Francesco Ventura

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 19

Top Topics

Cluster Analysis

Industrial Processes

Data Transformation

Query Optimizer

Top Venues

BigData Congress

Publications

Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl
DataFarm: Farm Your ML-based Query Optimizer's Food! - Human-Guided Training Data Generation -. CIDR (2022)
Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl
Farming Your ML-based Query Optimizer's Food. ICDE (2022)
Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli
Trusting deep learning natural-language models via local and global explanations. Knowl. Inf. Syst. 64 (7) (2022)
Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl
Expand your Training Limits! Generating Training Data for ML-based Data Management. SIGMOD Conference (2021)
Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features. CoRR (2021)
Tania Cerquitelli, Francesco Ventura, Daniele Apiletti, Elena Baralis, Enrico Macii, Massimo Poncino
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. Expert Syst. Appl. 182 (2021)
Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, Silvia Chiusano
DSLE: A Smart Platform for Designing Data Science Competitions. COMPSAC (2020)
Francesco Ventura, Tania Cerquitelli
What's in the box? Explaining the black-box model through an evaluation of its interpretable features. CoRR (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)
Francesco Ventura, Tania Cerquitelli, Francesco Giacalone
Black-Box Model Explained Through an Assessment of Its Interpretable Features. ADBIS (Short Papers and Workshops) (2018)
Stefano Proto, Evelina Di Corso, Francesco Ventura, Tania Cerquitelli
Useful ToPIC: Self-Tuning Strategies to Enhance Latent Dirichlet Allocation. BigData Congress (2018)
Daniele Apiletti, Claudia Barberis, Tania Cerquitelli, Alberto Macii, Enrico Macii, Massimo Poncino, Francesco Ventura
iSTEP, an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0. ISPA/IUCC/BDCloud/SocialCom/SustainCom (2018)
Tania Cerquitelli, Evelina Di Corso, Francesco Ventura, Silvia Chiusano
Data miners' little helper: data transformation activity cues for cluster analysis on document collections. WIMS (2017)
Evelina Di Corso, Francesco Ventura, Tania Cerquitelli
All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection. IEEE BigData (2017)
Tania Cerquitelli, Evelina Di Corso, Francesco Ventura, Silvia Chiusano
Prompting the data transformation activities for cluster analysis on collections of documents. SEBD (2017)
Evelina Di Corso, Tania Cerquitelli, Francesco Ventura
Self-tuning techniques for large scale cluster analysis on textual data collections. SAC (2017)