# Authors Title Details Date Pdf/Links/Bibtex Keywords
31 Nakanishi T. Longo L.Approximate-Inverse Explainability of beta–VAE Latents for Multichannel EEG Participant-generalised Topographical Representation Learning IEEE Access 2025 Electroencephalography • Brain modeling • Spatial coherence • Scalp • Perturbation methods • Computational modeling • Explainable AI • Deep learning • Electroencephalography • VAE • topographic mapping • approximate inverse model explanations • generative deep learning • representation learning
10.1109/ACCESS.2025.3635543
30Ephrem 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
29Longo L., Berretta S., Verda D., Rizzo L.Computational argumentation and automatic rule-generation for explainable data-driven modeling IEEE Access 2025 Rule-base systems • Explainable Artificial Intelligence • Logic Learning Machine • Non-monotonic reasoning • Defeasible Reasoning • Explainability • Computational argumentation • Argumentation semantics • Explainability
10.1109/ACCESS.2025.3618992
28Kopanja M., Savic M., Longo LEnhancing Cost-Sensitive Tree-Based XAI Surrogate Method: Exploring Alternative Cost Matrix Formulation Joint Proceedings of the xAI 2025 Late-breaking Work, Demos and Doctoral Consortium co-located with the 3rd World Conference on eXplainable Artificial Intelligence (xAI 2025) 2025 Explainable artificial intelligence • Cost-sensitive decision tree • Surrogate modeling • Rule extraction • Tree-based methods • Model-agnostic explanations • Rule-based systems • Interpretability • Machine Learning.
27Gomez-Tapia C., Bozic B, Longo L. Evaluation of EEG pre-processing and source localization in ecological research Frontiers Neuroimaging 2025 Electroencephalography • source localization • ecological settings • inverse modeling • source imaging • eLORETA • pipeline • Neurocomputing • Neuroscience • Ecological Research
10.3389/fnimg.2025.1479569
26Kalra J., Mittal P., Mittal N., Arora A., Tewari U., Chharia A., Upadhyay R., Kumar V., Longo L.How Visual Stimuli evoked P300 is transforming the Brain-Computer Interface Landscape: A PRISMA Compliant Systematic Review IEEE Transactions On Neural Systems and Rehabilitation Engineering 2023 Electroencephalography • Visualization • Market research • Recording • Brain modeling • Task analysis • Medical diagnostic imaging
10.1109/TNSRE.2023.3246588
25Moustafa 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
24Yashkina E., Pinigin A., Lee JY, Mazzara M., Adekotujo A.S., Zubair A., Longo L.Expressing Trust with Temporal Frequency of User Interaction in Online Communities 33rd International Conference on Advanced Information Networking and Applications 2019 Reputation Management • Computational Trust • Online Communities • Social Media • Social Networks • Modeling
10.1007/978-3-030-15032-7_95
23Rizzo 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
22Rizzo L., Longo L.A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science 2018 Defeasible Argumentation • Non-monotonic Reasoning • Fuzzy Reasoning • Argumentation Theory • Explainable Artificial Intelligence • Artificial Intelligence • Modeling
21Kelly P., Longo L.An Investigation into the Effects of Multiple Kernel Combinations on Solutions Spaces in Support Vector Machines Artificial Intelligence Applications and Innovations 2018 Multiple Kernels • Support Vector Machines • Machine Learning • Modeling • Artificial Intelligence
10.1007/978-3-319-92007-8_14
20Rizzo L., Majnaric L., Longo L.A comparative study of defeasible argumentation and non-monotonic fuzzy reasoning for elderly survival prediction using biomarkers International Conference of the Italian Association for Artificial Intelligence 2018 Argumentation Theory • Non-monotonic Reasoning • Defeasible Reasoning • Fuzzy Reasoning • Possibility Theory • Biomarkers • Modeling • Artificial Intelligence
10.1007/978-3-030-03840-3_15
19Melnikov 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
18Rizzo L., Majnaric L., Dondio P., Longo L.An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers IFIP International Conference on Artificial Intelligence Applications and Innovations 2018 Biomarkers • Argumentation Theory • Defeasible Reasoning • Artificial Intelligence • Modeling
10.1007/978-3-319-92007-8_33
17Rogers 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
16Mccartney A., Hensman S, Longo L.How Short is a Piece of String? The Impact of Text Length and Text Augmentation on Short-text Classification 25th Irish Conference on Artificial Intelligence and Cognitive Science 2017 Text Augmentation • Short-text Classification • Machine Learning • Artificial Intelligence • Modeling
15Lynch 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
14Rizzo 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
13Moustafa 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
12Rizzo 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
11Longo L.A defeasible reasoning framework for human mental workload representation and assessment Behaviour & Information Technology 2015 Human Mental Workload • Defeasible Reasoning • Argumentation Theory • Knowledge-Representation • Modeling • Artificial Intelligence
10.1080/0144929X.2015.1015166
10Dondio P., Longo L.Computing Trust as a form of Presumptive Reasoning IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) 2014 Computational Trust • Online communities • fuzzy logics • Presumptive Reasoning • Modeling • Artificial Intelligence
10.1109/WI-IAT.2014.108
9Longo L.Formalising Human Mental Workload as a Defeasible Computational Concept The University of Dublin, Trinity College (doctoral thesis) 2014 Mental Workload • Defeasible Reasoning • Argumentation Theory • Knowledge Representation • Nasa Task Load Index • Workload Profile • Human-Computer Interaction • Artificial Intelligence • Modeling
8Longo 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
7Longo L.Formalising human mental workload as non-monotonic concept for adaptive and personalised web-design International Conference on User Modeling, Adaptation, and Personalization 2012 Human Mental Workload • Non-monotonic Reasoning • Argumentation Theory • Human-Computer Interaction • Web Design
6Dondio P., Longo L.Trust-Based Techniques for Collective Intelligence in Social Search Systems Next generation data technologies for collective computational intelligence 2011 Computational Trust • Collective Intelligence • Social Search • Modeling
5Longo L., Dondio P., Barrett S.Enhancing social search: a computational collective intelligence model of behavioural traits, trust and time Transactions on computational collective intelligence II 2010 Social Search • Computational Trust, Collective Intelligence • Modeling • Human-Computer Interaction
4Longo L., Barrett S.A context-aware approach based on self-organizing maps to study web-users' tendencies from their behaviour International Workshop on Context-Aware Middleware and Services: affiliated with the 4th International Conference on Communication System Software and Middleware 2009 Context-awareness • Computational Trust • Distributed Systems • Social Search • Self-Organizing maps • Human-Computer Interaction • Modeling
10.1145/1554233.1554237
3Longo L., Dondio P., Riccardo B., Butterfield A., Barrett S.Enabling Adaptation in Trust Computations Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns 2009 Computational Trust • Adaptation • Multi-agent Systems • Web 2.0 • Non-monotonic Reasoning • Modeling
10.1109/ComputationWorld.2009.70
2Dondio P., Longo L., Barrett S.A translation mechanism for recommendations Trust Management II - Joint iTrust and PST Conferences on Privacy, Trust Management and Security. 2008 Computational Trust • Recommendation • Modeling
1Longo L., Dondio P., Barrett S.Temporal Factors to evaluate trustworthiness of virtual identities Third International Conference on Security and Privacy in Communications Networks and the Workshops. SecureComm. 2007 Computational Trust • Temporal Factors • Virtual Identities • Modeling
# Authors Title Details Date Pdf/Links/Bibtex Keywords