| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 9 | Marconi 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 | 
@Article{MarconiLongoCabitza2026, AUTHOR = {Marconi, Luca and Longo, Luca and Cabitza, Federico}, TITLE = {Assessing Interaction Quality in Human–AI Dialogue: An Integrative Review and Multi-Layer Framework for Conversational Agents}, JOURNAL = {Machine Learning and Knowledge Extraction}, VOLUME = {8}, YEAR = {2026}, NUMBER = {2}, ARTICLE-NUMBER = {28}, URL = {https://www.mdpi.com/2504-4990/8/2/28}, ISSN = {2504-4990}, DOI = {10.3390/make8020028} } [Close]
| interaction quality • human–AI interaction • conversational agents • chatbots • human–AI dialogue • large language models (LLMs) • user experience (UX) |
| 8 | Holzinger A., Longo L., Cangelosi A., Del Ser J. | Research Frontiers in Machine Learning & Knowledge Extraction | Machine Learning and Knowledge Extraction | 2026 |  
@Article{HolzingerLongo2026, AUTHOR = {Holzinger, Andreas and Longo, Luca and Cangelosi, Angelo and Ser, Javier Del}, TITLE = {Research Frontiers in Machine Learning & Knowledge Extraction}, JOURNAL = {Machine Learning and Knowledge Extraction}, VOLUME = {8}, YEAR = {2026}, NUMBER = {1}, ARTICLE-NUMBER = {6}, URL = {https://www.mdpi.com/2504-4990/8/1/6}, ISSN = {2504-4990}, DOI = {10.3390/make8010006} } [Close]
| machine learning • knowledge extraction • artificial intelligence • future • trends • Frontiers |
| 7 | Rizzo 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 | 
@Article{LongoRizzo2024, AUTHOR = {Rizzo, Lucas and Verda, Damiano and Berretta, Serena and Longo, Luca}, TITLE = {A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI}, JOURNAL = {Machine Learning and Knowledge Extraction}, VOLUME = {6}, YEAR = {2024}, NUMBER = {3}, PAGES = {2049--2073}, URL = {https://www.mdpi.com/2504-4990/6/3/101}, ISSN = {2504-4990}, DOI = {10.3390/make6030101} } [Close]
| rule-base AI • explainable artificial intelligence • computational argumentation • defeasible reasoning • Artificial Intelligence |
| 6 | O’ Sullivan R., Longo L | Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations | Machine Learning and Knowledge Extraction | 2023 |
@Article{SullivanLongo2023, AUTHOR = {Sullivan, Robert S. and Longo, Luca}, TITLE = {Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations}, JOURNAL = {Machine Learning and Knowledge Extraction}, VOLUME = {5}, YEAR = {2023}, NUMBER = {4}, PAGES = {1433--1455}, URL = {https://www.mdpi.com/2504-4990/5/4/72}, ISSN = {2504-4990}, DOI = {10.3390/make5040072} } [Close]
| Deep Reinforcement Learning • Experience Replay • SHapley Additive exPlanations • eXplainable Artificial Intelligence • Artificial Intelligence |
| 5 | Chikkankod 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 |
@Article{VinayakLongo2022, AUTHOR = {Chikkankod, Arjun Vinayak and Longo, Luca}, TITLE = {On the Dimensionality and Utility of Convolutional Autoencoder’s Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps}, JOURNAL = {Machine Learning and Knowledge Extraction}, VOLUME = {4}, YEAR = {2022}, NUMBER = {4}, PAGES = {1042--1064}, URL = {https://www.mdpi.com/2504-4990/4/4/53}, ISSN = {2504-4990},, DOI = {10.3390/make4040053} } [Close]
| electroencephalography • latent space analysis • sliding windowing • convolutional autoencoders • automatic feature extraction • dense neural network |
| 4 | Marochko 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 |
@InProceedings{MarochkoLongo2022, author="Marochko, Vladimir and Reilly, Richard and McDonnell, Rachel and Longo, Luca", editor="Holzinger, Andreas and Kieseberg, Peter and Tjoa, A. Min and Weippl, Edgar", title="A Survey on the Application of Virtual Reality in Event-Related Potential Research", booktitle="Machine Learning and Knowledge Extraction", year="2022", publisher="Springer International Publishing", address="Cham", pages="256--269", isbn="978-3-031-14463-9" } [Close]
| Event-related potentials • Virtual reality • Survey |
| 3 | Hamilton K., Božic B., Longo L. | Interrupting the Propaganda Supply Chain | Knowledge Graphs for Online Discourse Analysis | 2021 |
@inproceedings{hamilton2021interrupting, title={Interrupting the Propaganda Supply Chain}, author={Hamilton, Kyle and Bo{\v{z}}i{\'c}, Bojan and Longo, Luca}, year={2021}, booktitle={Knowledge Graphs for Online Discourse Analysis, colocated with the TheWebConf (WWW) 2021}, pages={40-45}, } [Close]
| Propaganda • Semantic Web • Ontological Computation • Machine Learning • Knowledge Extraction • Multidisciplinary |
| 2 | Vilone G., Longo L. | Classification of Explainable Artificial Intelligence Methods through Their Output Formats | Machine Learning and Knowledge Extraction | 2021 |
@Article{Vilone2021Output, AUTHOR = {Vilone, Giulia and Longo, Luca}, TITLE = {Classification of Explainable Artificial Intelligence Methods through Their Output Formats}, JOURNAL = {Machine Learning and Knowledge Extraction}, VOLUME = {3}, YEAR = {2021}, NUMBER = {3}, PAGES = {615--661}, URL = {https://www.mdpi.com/2504-4990/3/3/32}, ISSN = {2504-4990}, DOI = {10.3390/make3030032} } [Close]
| explainable artificial intelligence • method classification • systematic literature review |
| 1 | Longo 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 |
@inproceedings{LongoGLKH20, author = {Luca Longo and Randy Goebel and Freddy L{\'{e}}cu{\'{e}} and Peter Kieseberg and Andreas Holzinger}, editor = {Andreas Holzinger and Peter Kieseberg and A Min Tjoa and Edgar R. Weippl}, title = {Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions}, booktitle = {Machine Learning and Knowledge Extraction - 4th {IFIP} {TC} 5, {TC} 12, {WG} 8.4, {WG} 8.9, {WG} 12.9 International Cross-Domain Conference, {CD-MAKE} 2020, Dublin, Ireland, August 25-28, 2020, Proceedings}, series = {Lecture Notes in Computer Science}, volume = {12279}, pages = {1--16}, publisher = {Springer}, year = {2020}, url = {https://doi.org/10.1007/978-3-030-57321-8\_1}, doi = {10.1007/978-3-030-57321-8\_1} } [Close]
| Explainable artificial intelligence • Machine learning • Explainability |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |