# Authors Title Details Date Pdf/Links/Bibtex Keywords
144Yapicioglu 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
143Manzoor 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
142Marconi 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
141Holzinger 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
140El-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
139 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 • Neuroscience
10.1109/ACCESS.2025.3635543
138Ephrem 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
137Kopanja 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
136Vilone 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
135Ahmed 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 • Neuroscience
10.1007/978-3-032-08327-2_16
134Ceschin 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
133Davydko 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
132Longo 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
131Kopanja 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.
130Marochko 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 • Neuroscience
129Singh G., Chharia A., Upadhyay R., Kumar V., Longo L. PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces PlosOne 2025 Electroencephalography • Man-computer interface • Signal processing • Programming languages • Signal filtering • Algorithms • Vision • Event-related potentials • Neuroscience
10.1371/journal.pone.0327791
128Longo 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 • Neuroscience
10.3390/s25165018
127Gomez-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
126Gupta 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
125Kumar S., Suiter J., Longo L.Advancing Deliberative Discourse Measurement: The Intersection with Computational Abstract Argumentation in Discourse Quality Evaluations Systems 2025 argumentation framework • discourse • defeasible reasoning • deliberation • argumentation • abstract semantics • deliberation quality
10.3390/systems13030204
124Longo L., Reilly R.B.onEEGwaveLAD: A fully automated online EEG wavelet-based learning adaptive denoiser for artefacts identification and mitigation Plos One 2025 Electroencephalography • Isolation Forests • Computational pipelines • Trees • Probability distribution • Time domain analysis • Wavelet transforms • Denoiser • Artefacts • Signal processing
10.1371/journal.pone.0313076
123Criscuolo S., Apicella A., Prevete R., Longo L.Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals Computer Standards & Interfaces 2025 Electroencephalography • Variational autoencoders • Convolution • Ocular artefacts • detection • Latent space interpretation • Neuroscience
10.1016/j.csi.2024.103897
122Criscuolo 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 • Neuroscience
10.1109/RTSI61910.2024.10761377
121Marochko 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 • Neuroscience
120Mekonnen 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
119Chikkankod 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 • Neuroscience
118Mekonnen 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
117Rizzo 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
116Raufi 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
115Davydko 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
114Hryniewska-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
113Manzoor 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
112Hamilton 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
111 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 • Neuroscience
10.3390/brainsci14040335
110Raufi 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 • Neuroscience
10.3390/biomedinformatics4010048
109Longo 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
108Lal 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
107Sullivan 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
106Mekonnen 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
105Ahmed 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 • Neuroscience
104Vilone 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
103Davydko 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
102Natsiou 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
101Gómez 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
100Vilone 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
99O’ 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
98Ahmed T., Longo L.Interpreting Disentangled Representations of Person-Specific Convolutional Variational Autoencoders of Spatially Preserving EEG Topographic Maps via Clustering and Visual Plausibility Information 2023 electroencephalography • convolutional variational autoencoder • latent space interpretation • deep learning • spectral topographic maps
10.3390/info14090489
97Nayak A., Bozic B., Longo L.Data Quality Assessment and Recommendation of Feature Selection Algorithms: An Ontological Approach Journal of Web Engineering (JWE) 2023 Data quality • feature selection algorithm • meta-features • ontology • recommendation
10.13052/jwe1540-9589.2219
96Longo 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
95Kalra 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 • Neuroscience
10.1109/TNSRE.2023.3246588
94Grover 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 • Neuroscience
10.1109/TNSRE.2023.3237375
93Rizzo L., Longo L.Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts Information fusion 2023 Defeasible Argumentation • Knowledge-based Systems • Non-monotonic Reasoning • Fuzzy Logic • Expert Systems • Computational Trust
10.1016/j.inffus.2022.08.025
92Natsiou 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
91Davydko O., Horodetska O., Nastenko I., Hladkyi Y., Pavlov V., Linnik M., Galkin O., Longo L.A Pipeline for the Diagnosis and Classification of Lung Lesions for Patients with COVID-19 IEEE 17th International Conference on Computer Sciences and Information Technologies 2022 COVID-19 • classification • segmentation • neural network • logistic self-organized forest • texture analysis
10.1109/CSIT56902.2022.10000435
90Chikkankod 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 • Neuroscience
10.3390/make4040053
89Longo L.Modeling Cognitive Load as a Self-Supervised Brain Rate with Electroencephalography and Deep Learning Brain Sciences 2022 cognitive load • deep learning • self-supervision • brain rate • convolutional neural network • recurrent neural network • mental workload • EEG bands • electroencephalography • spectral topology-preserving head-maps
10.3390/brainsci12101416
88Ahmed T., Longo L. Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands IEEE Access 2022 Electroencephalography • convolutional variational autoencoder • latent space • deep learning • frequency bands • spectral topographic maps • neural networks
10.1109/ACCESS.2022.3212777
87Vilone 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
86Hamilton 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
85Marochko 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 • Neuroscience
10.1007/978-3-031-14463-9_17
84Nayak A., Bozic B., Longo L.An Ontological Approach for Recommending a Feature Selection Algorithm Web Engineering - 22nd International Conference, ICWE 2022 2022 Feature selection algorithms • Meta features • Ontology
10.1007/978-3-031-09917-5_20
83Longo 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
82Raufi 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 • Neuroscience
10.3389/fninf.2022.861967
81Gómez-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 • Neuroscience
10.0.13.61/fninf.2022.844667
80Vilone 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
79Nayak A., Božic B., Longo L.Linked Data Quality Assessment: A Survey International conference on web services 2022 Data quality • Knowledge graphs • Linked data • Quality assessment • Quality improvement
10.1007/978-3-030-96140-4_5
78Jindala 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 • Neuroscience
10.1016/B978-0-323-91197-9.00011-4
77Nayak A., Božic B., Longo L.(Linked) Data Quality Assessment: An Ontological Approach RuleML+RR 2021 co-located with 17th Reasoning Web Summer School (RW 2021) 2021 Data quality assessment • Data quality improvement • Linked data • Root cause analysis
76Hamilton 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
75Costa A.P., Reis L.P., Moreira A., Longo L., Bryda G. Computer Supported Qualitative Research. New Trends in Qualitative Research. World Conference on Qualitative Research (WCQR2021) 2021 Qualitative Research • Computer Supported Qualitative Research • Qualitative Analysis Software
10.1007/978-3-030-70187-1
74Nayak A., Božic B., Longo L.Extending R2RML-F to support dynamic datatype and language tags Procedia Computer Science 2021 Knowledge graphs • Linked data • Mapping language • Typed literals
10.1016/j.procs.2021.08.073
73Longo 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
72Longo 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
71Vilone 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
70Bjegojevic B., Leva M.C., Balfe N., Cromie S., Longo L.Physiological Measurements for Real-time Fatigue Monitoring in Train Drivers: Review of the State of the Art and Reframing the Problem Proceedings of the 31st European Safety and Reliability Conference 2021 Train drivers • Rail • Physiology • Fatigue • Attention • EEG • Eye-tracking • Heart rate
10.3850/978-981-18-2016-8_437-cd
69Vilone 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
68Vilone 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
67Hancock, G. and Longo, L. and Hancock, P. and Young, M.Mental Workload Handbook of human factors & ergonomics 2021 Mental Workload • Cognitive load • Techniques • methods
10.1002/9781119636113.ch7
66Longo L., Rizzo L. Dondio P.Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning Knowledge-Based Systems 2021 Defeasible reasoning • Non-monotonic reasoning • Fuzzy logic • Argumentation • Empirical research • Knowledge-representation • Mental workload.
10.1016/j.knosys.2020.106514
65Longo 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
64Rizzo L., Longo L.Self-reported data for mental workload modelling in human-computer interaction and third-level education Data in Brief 2020 Knowledge-based systems • Fuzzy reasoning • Expert systems • Mental workload • Automated reasoning • Argumentation theory
10.1016/j.dib.2020.105433
63Longo L., Orrú G.Evaluating instructional designs with mental workload assessments in university classrooms Behaviour and Information Technology 2020 Cognitive Load Theory • Instructional Design • Cognitive Theory of Multimedia Learning • Subjective Mental Workload
10.1080/0144929X.2020.1864019
62Longo 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
61Rizzo 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
60Vilone 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
59Ambrozio 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
58Munoz-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
57Orru 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
56Dondio 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
55Dondio 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
54Rizzo, 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
53Longo 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
52Longo 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
51Orru G, Longo L.Direct instruction and its extension with a community of inquiry: A comparison of mental workload, performance and efficiency CSEDU 2019 - Proceedings of the 11th International Conference on Computer Supported Education 2019 Direct Instruction • Community of Inquiry • Efficiency • Mental Workload • Cognitive Load Theory • Instructional Design • Education
10.5220/0007757204360444
50Longo 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 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
10.1007/978-3-030-21151-6_19
49Crotti 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
48Moustafa 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
47Orru 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
46Yashkina 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
45Rizzo 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
44Longo 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
43Rizzo 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
42Orru G., Gobbo F., O'Sullivan D., Longo L.An Investigation of the Impact of a Social Constructivist Teaching Approach, based on Trigger Questions, Through Measures of Mental Workload and Efficiency 10th International Conference on Computer Supported Education 2018 Cognitive Load Theory • Cognitive Load Measurement • Cognitivism • Social Constructivism • Trigger Questions • Concept Maps • Performance • Efficiency • Education • Instructional Design
10.5220/0006790702920302
41Longo 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 Human Mental Workload • Cognitive Load Theory • Instructional Design • Education
10.5220/0006801801660178
40Kelly 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
39Longo 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
38Marochko 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
37Rizzo 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
36Melnikov 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
35Rizzo 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
34Rogers 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
33Mccartney 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
32Lynch 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
31Balfe 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
30Longo 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
29Longo 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
28Rizzo 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
27Moustafa 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
26Longo 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
25Longo L.Mental workload in medicine: foundations, applications, open problems, challenges and future perspectives IEEE 29th International Symposium on Computer-Based Medical Systems 2016 Mental workload • Medicine • Health-care • System design • Performance • Safety • Critical systems
24Rizzo 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
23Longo L.Designing medical interactive systems via assessment of human mental workload IEEE 28th International Symposium on Computer-Based Medical Systems 2015 Human Mental Workload • Interactive Systems • Medical applications • Human-Computer Interaction
22Longo L., Dondio P.On the relationship between perception of usability and subjective mental workload of web interfaces IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology 2015 Usability • Mental Workload • Web-design • A/B testing • Human-Computer Interaction
21Longo 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
20Dondio 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
19Longo 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
18Longo 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
17Longo 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
16Longo 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
15Longo 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
14Longo L. Rusconi F. Noce L. Barrett S.The Importance of Human Mental Workload in Web Design 8th International Conference on Web Information Systems and Technologies 2012 Human Mental Workload • Interaction Design • Web Design • Usability • Human Factor • Human-Computer Interaction
13Mulwa 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 Personalised Information Retrieval • User-Centred Evaluation • Layered Evaluation
10.14236/ewic/IUBICOM2011.9
12Dondio 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
11Longo 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
10Longo L., Kane B.A novel methodology for evaluating user interfaces in health care 24th International Symposium on Computer-Based Medical Systems 2011 Nasa Task Load Index • Usability • Health-care • Mental Workload • Human-Computer Interaction
9Longo L., Cognitive Effort for Multi Agent Systems International Conference on Brain Informatics 2010 Cognitive Effort • Multi-agent systems • Mental Workload
10.1007/978-3-642-15314-3_6
8Longo 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
7Longo L., Barrett S.A Computational Analysis of Cognitive Effort Intelligent Information and Database Systems 2010 Cognitive Effort • Artificial Intelligence • Virtual Agents • Modeling • Mental Workload
6Longo 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
5Longo 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
4Longo L., Barrett S., Dondio P.Information foraging theory as a form of collective intelligence for social search International Conference on Computational Collective Intelligence 2009 Collective Intelligence • Social Search • Computational Trust • Human-Computer Interaction
3Longo L., Barrett S., Dondio P.Toward Social Search-From Explicit to Implicit Collaboration to Predict Users' Interests 5th International Conference on Web Information Systems and Technologies 2009 Social Search • User Behavior • Computational Trust • Web Site Classification • Human-Computer Interaction
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
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