default search action
Luca Longo
Person information
- affiliation: Trinity College Dublin, Dublin Institute of Technology, Ireland
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
- [j25]Sabatina Criscuolo
, Andrea Apicella
Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals. Comput. Stand. Interfaces 92: 103897 (2025) - 2024
- [j24]Awais Manzoor
A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners. IEEE Access 12: 70434-70463 (2024) - [j23]Luca Longo
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion 106: 102301 (2024) - [j22]Lucas Rizzo
A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI. Mach. Learn. Knowl. Extr. 6(3): 2049-2073 (2024) - [j21]Utkarsh Lal
Fractal dimensions and machine learning for detection of Parkinson's disease in resting-state electroencephalography. Neural Comput. Appl. 36(15): 8257-8280 (2024) - [j20]Kyle Hamilton, Aparna Nayak, Bojan Bozic, Luca Longo:
Is neuro-symbolic AI meeting its promises in natural language processing? A structured review. Semantic Web 15(4): 1265-1306 (2024) - [c74]Kyle Hamilton
GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text. WWW (Companion Volume) 2024: 1431-1440 - [c73]Oleksandr Davydko
SRFAMap: A Method for Mapping Integrated Gradients of a CNN Trained with Statistical Radiomic Features to Medical Image Saliency Maps. xAI (4) 2024: 3-23 - [c72]Arjun Vinayak Chikkankod, Luca Longo:
A proposal for improving EEG microstate generation via interpretable deep clustering with convolutional autoencoders. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 25-32 - [c71]Ephrem Tibebe Mekonnen, Luca Longo, Pierpaolo Dondio:
Interpreting Black-Box Time Series Classifiers using Parameterised Event Primitives. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 65-72 - [c70]Vladimir Marochko, Luca Longo:
Enhancing the analysis of the P300 event-related potential with integrated gradients on a convolutional neural network trained with superlets. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 145-152 - [c69]Weronika Hryniewska-Guzik
CNN-Based Explanation Ensembling for Dataset, Representation and Explanations Evaluation. xAI (2) 2024: 346-368 - [c68]Bujar Raufi, Ciaran Finnegan, Luca Longo
A Comparative Analysis of SHAP, LIME, ANCHORS, and DICE for Interpreting a Dense Neural Network in Credit Card Fraud Detection. xAI (4) 2024: 365-383 - [e17]Luca Longo
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part I. Communications in Computer and Information Science 2153, Springer 2024, ISBN 978-3-031-63786-5 [contents] - [e16]Luca Longo
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part II. Communications in Computer and Information Science 2154, Springer 2024, ISBN 978-3-031-63796-4 [contents] - [e15]Luca Longo
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part III. Communications in Computer and Information Science 2155, Springer 2024, ISBN 978-3-031-63799-5 [contents] - [e14]Luca Longo
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part IV. Communications in Computer and Information Science 2156, Springer 2024, ISBN 978-3-031-63802-2 [contents] - [e13]Luca Longo, Weiru Liu, Grégoire Montavon:
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), Valletta, Malta, July 17-19, 2024. CEUR Workshop Proceedings 3793, CEUR-WS.org 2024 [contents] - [i15]Weronika Hryniewska-Guzik, Luca Longo, Przemyslaw Biecek:
CNN-based explanation ensembling for dataset, representation and explanations evaluation. CoRR abs/2404.10387 (2024) - [i14]Kyle Hamilton, Luca Longo, Bojan Bozic:
GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text. CoRR abs/2407.11827 (2024) - 2023
- [j19]Lucas Rizzo
Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts. Inf. Fusion 89: 537-566 (2023) - [j18]Taufique Ahmed
Interpreting Disentangled Representations of Person-Specific Convolutional Variational Autoencoders of Spatially Preserving EEG Topographic Maps via Clustering and Visual Plausibility. Inf. 14(9): 489 (2023) - [j17]Aparna Nayak
Data Quality Assessment and Recommendation of Feature Selection Algorithms: An Ontological Approach. J. Web Eng. 22(1): 175-196 (2023) - [j16]Robert S. Sullivan
Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations. Mach. Learn. Knowl. Extr. 5(4): 1433-1455 (2023) - [c67]Giulia Vilone, Luca Longo:
An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 53-58 - [c66]Taufique Ahmed, Luca Longo:
Latent Space Interpretation and Visualisation for Understanding the Decisions of Convolutional Variational Autoencoders Trained with EEG Topographic Maps. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 65-70 - [c65]Ephrem Tibebe Mekonnen, Pierpaolo Dondio, Luca Longo:
Explaining Deep Learning Time Series Classification Models using a Decision Tree-Based Post-Hoc XAI Method. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 71-76 - [c64]Robert S. Sullivan, Luca Longo:
Optimizing Deep Q-Learning Experience Replay with SHAP Explanations: Exploring Minimum Experience Replay Buffer Sizes in Reinforcement Learning. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 89-94 - [c63]Carlos Gómez-Tapia
Investigating the Effect of Pre-processing Methods on Model Decision-Making in EEG-Based Person Identification. xAI (3) 2023: 131-152 - [c62]Luca Longo:
Preface. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023 - [c61]Giulia Vilone
Development of a Human-Centred Psychometric Test for the Evaluation of Explanations Produced by XAI Methods. xAI (3) 2023: 205-232 - [c60]Anastasia Natsiou, Seán O'Leary, Luca Longo
An Exploration of the Latent Space of a Convolutional Variational Autoencoder for the Generation of Musical Instrument Tones. xAI (3) 2023: 470-486 - [c59]Oleksandr Davydko
Selecting Textural Characteristics of Chest X-Rays for Pneumonia Lesions Classification with the Integrated Gradients XAI Attribution Method. xAI (1) 2023: 671-687 - [e12]Luca Longo
Artificial Intelligence and Cognitive Science - 30th Irish Conference, AICS 2022, Munster, Ireland, December 8-9, 2022, Revised Selected Papers. Communications in Computer and Information Science 1662, Springer 2023, ISBN 978-3-031-26437-5 [contents] - [e11]Luca Longo
Explainable Artificial Intelligence - First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part I. Communications in Computer and Information Science 1901, Springer 2023, ISBN 978-3-031-44063-2 [contents] - [e10]Luca Longo
Explainable Artificial Intelligence - First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part II. Communications in Computer and Information Science 1902, Springer 2023, ISBN 978-3-031-44066-3 [contents] - [e9]Luca Longo
Explainable Artificial Intelligence - First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part III. Communications in Computer and Information Science 1903, Springer 2023, ISBN 978-3-031-44069-4 [contents] - [e8]Luca Longo:
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), Lisbon, Portugal, July 26-28, 2023. CEUR Workshop Proceedings 3554, CEUR-WS.org 2023 [contents] - [i13]Anastasia Natsiou, Luca Longo
An investigation of the reconstruction capacity of stacked convolutional autoencoders for log-mel-spectrograms. CoRR abs/2301.07665 (2023) - [i12]Lucas Rizzo, Luca Longo:
A novel structured argumentation framework for improved explainability of classification tasks. CoRR abs/2306.15500 (2023) - [i11]Anastasia Natsiou, Luca Longo, Seán O'Leary:
Interpretable Timbre Synthesis using Variational Autoencoders Regularized on Timbre Descriptors. CoRR abs/2307.10283 (2023) - [i10]Luca Longo
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR abs/2310.19775 (2023) - 2022
- [j15]Taufique Ahmed
Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands. IEEE Access 10: 107575-107586 (2022) - [j14]Luca Longo
Evaluating instructional designs with mental workload assessments in university classrooms. Behav. Inf. Technol. 41(6): 1199-1229 (2022) - [j13]Carlos Gómez-Tapia, Bojan Bozic, Luca Longo
On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications. Frontiers Neuroinformatics 16: 844667 (2022) - [j12]Bujar Raufi
An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload. Frontiers Neuroinformatics 16: 861967 (2022) - [j11]Arjun Vinayak Chikkankod
On the Dimensionality and Utility of Convolutional Autoencoder's Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps. Mach. Learn. Knowl. Extr. 4(4): 1042-1064 (2022) - [c58]Vladimir Marochko
A Survey on the Application of Virtual Reality in Event-Related Potential Research. CD-MAKE 2022: 256-269 - [c57]Giulia Vilone, Luca Longo:
An XAI method for the Automatic Formation of an Abstract Argumentation Framework from a Neural Network and its Objective Evaluation. ArgXAI@COMMA 2022 - [c56]Oleksandr Davydko, Olena Horodetska, Ievgen Nastenko, Yaroslav Hladkyi
A Pipeline for the Diagnosis and Classification of Lung Lesions for Patients with COVID-19. CSIT 2022: 551-554 - [c55]Aparna Nayak
An Ontological Approach for Recommending a Feature Selection Algorithm. ICWE 2022: 300-314 - [c54]Giulia Vilone
A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence. AIAI (1) 2022: 447-460 - [c53]Anastasia Natsiou, Luca Longo
An investigation of the reconstruction capacity of stacked convolutional autoencoders for log-mel-spectrograms. SITIS 2022: 155-162 - [i9]Kyle Hamilton, Aparna Nayak, Bojan Bozic, Luca Longo:
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review. CoRR abs/2202.12205 (2022) - [i8]Bujar Raufi, Luca Longo:
An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload. CoRR abs/2202.12937 (2022) - [i7]Lucas Rizzo, Luca Longo
Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts. CoRR abs/2206.13959 (2022) - [i6]Luca Longo
Modeling cognitive load as a self-supervised brain rate with electroencephalography and deep learning. CoRR abs/2209.10992 (2022) - 2021
- [j10]Giulia Vilone, Luca Longo
A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods. Frontiers Artif. Intell. 4: 717899 (2021) - [j9]Giulia Vilone
Notions of explainability and evaluation approaches for explainable artificial intelligence. Inf. Fusion 76: 89-106 (2021) - [j8]Luca Longo
Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning. Knowl. Based Syst. 211: 106514 (2021) - [j7]Giulia Vilone
Classification of Explainable Artificial Intelligence Methods through Their Output Formats. Mach. Learn. Knowl. Extr. 3(3): 615-661 (2021) - [c52]Aparna Nayak
Data Quality Assessment of Comma Separated Values Using Linked Data Approach. BIS (Workshops) 2021: 240-250 - [c51]Luca Longo
A Novel Parabolic Model of Instructional Efficiency Grounded on Ideal Mental Workload and Performance. H-WORKLOAD 2021: 11-36 - [c50]Aparna Nayak
Linked Data Quality Assessment: A Survey. ICWS 2021: 63-76 - [c49]Aparna Nayak, Bojan Bozic, Luca Longo:
(Linked) Data Quality Assessment: An Ontological Approach. RuleML+RR (Supplement) 2021 - [c48]Kyle Hamilton, Bojan Bozic, Luca Longo:
Interrupting the Propaganda Supply Chain. KnOD@WWW 2021 - [e7]Luca Longo
Human Mental Workload: Models and Applications - 5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24-26, 2021, Proceedings. Communications in Computer and Information Science 1493, Springer 2021, ISBN 978-3-030-91407-3 [contents] - [i5]Pierpaolo Dondio, Luca Longo:
Weakly Complete Semantics Based on Undecidedness Blocking. CoRR abs/2103.10701 (2021) - 2020
- [j6]Lucas Rizzo
An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems. Expert Syst. Appl. 147: 113220 (2020) - [c47]Bruno Ambrozio, Luca Longo, Lucas Rizzo:
LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study. AICS 2020: 25-36 - [c46]Lucas Rizzo, Pierpaolo Dondio, Luca Longo:
Exploring the potential of defeasible argumentation for quantitative inferences in real-world contexts: An assessment of computational trust. AICS 2020: 37-48 - [c45]Giulia Vilone, Lucas Rizzo, Luca Longo:
A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence. AICS 2020: 85-96 - [c44]Luca Longo
Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions. CD-MAKE 2020: 1-16 - [c43]Giuliano Orru, Luca Longo
Direct and Constructivist Instructional Design: A Comparison of Efficiency Using Mental Workload and Task Performance. H-WORKLOAD 2020: 99-123 - [c42]Enrique Muñoz-de-Escalona
Task Demand Transition Peak Point Effects on Mental Workload Measures Divergence. H-WORKLOAD 2020: 207-226 - [e6]Luca Longo, Lucas Rizzo, Elizabeth Hunter, Arjun Pakrashi:
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020. CEUR Workshop Proceedings 2771, CEUR-WS.org 2020 [contents] - [e5]Luca Longo
Human Mental Workload: Models and Applications - 4th International Symposium, H-WORKLOAD 2020, Granada, Spain, December 3-5, 2020, Proceedings. Communications in Computer and Information Science 1318, Springer 2020, ISBN 978-3-030-62301-2 [contents] - [i4]Giulia Vilone, Luca Longo:
Explainable Artificial Intelligence: a Systematic Review. CoRR abs/2006.00093 (2020)
2010 – 2019
- 2019
- [j5]Pierpaolo Dondio, Luca Longo
Preface to the Special Issue on Advances in Argumentation in Artificial Intelligence. Intelligenza Artificiale 13(2): 121-122 (2019) - [j4]Pierpaolo Dondio
Beyond reasonable doubt: A proposal for undecidedness blocking in abstract argumentation. Intelligenza Artificiale 13(2): 123-135 (2019) - [c41]Ekaterina Yashkina, Arseny Pinigin, Jooyoung Lee, Manuel Mazzara
Expressing Trust with Temporal Frequency of User Interaction in Online Communities. AINA 2019: 1133-1146 - [c40]Giuliano Orru, Luca Longo
Direct Instruction and Its Extension with a Community of Inquiry: A Comparison of Mental Workload, Performance and Efficiency. CSEDU (1) 2019: 436-444 - [e4]Pierpaolo Dondio, Luca Longo:
Proceedings of the 2nd Workshop on Advances In Argumentation In Artificial Intelligence, co-located with XVII International Conference of the Italian Association for Artificial Intelligence, AI³@AI*IA 2018, 20-23 November 2018, Trento, Italy. CEUR Workshop Proceedings 2296, CEUR-WS.org 2019 [contents] - [e3]Luca Longo
Human Mental Workload: Models and Applications - Second International Symposium, H-WORKLOAD 2018, Amsterdam, The Netherlands, September 20-21, 2018, Revised Selected Papers. Communications in Computer and Information Science 1012, Springer 2019, ISBN 978-3-030-14272-8 [contents] - [e2]Luca Longo
Human Mental Workload: Models and Applications - Third International Symposium, H-WORKLOAD 2019, Rome, Italy, November 14-15, 2019, Proceedings. Communications in Computer and Information Science 1107, Springer 2019, ISBN 978-3-030-32422-3 [contents] - [i3]Ekaterina Yashkina, Arseny Pinigin, Jooyoung Lee, Manuel Mazzara, Akinlolu Solomon Adekotujo, Adam Zubair, Luca Longo:
Expressing Trust with Temporal Frequency of User Interaction in Online Communities. CoRR abs/1903.05981 (2019) - 2018
- [c39]Lucas Rizzo, Luca Longo:
A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning. AICS 2018: 138-149 - [c38]Lucas Rizzo, Luca Longo:
Inferential Models of Mental Workload with Defeasible Argumentation and Non-monotonic Fuzzy Reasoning: a Comparative Study. AI³@AI*IA 2018: 11-26 - [c37]Lucas Rizzo
A Comparative Study of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning for Elderly Survival Prediction Using Biomarkers. AI*IA 2018: 197-209 - [c36]Almaz Melnikov, Jooyoung Lee, Victor Rivera, Manuel Mazzara
Towards Dynamic Interaction-Based Reputation Models. AINA 2018: 422-428 - [c35]Vladimir Marochko
Pseudorehearsal in Actor-Critic Agents with Neural Network Function Approximation. AINA 2018: 644-650 - [c34]Luca Longo
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. CSEDU (2) 2018: 166-178 - [c33]Giuliano Orru, Federico Gobbo, Declan O'Sullivan
An Investigation of the Impact of a Social Constructivist Teaching Approach, based on Trigger Questions, Through Measures of Mental Workload and Efficiency. CSEDU (2) 2018: 292-302 - [c32]Luca Longo
An Evaluation of the Reliability, Validity and Sensitivity of Three Human Mental Workload Measures Under Different Instructional Conditions in Third-Level Education. CSEDU (Selected Papers) 2018: 384-413 - [c31]Giuliano Orru, Luca Longo
The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane Loads: A Review. H-WORKLOAD 2018: 23-48 - [c30]Karim Moustafa, Luca Longo
Analysing the Impact of Machine Learning to Model Subjective Mental Workload: A Case Study in Third-Level Education. H-WORKLOAD 2018: 92-111 - [c29]Ademar Crotti Junior
On the Mental Workload Assessment of Uplift Mapping Representations in Linked Data. H-WORKLOAD 2018: 160-179 - [c28]Paul Kelly, Luca Longo
An Investigation into the Effects of Multiple Kernel Combinations on Solutions Spaces in Support Vector Machines. AIAI 2018: 157-167 - [c27]Lucas Rizzo
An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers. AIAI 2018: 385-397 - [i2]Almaz Melnikov, Manuel Mazzara, Victor Rivera, Jooyoung Lee, Luca Longo:
Towards dynamic interaction-based model. CoRR abs/1801.03904 (2018) - 2017
- [c26]Noel Rogers, Luca Longo:
A Comparison on the Classification of Short-text Documents Using Latent Dirichlet Allocation and Formal Concept Analysis. AICS 2017: 50-62 - [c25]Austin Mccartney, Svetlana Hensman, Luca Longo:
How Short is a Piece of String? : The Impact of Text Length and Text Augmentation on Short-text Classification. AICS 2017: 102-114 - [c24]Steven Lynch, Luca Longo:
On the Relationship between Sampling Rate and Hidden Markov Models Accuracy in Non-Intrusive Load Monitoring. AICS 2017: 180-192 - [c23]Lucas Rizzo, Luca Longo:
Representing and Inferring Mental Workload via Defeasible Reasoning: A Comparison with the NASA Task Load Index and the Workload Profile. AI³@AI*IA 2017: 126-140 - [c22]Karim Moustafa, Saturnino Luz, Luca Longo
Assessment of Mental Workload: A Comparison of Machine Learning Methods and Subjective Assessment Techniques. H-WORKLOAD 2017: 30-50 - [c21]Nora Balfe, Katie Crowley
Estimation of Train Driver Workload: Extracting Taskload Measures from On-Train-Data-Recorders. H-WORKLOAD 2017: 106-119 - [c20]Luca Longo
Subjective Usability, Mental Workload Assessments and Their Impact on Objective Human Performance. INTERACT (2) 2017: 202-223 - [e1]Luca Longo
Human Mental Workload: Models and Applications - First International Symposium, H-WORKLOAD 2017, Dublin, Ireland, June 28-30, 2017, Revised Selected Papers. Communications in Computer and Information Science 726, Springer 2017, ISBN 978-3-319-61060-3 [contents] - [i1]Vladimir Marochko, Leonard Johard, Manuel Mazzara, Luca Longo:
Pseudorehearsal in actor-critic agents with neural network function approximation. CoRR abs/1712.07686 (2017) - 2016
- [c19]Luca Longo
Mental Workload in Medicine: Foundations, Applications, Open Problems, Challenges and Future Perspectives. CBMS 2016: 106-111 - [c18]Lucas Rizzo
Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile. AIAI 2016: 215-229 - [p2]Luca Longo
Argumentation for Knowledge Representation, Conflict Resolution, Defeasible Inference and Its Integration with Machine Learning. Machine Learning for Health Informatics 2016: 183-208 - 2015
- [j3]Luca Longo
A defeasible reasoning framework for human mental workload representation and assessment. Behav. Inf. Technol. 34(8): 758-786 (2015) - [c17]Luca Longo
Designing Medical Interactive Systems Via Assessment of Human Mental Workload. CBMS 2015: 364-365 - [c16]Luca Longo
On the Relationship between Perception of Usability and Subjective Mental Workload of Web Interfaces. WI-IAT (1) 2015: 345-352 - 2014
- [b1]Luca Longo:
Formalising Human Mental Workload as a Defeasible Computational Concept. Trinity College Dublin, Ireland, 2014 - [c15]Luca Longo
Defeasible Reasoning and Argument-Based Systems in Medical Fields: An Informal Overview. CBMS 2014: 376-381 - [c14]Pierpaolo Dondio
Computing Trust as a Form of Presumptive Reasoning. WI-IAT (1) 2014: 274-281 - 2013
- [c13]Luca Longo
Argumentation Theory for Decision Support in Health-Care: A Comparison with Machine Learning. Brain and Health Informatics 2013: 168-180 - 2012
- [c12]Luca Longo
Argumentation theory in health care. CBMS 2012: 1-6 - [c11]Luca Longo
Formalising Human Mental Workload as Non-monotonic Concept for Adaptive and Personalised Web-Design. UMAP 2012: 369-373 - [c10]Luca Longo, Fabio Rusconi, Lucia Noce, Stephen Barrett:
The Importance of Human Mental Workload in Web Design. WEBIST 2012: 403-409 - 2011
- [c9]Luca Longo
A novel methodology for evaluating user interfaces in health care. CBMS 2011: 1-6 - [c8]Anna Calabrese, Andrea Pellegrino, Riccardo Po, Nicola Perin, Alessandra Tacca, Luca Longo, Nadia Camaioni, Francesca Tinti
Design, Synthesis, Characterization and Use of Random Conjugated Copolymers for Optoelectronic Applications. DoCEIS 2011: 596-603 - [c7]Luca Longo
Human-Computer Interaction and Human Mental Workload: Assessing Cognitive Engagement in the World Wide Web. INTERACT (4) 2011: 402-405 - [p1]Pierpaolo Dondio
Trust-Based Techniques for Collective Intelligence in Social Search Systems. Next Generation Data Technologies for Collective Computational Intelligence 2011: 113-135 - 2010
- [j2]Luca Longo
Enhancing Social Search: A Computational Collective Intelligence Model of Behavioural Traits, Trust and Time. Trans. Comput. Collect. Intell. 2: 46-69 (2010) - [c6]Luca Longo
A Computational Analysis of Cognitive Effort. ACIIDS (2) 2010: 65-74 - [c5]Luca Longo
Cognitive Effort for Multi-agent Systems. Brain Informatics 2010: 55-66
2000 – 2009
- 2009
- [c4]Luca Longo
Information Foraging Theory as a Form of Collective Intelligence for Social Search. ICCCI 2009: 63-74 - [c3]Luca Longo, Stephen Barrett, Pierpaolo Dondio:
Toward Social Search - From Explicit to Implicit Collaboration to Predict Users' Interests. WEBIST 2009: 693-696 - 2008
- [c2]Pierpaolo Dondio
A Translation Mechanism for Recommendations. IFIPTM 2008: 87-102 - 2007
- [c1]Luca Longo
Temporal factors to evaluate trustworthiness of virtual identities. SecureComm 2007: 11-19
1990 – 1999
- 1996
- [j1]Giuseppe Caire, Carlo Elia, Luca Longo, Roberto Viola:
A study for interactive TV via satellite. Eur. Trans. Telecommun. 7(4): 335-347 (1996)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: