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Eliana Pastor
Eliana Pastor
Verified email at polito.it
Title
Cited by
Cited by
Year
Explaining black box models by means of local rules
E Pastor, E Baralis
Proceedings of the 34th ACM/SIGAPP symposium on applied computing, 510-517, 2019
232019
Correlating espresso quality with coffee-machine parameters by means of association rule mining
D Apiletti, E Pastor
Electronics 9 (1), 100, 2020
122020
Looking for trouble: Analyzing classifier behavior via pattern divergence
E Pastor, L de Alfaro, E Baralis
Proceedings of the 2021 International Conference on Management of Data, 1400 …, 2021
112021
PoliTeam@ AMI: Improving Sentence Embedding Similarity with Misogyny Lexicons for Automatic Misogyny Identification in Italian Tweets.
G Attanasio, E Pastor
EVALITA, 2020
112020
Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection
G Attanasio, D Nozza, E Pastor, D Hovy
Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in …, 2022
52022
Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case
D Giordano, F Giobergia, E Pastor, A La Macchia, T Cerquitelli, E Baralis, ...
Computers in Industry 134, 103554, 2022
42022
Dissecting a data-driven prognostic pipeline: A powertrain use case
D Giordano, E Pastor, F Giobergia, T Cerquitelli, E Baralis, M Mellia, ...
Expert Systems with Applications 180, 115109, 2021
42021
How divergent is your data?
E Pastor, A Gavgavian, E Baralis, L de Alfaro
Proceedings of the VLDB Endowment 14 (12), 2835-2838, 2021
32021
A density-based preprocessing technique to scale out clustering
E Baralis, P Garza, E Pastor
2018 IEEE International Conference on Big Data (Big Data), 2078-2087, 2018
32018
Identifying Biased Subgroups in Ranking and Classification
E Pastor, L de Alfaro, E Baralis
arXiv preprint arXiv:2108.07450, 2021
22021
Evaluating espresso coffee quality by means of time-series feature engineering.
D Apiletti, E Pastor, R Callą, E Baralis
EDBT/ICDT Workshops, 2020
22020
ferret: a Framework for Benchmarking Explainers on Transformers
G Attanasio, E Pastor, C Di Bonaventura, D Nozza
arXiv preprint arXiv:2208.01575, 2022
12022
Enhancing Interpretability of Black Box Models by means of Local Rules
E Pastor, E Baralis
2020
Bring Your Own Data to X-PLAIN
E Pastor, E Baralis
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
2020
Data Analysis for Predictive Maintenance in the Automotive Industry
A La Macchia
Politecnico di Torino, 2019
2019
Machine Learning for Diesel After-Treatment Modeling
G Saitta
Politecnico di Torino, 2019
2019
A Big Data Solution for Silhouette Computation
S Prone
Politecnico di Torino, 2019
2019
Deriving Local Internal Logic for Black Box Models.
E Pastor
SEBD, 2018
2018
Data Analytics for the Automotive Industry: Predictive Maintenance
M Matina
Politecnico di Torino, 2018
2018
Algorithms for interpretable machine learning
E Pastor
2017
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Articles 1–20