E-LIB Suche - Ergebnisse für: Prenkaj, Bardh

1

Agnostic Visual Recommendation Systems: Open Challenges and..:

Podo, Luca ; Prenkaj, Bardh ; Velardi, Paola
IEEE Transactions on Visualization and Computer Graphics. , 2024

Link: https://doi.org/10.1109/..

2

Unsupervised Detection of Behavioural Drifts With Dynamic C..:

Prenkaj, Bardh ; Velardi, Paola
IEEE Transactions on Knowledge and Data Engineering. 36 (2024) 5 - p. 2257-2270 , 2024

Link: https://doi.org/10.1109/..

3

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

Prado-Romero, Mario Alfonso ; Prenkaj, Bardh ; Stilo, Giovanni.
ACM Computing Surveys. 56 (2024) 7 - p. 1-37 , 2024

Link: https://doi.org/10.1145/..

4

Multimodal Motion Conditioned Diffusion Model for Skeleton-..:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),

Flaborea, Alessandro ; Collorone, Luca ; D'Amely Di Melendugno, Guido Maria... - p. 10284-10295 , 2023

Link: https://doi.org/10.1109/..

5

Developing and Evaluating Graph Counterfactual Explanation ..:

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

Prado-Romero, Mario Alfonso ; Prenkaj, Bardh ; Stilo, Giovanni - p. 1180-1183 , 2023

Link: https://dl.acm.org/doi/1..

6

A self-supervised algorithm to detect signs of social isola..:

Prenkaj, Bardh ; Aragona, Dario ; Flaborea, Alessandro...
Artificial Intelligence in Medicine. 135 (2023) - p. 102454 , 2023

Link: https://doi.org/10.1016/..

7

Are we certain it's anomalous?:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Flaborea, Alessandro ; Prenkaj, Bardh ; Munjal, Bharti... - p. 2897-2907 , 2023

Link: https://doi.org/10.1109/..

8

Latent and sequential prediction of the novel coronavirus e..:

Aragona, Dario ; Podo, Luca ; Prenkaj, Bardh.
ACM SIGAPP Applied Computing Review. 21 (2021) 3 - p. 5-18 , 2021

Link: https://dl.acm.org/doi/1..

9

CoRoNNa : a deep sequential framework to predict epidemi..:

, In: Proceedings of the 36th Annual ACM Symposium on Applied Computing,

Aragona, Dario ; Podo, Luca ; Prenkaj, Bardh. - p. 10-17 , 2021

Link: https://dl.acm.org/doi/1..

10

Unsupervised Boosting-Based Autoencoder Ensembles for Outli..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,

Sarvari, Hamed ; Domeniconi, Carlotta ; Prenkaj, Bardh. - p. 91-103 , 2021

Link: https://doi.org/10.1007/..

11

Hidden space deep sequential risk prediction on student tra..:

Prenkaj, Bardh ; Distante, Damiano ; Faralli, Stefano.
Future Generation Computer Systems. 125 (2021) - p. 532-543 , 2021

Link: https://doi.org/10.1016/..

12

Latent and sequential prediction of the novel coronavirus e..:

Aragona, Dario ; Podo, Luca ; Prenkaj, Bardh.
ACM SIGAPP Applied Computing Review. 21 (2021) 3 - p. 5-18 , 2021

Link: https://doi.org/10.1145/..

13

A Reproducibility Study of Deep and Surface Machine Learnin..:

, In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management,

Prenkaj, Bardh ; Velardi, Paola ; Distante, Damiano. - p. 2169-2172 , 2020

Link: https://dl.acm.org/doi/1..

14

Challenges and Solutions to the Student Dropout Prediction ..:

, In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management,

Prenkaj, Bardh ; Stilo, Giovanni ; Madeddu, Lorenzo - p. 3513-3514 , 2020

Link: https://dl.acm.org/doi/1..

15

A Survey of Machine Learning Approaches for Student Dropout..:

Prenkaj, Bardh ; Velardi, Paola ; Stilo, Giovanni..
ACM Computing Surveys (CSUR). 53 (2020) 3 - p. 1-34 , 2020

Link: https://dl.acm.org/doi/1..