# Authors Title Details Date Pdf/Links/Bibtex Keywords
70Yapicioglu F.R., Rigenti A., Cisci A., Aksoy M., Vitali F., Longo L.Residual Value Prediction in Automotive: A Review of Methods and Data with Research Roadmap IEEE Access 2026 Residual Value Prediction • Artificial Intelligence • Explainability • Uncertainty Quantification
69Manzoor 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
10.1007/s41060-026-01044-6
68Holzinger A., Longo L., Cangelosi A., Del Ser J.Research Frontiers in Machine Learning & Knowledge Extraction Machine Learning and Knowledge Extraction 2026 machine learning • knowledge extraction • artificial intelligence • future • trends • Frontiers
10.3390/make8010006
67El-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
66Ephrem 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
65Kopanja 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
64Vilone 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
63Ahmed T., Biecek P. Longo L. Latent Space Interpretation and Mechanistic Clipping of Subject-Specific Variational Autoencoders of EEG Topographic Maps for Artefacts Reduction eXplainable Artificial Intelligence, The World Conference (xAI-2025) 2025 Electroencephalography • Spectral topographic maps • Subject-specific • Variational autoencoder • Latent space • interpretability • Artefacts removal • Deep learning • full automation • explainable AI
10.1007/978-3-032-08327-2_16
62Ceschin M., Arrighi L., Longo L., Barbon Junior S. Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest eXplainable Artificial Intelligence, The World Conference (xAI-2025) 2025 Ensemble Learning • Outliers • Explainable Artificial Intelligence • Interpretability • Anomalies • Tree-based Ensemble Model
10.1007/978-3-032-08324-1_12
61Davydko O., Pavlov V., Longo L. A Combination of Integrated Gradients and SRFAMap for Explaining Neural Networks Trained with High-Order Statistical Radiomic Features eXplainable Artificial Intelligence, The World Conference (xAI-2025) 2025 Explainable artificial intelligence • Radiomics • Texture analysis • Medical image processing • Saliency map • Integrated Gradients • Neural Networks • Interpretable Machine Learning
10.1007/978-3-032-08317-3_17
60Longo 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
59Kopanja 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.
58Marochko V., Rogala J., Longo L. Integrated Gradients for Enhanced Interpretation of P3b-ERP Classifiers Trained with EEG-superlets in Traditional and Virtual Environments 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 Event-related potentials • Deep learning • Convolutional neural networks • Explainable Artificial Intelligence • Integrated Gradients • P3b • Oddball paradigm • time-frequency super-resolution • Superlets.
57Gupta G., Qureshi M.A., Longo L.A Global Post Hoc XAI Method For Interpreting LSTM Using Deterministic Finite State Automata The Irish conference on Artificial Intelligence and Cognitive Science 2025 RNN • interpretability • Explainable AI • LSTM • Deterministic Finite State Automata • k-means clustering • Recurrent Neural Networks
56Criscuolo S., Giugliano S., Apicella, A., Donnarumma F., Amato F. Tedesco A., Longo L.Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI) 2024 Electroencephalography • Autoencoders • Eye-blink Artefacts Detection • Latent Space interpretation • Explainable Artificial Intelligence • Artificial Intelligence • Machine Learning • Deep learning
10.1109/RTSI61910.2024.10761377
55Marochko V., and Longo L.Enhancing the analysis of the P300 event-related potential with integrated gradients on a convolutional neural network trained with superlets Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium co-located with the 2nd World Conference on eXplainable Artificial Intelligence (xAI 2024) 2024 Event-related potentials • Deep learning • Convolutional neural networks • Explainable Artificial Intelligence • Integrated gradients • P3b • Oddball paradigm • time-frequency super-resolution • Superlets
54Mekonnen E. T., Longo L., Dondio P. Interpreting Black-Box Time Series Classifiers using Parameterised Event Primitives Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium co-located with the 2nd World Conference on eXplainable Artificial Intelligence (xAI 2024) 2024 Explainable Artificial Intelligence • Model-Agnostic • Time Series • Post-hoc • Deep Learning • Machine Learning • Event primitives • Time-series
53Chikkankod A.V., Longo L.A proposal for improving EEG microstate generation via interpretable deep clustering with convolutional autoencoders Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium co-located with the 2nd World Conference on eXplainable Artificial Intelligence (xAI 2024) 2024 EEG Microstates • Shallow clustering • Deep clustering • Convolutional autoencoders • Resting state • Machine Learning • Deep Learning • Microstate theory
52Mekonnen E.T., Longo L., Dondio P.A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers Frontiers Artificial Intelligence 2024 Deep learning • Explainable Artificial Intelligence • time series classification • decision tree • model agnostic • post-hoc • Machine Learning
10.3389/frai.2024.1381921
51Rizzo L., Verda D., Berretta S., Longo L. A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI Machine Learning and Knowledge Extraction 2024 rule-base AI • explainable artificial intelligence • computational argumentation • defeasible reasoning • Artificial Intelligence
10.3390/make6030101
50Raufi 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
49Davydko O., Pavlov V., Biecek P., & Longo L.SRFAMap: A Method for Mapping Integrated Gradients of a CNN Trained with Statistical Radiomic Features to Medical Image Saliency Maps eXplainable Artificial Intelligence, The World Conference (xAI-2024) 2024 Explainable artificial intelligence • Radiomics • Texture analysis • Medical image processing • Saliency map • Deep-learning • machine learning
10.1007/978-3-031-63803-9_1
48Hryniewska-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 Explainable Artificial Intelligence • XAI • Convolutional Neural Network • model evaluation • data evaluation • representation learning • ensemble • deep learning • machine learning
10.1007/978-3-031-63797-1_18
47Manzoor 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
46Longo 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
45Sullivan R.S., Longo L. Optimizing Deep Q-Learning Experience Replay with SHAP Explanations: Exploring Minimum Experience Replay Buffer Sizes in Reinforcement Learning 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 Deep Reinforcement Learning • Experience Replay • SHapley Additive exPlanations • eXplainable Artificial Intelligence • Machine Learning
44Mekonnen 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
43Ahmed T., Longo L.Latent Space Interpretation and Visualisation for Understanding the Decisions of Convolutional Variational Autoencoders Trained with EEG Topographic Maps 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 Electroencephalography • Convolutional variational autoencoders • latent space interpretation • deep learning • spectral topographic maps • Machine Learning
42Vilone G., Longo L. An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks 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 • Argumentation • Non-monotonic reasoning • Automatic attack extraction • Weighted argumentation frameworks • Inconsistency budget • Machine Learning • Neural Networks
41Davydko O., Pavlov V., Longo L.Selecting textural characteristics of chest X-Rays for pneumonia lesions classification with the integrated gradients XAI attribution method eXplainable Artificial Intelligence, The World Conference (xAI-2023) 2023 Explainable artificial intelligence • Neural networks • Texture analysis • Medical image processing • Classification • Machine Learning
10.1007/978-3-031-44064-9_36
40Natsiou A., O’Leary S., Longo L. An Exploration of the Latent Space of a Convolutional Variational Autoencoder for the Generation of Musical Instrument Tones eXplainable Artificial Intelligence, The World Conference (xAI-2023) 2023 Explainable Artificial Intelligence • Variational Autoencoders • Audio Representations • Audio Synthesis • Latent Feature Importance • Deep Learning • Machine Learning
10.1007/978-3-031-44070-0_24
39Gómez Tapia C., Bozic B., Longo L. Investigating the Effect of Pre-processing Methods on Model Decision-Making in EEG-Based Person Identification eXplainable Artificial Intelligence, The World Conference (xAI-2023) 2023 Electroencephalography • eXplainable Artificial Intelligence • Deep Learning • Signal processing • attribution xAI methods • Graph-Neural Network • Biometrics • signal-to-noise ratio
10.1007/978-3-031-44070-0_7
38Vilone 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 Explainable Artificial Intelligence • Human-centred evaluation • Psychometrics • Machine Learning • Deep Learning • Explainability
10.1007/978-3-031-44070-0_11
37O’ Sullivan R., Longo LExplaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations Machine Learning and Knowledge Extraction 2023 Deep Reinforcement Learning • Experience Replay • SHapley Additive exPlanations • eXplainable Artificial Intelligence • Artificial Intelligence
10.3390/make5040072
36Longo L., O'Reilly R.Artificial Intelligence and Cognitive Science 30th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2022), Revised selected papers. 2023 information retrieval • computer vision • artificial intelligence • machine learning • agent systems • collaborative networks • neural networks • image processing • patter recognition • neural computing
10.1007/978-3-031-26438-2
35Vilone 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
34Hamilton K., Nayak A., Bozic B., Longo L.Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review Semantic Web Journal 2022 Neuro-Symbolic • Artificial Intelligence • Natural Language Processing • Deep Learning • Knowledge Representation • Reasoning • Structured Review
10.3233/SW-223228
33Vilone 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 Explainable Artificial Intelligence • Argumentation • Human-centred evaluation • Non-monotonic reasoning • Explainability
10.1007/978-3-031-08333-4_36
32Jindala K., Upadhyaya R., Padhyb P.K., Longo L.Bi-LSTM-deep CNN for schizophrenia detection using MSST-spectral images of EEG signals Artificial Intelligence-Based Brain-Computer Interface 2022 bi-directional LSTM • Long-Short Term Memory • Deep Learning • Schizophrenia • Spectral analysis • Convolutional neural network • Electroencephalography
10.1016/B978-0-323-91197-9.00011-4
31Vilone 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
30Vilone G., Longo L.Classification of Explainable Artificial Intelligence Methods through Their Output Formats Machine Learning and Knowledge Extraction 2021 explainable artificial intelligence • method classification • systematic literature review
10.3390/make3030032
29Vilone G, Longo L.Notions of explainability and evaluation approaches for explainable artificial intelligence Information fusion 2021 Explainable artificial intelligence • Notions of explainability • Evaluation methods
10.1016/j.inffus.2021.05.009
28Longo L., Goebel R., Lecue F., Kieseberg P., Holzinger A.Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions Machine Learning and Knowledge Extraction. Int. Cross-Domain Conference for Machine Learning and Knowledge Extraction 2020 Explainable artificial intelligence • Machine learning • Explainability
10.1007/978-3-030-57321-8_1
27Rizzo L. Dondio P., Longo L.Exploring the potential of defeasible argumentation for quantitative inferences in real-world contexts: An assessment of computational trust Proceedings for the 28th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7-8, 2020 2020 Defeasible Argumentation • Argumentation Theory • Explainable Artificial Intelligence • Non-monotonic Reasoning • Computational Trust
26Vilone 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
25Ambrozio B., Longo L., Rizzo L.LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study Proceedings for the 28th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7-8, 2020 2020 LightGWAS • LightGBM • Genome-wide association study
10.21427/ngzh-xw62
24Dondio P., Longo L.Beyond reasonable doubt: a proposal for undecidedness blocking in abstract argumentation Intelligenza Artificiale 2020 Abstract argumentation semantics • ambiguity blocking • standard of proofs • undecidedness • Artificial Intelligence
10.3233/IA-190030
23Dondio P., Longo L., Bistarelli S.Preface to the Special Issue on Advances in Argumentation in Artificial Intelligence Intelligenza Artificiale 2020 Artificial Intelligence • Argumentation
10.3233/IA-190035
22Rizzo, 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 Defeasible Argumentation • Argumentation Theory • Explainable Artificial Intelligence • Non-monotonic Reasoning • Fuzzy Logic • Expert Systems • Mental Workload
10.1016/j.eswa.2020.113220
21Longo L.Empowering Qualitative Research Methods in Education with Artificial Intelligence WCQR 2019: Computer Supported Qualitative Research 2019 Artificial intelligence • Qualitative research Methods • Data analysis • Education • Teaching • Learning • Behaviourism • Constructivism • Cognitivism • Automated reasoning • Knowledge representation • Machine learning • Planning • Perception • Natural language processing
10.1007/978-3-030-31787-4_1
20Rizzo 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
19Rizzo 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
18Kelly 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
17Marochko V., Leonard J., Mazzara M., Longo L.Pseudorehearsal in actor-critic agents with neural network function approximation IEEE 32nd International Conference on Advanced Information Networking and Applications 2018 Reinforcement learning • Neural Networks • Catastrophic Forgetting • Pseudorehearsal • Artificial Intelligence
10.1109/AINA.2018.00099
16Rizzo 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
15Rizzo 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
14Rogers 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
13Mccartney 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
12Lynch 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
11Rizzo 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
10Longo L.Argumentation for Knowledge Representation, Conflict Resolution, Defeasible Inference and Its Integration with Machine Learning Machine Learning for Health Informatics 2016 Defeasible Reasoning • Argumentation • Conflict Resolution • Knowledge-representation • Interactive Machine Learning • Medicine • Artificial Intelligence
9Rizzo 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
8Longo 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
7Dondio 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
6Longo L.,; Dondio P.Defeasible reasoning and argument-based systems in medical fields: An informal overview IEEE 27th International Symposium on Computer-Based Medical Systems 2014 Defeasible Reasoning • Argument-based systems • Medicine • Artificial Intelligence • Argumentation
5Longo 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
4Longo 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
3Longo L,Kane B.; Hederman L.Argumentation theory in health care 25th International Symposium on Computer-Based Medical Systems 2012 Argumentation Theory • Health Care • Defeasible Reasoning • Artificial Intelligencel
2Longo L.Human-computer interaction and human mental workload: Assessing cognitive engagement in the world wide web IFIP Conference on Human-Computer Interaction 2011 Human-Computer Interaction • Human Mental Workload • User Engagement • Artificial Intelligence • Web-mining • Human Factors
1Longo L., Barrett S.A Computational Analysis of Cognitive Effort Intelligent Information and Database Systems 2010 Cognitive Effort • Artificial Intelligence • Virtual Agents • Modeling • Mental Workload
# Authors Title Details Date Pdf/Links/Bibtex Keywords