Eliana Pastor

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Classification Models

Top Venues

SIGMOD Conference

Publications

Shu-Ling Cheng, Chin-Yuan Yeh, Ting-An Chen, Eliana Pastor, Ming-Syan Chen
FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting. AAAI (2024)
Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Luca de Alfaro, Elena Baralis
Prioritizing Data Acquisition for end-to-end Speech Model Improvement. ICASSP (2024)
Alkis Koudounas, Eliana Pastor, Elena Baralis
Assessing Speech Model Performance: A Subgroup Perspective. SEBD (2024)
Eliana Pastor, Alkis Koudounas, Giuseppe Attanasio, Dirk Hovy, Elena Baralis
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features. EACL (1) (2024)
Alkis Koudounas, Flavio Giobergia, Eliana Pastor, Elena Baralis
A Contrastive Learning Approach to Mitigate Bias in Speech Models. CoRR (2024)
Giuseppe Concialdi, Alkis Koudounas, Eliana Pastor, Barbara Di Eugenio, Elena Baralis
Ainur: Harmonizing Speed and Quality in Deep Music Generation Through Lyrics-Audio Embeddings. ICASSP (2024)
Eliana Pastor, Francesco Bonchi
Intersectional fair ranking via subgroup divergence. Data Min. Knowl. Discov. 38 (4) (2024)
Eleonora Poeta, Flavio Giobergia, Eliana Pastor, Tania Cerquitelli, Elena Baralis
A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data. CoRR (2024)
Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Vittorio Mazzia, Manuel Giollo, Thomas Gueudré, Elisa Reale, Luca Cagliero, Sandro Cumani, Luca de Alfaro, Elena Baralis, Daniele Amberti
Towards Comprehensive Subgroup Performance Analysis in Speech Models. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Eleonora Poeta, Gabriele Ciravegna, Eliana Pastor, Tania Cerquitelli, Elena Baralis
Concept-based Explainable Artificial Intelligence: A Survey. CoRR (2023)
Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Elena Baralis, Luca Cagliero, Francesco Tarasconi
PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction. SemEval@ACL (2023)
Eliana Pastor, Alkis Koudounas, Giuseppe Attanasio, Dirk Hovy, Elena Baralis
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features. CoRR (2023)
Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis
ITALIC: An Italian Intent Classification Dataset. CoRR (2023)
Alan Perotti, Simone Bertolotto, Eliana Pastor, André Panisson
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers. xAI (2) (2023)
Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis
ITALIC: An Italian Intent Classification Dataset. INTERSPEECH (2023)
Alan Perotti, Simone Bertolotto, Eliana Pastor, André Panisson
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers. CoRR (2023)
Eliana Pastor, Elena Baralis, Luca de Alfaro
A Hierarchical Approach to Anomalous Subgroup Discovery. ICDE (2023)
Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Vittorio Mazzia, Manuel Giollo, Thomas Gueudré, Luca Cagliero, Luca de Alfaro, Elena Baralis, Daniele Amberti
Exploring Subgroup Performance in End-to-End Speech Models. ICASSP (2023)
Giuseppe Attanasio, Eliana Pastor, Chiara Di Bonaventura, Debora Nozza
ferret: a Framework for Benchmarking Explainers on Transformers. EACL (System Demonstrations) (2023)
Danilo Giordano, Flavio Giobergia, Eliana Pastor, Antonio La Macchia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Davide Tricarico
Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case. Comput. Ind. 134 (2022)
Andrea Pasini, Flavio Giobergia, Eliana Pastor, Elena Baralis
Semantic Image Collection Summarization With Frequent Subgraph Mining. IEEE Access 10 (2022)
Giuseppe Attanasio, Eliana Pastor, Chiara Di Bonaventura, Debora Nozza
ferret: a Framework for Benchmarking Explainers on Transformers. CoRR (2022)
Eliana Pastor, Luca de Alfaro, Elena Baralis
Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence. SIGMOD Conference (2021)
Eliana Pastor, Luca de Alfaro, Elena Baralis
Identifying Biased Subgroups in Ranking and Classification. CoRR (2021)
Eliana Pastor, Andrew Gavgavian, Elena Baralis, Luca de Alfaro
How Divergent Is Your Data? Proc. VLDB Endow. 14 (12) (2021)
Danilo Giordano, Eliana Pastor, Flavio Giobergia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Alessandra Neri, Davide Tricarico
Dissecting a data-driven prognostic pipeline: A powertrain use case. Expert Syst. Appl. 180 (2021)
Eliana Pastor, Elena Baralis
Bring Your Own Data to X-PLAIN. SIGMOD Conference (2020)
Giuseppe Attanasio, Eliana Pastor
PoliTeam @ AMI: Improving Sentence Embedding Similarity with Misogyny Lexicons for Automatic Misogyny Identification in Italian Tweets. EVALITA (2020)
Daniele Apiletti, Eliana Pastor, Riccardo Callà, Elena Baralis
Evaluating espresso coffee quality by means of time-series feature engineering. EDBT/ICDT Workshops (2020)
Eliana Pastor, Elena Baralis
Explaining black box models by means of local rules. SAC (2019)
Elena Baralis, Paolo Garza, Eliana Pastor
A Density-based Preprocessing Technique to Scale Out Clustering. IEEE BigData (2018)
Eliana Pastor
Deriving Local Internal Logic for Black Box Models. SEBD (2018)