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2020 – today

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2024
[j7]
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Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo, Fosca Giannotti:
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges. ACM Comput. Surv. 56(7): 171:1-171:37 (2024)
[j6]
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Bardh Prenkaj, Paola Velardi:
Unsupervised Detection of Behavioural Drifts With Dynamic Clustering and Trajectory Analysis. IEEE Trans. Knowl. Data Eng. 36(5): 2257-2270 (2024)
[c16]
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Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo:
Robust Stochastic Graph Generator for Counterfactual Explanations. AAAI 2024: 21518-21526
[c15]
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Anxhelo Diko, Danilo Avola, Bardh Prenkaj, Federico Fontana, Luigi Cinque:
Semantically Guided Representation Learning For Action Anticipation. ECCV (28) 2024: 448-466
[c14]
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Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci:
Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals. KDD 2024: 2420-2431
[c13]
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Marco Piangerelli, Bardh Prenkaj, Ylenia Rotalinti, Ananya Joshi, Giovanni Stilo:
Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA). KDD 2024: 6731-6732
[c12]
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Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo:
GRETEL 2.0: Generation and Evaluation of Graph Counterfactual Explanations Evolved. ECML/PKDD (8) 2024: 363-367
[c11]
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Tobias Leemann, Martin Pawelczyk, Bardh Prenkaj, Gjergji Kasneci:
Towards Non-adversarial Algorithmic Recourse. xAI (3) 2024: 395-419
[i11]
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  - journals/corr/abs-2403-10330
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Tobias Leemann, Martin Pawelczyk, Bardh Prenkaj, Gjergji Kasneci:
Towards Non-Adversarial Algorithmic Recourse. CoRR abs/2403.10330 (2024)
[i10]
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  - journals/corr/abs-2407-02309
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Anxhelo Diko, Danilo Avola, Bardh Prenkaj, Federico Fontana, Luigi Cinque:
Semantically Guided Representation Learning For Action Anticipation. CoRR abs/2407.02309 (2024)
[i9]
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  - journals/corr/abs-2407-03821
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Davide Gabrielli, Bardh Prenkaj, Paola Velardi:
Seamless Monitoring of Stress Levels Leveraging a Universal Model for Time Sequences. CoRR abs/2407.03821 (2024)
2023
[j5]
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  - journals/artmed/PrenkajAFGGPRV23
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Bardh Prenkaj, Dario Aragona, Alessandro Flaborea, Fabio Galasso, Saverio Gravina, Luca Podo, Emilia Reda, Paola Velardi:
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences. Artif. Intell. Medicine 135: 102454 (2023)
[c10]
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  - conf/cvpr/FlaboreaPMSAPG23
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Alessandro Flaborea, Bardh Prenkaj, Bharti Munjal, Marco Aurelio Sterpa, Dario Aragona, Luca Podo, Fabio Galasso:
Are we certain it's anomalous? CVPR Workshops 2023: 2897-2907
[c9]
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Alessandro Flaborea, Luca Collorone, Guido Maria D'Amely di Melendugno, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso:
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection. ICCV 2023: 10284-10295
[c8]
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  - conf/iclr/Prado-RomeroPS23
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Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo:
Revisiting CounteRGAN for Counterfactual Explainability of Graphs. Tiny Papers @ ICLR 2023
[c7]
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Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo:
Developing and Evaluating Graph Counterfactual Explanation with GRETEL. WSDM 2023: 1180-1183
[i8]
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  - journals/corr/abs-2302-00569
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Luca Podo, Bardh Prenkaj, Paola Velardi:
Machine Learning for Visualization Recommendation Systems: Open Challenges and Future Directions. CoRR abs/2302.00569 (2023)
[i7]
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  - journals/corr/abs-2302-06228
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Bardh Prenkaj, Paola Velardi:
Unsupervised Detection of Behavioural Drifts with Dynamic Clustering and Trajectory Analysis. CoRR abs/2302.06228 (2023)
[i6]
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  - journals/corr/abs-2307-07205
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Alessandro Flaborea, Luca Collorone, Guido D'Amely, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso:
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection. CoRR abs/2307.07205 (2023)
[i5]
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  - journals/corr/abs-2308-02353
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Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci:
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes. CoRR abs/2308.02353 (2023)
[i4]
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  - journals/corr/abs-2312-11747
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Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo:
Robust Stochastic Graph Generator for Counterfactual Explanations. CoRR abs/2312.11747 (2023)
2022
[b1]
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  - phd/basesearch/Prenkaj22
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Bardh Prenkaj:
Latent deep sequential learning of behavioural sequences. Sapienza University of Rome, Italy, 2022
[c6]
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Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo, Alessandro Celi, Ernesto Luis Estevanell-Valladares, Daniel Alejandro Valdés Pérez:
Ensemble Approaches for Graph Counterfactual Explanations. XAI.it@AI*IA 2022: 88-97
[i3]
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  - journals/corr/abs-2210-12089
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Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo, Fosca Giannotti:
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation. CoRR abs/2210.12089 (2022)
[i2]
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  - journals/corr/abs-2211-09224
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Alessandro Flaborea, Bardh Prenkaj, Bharti Munjal, Marco Aurelio Sterpa, Dario Aragona, Luca Podo, Fabio Galasso:
Are we certain it's anomalous? CoRR abs/2211.09224 (2022)
2021
[j4]
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  - journals/csur/PrenkajVSDF20
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Bardh Prenkaj, Paola Velardi, Giovanni Stilo, Damiano Distante, Stefano Faralli:
A Survey of Machine Learning Approaches for Student Dropout Prediction in Online Courses. ACM Comput. Surv. 53(3): 57:1-57:34 (2021)
[j3]
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  - journals/fgcs/PrenkajDFV21
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Bardh Prenkaj, Damiano Distante, Stefano Faralli, Paola Velardi:
Hidden space deep sequential risk prediction on student trajectories. Future Gener. Comput. Syst. 125: 532-543 (2021)
[c5]
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  - conf/pakdd/SarvariDPS21
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Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo:
Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection. PAKDD (1) 2021: 91-103
[c4]
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  - conf/sac/AragonaPPV21
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Dario Aragona, Luca Podo, Bardh Prenkaj, Paola Velardi:
C_oR_oNN_a: a deep sequential framework to predict epidemic spread. SAC 2021: 10-17
2020
[c3]
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  - conf/cikm/PrenkajVD020
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Bardh Prenkaj, Paola Velardi, Damiano Distante, Stefano Faralli:
A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction. CIKM 2020: 2169-2172
[c2]
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  - conf/cikm/PrenkajSM20
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Bardh Prenkaj, Giovanni Stilo, Lorenzo Madeddu:
Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses. CIKM 2020: 3513-3514

2010 – 2019

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2019
[j2]
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  - journals/mta/ColettaMPPS19
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Andrea Coletta, Maria De Marsico, Emanuele Panizzi, Bardh Prenkaj, Domenicomichele Silvestri:
MIMOSE: multimodal interaction for music orchestration sheet editors - An integrable multimodal music editor interaction system. Multim. Tools Appl. 78(23): 33041-33068 (2019)
[i1]
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  - journals/corr/abs-1910-09754
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Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo:
Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection. CoRR abs/1910.09754 (2019)
2018
[j1]
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  - journals/cloudcomp/MarsicoNPS18
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Maria De Marsico, Eugenio Nemmi, Bardh Prenkaj, Gabriele Saturni:
House in the (Biometric) Cloud: A Possible Application. IEEE Cloud Comput. 5(4): 58-69 (2018)
2017
[c1]
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  - conf/iciap/MarsicoNPS17
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Maria De Marsico, Eugenio Nemmi, Bardh Prenkaj, Gabriele Saturni:
A Smart Peephole on the Cloud. ICIAP Workshops 2017: 364-374

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