Luca Longo

Orcid: 0000-0002-2718-5426

Affiliations:
  • Trinity College Dublin, Dublin Institute of Technology, Ireland


According to our database1, Luca Longo authored at least 109 papers between 1996 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Bibliography

2025
Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals.
Comput. Stand. Interfaces, 2025

2024
A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI.
Mach. Learn. Knowl. Extr., September, 2024

Fractal dimensions and machine learning for detection of Parkinson's disease in resting-state electroencephalography.
Neural Comput. Appl., May, 2024

Is neuro-symbolic AI meeting its promises in natural language processing? A structured review.
Semantic Web, 2024

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions.
Inf. Fusion, 2024

A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners.
IEEE Access, 2024

A Comparative Analysis of SHAP, LIME, ANCHORS, and DICE for Interpreting a Dense Neural Network in Credit Card Fraud Detection.
Proceedings of the Explainable Artificial Intelligence, 2024

Interpreting Black-Box Time Series Classifiers using Parameterised Event Primitives.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Enhancing the analysis of the P300 event-related potential with integrated gradients on a convolutional neural network trained with superlets.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

CNN-Based Explanation Ensembling for Dataset, Representation and Explanations Evaluation.
Proceedings of the Explainable Artificial Intelligence, 2024

SRFAMap: A Method for Mapping Integrated Gradients of a CNN Trained with Statistical Radiomic Features to Medical Image Saliency Maps.
Proceedings of the Explainable Artificial Intelligence, 2024

A proposal for improving EEG microstate generation via interpretable deep clustering with convolutional autoencoders.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023
Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations.
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

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

Preface.
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

An Ontological Approach for Recommending a Feature Selection Algorithm.
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

A Survey on the Application of Virtual Reality in Event-Related Potential Research.
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

Weakly Complete Semantics Based on Undecidedness Blocking.
CoRR, 2021

Interrupting the Propaganda Supply Chain.
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

(Linked) Data Quality Assessment: An Ontological Approach.
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

Linked Data Quality Assessment: A Survey.
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

Data Quality Assessment of Comma Separated Values Using Linked Data Approach.
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

Explainable Artificial Intelligence: a Systematic Review.
CoRR, 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

Task Demand Transition Peak Point Effects on Mental Workload Measures Divergence.
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

LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study.
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

Expressing Trust with Temporal Frequency of User Interaction in Online Communities.
Proceedings of the Advanced Information Networking and Applications, 2019

2018
Towards dynamic interaction-based model.
CoRR, 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

On the Mental Workload Assessment of Uplift Mapping Representations in Linked Data.
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

Towards Dynamic Interaction-Based Reputation Models.
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018

Pseudorehearsal in Actor-Critic Agents with Neural Network Function Approximation.
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

Designing Medical Interactive Systems Via Assessment of Human Mental Workload.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014
Formalising Human Mental Workload as a Defeasible Computational Concept
PhD thesis, 2014

Computing Trust as a Form of Presumptive Reasoning.
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

Argumentation theory in health care.
Proceedings of CBMS 2012, 2012

2011
Trust-Based Techniques for Collective Intelligence in Social Search Systems.
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

A novel methodology for evaluating user interfaces in health care.
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

Cognitive Effort for Multi-agent Systems.
Proceedings of the Brain Informatics, International Conference, 2010

A Computational Analysis of Cognitive Effort.
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

Information Foraging Theory as a Form of Collective Intelligence for Social Search.
Proceedings of the Computational Collective Intelligence. Semantic Web, 2009

2008
A Translation Mechanism for Recommendations.
Proceedings of the Trust Management II, 2008

2007
Temporal factors to evaluate trustworthiness of virtual identities.
Proceedings of the Third International Conference on Security and Privacy in Communication Networks and the Workshops, 2007

1996
A study for interactive TV via satellite.
Eur. Trans. Telecommun., 1996


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