| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 11 | Ephrem Tibebe Mekonnen; Longo L., Dondio P. | LOMATCE: LOcal Model-Agnostic Time-series Classification Explanations | IEEE Access | 2025 | @ARTICLE{MekonnenLongo2025, author={Mekonnen, Ephrem Tibebe and Longo, Luca and Dondio, Pierpaolo}, journal={IEEE Access}, title={LOMATCE: LOcal Model-Agnostic Time-series Classification Explanations}, year={2025}, volume={}, number={}, pages={1-1}, keywords={Time series analysis;Adaptation models;Explainable AI;Predictive models;Data models;Closed box;Perturbation methods;Computational modeling;Deep learning;Kernel;Explainable Artificial Intelligence;Model-agnostic;Time series;Post hoc;Deep learning;XAI}, doi={10.1109/ACCESS.2025.3625442}} [Close]
| Time series analysis • Adaptation models • Explainable AI • Predictive models • Data models • Closed box • Perturbation methods • Computational modeling • Deep learning • Kernel • Explainable Artificial Intelligence • Model-agnostic • Time series • Post hoc • Deep learning • XAI |
| 10 | Mekonnen E.T., Longo L., Dondio P. | A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers | Frontiers Artificial Intelligence | 2024 |
@ARTICLE{10.3389/frai.2024.1381921, AUTHOR={Mekonnen, Ephrem T. and Dondio, Pierpaolo and Longo, Luca }, TITLE={A Global Model-Agnostic Rule-Based XAI Method based on Parameterised Event Primitives for Time Series Classifiers}, JOURNAL={Frontiers in Artificial Intelligence}, VOLUME={7}, YEAR={2024}, URL={https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1381921}, DOI={10.3389/frai.2024.1381921}, ISSN={2624-8212}, } [Close]
| Deep learning • Explainable Artificial Intelligence • time series classification • decision tree •
model agnostic • post-hoc • Machine Learning |
| 9 | Mekonnen E.T., Dondio P., Longo L. | Explaining Deep Learning Time Series Classification Models using a Decision Tree-Based Post-Hoc XAI Method | 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) | 2023 |
@INPROCEEDINGS{Mekonnen2023, author={Mekonnen, E.T., Dondio P., and Longo L.}, booktitle={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)}, title={Explaining Deep Learning Time Series Classification Models using a Decision Tree-Based Post-Hoc XAI Method}, year={2023}, volume={3554}, number={}, pages={71-76}, publisher={CEUR} } [Close]
| Explainable Artificial Intelligence • Deep Learning • Time Series • Classification • Decision-Trees • Machine Learning • Post-hoc |
| 8 | Davydko O., Pavlov V., Longo L. | Selecting textural characteristics of chest X-Rays for pneumonia lesions classification with the integrated gradients XAI attribution method | eXplainable Artificial Intelligence, The World Conference (xAI-2023) | 2023 |
@InProceedings{DavydkoLongo2023, author="Davydko, Oleksandr and Pavlov, Vladimir and Longo, Luca", editor="Longo, Luca", title="Selecting Textural Characteristics of Chest X-Rays for Pneumonia Lesions Classification with the Integrated Gradients XAI Attribution Method", booktitle="Explainable Artificial Intelligence", year="2023", publisher="Springer Nature Switzerland", address="Cham", pages="671--687", isbn="978-3-031-44064-9" } [Close]
| Explainable artificial intelligence • Neural networks • Texture analysis • Medical image processing • Classification • Machine Learning |
| 7 | Grover N., Chharia A., Upadhyay R., Longo L. | Schizo-Net: A novel Schizophrenia Diagnosis framework using late fusion multimodal deep learning on Electroencephalogram-based Brain connectivity indices | IEEE Transactions on Neural Systems and Rehabilitation Engineering | 2023 |
| Schizophrenia • Deep Learning • Brain Connectivity features • Feature fusion • Classification • Machine Learning |
| 6 | Davydko O., Horodetska O., Nastenko I., Hladkyi Y., Pavlov V., Linnik M., Galkin O., Longo L. | A Pipeline for the Diagnosis and Classification of Lung Lesions for Patients with COVID-19 | IEEE 17th International Conference on Computer Sciences and Information Technologies | 2022 |
@INPROCEEDINGS{10000435, author={Davydko, Oleksandr and Horodetska, Olena and Nastenko, Ievgen and Hladkyi, Yaroslav and Pavlov, Vladimir and Linnik, Mykola and Galkin, Oleksandr and Longo, Luca}, booktitle={2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)}, title={A Pipeline for the Diagnosis and Classification of Lung Lesions for Patients with COVID-19}, year={2022}, volume={}, number={}, pages={551-554}, doi={10.1109/CSIT56902.2022.10000435}} [Close]
| COVID-19 • classification • segmentation • neural network • logistic self-organized forest • texture analysis |
| 5 | Raufi B., Longo L. | An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload | Frontiers Neuroinformatics | 2022 |
@article{RaufiLongo2022, author = {Bujar Raufi and Luca Longo}, title = {An Evaluation of the {EEG} Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload}, journal = {Frontiers Neuroinformatics}, volume = {16}, pages = {861967}, year = {2022}, url = {https://doi.org/10.3389/fninf.2022.861967}, doi = {10.3389/fninf.2022.861967} } [Close]
| human mental workload • EEG band ratios • alpha-to-theta ratios • theta-to-alpha ratios • machine learning • classification • Electroencephalography |
| 4 | 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 |
| 3 | Rogers N., Longo L. | A Comparison on the Classification of Short-text Documents Using Latent Dirichlet Allocation and Formal Concept Analysis | 25th Irish Conference on Artificial Intelligence and Cognitive Science | 2017 |
@inproceedings{RogersL17Comparison, author = {Noel Rogers and Luca Longo}, title = {A Comparison on the Classification of Short-text Documents Using Latent Dirichlet Allocation and Formal Concept Analysis}, booktitle = {Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7 - 8, 2017.}, pages = {50--62}, year = {2017} } [Close]
| Short-text Documents • Classification • Machine Learning • Latent Dirichlet Allocation • Formal Concept Analysis • Artificial Intelligence • Modeling |
| 2 | Mccartney A., Hensman S, Longo L. | How Short is a Piece of String? The Impact of Text Length and Text Augmentation on Short-text Classification | 25th Irish Conference on Artificial Intelligence and Cognitive Science | 2017 |
@inproceedings{MccartneyHL17Text, author = {Austin Mccartney and Svetlana Hensman and Luca Longo}, title = {How Short is a Piece of String? The Impact of Text Length and Text Augmentation on Short-text Classification}, booktitle = {Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7 - 8, 2017.}, pages = {102--114}, year = {2017} } [Close]
| Text Augmentation • Short-text Classification • Machine Learning • Artificial Intelligence • Modeling |
| 1 | Longo L., Barrett S., Dondio P. | Toward Social Search-From Explicit to Implicit Collaboration to Predict Users' Interests | 5th International Conference on Web Information Systems and Technologies | 2009 |
@inproceedings{Longo09Toward, author = {Luca Longo and Stephen Barrett and Pierpaolo Dondio}, title = {Toward Social Search - From Explicit to Implicit Collaboration to Predict Users' Interests}, booktitle = {{WEBIST} 2009 - Proceedings of the Fifth International Conference on Web Information Systems and Technologies, Lisbon, Portugal, March 23-26, 2009}, pages = {693--696}, year = {2009 } [Close]
| Social Search • User Behavior • Computational Trust • Web Site Classification • Human-Computer Interaction |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |