Useful ToPIC: Self-Tuning Strategies to Enhance Latent Dirichlet Allocation. - Stefano Proto; Evelina Di Corso; Francesco Ventura; Tania Cerquitelli (BigData Congress, 2018)

Towards Automated Visualisation of Scientific Literature. - Evelina Di Corso; Stefano Proto; Tania Cerquitelli; Silvia Chiusano (ADBIS (Short Papers and Workshops), 2019)

PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes. - Stefano Proto; Francesco Ventura; Daniele Apiletti; Tania Cerquitelli; Elena Baralis; Enrico Macii; Alberto Macii (BigData Congress, 2019)

A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs. - Francesco Ventura; Stefano Proto; Daniele Apiletti; Tania Cerquitelli; Simone Panicucci; Elena Baralis; Enrico Macii; Alberto Macii (BigData Congress, 2019)

Towards a real-time unsupervised estimation of predictive model degradation. - Tania Cerquitelli; Stefano Proto; Francesco Ventura; Daniele Apiletti; Elena Baralis (BIRTE, 2019)

Exploring energy performance certificates through visualization. - Tania Cerquitelli; Evelina Di Corso; Stefano Proto; Alfonso Capozzoli; Fabio Bellotti; Maria Giovanna Cassese; Elena Baralis; Marco Mellia; Silvia Casagrande; Martina Tamburini (EDBT/ICDT Workshops, 2019)

Automating concept-drift detection by self-evaluating predictive model degradation. - Tania Cerquitelli; Stefano Proto; Francesco Ventura; Daniele Apiletti; Elena Baralis (CoRR, 2019)

REDTag: A Predictive Maintenance Framework for Parcel Delivery Services. - Stefano Proto; Evelina Di Corso; Daniele Apiletti; Luca Cagliero; Tania Cerquitelli; Giovanni Malnati; Davide Mazzucchi (IEEE Access, 2020)