Eliana Pastor

Orcid: 0000-0002-3664-4137

According to our database1, Eliana Pastor authored at least 22 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Towards Comprehensive Subgroup Performance Analysis in Speech Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Concept-based Explainable Artificial Intelligence: A Survey.
CoRR, 2023

ITALIC: An Italian Intent Classification Dataset.
CoRR, 2023

Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers.
Proceedings of the Explainable Artificial Intelligence, 2023

PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

A Hierarchical Approach to Anomalous Subgroup Discovery.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Exploring Subgroup Performance in End-to-End Speech Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

ferret: a Framework for Benchmarking Explainers on Transformers.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

2022
Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case.
Comput. Ind., 2022

Semantic Image Collection Summarization With Frequent Subgraph Mining.
IEEE Access, 2022

2021
How Divergent Is Your Data?
Proc. VLDB Endow., 2021

Dissecting a data-driven prognostic pipeline: A powertrain use case.
Expert Syst. Appl., 2021

Identifying Biased Subgroups in Ranking and Classification.
CoRR, 2021

Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
Bring Your Own Data to X-PLAIN.
Proceedings of the 2020 International Conference on Management of Data, 2020

PoliTeam @ AMI: Improving Sentence Embedding Similarity with Misogyny Lexicons for Automatic Misogyny Identification in Italian Tweets.
Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), 2020

Evaluating espresso coffee quality by means of time-series feature engineering.
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

2019
Explaining black box models by means of local rules.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018
Deriving Local Internal Logic for Black Box Models.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

A Density-based Preprocessing Technique to Scale Out Clustering.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018


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