Luca Longo
Orcid: 0000-0002-2718-5426Affiliations:
- Trinity College Dublin, Dublin Institute of Technology, Ireland
According to our database1,
Luca Longo
authored at least 97 papers
between 1996 and 2024.
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Online presence:
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on orcid.org
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on d-nb.info
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on lucalongo.eu
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Bibliography
2024
Fractal dimensions and machine learning for detection of Parkinson's disease in resting-state electroencephalography.
Neural Comput. Appl., May, 2024
2023
Mach. Learn. Knowl. Extr., December, 2023
Data Quality Assessment and Recommendation of Feature Selection Algorithms: An Ontological Approach.
J. Web Eng., 2023
Interpreting Disentangled Representations of Person-Specific Convolutional Variational Autoencoders of Spatially Preserving EEG Topographic Maps via Clustering and Visual Plausibility.
Inf., 2023
Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts.
Inf. Fusion, 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions.
CoRR, 2023
Interpretable Timbre Synthesis using Variational Autoencoders Regularized on Timbre Descriptors.
CoRR, 2023
A novel structured argumentation framework for improved explainability of classification tasks.
CoRR, 2023
An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks.
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023
Development of a Human-Centred Psychometric Test for the Evaluation of Explanations Produced by XAI Methods.
Proceedings of the Explainable Artificial Intelligence, 2023
Optimizing Deep Q-Learning Experience Replay with SHAP Explanations: Exploring Minimum Experience Replay Buffer Sizes in Reinforcement Learning.
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023
An Exploration of the Latent Space of a Convolutional Variational Autoencoder for the Generation of Musical Instrument Tones.
Proceedings of the Explainable Artificial Intelligence, 2023
Explaining Deep Learning Time Series Classification Models using a Decision Tree-Based Post-Hoc XAI Method.
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023
Investigating the Effect of Pre-processing Methods on Model Decision-Making in EEG-Based Person Identification.
Proceedings of the Explainable Artificial Intelligence, 2023
Selecting Textural Characteristics of Chest X-Rays for Pneumonia Lesions Classification with the Integrated Gradients XAI Attribution Method.
Proceedings of the Explainable Artificial Intelligence, 2023
Latent Space Interpretation and Visualisation for Understanding the Decisions of Convolutional Variational Autoencoders Trained with EEG Topographic Maps.
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023
2022
On the Dimensionality and Utility of Convolutional Autoencoder's Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps.
Mach. Learn. Knowl. Extr., December, 2022
An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload.
Frontiers Neuroinformatics, 2022
On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications.
Frontiers Neuroinformatics, 2022
Modeling cognitive load as a self-supervised brain rate with electroencephalography and deep learning.
CoRR, 2022
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review.
CoRR, 2022
Evaluating instructional designs with mental workload assessments in university classrooms.
Behav. Inf. Technol., 2022
Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands.
IEEE Access, 2022
An investigation of the reconstruction capacity of stacked convolutional autoencoders for log-mel-spectrograms.
Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022
A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022
Proceedings of the Web Engineering - 22nd International Conference, 2022
A Pipeline for the Diagnosis and Classification of Lung Lesions for Patients with COVID-19.
Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022
An XAI method for the Automatic Formation of an Abstract Argumentation Framework from a Neural Network and its Objective Evaluation.
Proceedings of the 1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), 2022
Proceedings of the Machine Learning and Knowledge Extraction, 2022
2021
Classification of Explainable Artificial Intelligence Methods through Their Output Formats.
Mach. Learn. Knowl. Extr., 2021
Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning.
Knowl. Based Syst., 2021
Notions of explainability and evaluation approaches for explainable artificial intelligence.
Inf. Fusion, 2021
A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods.
Frontiers Artif. Intell., 2021
Proceedings of the 1st International Workshop on Knowledge Graphs for Online Discourse Αnalysis (KnOD 2021) co-located with the 30th The Web Conference (WWW 2021), 2021
Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School (RW 2021) and 13th DecisionCAMP 2021 as part of Declarative AI 2021, Leuven, Belgium (virtual due to Covid-19 pandemic), 8, 2021
Proceedings of the Web Services - ICWS 2021, 2021
A Novel Parabolic Model of Instructional Efficiency Grounded on Ideal Mental Workload and Performance.
Proceedings of the Human Mental Workload: Models and Applications, 2021
Proceedings of the Business Information Systems Workshops, 2021
2020
An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems.
Expert Syst. Appl., 2020
Direct and Constructivist Instructional Design: A Comparison of Efficiency Using Mental Workload and Task Performance.
Proceedings of the Human Mental Workload: Models and Applications, 2020
Proceedings of the Human Mental Workload: Models and Applications, 2020
Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions.
Proceedings of the Machine Learning and Knowledge Extraction, 2020
A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence.
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, 2020
Exploring the potential of defeasible argumentation for quantitative inferences in real-world contexts: An assessment of computational trust.
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, 2020
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, 2020
2019
Preface to the Special Issue on Advances in Argumentation in Artificial Intelligence.
Intelligenza Artificiale, 2019
Beyond reasonable doubt: A proposal for undecidedness blocking in abstract argumentation.
Intelligenza Artificiale, 2019
Direct Instruction and Its Extension with a Community of Inquiry: A Comparison of Mental Workload, Performance and Efficiency.
Proceedings of the 11th International Conference on Computer Supported Education, 2019
Proceedings of the Advanced Information Networking and Applications, 2019
2018
An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
An Investigation into the Effects of Multiple Kernel Combinations on Solutions Spaces in Support Vector Machines.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane Loads: A Review.
Proceedings of the Human Mental Workload: Models and Applications, 2018
Analysing the Impact of Machine Learning to Model Subjective Mental Workload: A Case Study in Third-Level Education.
Proceedings of the Human Mental Workload: Models and Applications, 2018
Proceedings of the Human Mental Workload: Models and Applications, 2018
An Investigation of the Impact of a Social Constructivist Teaching Approach, based on Trigger Questions, Through Measures of Mental Workload and Efficiency.
Proceedings of the 10th International Conference on Computer Supported Education, 2018
An Evaluation of the Reliability, Validity and Sensitivity of Three Human Mental Workload Measures Under Different Instructional Conditions in Third-Level Education.
Proceedings of the Computer Supported Education - 10th International Conference, 2018
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.
Proceedings of the 10th International Conference on Computer Supported Education, 2018
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018
A Comparative Study of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning for Elderly Survival Prediction Using Biomarkers.
Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018
Inferential Models of Mental Workload with Defeasible Argumentation and Non-monotonic Fuzzy Reasoning: a Comparative Study.
Proceedings of the 2nd Workshop on Advances In Argumentation In Artificial Intelligence, 2018
A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning.
Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018
2017
Subjective Usability, Mental Workload Assessments and Their Impact on Objective Human Performance.
Proceedings of the Human-Computer Interaction - INTERACT 2017, 2017
Assessment of Mental Workload: A Comparison of Machine Learning Methods and Subjective Assessment Techniques.
Proceedings of the Human Mental Workload: Models and Applications, 2017
Estimation of Train Driver Workload: Extracting Taskload Measures from On-Train-Data-Recorders.
Proceedings of the Human Mental Workload: Models and Applications, 2017
Representing and Inferring Mental Workload via Defeasible Reasoning: A Comparison with the NASA Task Load Index and the Workload Profile.
Proceedings of the 1st Workshop on Advances In Argumentation In Artificial Intelligence co-located with XVI International Conference of the Italian Association for Artificial Intelligence, 2017
A Comparison on the Classification of Short-text Documents Using Latent Dirichlet Allocation and Formal Concept Analysis.
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017
How Short is a Piece of String? : The Impact of Text Length and Text Augmentation on Short-text Classification.
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017
On the Relationship between Sampling Rate and Hidden Markov Models Accuracy in Non-Intrusive Load Monitoring.
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017
2016
Argumentation for Knowledge Representation, Conflict Resolution, Defeasible Inference and Its Integration with Machine Learning.
Proceedings of the Machine Learning for Health Informatics, 2016
Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016
Mental Workload in Medicine: Foundations, Applications, Open Problems, Challenges and Future Perspectives.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
2015
A defeasible reasoning framework for human mental workload representation and assessment.
Behav. Inf. Technol., 2015
On the Relationship between Perception of Usability and Subjective Mental Workload of Web Interfaces.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015
2014
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014
Defeasible Reasoning and Argument-Based Systems in Medical Fields: An Informal Overview.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014
2013
Argumentation Theory for Decision Support in Health-Care: A Comparison with Machine Learning.
Proceedings of the Brain and Health Informatics - International Conference, 2013
2012
The Importance of Human Mental Workload in Web Design.
Proceedings of the WEBIST 2012 - Proceedings of the 8th International Conference on Web Information Systems and Technologies, Porto, Portugal, 18, 2012
Formalising Human Mental Workload as Non-monotonic Concept for Adaptive and Personalised Web-Design.
Proceedings of the User Modeling, Adaptation, and Personalization, 2012
2011
Proceedings of the Next Generation Data Technologies for Collective Computational Intelligence, 2011
Human-Computer Interaction and Human Mental Workload: Assessing Cognitive Engagement in the World Wide Web.
Proceedings of the Human-Computer Interaction - INTERACT 2011, 2011
Design, Synthesis, Characterization and Use of Random Conjugated Copolymers for Optoelectronic Applications.
Proceedings of the Technological Innovation for Sustainability, 2011
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011
2010
Enhancing Social Search: A Computational Collective Intelligence Model of Behavioural Traits, Trust and Time.
Trans. Comput. Collect. Intell., 2010
Proceedings of the Brain Informatics, International Conference, 2010
Proceedings of the Intelligent Information and Database Systems, 2010
2009
Toward Social Search - From Explicit to Implicit Collaboration to Predict Users' Interests.
Proceedings of the WEBIST 2009, 2009
Proceedings of the Computational Collective Intelligence. Semantic Web, 2009
2008
Proceedings of the Trust Management II, 2008
2007
Proceedings of the Third International Conference on Security and Privacy in Communication Networks and the Workshops, 2007
1996