Bardh Prenkaj | Ricerc@Sapienza

Pubblicazioni

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
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
A reproducibility study of deep and surface machine learning methods for human-related trajectory prediction	29th ACM Conference on Information and Knowledge Management (CIKM)	2020