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Luca Longo
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- affiliation: Trinity College Dublin, Dublin Institute of Technology, Ireland
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2020 – today
- 2024
- [j22]Awais Manzoor
, Muhammad Atif Qureshi, Etain Kidney, Luca Longo
:
A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners. IEEE Access 12: 70434-70463 (2024) - [j21]Luca Longo
, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith
, Simone Stumpf:
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion 106: 102301 (2024) - [j20]Utkarsh Lal
, Arjun Vinayak Chikkankod, Luca Longo:
Fractal dimensions and machine learning for detection of Parkinson's disease in resting-state electroencephalography. Neural Comput. Appl. 36(15): 8257-8280 (2024) - [c68]Kyle Hamilton
, Luca Longo
, Bojan Bozic
:
GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text. WWW (Companion Volume) 2024: 1431-1440 - [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
, Luca Longo
:
Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts. Inf. Fusion 89: 537-566 (2023) - [j18]Taufique Ahmed
, Luca Longo
:
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
, Bojan Bozic, Luca Longo
:
Data Quality Assessment and Recommendation of Feature Selection Algorithms: An Ontological Approach. J. Web Eng. 22(1): 175-196 (2023) - [j16]Robert S. Sullivan
, Luca Longo
:
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
, Bojan Bozic
, Luca Longo
:
Investigating the Effect of Pre-processing Methods on Model Decision-Making in EEG-Based Person Identification. xAI (3) 2023: 131-152 - [c62]Oleksandr Davydko
, Vladimir Pavlov
, Luca Longo
:
Selecting Textural Characteristics of Chest X-Rays for Pneumonia Lesions Classification with the Integrated Gradients XAI Attribution Method. xAI (1) 2023: 671-687 - [c61]Luca Longo:
Preface. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023 - [c60]Giulia Vilone
, Luca Longo
:
Development of a Human-Centred Psychometric Test for the Evaluation of Explanations Produced by XAI Methods. xAI (3) 2023: 205-232 - [c59]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 - [e12]Luca Longo
, Ruairi O'Reilly
:
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
, Seán O'Leary:
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
, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf:
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR abs/2310.19775 (2023) - 2022
- [j15]Taufique Ahmed
, Luca Longo
:
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
, Giuliano Orru:
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
, Luca Longo
:
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
, Luca Longo
:
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
, Richard Reilly, Rachel McDonnell, Luca Longo
:
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, Vladimir Pavlov, Luca Longo
, Mykola Linnik, Oleksandr Galkin:
A Pipeline for the Diagnosis and Classification of Lung Lesions for Patients with COVID-19. CSIT 2022: 551-554 - [c55]Aparna Nayak
, Bojan Bozic
, Luca Longo
:
An Ontological Approach for Recommending a Feature Selection Algorithm. ICWE 2022: 300-314 - [c54]Giulia Vilone
, Luca Longo
:
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
, Seán O'Leary:
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
, Luca Longo
:
Notions of explainability and evaluation approaches for explainable artificial intelligence. Inf. Fusion 76: 89-106 (2021) - [j8]Luca Longo
, Lucas Rizzo
, Pierpaolo Dondio:
Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning. Knowl. Based Syst. 211: 106514 (2021) - [j7]Giulia Vilone
, Luca Longo
:
Classification of Explainable Artificial Intelligence Methods through Their Output Formats. Mach. Learn. Knowl. Extr. 3(3): 615-661 (2021) - [c52]Aparna Nayak
, Bojan Bozic
, Luca Longo
:
Data Quality Assessment of Comma Separated Values Using Linked Data Approach. BIS (Workshops) 2021: 240-250 - [c51]Luca Longo
, Murali Rajendran:
A Novel Parabolic Model of Instructional Efficiency Grounded on Ideal Mental Workload and Performance. H-WORKLOAD 2021: 11-36 - [c50]Aparna Nayak
, Bojan Bozic
, Luca Longo
:
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
, Maria Chiara Leva
:
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
, Luca Longo
:
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
, Randy Goebel
, Freddy Lécué
, Peter Kieseberg
, Andreas Holzinger
:
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
, José Juan Cañas, Maria Chiara Leva, Luca Longo
:
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
, Maria Chiara Leva
:
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
, Stefano Bistarelli:
Preface to the Special Issue on Advances in Argumentation in Artificial Intelligence. Intelligenza Artificiale 13(2): 121-122 (2019) - [j4]Pierpaolo Dondio
, Luca Longo
:
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
, Akinlolu Solomon Adekotujo, Adam Zubair, Luca Longo
:
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
, Maria Chiara Leva:
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
, Maria Chiara Leva:
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
, Ljiljana Majnaric
, Luca Longo
:
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
, Luca Longo
:
Towards Dynamic Interaction-Based Reputation Models. AINA 2018: 422-428 - [c35]Vladimir Marochko
, Leonard Johard, Manuel Mazzara
, Luca Longo
:
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
, Luca Longo
:
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
, Giuliano Orru:
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
, Christophe Debruyne
, Luca Longo
, Declan O'Sullivan
:
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
, Ljiljana Majnaric
, Pierpaolo Dondio
, Luca Longo
:
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
, Brendan Smith, Luca Longo
:
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
, Maria Chiara Leva
:
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
, Pierpaolo Dondio
, Sarah Jane Delany
, Luca Longo
:
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
, Pierpaolo Dondio
:
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
, Pierpaolo Dondio
:
Defeasible Reasoning and Argument-Based Systems in Medical Fields: An Informal Overview. CBMS 2014: 376-381 - [c14]Pierpaolo Dondio
, Luca Longo
:
Computing Trust as a Form of Presumptive Reasoning. WI-IAT (1) 2014: 274-281 - 2013
- [c13]Luca Longo
, Lucy Hederman
:
Argumentation Theory for Decision Support in Health-Care: A Comparison with Machine Learning. Brain and Health Informatics 2013: 168-180 - 2012
- [c12]Luca Longo
, Bridget Kane
, Lucy Hederman
:
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
, Bridget Kane
:
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
, Siraye E. Debebe, Salvatore Patanè
, Alfio Consoli:
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
, Luca Longo
:
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
, Pierpaolo Dondio
, Stephen Barrett:
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
, Stephen Barrett:
A Computational Analysis of Cognitive Effort. ACIIDS (2) 2010: 65-74 - [c5]Luca Longo
, Stephen Barrett:
Cognitive Effort for Multi-agent Systems. Brain Informatics 2010: 55-66
2000 – 2009
- 2009
- [c4]Luca Longo
, Stephen Barrett, Pierpaolo Dondio
:
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
, Luca Longo
, Stephen Barrett:
A Translation Mechanism for Recommendations. IFIPTM 2008: 87-102 - 2007
- [c1]Luca Longo
, Pierpaolo Dondio
, Stephen Barrett:
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
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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last updated on 2024-08-23 19:27 CEST by the dblp team
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