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Pubblicazioni più recenti

Pastor, Eliana; de Alfaro, Luca; Baralis, Elena (In stampa)
Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence. In: 2021 ACM SIGMOD International Conference on Management of Data, SIGMOD ’21, Virtual Event, China, June 20–25, 2021 Download fulltext
Giordano, Danilo; Pastor, Eliana; Giobergia, Flavio; Cerquitelli, Tania; Baralis, Elena; ... (2021)
Dissecting a Data-driven Prognostic Pipeline: A Powertrain use case. In: EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174 Download fulltext
Pastor, Eliana; Gavgavian, Andrew; Baralis, Elena; de Alfaro, Luca (2021)
How Divergent Is Your Data?. In: 47th International Conference on Very Large Data Bases, pp. 2835-2838 Download fulltext
Attanasio, Giuseppe; Pastor, Eliana (2020)
PoliTeam@AMI: Improving Sentence Embedding Similarity with Misogyny Lexicons for Automatic Misogyny Identification in Italian Tweets. In: Evaluation Campaign of Natural Language Processing and Speech tools for Italian, Online, 17 December 2020 Download fulltext
Pastor, E.; Baralis, E. (2020)
Bring Your Own Data to X-PLAIN. In: 2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020, usa, 2020, pp. 2805-2808. ISSN 0730-8078. ISBN: 9781450367356 Download fulltext
Apiletti, D.; Pastor, E.; Callà, R.; Baralis, E. (2020)
Evaluating espresso coffee quality by means of time-series feature engineering. In: Workshops of the 23rd International Conference on Extending Database Technology/23rd International Conference on Database Theory, EDBT-ICDT-WS 2020, dnk, 2020. ISSN 1613-0073 Download fulltext
Apiletti, Daniele; Pastor, Eliana (2020)
Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining. In: ELECTRONICS, vol. 9. ISSN 2079-9292 Download fulltext
Pastor, Eliana; Baralis, ELENA MARIA (2019)
Enhancing Interpretability of Black Box Models by means of Local Rules. In: 6th ACM Celebration of Women in Computing: womENcourage 2019, Rome (Italy), 16-18 September 2019 Download fulltext
Pastor, E.; Baralis, E. (2019)
Explaining black box models by means of local rules. In: 34th Annual ACM Symposium on Applied Computing, SAC 2019, Limassol (CY), 2019, pp. 510-517. ISBN: 9781450359337
Baralis, Elena; Garza, Paolo; Pastor, Eliana (2018)
A Density-based Preprocessing Technique to Scale Out Clustering. In: 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, December 10-13 2018, pp. 2078-2087. ISBN: 978-1-5386-5035-6
Pastor, Eliana (2018)
Deriving Local Internal Logic for Black Box Models. In: SEBD 2018 26th Italian Symposium on Advanced Database Systems, Castellaneta Marina (Italy), June 24-27, 2018, pp. 1-4 Download fulltext
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