# Authors Title Details Date Pdf/Links/Bibtex Keywords
11Vilone G., Longo L. Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees eXplainable Artificial Intelligence, The World Conference (xAI-2025) 2025 Logical Analysis Graph Theory Graph Theory in Probability Machine Learning Reasoning Symbolic AI Explainable AI Surrogate models Computational Argumentation Rule-based systems Decision-trees Dense Neural Networks Deep learning
10.1007/978-3-032-08333-3_5
10Raufi B., Finnegan C., Longo L. A Comparative Analysis of SHAP, LIME, ANCHORS, and DICE for Interpreting a Dense Neural Network in Credit Card Fraud Detection eXplainable Artificial Intelligence, The World Conference (xAI-2024) 2024 Explainable Artificial Intelligence Credit Card Fraud Detection Interpretability methods comparison SHapley Additive exPlanations Local Interpretable Model-agnostic Explanation ANCHORS Diverse Counterfactual Explanations
10.1007/978-3-031-63803-9_20
9Vilone G., Longo L.A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods Frontiers in Artificial Intelligence 2021 explainable artificial intelligence rule extraction method comparison and evaluation metrics of explainability method automatic ranking artificial intelligence explainability
10.3389/frai.2021.717899
8Vilone G., Rizzo L., Longo L.A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence Proceedings for the 28th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7-8, 2020 2020 Explainable artificial intelligence Rule extraction Method comparison evaluation
7Orru G., Longo L.Direct and Constructivist Instructional Design: A Comparison of Efficiency Using Mental Workload and Task Performance 4th International Symposium on Human Mental Workload: Models and Applications 2020 Cognitive load theory Mental workload Efficiency Direct instruction methods Inquiry methods
10.1007/978-3-030-62302-9_7
6Orru G, Longo L.Direct instruction and its extension with a community of inquiry: A comparison of mental workload, performance and efficiency CSEDU 2019 - Proceedings of the 11th International Conference on Computer Supported Education 2019 Direct Instruction Community of Inquiry Efficiency Mental Workload Cognitive Load Theory Instructional Design Education
10.5220/0007757204360444
5Rogers N., Longo L.A Comparison on the Classification of Short-text Documents Using Latent Dirichlet Allocation and Formal Concept Analysis 25th Irish Conference on Artificial Intelligence and Cognitive Science 2017 Short-text Documents Classification Machine Learning Latent Dirichlet Allocation Formal Concept Analysis Artificial Intelligence Modeling
4Rizzo L., Longo L.Representing and inferring mental workload via defeasible reasoning: a comparison with the NASA Task Load Index and the Workload Profile 1st Workshop on Advances In Argumentation In Artificial Intelligence 2017 Mental Workload Modeling Defeasible Reasoning Nasa Task Load Index Workload Profile Artificial Intelligence Modeling
3Moustafa K., Luz S., Longo L.Assessment of Mental Workload: A Comparison of Machine Learning Methods and Subjective Assessment Techniques International Symposium on Human Mental Workload: Models and Applications 2017 Mental Workload Machine Learning Subjective assessment techniques Modeling
2Rizzo L., Dondio P. Delany S.J., Longo L.Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile IFIP International Conference on Artificial Intelligence Applications and Innovations 2016 Rule-based Expert System Mental Workload Heuristics Modeling Artificial Intelligence
1Longo L., Hederman L.Argumentation theory for decision support in health-care: a comparison with machine learning International Conference on Brain and Health Informatics 2013 Argumentation Theory Decision Support Health-care Defeasible Reasoning Machine Learning Artificial Intelligence Modeling
# Authors Title Details Date Pdf/Links/Bibtex Keywords