Bardh Prenkaj

According to our database, Bardh Prenkaj authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsupervised Detection of Behavioural Drifts With Dynamic Clustering and Trajectory Analysis.

Bardh Prenkaj, Paola Velardi

IEEE Trans. Knowl. Data Eng., May, 2024

Towards Non-Adversarial Algorithmic Recourse.

Tobias Leemann, Martin Pawelczyk, Bardh Prenkaj, Gjergji Kasneci

CoRR, 2024

Robust Stochastic Graph Generator for Counterfactual Explanations.

Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences.

Bardh Prenkaj, Dario Aragona, Alessandro Flaborea, Fabio Galasso, Saverio Gravina, Luca Podo, Emilia Reda, Paola Velardi

Artif. Intell. Medicine, January, 2023

Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes.

Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci

CoRR, 2023

Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection.

Alessandro Flaborea, Luca Collorone, Guido D'Amely, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso

CoRR, 2023

Machine Learning for Visualization Recommendation Systems: Open Challenges and Future Directions.

Luca Podo, Bardh Prenkaj, Paola Velardi

CoRR, 2023

Developing and Evaluating Graph Counterfactual Explanation with GRETEL.

Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Revisiting CounteRGAN for Counterfactual Explainability of Graphs.

Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection.

Alessandro Flaborea, Luca Collorone, Guido Maria D'Amely di Melendugno, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Are we certain it's anomalous?

Alessandro Flaborea, Bardh Prenkaj, Bharti Munjal, Marco Aurelio Sterpa, Dario Aragona, Luca Podo, Fabio Galasso

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Latent deep sequential learning of behavioural sequences.

Bardh Prenkaj

PhD thesis, 2022

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation.

Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo, Fosca Giannotti

CoRR, 2022

Ensemble Approaches for Graph Counterfactual Explanations.

Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo, Alessandro Celi, Ernesto Luis Estevanell-Valladares, Daniel Alejandro Valdés Pérez

Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022

2021

Hidden space deep sequential risk prediction on student trajectories.

Bardh Prenkaj, Damiano Distante, Stefano Faralli, Paola Velardi

Future Gener. Comput. Syst., 2021

A Survey of Machine Learning Approaches for Student Dropout Prediction in Online Courses.

Bardh Prenkaj, Paola Velardi, Giovanni Stilo, Damiano Distante, Stefano Faralli

ACM Comput. Surv., 2021

C_oR_oNN_a: a deep sequential framework to predict epidemic spread.

Dario Aragona, Luca Podo, Bardh Prenkaj, Paola Velardi

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection.

Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction.

Bardh Prenkaj, Paola Velardi, Damiano Distante, Stefano Faralli

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses.

Bardh Prenkaj, Giovanni Stilo, Lorenzo Madeddu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

MIMOSE: multimodal interaction for music orchestration sheet editors - An integrable multimodal music editor interaction system.

Andrea Coletta, Maria De Marsico, Emanuele Panizzi, Bardh Prenkaj, Domenicomichele Silvestri

Multim. Tools Appl., 2019

2018

House in the (Biometric) Cloud: A Possible Application.

Maria De Marsico, Eugenio Nemmi, Bardh Prenkaj, Gabriele Saturni

IEEE Cloud Comput., 2018

2017

A Smart Peephole on the Cloud.

Maria De Marsico, Eugenio Nemmi, Bardh Prenkaj, Gabriele Saturni

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2017, 2017