| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 14 | Manzoor A., Qureshi M.A., Kidney E., Longo L. | e-profits: a business-aligned evaluation metric for profit-sensitive customer churn prediction. | International Journal of Data Science and Analytics | 2026 |
| Churn prediction •
Machine learning • Artificial intelligence •
Profit maximising • churn prediction •
Customer relationship management |
| 13 | Kumar S., Suiter J., Longo L. | Advancing Deliberative Discourse Measurement: The Intersection with Computational Abstract Argumentation in Discourse Quality Evaluations | Systems | 2025 |
@Article{KumarLongo2025, AUTHOR = {Kumar, Sanjay and Suiter, Jane and Longo, Luca}, TITLE = {Advancing Deliberative Discourse Measurement: The Intersection with Computational Abstract Argumentation in Discourse Quality Evaluations}, JOURNAL = {Systems}, VOLUME = {13}, YEAR = {2025}, NUMBER = {3}, ARTICLE-NUMBER = {204}, URL = {https://www.mdpi.com/2079-8954/13/3/204}, ISSN = {2079-8954}, DOI = {10.3390/systems13030204} } [Close]
| argumentation framework • discourse • defeasible reasoning • deliberation • argumentation • abstract semantics • deliberation quality |
| 12 | Hryniewska-Guzik W., Longo L., Biecek P. | CNN-Based Explanation Ensembling for Dataset, Representation and Explanations Evaluation | eXplainable Artificial Intelligence, The World Conference (xAI-2024) | 2024 |
@InProceedings{10.1007/978-3-031-63797-1_18, author="Hryniewska-Guzik, Weronika and Longo, Luca and Biecek, Przemys{\l}aw", editor="Longo, Luca and Lapuschkin, Sebastian and Seifert, Christin", title="CNN-Based Explanation Ensembling for Dataset, Representation and Explanations Evaluation", booktitle="Explainable Artificial Intelligence", year="2024", publisher="Springer Nature Switzerland", address="Cham", pages="346--368", isbn="978-3-031-63797-1" } [Close]
| Explainable Artificial Intelligence •
XAI •
Convolutional Neural Network •
model evaluation •
data evaluation •
representation learning •
ensemble •
deep learning •
machine learning |
| 11 | Vilone G., Longo L. | Development of a Human-Centred Psychometric Test for the Evaluation of Explanations Produced by XAI Methods | eXplainable Artificial Intelligence, The World Conference (xAI-2023) | 2023 | @InProceedings{ViloneLongo2023, author="Vilone, Giulia and Longo, Luca", editor="Longo, Luca", title="Development of a Human-Centred Psychometric Test for the Evaluation of Explanations Produced by XAI Methods", booktitle="Explainable Artificial Intelligence", year="2023", publisher="Springer Nature Switzerland", address="Cham", pages="205--232", isbn="978-3-031-44070-0" } [Close]
| Explainable Artificial Intelligence • Human-centred evaluation • Psychometrics • Machine Learning • Deep Learning • Explainability |
| 10 | Vilone G. Longo L. | A global model-agnostic XAI method for the automatic formation of an abstract argumentation framework and its objective evaluation. | 1st Int. Workshop on Argumentation for eXplainable AI (with 9th Int. Conference on Computational Models of Argument, COMMA 2022) | 2022 | @inproceedings{ViloneLongo2022XAIArg, author = {Giulia Vilone and Luca Longo}, title = {A global model-agnostic XAI method for the automatic formation of an abstract argumentation framework and its objective evaluation.}, booktitle = {1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022)}, series = {{CEUR} Workshop Proceedings}, volume = {3209}, publisher = {CEUR-WS.org}, year = {2022}, url = {http://ceur-ws.org/Vol-3209/2119.pdf} } [Close]
| Explainable artificial intelligence • Argumentation • Non-monotonic reasoning • Method evaluation • Metrics
of explainability |
| 9 | Raufi B., Longo L. | An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload | Frontiers Neuroinformatics | 2022 |
@article{RaufiLongo2022, author = {Bujar Raufi and Luca Longo}, title = {An Evaluation of the {EEG} Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload}, journal = {Frontiers Neuroinformatics}, volume = {16}, pages = {861967}, year = {2022}, url = {https://doi.org/10.3389/fninf.2022.861967}, doi = {10.3389/fninf.2022.861967} } [Close]
| human mental workload • EEG band ratios • alpha-to-theta ratios • theta-to-alpha ratios • machine learning • classification • Electroencephalography |
| 8 | Vilone G., Longo L. | A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence. | Artificial Intelligence Applications and Innovations - 18th IFIP WG 12.5 International Conference | 2022 |
@inproceedings{ViloneLongo2022, author = {Giulia Vilone and Luca Longo}, editor = {Ilias Maglogiannis and Lazaros Iliadis and John Macintyre and Paulo Cortez}, title = {A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence}, booktitle = {Artificial Intelligence Applications and Innovations - 18th {IFIP} {WG} 12.5 International Conference, {AIAI} 2022, Hersonissos, Crete, Greece, June 17-20, 2022, Proceedings, Part {I}}, series = {{IFIP} Advances in Information and Communication Technology}, volume = {646}, pages = {447--460}, publisher = {Springer}, year = {2022}, url = {https://doi.org/10.1007/978-3-031-08333-4\_36}, doi = {10.1007/978-3-031-08333-4\_36} } [Close]
| Explainable Artificial Intelligence • Argumentation • Human-centred evaluation •
Non-monotonic reasoning • Explainability |
| 7 | 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 |
| 6 | Vilone G, Longo L. | Notions of explainability and evaluation approaches for explainable artificial intelligence | Information fusion | 2021 |
@article{VILONE202189, title = {Notions of explainability and evaluation approaches for explainable artificial intelligence}, journal = {Information Fusion}, volume = {76}, pages = {89-106}, year = {2021}, issn = {1566-2535}, doi = {https://doi.org/10.1016/j.inffus.2021.05.009}, url = {https://www.sciencedirect.com/science/article/pii/S1566253521001093}, author = {Giulia Vilone and Luca Longo}, keywords = {Explainable artificial intelligence, Notions of explainability, Evaluation methods}, } [Close]
| Explainable artificial intelligence •
Notions of explainability •
Evaluation methods |
| 5 | 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 |
| 4 | Rizzo, L., Longo L. | An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems | Expert Systems with Applications | 2020 |
@article{RizzoLongo2020aee, title = "An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems", journal = "Expert Systems with Applications", pages = "113-220", year = "2020", issn = "0957-4174", doi = "https://doi.org/10.1016/j.eswa.2020.113220", url = "http://www.sciencedirect.com/science/article/pii/S0957417420300464", author = "Lucas Rizzo and Luca Longo", keywords = "Defeasible Argumentation, Argumentation Theory, Explainable Artificial Intelligence, Non-monotonic Reasoning, Fuzzy Logic, Expert Systems, Mental Workload", } [Close]
| Defeasible Argumentation •
Argumentation Theory •
Explainable Artificial Intelligence •
Non-monotonic Reasoning •
Fuzzy Logic •
Expert Systems •
Mental Workload |
| 3 | Longo L, Orru G. | An Evaluation of the Reliability, Validity and Sensitivity of Three Human Mental Workload Measures Under Different Instructional Conditions in Third-Level Education | McLaren B., Reilly R., Zvacek S., Uhomoibhi J. (eds) Computer Supported Education. CSEDU 2018. | 2019 |
@InProceedings{10.1007/978-3-030-21151-6_19, author="Longo, Luca and Orru, Giuliano", editor="McLaren, Bruce M. and Reilly, Rob and Zvacek, Susan and Uhomoibhi, James", title="An Evaluation of the Reliability, Validity and Sensitivity of Three Human Mental Workload Measures Under Different Instructional Conditions in Third-Level Education", booktitle="Computer Supported Education", year="2019", publisher="Springer International Publishing", address="Cham", pages="384--413", isbn="978-3-030-21151-6" } [Close]
| Cognitive Load Theory • Cognitive load types • Human Mental Workload • Instructional design • Direct instructions • Cognitive Theory of Multimedia Learning • Inquiry methods • Community of Inquiry • Reliability • Validity • Sensitivity • Education |
| 2 | Longo L. | On the Reliability, Validity and Sensitivity of Three Mental Workload Assessment Techniques for the Evaluation of Instructional Designs: A Case Study in a Third-level Course | 10th International Conference on Computer Supported Education | 2018 |
@inproceedings{Longo18CSEDU, author = {Luca Longo}, title = {On the Reliability, Validity and Sensitivity of Three Mental Workload Assessment Techniques for the Evaluation of Instructional Designs: {A} Case Study in a Third-level Course}, booktitle = {Proceedings of the 10th International Conference on Computer Supported Education, {CSEDU} 2018, Funchal, Madeira, Portugal, March 15-17, 2018, Volume 2.}, pages = {166--178}, year = {2018}, doi = {10.5220/0006801801660178} } [Close]
| Human Mental Workload • Cognitive Load Theory • Instructional Design • Education |
| 1 | Mulwa C., Longo L., Sharp M., Lawless S., Wade V.P. | An Online Framework for Supporting the Evaluation of Personalised Information Retrieval Systems | 6th international conference on Ubiquitous and Collaborative Computing | 2011 |
@inproceedings{mulwa2011online, title={An online framework for supporting the evaluation of personalised information retrieval systems}, author={Mulwa, Catherine and Longo, Luca and Lawless, S{\'e}amus and Sharp, Mary and Wade, Vincent}, booktitle={Proceedings of the 6th international conference on Ubiquitous and Collaborative Computing}, pages={75--85}, year={2011}, organization={BCS Learning \& Development Ltd.} } [Close]
| Personalised Information Retrieval • User-Centred Evaluation • Layered Evaluation |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |