# Authors Title Details Date Pdf/Links/Bibtex Keywords
28Marconi L., Longo L., Cabitza F. Assessing Interaction Quality in Human–AI Dialogue: An Integrative Review and Multi-Layer Framework for Conversational Agents Machine Learning & Knowledge Extraction 2026 interaction quality • human–AI interaction • conversational agents • chatbots • human–AI dialogue • large language models (LLMs) • user experience (UX)
10.3390/make8020028
27El-Qoraychy FZ, Mualla Y., Zhao H., Dridi M., Créput JC, Longo L. Explainable AI for sign language recognition models: Integrating Grad-Cam LIME and Integrated Gradients Plos One 2025 Sign language • Machine Learning • Explainable Artificial Intelligence • Grad-Cam • Lime • Integrated Gradients
10.1371/journal.pone.0336481
26Ephrem Tibebe Mekonnen; Longo L., Dondio P.LOMATCE: LOcal Model-Agnostic Time-series Classification Explanations IEEE Access 2025 Time series analysis • Adaptation models • Explainable AI • Predictive models • Data models • Closed box • Perturbation methods • Computational modeling • Deep learning • Kernel • Explainable Artificial Intelligence • Model-agnostic • Time series • Post hoc • Deep learning • XAI
10.1109/ACCESS.2025.3625442
25Kopanja M., Savic M., Longo L.CORTEX: Cost-Sensitive Rule and Tree Extraction Method Knowledge-Based Systems 2025 Explainable artificial intelligence • Rule-based methods • Tree-based methods • Cost-sensitive decision tree • Rule extraction • Surrogate models
10.1016/j.knosys.2025.114592
24Vilone 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
23Manzoor A. Atif Qureshi M., KidneyE., Longo L.A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners IEEE Access 2024 Churn Prediction • Machine Learning • Artificial Intelligence • Business Decision making • Customer Defection • Marketing Analytics • Business Intelligence • Business • Predictive models • Switches • Reviews • Machine learning • Surveys • Profitability
10.1109/ACCESS.2024.3402092
22Hamilton K., Longo L., Bozic B.GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text. WWW '24: Companion Proceedings of the ACM on Web Conference 2024 2024 Natural Language Processing • Large Language Models • Annotation • Rhetorical Devices • Propaganda Technique Detection • Argumentation
10.1145/3589335.3651909
21Raufi B., Longo L.Comparing ANOVA and PowerShap Feature Selection Methods via Shapley Additive Explanations of Models of Mental Workload Built with the Theta and Alpha EEG Band Ratios BioMedInformatics 2024 model explainability • mental workload • statistical feature selection • Shapley-based feature selection • alpha and theta EEG band ratios • machine learning • Deep-learning
10.3390/biomedinformatics4010048
20Longo L., Brcic M., Cabitza F., Choi J., Confalonieri R., Del Ser J., Guidotti R., Hayashi Y., Herrera F., Holzinger A., Jiang R., Khosravi H., Lecue F., Malgieri G., Páez A, Samek W., Schneider J, Speith T., Stumpf S.Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions Information Fusion 2024 Explainable artificial intelligence • XAI • Interpretability • Manifesto • Open challenges • Interdisciplinarity • Ethical AI • Large language models • Trustworthy AI • Responsible AI • Generative AI • Multi-faceted explanations • Concept-based explanations • Causality • Actionable XAI • Falsifiability
10.1016/j.inffus.2024.102301
19Mekonnen E.T., Dondio P., Longo L. Explaining Deep Learning Time Series Classification Models using a Decision Tree-Based Post-Hoc XAI Method Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023) 2023 Explainable Artificial Intelligence • Deep Learning • Time Series • Classification • Decision-Trees • Machine Learning • Post-hoc
18Vilone 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 Explainable artificial intelligence • Argumentation • Non-monotonic reasoning • Method evaluation • Metrics of explainability
17Longo L., Wickens C. D., Hancock P. A., Hancock G.Human Mental Workload: A Survey and a Novel Inclusive Definition Frontiers Psychology 2022 survey • mental workload • definitions • theories • measures • models • novel framework • novel inclusive definition
10.3389/fpsyg.2022.883321
16Longo L., Leva M.C.Human Mental Workload: Models and Applications 5th International Symposium on Human Mental Workload, Models and Applications 2021 Mental Workload • Models • Applications
dx.10.1007/978-3-030-91408-0
15Longo L., Rajendran M.A Novel Parabolic Model of Instructional Efficiency Grounded on Ideal Mental Workload and Performanc Human Mental Workload: Models and Applications 2021 Instructional efficiency • Cognitive Load Theory • Mental workload • Performance • Entropy • Validity • Parabolic • Optimality
10.1007/978-3-030-91408-0_2
14Longo L., Leva M.C.Human Mental Workload: Models and Applications 4th International Symposium on Human Mental Workload, Models and Applications 2020 Mental Workload • Models • Applications
dx.10.1007/978-3-030-62302-9
13Munoz-De-Escalona E., Cañas J., Leva M.C., Longo L. Task demand transition peak point effects on mental workload measures divergence Human Mental Workload: Models and Applications 4th International Symposium, H-WORKLOAD 2020 2020 Mental workload • Workload measures • Convergence • Divergence • Dissociations • Insensitivities • Task demand transitions • Rates of change • Peak point
10.1007/978-3-030-62302-9_13
12Orru 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
11Longo L., Leva M.C.Human Mental Workload: Models and Applications 3rd International Symposium on Human Mental Workload, Models and Applications 2019 Mental Workload • Models • Applications
dx.10.1007/978-3-030-32423-0
10Crotti J.A., Debruyne C., Longo L., O'Sullivan D.On the Mental Workload Assessment of Uplift Mapping Representations in Linked Data 2nd International Symposium on Human Mental Workload: Models and Applications 2019 Mental Workload • Uplift Mapping Representations • Linked Data • Usability • Human-Computer Interaction
10.1007/978-3-030-14273-5_10
9Moustafa K., Longo L.Analysing the Impact of Machine Learning to Model Subjective Mental Workload: A Case Study in Third-Level Education 2nd International Symposium on Human Mental Workload: Models and Applications 2019 Machine Learning • Mental Workload • Modeling • Subjective Measures • Instructional Design
10.1007/978-3-030-14273-5_6
8Orru G., Longo L.The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane Loads: A Review 2n International Symposium on Human Mental Workload: Models and Applications 2019 Cognitive Load Theory • Cognitive Load types • Intrinsic Load • Extraneous Load • Germane Load • Measures • Instructional Design • Efficiency • Education • Mental Workload
10.1007/978-3-030-14273-5_3
7Rizzo L., Longo L.Inferential models of mental workload with defeasible argumentation and non-monotonic fuzzy reasoning: a comparative study 2nd Workshop on Advances In Argumentation In Artificial Intelligence, co-located with XVII International Conference of the Italian Association for Artificial Intelligence 2019 Argumentation Theory • Non-monotonic Reasoning • Fuzzy Logic • Mental workload • Defeasible Reasoning • Modeling • Artificial Intelligence
6Longo L., Leva M.C.Human Mental Workload: Models and Applications 2nd International Symposium on Human Mental Workload, Models and Applications 2018 Mental Workload • Models • Applications
dx.10.1007/978-3-030-14273-5
5Melnikov A., Mazzara M., Rivera V., Lee J., Longo L.Towards Dynamic Interaction-Based Reputation Models IEEE 32nd International Conference on Advanced Information Networking and Applications 2018 Computational Trust • Reputation • Interaction • Modeling
10.1109/AINA.2018.00070
4Lynch S. Longo L.On the relationship between sampling rate and Hidden Markov Models Accuracy in Non-Intrusive Load Monitoring 25th Irish Conference on Artificial Intelligence and Cognitive Science 2017 Hidden Markov Models • Load Monitoring • Non-Intrusive • Sampling rate • Modeling • Artificial Intelligence
3Balfe N., Crowley K., Smith B., Longo L.Estimation of Train Driver Workload: Extracting Taskload Measures from On-Train-Data-Recorders 1st International Symposium on Human Mental Workload: Models and Applications 2017 Mental Workload • Train drivers • Task Load Measures
10.1007/978-3-319-61061-0_7
2Longo L., Leva M.C.Human Mental Workload: Models and Applications 1st International Symposium on Human Mental Workload, Models and Applications 2017 Mental Workload • Models • Applications
10.1007/978-3-319-61061-0
1Moustafa 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
# Authors Title Details Date Pdf/Links/Bibtex Keywords