Francesco Ventura

20 papers A* 1A 1B 1Misc 1Journal 6Unranked 10
YearRankTypeTitle / Venue / Authors
2024 J jnl
Explaining deep convolutional models by measuring the influence of interpretable features in image classification.
Data Min. Knowl. Discov.
Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli
2022 A conf
DataFarm: Farm Your ML-based Query Optimizer's Food! - Human-Guided Training Data Generation -.
CIDR
Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl
2022 A* conf
Farming Your ML-based Query Optimizer's Food.
ICDE
Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl
2022 J jnl
Trusting deep learning natural-language models via local and global explanations.
Knowl. Inf. Syst.
Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli
2021 J jnl
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes.
Expert Syst. Appl.
Tania Cerquitelli, Francesco Ventura, Daniele Apiletti, Elena Baralis, Enrico Macii, Massimo Poncino
2021 — conf
Expand your Training Limits! Generating Training Data for ML-based Data Management.
SIGMOD Conference
Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl
2021 J jnl
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features.
CoRR
Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli
2020 B conf
DSLE: A Smart Platform for Designing Data Science Competitions.
COMPSAC
Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, Silvia Chiusano
2019 — conf
A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs.
BigData Congress
Francesco Ventura, Stefano Proto, Daniele Apiletti, Tania Cerquitelli, Simone Panicucci, Elena Baralis, Enrico Macii, Alberto Macii
2019 J jnl
Automating concept-drift detection by self-evaluating predictive model degradation.
CoRR
Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis
2019 — conf
PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes.
BigData Congress
Stefano Proto, Francesco Ventura, Daniele Apiletti, Tania Cerquitelli, Elena Baralis, Enrico Macii, Alberto Macii
2019 — conf
Towards a real-time unsupervised estimation of predictive model degradation.
BIRTE
Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis
2019 J jnl
What's in the box? Explaining the black-box model through an evaluation of its interpretable features.
CoRR
Francesco Ventura, Tania Cerquitelli
2018 — conf
Black-Box Model Explained Through an Assessment of Its Interpretable Features.
ADBIS (Short Papers and Workshops)
Francesco Ventura, Tania Cerquitelli, Francesco Giacalone
2018 — conf
Useful ToPIC: Self-Tuning Strategies to Enhance Latent Dirichlet Allocation.
BigData Congress
Stefano Proto, Evelina Di Corso, Francesco Ventura, Tania Cerquitelli
2018 — conf
iSTEP, an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0.
ISPA/IUCC/BDCloud/SocialCom/SustainCom
Daniele Apiletti, Claudia Barberis, Tania Cerquitelli, Alberto Macii, Enrico Macii, Massimo Poncino, Francesco Ventura
2017 — conf
All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection.
IEEE BigData
Evelina Di Corso, Francesco Ventura, Tania Cerquitelli
2017 — conf
Data miners' little helper: data transformation activity cues for cluster analysis on document collections.
WIMS
Tania Cerquitelli, Evelina Di Corso, Francesco Ventura, Silvia Chiusano
2017 — conf
Prompting the data transformation activities for cluster analysis on collections of documents.
SEBD
Tania Cerquitelli, Evelina Di Corso, Francesco Ventura, Silvia Chiusano
2017 Misc conf
Self-tuning techniques for large scale cluster analysis on textual data collections.
SAC
Evelina Di Corso, Tania Cerquitelli, Francesco Ventura