PRENKAJ, BARDH

PRENKAJ, BARDH  

DIPARTIMENTO DI INFORMATICA  

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Titolo Data di pubblicazione Autore(i) File
A reproducibility study of deep and surface machine learning methods for human-related trajectory prediction 2020 Prenkaj, Bardh; Velardi, Paola; Distante, Damiano; Faralli, Stefano
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences 2022 Prenkaj, Bardh; Aragona, Dario; Flaborea, Alessandro; Galasso, Fabio; Gravina, Saverio; Podo, Luca; Reda, Emilia; Velardi, Paola
A Smart Peephole on the Cloud 2017 De Marsico, Maria; NEMMI, EUGENIO NERIO; Prenkaj, Bardh; Saturni, Gabriele
A Survey of Machine Learning approaches for Student Dropout Prediction in Online Courses 2020 Prenkaj, Bardh; Velardi, Paola; Stilo, Giovanni; Distante, Damiano; Faralli, Stefano
Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses 2020 Prenkaj, B.; Stilo, G.; Madeddu, L.
CoRoNNa: A Deep Sequential Framework to Predict Epidemic Spread 2021 Aragona, Dario; Podo, Luca; Prenkaj, Bardh; Velardi, Paola
Hidden space deep sequential risk prediction on student trajectories 2021 Prenkaj, Bardh; Distante, Damiano; Faralli, Stefano; Velardi, Paola
House in the (biometric) cloud: a possible application 2018 De Marsico, Maria; Nemmi, Eugenio; Prenkaj, Bardh; Saturni, Gabriele
Latent and sequential prediction of the novel coronavirus epidemiological spread 2021 Aragona, Dario; Podo, Luca; Prenkaj, Bardh; Velardi, Paola
MIMOSE: multimodal interaction for music orchestration sheet editors: an integrable multimodal music editor interaction system 2019 Coletta, A.; De Marsico, M.; Panizzi, E.; Prenkaj, B.; Silvestri, D.