Publications

Agnostic Visual Recommendation Systems: Open Challenges and Future Directions
Luca Podo, Bardh Prenkaj, Paola Velardi
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Robust Stochastic Graph Generator for Counterfactual Explanations
Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo
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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
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Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes
Bardh Prenkaj, Mario Villaizan-Vallelado, Tobias Leemann, Gjergji Kasneci
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A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges
Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo, Fosca Giannotti
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Are we certain it is anomalous?
Alessandro Flaborea, Bardh Prenkaj, Bharti Munjal, Marco Aurelio Sterpa, Dario Aragona, Luca Podo, Fabio Galasso
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Developing and Evaluating Graph Counterfactual Explanation with GRETEL
Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo
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Ensemble approaches for Graph Counterfactual Explanations
Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo, Alessandro Celi, Ernesto Estevanell-Valladares, Daniel Alejandro Valdés-Pérez
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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
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Hidden space deep sequential risk prediction on student trajectories
Bardh Prenkaj, Damiano Distante, Stefano Faralli, Paola Velardi
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Latent and sequential prediction of the novel coronavirus epidemiological spread
Dario Aragona, Luca Podo, Bardh Prenkaj, Paola Velardi
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Unsupervised boosting-based autoencoder ensembles for outlier detection
Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo
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CoRoNNa: a deep sequential framework to predict epidemic spread
Dario Aragona, Luca Podo, Bardh Prenkaj, Paola Velardi
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Challenges and solutions to the student dropout prediction problem in online courses
Bardh Prenkaj, Giovanni Stilo, Lorenzo Madeddu
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A reproducibility study of deep and surface machine learning methods for human-related trajectory prediction
Bardh Prenkaj, Paola Velardi, Damiano Distante, Stefano Faralli
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A survey of machine learning approaches for student dropout prediction in online courses
Bardh Prenkaj, Paola Velardi, Giovanni Stilo, Damiano Distante, Stefano Faralli
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MIMOSE: multimodal interaction for music orchestration sheet editors
Andrea Coletta, Maria De Marsico, Bardh Prenkaj, Domenicomichele Silvestri
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House in the (biometric) cloud: a possible application
Maria De Marsico, Eugenio Nemmi, Bardh Prenkaj, Gabriele Saturni
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A smart peephole on the cloud
Maria De Marsico, Eugenio Nemmi, Bardh Prenkaj, Gabriele Saturni
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