Publications

Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Vittorio Mazzia, Manuel Giollo, Thomas Gueudre, Elisa Reale, Luca Cagliero, Sandro Cumani, Luca De Alfaro, Elena Baralis, Daniele Amberti (2024). Towards Comprehensive Subgroup Performance Analysis in Speech Models. IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Luca De Alfaro, Elena Baralis, Others (2024). Prioritizing Data Acquisition For End-to-End Speech Model Improvement. ICASSP 2024.

Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Luca Cagliero, Francesco Tarasconi (2024). MAINDZ at SemEval-2024 Task 5: CLUEDO-Choosing Legal oUtcome by Explaining Decision through Oversight. Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024).

Alkis Koudounas, Eliana Pastor, Vittorio Mazzia, Manuel Giollo, Thomas Gueudre, Elisa Reale, Giuseppe Attanasio, Luca Cagliero, Sandro Cumani, Luca De Alfaro, Others (2024). Leveraging confidence models for identifying challenging data subgroups in speech models. ICASSPW.

Daniele Rege Cambrin, Eleonora Poeta, Eliana Pastor, Tania Cerquitelli, Elena Baralis, Paolo Garza (2024). KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation.

Eliana Pastor, Francesco Bonchi (2024). Intersectional fair ranking via subgroup divergence. Data Mining and Knowledge Discovery.

Chin-Yuan Yeh, Ting-an Chen, Eliana Pastor, Ming-Syan Chen Shu-Ling Cheng (2024). FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting. AAAI 2024.

Eliana Pastor, Alkis Koudounas, Giuseppe Attanasio, Dirk Hovy, Elena Baralis (2024). Explaining speech classification models via word-level audio segments and paralinguistic features. EACL 2024.

Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Luca Cagliero, Francesco Tarasconi, Elena Baralis (2024). Boosting court judgment prediction and explanation using legal entities. Artificial Intelligence and Law.

Alkis Koudounas, Eliana Pastor, Elena Baralis (2024). Assessing Speech Model Performance: A Subgroup Perspective.

Alkis Koudounas, Eliana Pastor, Barbara Di Eugenio, Elena Baralis Giuseppe Concialdi (2024). Ainur: Harmonizing Speed And Quality In Deep Music Generation through Lyrics-audio Embeddings. ICASSP 2024.

Alkis Koudounas, Flavio Giobergia, Eliana Pastor, Elena Baralis (2024). A Contrastive Learning Approach to Mitigate Bias in Speech Models. Interspeech 2023.

Eleonora Poeta, Flavio Giobergia, Eliana Pastor, Tania Cerquitelli, Elena Baralis (2024). A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data.

Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Elena Baralis, Luca Cagliero, Francesco Tarasconi (2023). PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction. Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023).

Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis (2023). ITALIC: An Italian Intent Classification Dataset. INTERSPEECH 2023.

Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Vittorio Mazzia, Manuel Giollo, Thomas Gueudre, Luca Cagliero, Luca De Alfaro, Elena Baralis, Daniele Amberti (2023). Exploring subgroup performance in end-to-end speech models. ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Eliana Pastor, Alkis Koudounas, Giuseppe Attanasio, Dirk Hovy, Elena Baralis (2023). Explaining speech classification models via word-level audio segments and paralinguistic features. arXiv preprint arXiv:2309.07733.

Eleonora Poeta, Gabriele Ciravegna, Eliana Pastor, Tania Cerquitelli, Elena Baralis (2023). Concept-based explainable artificial intelligence: A survey. arXiv preprint arXiv:2312.12936.

Alan Perotti, Simone Bertolotto, Eliana Pastor, André Panisson (2023). Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers. World Conference on Explainable Artificial Intelligence.

Eliana Pastor, Elena Baralis, Luca De Alfaro (2023). A Hierarchical Approach to Anomalous Subgroup Discovery. 2023 IEEE 39th International Conference on Data Engineering (ICDE).

Andrea Pasini, Flavio Giobergia, Eliana Pastor, Elena Baralis (2022). Semantic image collection summarization with frequent subgraph mining. IEEE Access.

Giuseppe Attanasio, Eliana Pastor, Chiara Di Bonaventura, Debora Nozza (2022). ferret: a Framework for Benchmarking Explainers on Transformers. arXiv preprint arXiv:2208.01575.

Danilo Giordano, Flavio Giobergia, Eliana Pastor, Antonio La Macchia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Davide Tricarico (2022). Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case. Computers in Industry.

Giuseppe Attanasio, Debora Nozza, Eliana Pastor, Dirk Hovy, Others (2022). Benchmarking post-hoc interpretability approaches for transformer-based misogyny detection. Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in NLP.

Eliana Pastor, Others (2021). Pattern-based algorithms for Explainable AI. Politecnico di Torino.

Eliana Pastor, Luca De Alfaro, Elena Baralis (2021). Looking for trouble: Analyzing classifier behavior via pattern divergence. Proceedings of the 2021 International Conference on Management of Data.

Eliana Pastor, Luca De Alfaro, Elena Baralis (2021). Identifying biased subgroups in ranking and classification. arXiv preprint arXiv:2108.07450.

Eliana Pastor, Andrew Gavgavian, Elena Baralis, Luca De Alfaro (2021). How divergent is your data?. Proceedings of the VLDB Endowment.

Danilo Giordano, Eliana Pastor, Flavio Giobergia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Alessandra Neri, Davide Tricarico (2021). Dissecting a data-driven prognostic pipeline: A powertrain use case. Expert Systems with Applications.

Giuseppe Attanasio, Eliana Pastor (2020). PoliTeam@ AMI: Improving sentence embedding similarity with misogyny lexicons for automatic misogyny identification in Italian tweets. EVALITA Evaluation of NLP and Speech Tools for Italian-December 17th, 2020.

Daniele Apiletti, Eliana Pastor, Riccardo Callà, Elena Baralis (2020). Evaluating espresso coffee quality by means of time-series feature engineering.. EDBT/ICDT Workshops.

Daniele Apiletti, Eliana Pastor (2020). Correlating espresso quality with coffee-machine parameters by means of association rule mining. Electronics.

Eliana Pastor, Elena Baralis (2020). Bring Your Own Data to X-PLAIN. Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data.

Eliana Pastor (2019). An example preprint / working paper.

PDF Code Dataset Poster Video Source Document Custom Link

Eliana Pastor, Elena Baralis (2019). Explaining black box models by means of local rules. Proceedings of the 34th ACM/SIGAPP symposium on applied computing.

Elena Baralis, Paolo Garza, Eliana Pastor (2018). A density-based preprocessing technique to scale out clustering. 2018 IEEE International Conference on Big Data (Big Data).

Eliana Pastor, Robert Ford (2015). An example journal article. Journal of Source Themes, 1(1).

Eliana Pastor, Robert Ford (2013). An example conference paper. In ICW.

PDF Cite Code Dataset Project Video Source Document