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Stefano Proto
ORCID
Publication Activity (10 Years)
Years Active: 2018-2020
Publications (10 Years): 8
Top Topics
Predictive Model
Drift Detection
Scientific Literature
Latent Dirichlet Allocation
Top Venues
BigData Congress
CoRR
BIRTE
ADBIS (Short Papers and Workshops)
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Publications
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Stefano Proto
,
Evelina Di Corso
,
Daniele Apiletti
,
Luca Cagliero
,
Tania Cerquitelli
,
Giovanni Malnati
,
Davide Mazzucchi
REDTag: A Predictive Maintenance Framework for Parcel Delivery Services.
IEEE Access
8 (2020)
Evelina Di Corso
,
Stefano Proto
,
Tania Cerquitelli
,
Silvia Chiusano
Towards Automated Visualisation of Scientific Literature.
ADBIS (Short Papers and Workshops)
(2019)
Tania Cerquitelli
,
Evelina Di Corso
,
Stefano Proto
,
Alfonso Capozzoli
,
Fabio Bellotti
,
Maria Giovanna Cassese
,
Elena Baralis
,
Marco Mellia
,
Silvia Casagrande
,
Martina Tamburini
Exploring energy performance certificates through visualization.
EDBT/ICDT Workshops
(2019)
Tania Cerquitelli
,
Stefano Proto
,
Francesco Ventura
,
Daniele Apiletti
,
Elena Baralis
Towards a real-time unsupervised estimation of predictive model degradation.
BIRTE
(2019)
Francesco Ventura
,
Stefano Proto
,
Daniele Apiletti
,
Tania Cerquitelli
,
Simone Panicucci
,
Elena Baralis
,
Enrico Macii
,
Alberto Macii
A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs.
BigData Congress
(2019)
Stefano Proto
,
Francesco Ventura
,
Daniele Apiletti
,
Tania Cerquitelli
,
Elena Baralis
,
Enrico Macii
,
Alberto Macii
PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes.
BigData Congress
(2019)
Tania Cerquitelli
,
Stefano Proto
,
Francesco Ventura
,
Daniele Apiletti
,
Elena Baralis
Automating concept-drift detection by self-evaluating predictive model degradation.
CoRR
(2019)
Stefano Proto
,
Evelina Di Corso
,
Francesco Ventura
,
Tania Cerquitelli
Useful ToPIC: Self-Tuning Strategies to Enhance Latent Dirichlet Allocation.
BigData Congress
(2018)