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2020 – today
- 2024
[j3]Francesco Ventura, Salvatore Greco
, Daniele Apiletti, Tania Cerquitelli:
Explaining deep convolutional models by measuring the influence of interpretable features in image classification. Data Min. Knowl. Discov. 38(5): 3169-3226 (2024)- 2022
- [j2]Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli:
Trusting deep learning natural-language models via local and global explanations. Knowl. Inf. Syst. 64(7): 1863-1907 (2022) - [c14]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 - [c13]Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Farming Your ML-based Query Optimizer's Food. ICDE 2022: 3186-3189 - 2021
- [j1]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: 115269 (2021) - [c12]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: 1865-1878 - [i3]Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli:
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features. CoRR abs/2106.06697 (2021) - 2020
- [c11]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: 133-142
2010 – 2019
- 2019
- [c10]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: 139-143 - [c9]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: 144-148 - [c8]Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis:
Towards a real-time unsupervised estimation of predictive model degradation. BIRTE 2019: 5:1-5:6 - [i2]Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis:
Automating concept-drift detection by self-evaluating predictive model degradation. CoRR abs/1907.08120 (2019) - [i1]Francesco Ventura, Tania Cerquitelli:
What's in the box? Explaining the black-box model through an evaluation of its interpretable features. CoRR abs/1908.04348 (2019) - 2018
- [c7]Francesco Ventura, Tania Cerquitelli, Francesco Giacalone:
Black-Box Model Explained Through an Assessment of Its Interpretable Features. ADBIS (Short Papers and Workshops) 2018: 138-149 - [c6]Stefano Proto, Evelina Di Corso, Francesco Ventura, Tania Cerquitelli:
Useful ToPIC: Self-Tuning Strategies to Enhance Latent Dirichlet Allocation. BigData Congress 2018: 33-40 - [c5]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: 924-931 - 2017
- [c4]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: 3722-3726 - [c3]Evelina Di Corso, Tania Cerquitelli, Francesco Ventura:
Self-tuning techniques for large scale cluster analysis on textual data collections. SAC 2017: 771-776 - [c2]Tania Cerquitelli, Evelina Di Corso, Francesco Ventura, Silvia Chiusano:
Prompting the data transformation activities for cluster analysis on collections of documents. SEBD 2017: 226 - [c1]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: 27:1-27:6
Coauthor Index
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