| Titolo |
Pubblicato in |
Anno |
| Agnostic Visual Recommendation Systems: Open Challenges and Future Directions |
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS |
2024 |
| A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation |
ACM COMPUTING SURVEYS |
2024 |
| Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals |
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining |
2024 |
| Robust Stochastic Graph Generator for Counterfactual Explanations |
Proceedings of the AAAI Conference on Artificial Intelligence |
2024 |
| GRETEL 2.0: Generation and Evaluation of Graph Counterfactual Explanations Evolved |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
2024 |
| Towards Non-adversarial Algorithmic Recourse |
Communications in Computer and Information Science |
2024 |
| Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA) |
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining |
2024 |
| Semantically Guided Representation Learning for Action Anticipation |
Proc. of European Conference on Computer Vision (ECCV) |
2024 |
| Unsupervised Detection of Behavioural Drifts with Dynamic Clustering and Trajectory Analysis |
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING |
2023 |
| Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection |
Proceedings of the IEEE/CVF International Conference on Computer Vision |
2023 |
| Are we certain it’s anomalous? |
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops |
2023 |
| Developing and Evaluating Graph Counterfactual Explanation with GRETEL |
WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining |
2023 |
| Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection |
IEEE/CVF International Conference on Computer Vision 2023 |
2023 |
| A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences |
ARTIFICIAL INTELLIGENCE IN MEDICINE |
2022 |
| Ensemble approaches for Graph Counterfactual Explanations |
CEUR Workshop Proceedings |
2022 |
| CoRoNNa: A Deep Sequential Framework to Predict Epidemic Spread |
Proceedings of the 36th Annual ACM Symposium on Applied Computing https://www.sigapp.org/sac/sac2021/file2021/TOC-Jan29-2021.pdf |
2021 |
| Latent and sequential prediction of the novel coronavirus epidemiological spread |
APPLIED COMPUTING REVIEW |
2021 |
| Hidden space deep sequential risk prediction on student trajectories |
FUTURE GENERATION COMPUTER SYSTEMS |
2021 |
| Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection |
Advances in Knowledge Discovery and Data Mining. PAKDD 2021 |
2021 |
| A Survey of Machine Learning approaches for Student Dropout Prediction in Online Courses |
ACM COMPUTING SURVEYS |
2020 |
