# Authors Title Details Date Pdf/Links/Bibtex Keywords
48Manzoor 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
47Marconi 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
46Holzinger 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
45El-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
44Vilone 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
43Davydko 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
42Kopanja 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.
41Longo L., Reilly R.Instantiating the onEEGwaveLAD Framework for Real-Time Muscle Artefact Identification and Mitigation in EEG Signals Sensors 2025 electroencephalography • muscle artefacts • real-time denoiser • discrete wavelet transform • Isolation Forest • machine learning • signal processing and restoration • sliding moving buffer
10.3390/s25165018
40Criscuolo 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
39Mekonnen 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
38Chikkankod 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
37Mekonnen 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
36Rizzo 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
35Davydko 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
34Hryniewska-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
33Manzoor 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
32 Lal U, Chikkankod V. A, Longo L.A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer’s Disease with Electroencephalography in Resting-State Adults Brain Sciences 2024 electroencephalography • neural signal processing • feature extraction techniques • supervised learning • deep learning • machine learning
10.3390/brainsci14040335
31Raufi 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
30Lal U., Vinayak Chikkankod A., Longo L. Fractal dimensions and machine learning for detection of Parkinson’s disease in resting-state electroencephalography Neural Computing and Applications 2024 Electroencephalography • Explainable AI • Fractal dimension • Entropy • Sliding windowing • Feature extraction • Supervised learning • Machine Learning • Deep-learning
10.1007/s00521-024-09521-4
29Sullivan 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
28Mekonnen 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
27Ahmed 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
26Vilone 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
25Davydko 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
24Natsiou 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
23Vilone 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
22O’ 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
21Longo 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
20Grover N., Chharia A., Upadhyay R., Longo L.Schizo-Net: A novel Schizophrenia Diagnosis framework using late fusion multimodal deep learning on Electroencephalogram-based Brain connectivity indices IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023 Schizophrenia • Deep Learning • Brain Connectivity features • Feature fusion • Classification • Machine Learning
10.1109/TNSRE.2023.3237375
19Natsiou A., Longo L., O'Leary S.An investigation of the reconstruction capacity of stacked convolutional autoencoders for log-mel-spectrograms 16th International Conference on Signal-Image Technology & Internet-Based Systems 2022 Log-mel-spectrogram • reconstruction • autoencoders • machine learning
10.1109/SITIS57111.2022.00038
18Chikkankod A.V., Longo L. On the Dimensionality and Utility of Convolutional Autoencoder’s Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps Machine Learning and Knowledge Extraction 2022 electroencephalography • latent space analysis • sliding windowing • convolutional autoencoders • automatic feature extraction • dense neural network
10.3390/make4040053
17Marochko V.A., Reilly R., McDonnell R., Longo L.A Survey on the Application of Virtual Reality in Event-Related Potential Research Machine Learning and Knowledge Extraction 2022 Event-related potentials • Virtual reality • Survey
10.1007/978-3-031-14463-9_17
16Raufi 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 human mental workload • EEG band ratios • alpha-to-theta ratios • theta-to-alpha ratios • machine learning • classification • Electroencephalography
10.3389/fninf.2022.861967
15Gómez-Tapia C., Bozic B., Longo L.On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications Frontiers Neuroinformatics 2022 biometrics • EEG • feature extraction • machine learning • deep learning • graph neural networks • Electroencephalography
10.0.13.61/fninf.2022.844667
14Hamilton K., Božic B., Longo L.Interrupting the Propaganda Supply Chain Knowledge Graphs for Online Discourse Analysis 2021 Propaganda • Semantic Web • Ontological Computation • Machine Learning • Knowledge Extraction • Multidisciplinary
13Vilone 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
12Longo 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
11Ambrozio 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
10Longo 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
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
8Kelly 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
7Longo L.Experienced mental workload, perception of usability, their interaction and impact on task performance PloS one 2018 Mental Workload • Usability • Nasa Task Load Index • Workload Profile • System Usability Scale • Machine Learning • Human Performance • Human-Computer Interaction
10.1371/journal.pone.0199661
6Rogers 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
5Mccartney 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
4Longo L.Subjective Usability, Mental Workload Assessments and Their Impact on Objective Human Performance IFIP Conference on Human-Computer Interaction 2017 Usability • Mental Workload • Human Performance • Human-Computer Interaction • Machine Learning
10.1007/978-3-319-67684-5_13
3Moustafa 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
2Longo 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
1Longo 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
# Authors Title Details Date Pdf/Links/Bibtex Keywords