Seizure Detection in Separate Frequency Bands Using Feature Analysis and Graph Convolutional Neural Network (GCN) from Electroencephalogram (EEG) Signals
par: Jibon, Ferdaus Anam, et autres
Publié: (2026)

Transparent AI: The Case for Interpretability and Explainability
par: Ramachandram, Dhanesh, et autres
Publié: (2025)

The New Frontier of Cybersecurity: Emerging Threats and Innovations
par: Dave, Daksh, et autres
Publié: (2023)

Robustness and Cybersecurity in the EU Artificial Intelligence Act
par: Nolte, Henrik, et autres
Publié: (2025)

Deep Learning for Educational Data Science
par: Pinto, Juan D., et autres
Publié: (2024)

Explainable AI: Learning from the Learners
par: Vinuesa, Ricardo, et autres
Publié: (2026)

Protecting Student Mental Health with a Context-Aware Machine Learning Framework for Stress Monitoring
par: Ovi, Md Sultanul Islam, et autres
Publié: (2025)

FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition
par: Gala, Dalia, et autres
Publié: (2024)

FNDEX: Fake News and Doxxing Detection with Explainable AI
par: Sallami, Dorsaf, et autres
Publié: (2024)

MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation
par: Wang, Ziheng, et autres
Publié: (2024)

Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
par: Deck, Luca, et autres
Publié: (2024)

Explainable AI Systems Must Be Contestable: Here's How to Make It Happen
par: Moreira, Catarina, et autres
Publié: (2025)

EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
par: Moerland, Thomas M., et autres
Publié: (2023)

BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AI
par: Shiferaw, Natenaile Asmamaw, et autres
Publié: (2024)

Explainable AI for Mental Health Emergency Returns: Integrating LLMs with Predictive Modeling
par: Ahmed, Abdulaziz, et autres
Publié: (2025)

SHAP Distance: An Explainability-Aware Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data
par: Yu, Ke, et autres
Publié: (2025)

Exam Readiness Index (ERI): A Theoretical Framework for a Composite, Explainable Index
par: Verma, Ananda Prakash
Publié: (2025)

TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction
par: Luo, Yan, et autres
Publié: (2024)

Explainable AI for Predicting and Understanding Mathematics Achievement: A Cross-National Analysis of PISA 2018
par: Liu, Liu, et autres
Publié: (2025)

Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication
par: Keenan, Bernard, et autres
Publié: (2023)

Influence of Recommender Systems on Users: A Dynamical Systems Analysis
par: Lankireddy, Prabhat, et autres
Publié: (2024)

Privacy-Preserving Personalization in Education: A Federated Recommender System for Student Performance Prediction
par: Tertulino, Rodrigo, et autres
Publié: (2025)

Enhancing Learning Path Recommendation via Multi-task Learning
par: Nasrin, Afsana, et autres
Publié: (2025)

Water Demand Forecasting of District Metered Areas through Learned Consumer Representations
par: Ramachandran, Adithya, et autres
Publié: (2025)

Enhancing Manufacturing Quality Prediction Models through the Integration of Explainability Methods
par: Gross, Dennis, et autres
Publié: (2024)

Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments
par: Švábenský, Valdemar, et autres
Publié: (2024)

Adopting Explainable-AI to investigate the impact of urban morphology design on energy and environmental performance in dry-arid climates
par: Eshraghi, Pegah, et autres
Publié: (2024)

Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning
par: Taib, Musa, et autres
Publié: (2024)

Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers
par: Oesterling, Alex, et autres
Publié: (2024)

Inference Energy and Latency in AI-Mediated Education: A Learning-per-Watt Analysis of Edge and Cloud Models
par: Khemani, Kushal
Publié: (2026)

Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models
par: Era, Jalisha Jashim, et autres
Publié: (2025)

Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models
par: Zhang, Andy K., et autres
Publié: (2024)

LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory
par: Jia, Jingru, et autres
Publié: (2025)

Enhancing Math Learning in an LMS Using AI-Driven Question Recommendations
par: Råmunddal, Justus
Publié: (2025)

From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing
par: DeAndres-Tame, Ivan, et autres
Publié: (2024)

Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
par: Mersha, Melkamu, et autres
Publié: (2024)