| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 11 | Vilone 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 | @InProceedings{ViloneLongo2025, author="Vilone, Giulia and Longo, Luca", editor="Guidotti, Riccardo and Schmid, Ute and Longo, Luca", title="Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees", booktitle="Explainable Artificial Intelligence", year="2026", publisher="Springer Nature Switzerland", address="Cham", pages="89--112", isbn="978-3-032-08333-3" } [Close]
| 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 | Raufi 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 |
@InProceedings{10.1007/978-3-031-63803-9_20, author="Raufi, Bujar and Finnegan, Ciaran and Longo, Luca", editor="Longo, Luca and Lapuschkin, Sebastian and Seifert, Christin", title="A Comparative Analysis of SHAP, LIME, ANCHORS, and DICE for Interpreting a Dense Neural Network in Credit Card Fraud Detection", booktitle="Explainable Artificial Intelligence", year="2024", publisher="Springer Nature Switzerland", address="Cham", pages="365--383", isbn="978-3-031-63803-9" } [Close]
| Explainable Artificial Intelligence •
Credit Card Fraud Detection •
Interpretability •
methods comparison •
SHapley Additive exPlanations •
Local Interpretable •
Model-agnostic Explanation •
ANCHORS •
Diverse Counterfactual Explanations |
| 9 | Vilone G., Longo L. | A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods | Frontiers in Artificial Intelligence | 2021 |
@ARTICLE{ViloneLongo2021, AUTHOR={Vilone, Giulia and Longo, Luca}, TITLE={A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods}, JOURNAL={Frontiers in Artificial Intelligence}, VOLUME={4}, PAGES={160}, YEAR={2021}, URL={https://www.frontiersin.org/article/10.3389/frai.2021.717899}, DOI={10.3389/frai.2021.717899}, ISSN={2624-8212} } [Close]
| explainable artificial intelligence • rule extraction • method comparison and evaluation • metrics of
explainability • method automatic ranking • artificial intelligence • explainability |
| 8 | Vilone 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 |
@inproceedings{DBLP:conf/aics/ViloneRL20, author = {Giulia Vilone and Lucas Rizzo and Luca Longo}, editor = {Luca Longo and Lucas Rizzo and Elizabeth Hunter and Arjun Pakrashi}, title = {A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence}, booktitle = {Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020}, series = {{CEUR} Workshop Proceedings}, volume = {2771}, pages = {85--96}, publisher = {CEUR-WS.org}, year = {2020}, url = {http://ceur-ws.org/Vol-2771/AICS2020\_paper\_33.pdf} } [Close]
| Explainable artificial intelligence • Rule extraction • Method • comparison • evaluation |
| 7 | Orru 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 |
@InProceedings{10.1007/978-3-030-62302-9_7, author="Orru, Giuliano and Longo, Luca", editor="Longo, Luca and Leva, Maria Chiara", title="Direct and Constructivist Instructional Design: A Comparison of Efficiency Using Mental Workload and Task Performance", booktitle="Human Mental Workload: Models and Applications", year="2020", publisher="Springer International Publishing", address="Cham", pages="99--123", isbn="978-3-030-62302-9" } [Close]
| Cognitive load theory • Mental workload • Efficiency • Direct instruction methods • Inquiry methods |
| 6 | Orru 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 |
@inproceedings{OrruL19, author = {Giuliano Orru and Luca Longo}, title = {Direct Instruction and Its Extension with a Community of Inquiry: {A} Comparison of Mental Workload, Performance and Efficiency}, booktitle = {Proceedings of the 11th International Conference on Computer Supported Education, {CSEDU} 2019, Heraklion, Crete, Greece, May 2-4, 2019, Volume 1.}, pages = {436--444}, year = {2019}, url = {https://doi.org/10.5220/0007757204360444}, doi = {10.5220/0007757204360444}, } [Close]
| Direct Instruction • Community of Inquiry • Efficiency • Mental Workload • Cognitive Load Theory • Instructional Design • Education |
| 5 | Rogers 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 |
@inproceedings{RogersL17Comparison, author = {Noel Rogers and Luca Longo}, title = {A Comparison on the Classification of Short-text Documents Using Latent Dirichlet Allocation and Formal Concept Analysis}, booktitle = {Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7 - 8, 2017.}, pages = {50--62}, year = {2017} } [Close]
| Short-text Documents • Classification • Machine Learning • Latent Dirichlet Allocation • Formal Concept Analysis • Artificial Intelligence • Modeling |
| 4 | Rizzo 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 |
@inproceedings{rizzo2017representing, title={Representing and inferring mental workload via defeasible reasoning: a comparison with the NASA Task Load Index and the Workload Profile}, author={Rizzo, Lucas Middeldorf and Longo, Luca}, booktitle={Proceedings of the 1st Workshop on Advances In Argumentation In Artificial Intelligence AI^3@AI*IA}, year={2017}, publisher={CEURS} } [Close]
| Mental Workload Modeling • Defeasible Reasoning • Nasa Task Load Index • Workload Profile • Artificial Intelligence • Modeling |
| 3 | Moustafa 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 |
@inproceedings{moustafa2017assessment, title={Assessment of mental workload: a comparison of machine learning methods and subjective assessment techniques}, author={Moustafa, Karim and Luz, Saturnino and Longo, Luca}, booktitle={International Symposium on Human Mental Workload: Models and Applications}, pages={30--50}, year={2017}, organization={Springer} } [Close]
| Mental Workload • Machine Learning • Subjective assessment techniques • Modeling |
| 2 | Rizzo 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 |
@inproceedings{rizzo2016modeling, title={Modeling mental workload via rule-based expert system: a comparison with NASA-TLX and workload profile}, author={Rizzo, Lucas and Dondio, Pierpaolo and Delany, Sarah Jane and Longo, Luca}, booktitle={IFIP International Conference on Artificial Intelligence Applications and Innovations}, pages={215--229}, year={2016}, organization={Springer} } [Close]
| Rule-based Expert System • Mental Workload • Heuristics • Modeling • Artificial Intelligence |
| 1 | Longo L., Hederman L. | Argumentation theory for decision support in health-care: a comparison with machine learning | International Conference on Brain and Health Informatics | 2013 |
@inproceedings{longo2013argumentation, title={Argumentation theory for decision support in health-care: a comparison with machine learning}, author={Longo, Luca and Hederman, Lucy}, booktitle={International Conference on Brain and Health Informatics}, pages={168--180}, year={2013}, organization={Springer} } [Close]
| Argumentation Theory • Decision Support • Health-care • Defeasible Reasoning • Machine Learning • Artificial Intelligence • Modeling |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |