Elena Baralis

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 102

Top Venues

Publications

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)
Alkis Koudounas, Gabriele Ciravegna, Marco Fantini, Giovanni Succo, Erika Crosetti, Tania Cerquitelli, Elena Baralis
Voice Disorder Analysis: a Transformer-based Approach. CoRR (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)
Moreno La Quatra, Alkis Koudounas, Elena Baralis, Sabato Marco Siniscalchi
Speech Analysis of Language Varieties in Italy. CoRR (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)
Gabriele Ciravegna, Alkis Koudounas, Marco Fantini, Tania Cerquitelli, Elena Baralis, Erika Crosetti, Giovanni Succo
Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection. EDBT/ICDT Workshops (2024)
Moreno La Quatra, Alkis Koudounas, Lorenzo Vaiani, Elena Baralis, Luca Cagliero, Paolo Garza, Sabato Marco Siniscalchi
Benchmarking Representations for Speech, Music, and Acoustic Events. CoRR (2024)
Lorenzo Bertetto, Francesca Bettinelli, Alessio Buda, Marco Da Mommio, Simone Di Bari, Claudio Savelli, Elena Baralis, Anna Bernasconi, Luca Cagliero, Stefano Ceri, Francesco Pierri
Towards an Explorable Conceptual Map of Large Language Models. CAiSE Forum (2024)
Moreno La Quatra, Alkis Koudounas, Elena Baralis, Sabato Marco Siniscalchi
Speech Analysis of Language Varieties in Italy. LREC/COLING (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)
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)
Flavio Giobergia, Elena Baralis
Late Fusion-based Distributed Multimodal Learning. BigData (2023)
Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang
On Computing Paradigms - Where Will Large Language Models Be Going. ICDM (2023)
Eliana Pastor, Elena Baralis, Luca de Alfaro
A Hierarchical Approach to Anomalous Subgroup Discovery. ICDE (2023)
Alkis Koudounas, Flavio Giobergia, Irene Benedetto, Simone Monaco, Luca Cagliero, Daniele Apiletti, Elena Baralis
ba휌tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy. EVALITA (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)
Flavio Giobergia, Alkis Koudounas, Elena Baralis
Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning. CoRR (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)
Jacopo Fior, Thomas Favale, Luca Cagliero, Danilo Giordano, Marco Mellia, Elena Baralis, Silvia Ronchiadin, Paolo Baracco, Dario Moncalvo
Legal Entity Disambiguation for Financial Crime Detection. Big Data (2022)
Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. ACL (Findings) (2022)
Lorenzo Vaiani, Alkis Koudounas, Moreno La Quatra, Luca Cagliero, Paolo Garza, Elena Baralis
Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers' Genders. MuSe @ ACM Multimedia (2022)
Moreno La Quatra, Lorenzo Vaiani, Alkis Koudounas, Luca Cagliero, Paolo Garza, Elena Baralis
How Much Attention Should we Pay to Mosquitoes? ACM Multimedia (2022)
Flavio Giobergia, Elena Baralis
RECLAIM: Reverse Engineering Classification Metrics. AIKE (2022)
Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. CoRR (2022)
Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. CIKM (2022)
Moreno La Quatra, Luca Cagliero, Elena Baralis, Alberto Messina, Maurizio Montagnuolo
Summarize Dates First: A Paradigm Shift in Timeline Summarization. SIGIR (2021)
Luca Cagliero, Moreno La Quatra, Paolo Garza, Elena Baralis
Cross-lingual timeline summarization. AIKE (2021)
Eliana Pastor, Luca de Alfaro, Elena Baralis
Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence. SIGMOD Conference (2021)
Luca Cagliero, Paolo Garza, Andrea Pasini, Elena Baralis
Additional Reviewer Assignment by Means of Weighted Association Rules. IEEE Trans. Emerg. Top. Comput. 9 (1) (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)
Dena Markudova, Sachit Mishra, Luca Cagliero, Luca Vassio, Marco Mellia, Elena Baralis, Lucia Salvatori, Riccardo Loti
Preventive maintenance for heterogeneous industrial vehicles with incomplete usage data. Comput. Ind. 130 (2021)
Tania Cerquitelli, Francesco Ventura, Daniele Apiletti, Elena Baralis, Enrico Macii, Massimo Poncino
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. Expert Syst. Appl. 182 (2021)
Moreno La Quatra, Luca Cagliero, Elena Baralis
Leveraging full-text article exploration for citation analysis. Scientometrics 126 (10) (2021)
Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis
Double-Step deep learning framework to improve wildfire severity classification. EDBT/ICDT Workshops (2021)
Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, Silvia Chiusano
DSLE: A Smart Platform for Designing Data Science Competitions. COMPSAC (2020)
Giuseppe Attanasio, Luca Cagliero, Elena Baralis
Leveraging the explainability of associative classifiers to support quantitative stock trading. DSMM@SIGMOD (2020)
Eliana Pastor, Elena Baralis
Bring Your Own Data to X-PLAIN. SIGMOD Conference (2020)
Sachit Mishra, Luca Vassio, Luca Cagliero, Marco Mellia, Elena Baralis, Riccardo Loti, Lucia Salvatori
Machine Learning Supported Next-Maintenance Prediction for Industrial Vehicles. EDBT/ICDT Workshops (2020)
Mohammad Reza Kavoosifar, Daniele Apiletti, Elena Baralis, Paolo Garza, Benoit Huet
Effective video hyperlinking by means of enriched feature sets and monomodal query combinations. Int. J. Multim. Inf. Retr. 9 (3) (2020)
Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis
Training ensembles of faceted classification models for quantitative stock trading. Computing 102 (5) (2020)
Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. EDBT/ICDT Workshops (2020)
Enrico Palumbo, Diego Monti, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis
entity2rec: Property-specific knowledge graph embeddings for item recommendation. Expert Syst. Appl. 151 (2020)
Daniela Renga, Daniele Apiletti, Danilo Giordano, Matteo Nisi, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis
Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis. Computing 102 (5) (2020)
Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, Elena Baralis
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. IEEE BigData (2020)
Moreno La Quatra, Luca Cagliero, Elena Baralis
Exploiting pivot words to classify and summarize discourse facets of scientific papers. Scientometrics 125 (3) (2020)
Daniele Apiletti, Eliana Pastor, Riccardo Callà, Elena Baralis
Evaluating espresso coffee quality by means of time-series feature engineering. EDBT/ICDT Workshops (2020)
Flavio Giobergia, Elena Baralis
Fast Self-Organizing Maps Training. IEEE BigData (2019)
Eliana Pastor, Elena Baralis
Explaining black box models by means of local rules. SAC (2019)
Moreno La Quatra, Luca Cagliero, Elena Baralis
Poli2Sum@CL-SciSumm-19: Identify, Classify, and Summarize Cited Text Spans by means of Ensembles of Supervised Models. BIRNDL@SIGIR (2019)
Luca Cagliero, Laura Farinetti, Elena Baralis
Recommending Personalized Summaries of Teaching Materials. IEEE Access 7 (2019)
Andrea Pasini, Elena Baralis, Paolo Garza, Davide Floriello, Michela Idiomi, Andrea Ortenzi, Simone Ricci
Adaptive Hierarchical Clustering for Petrographic Image Analysis. EDBT/ICDT Workshops (2019)
Tania Cerquitelli, Evelina Di Corso, Stefano Proto, Alfonso Capozzoli, Fabio Bellotti, Maria Giovanna Cassese, Elena Baralis, Marco Mellia, Silvia Casagrande, Martina Tamburini
Exploring energy performance certificates through visualization. EDBT/ICDT Workshops (2019)
Luca Cagliero, Paolo Garza, Elena Baralis
ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis. ACM Trans. Inf. Syst. 37 (2) (2019)
Andrea Pasini, Elena Baralis
Detecting Anomalies in Image Classification by Means of Semantic Relationships. AIKE (2019)
Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis
Towards a real-time unsupervised estimation of predictive model degradation. BIRTE (2019)
Dena Markudova, Elena Baralis, Luca Cagliero, Marco Mellia, Luca Vassio, Elvio Gilberto Amparore, Riccardo Loti, Lucia Salvatori
Heterogeneous Industrial Vehicle Usage Predictions: A Real Case. EDBT/ICDT Workshops (2019)
Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis
Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal. ICDM Workshops (2019)
Francesco Ventura, Stefano Proto, Daniele Apiletti, Tania Cerquitelli, Simone Panicucci, Elena Baralis, Enrico Macii, Alberto Macii
A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs. BigData Congress (2019)
Enrico Palumbo, Alberto Buzio, Andrea Gaiardo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis
Tinderbook: Fall in Love with Culture. ESWC (2019)
Matteo Nisi, Daniela Renga, Daniele Apiletti, Danilo Giordano, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis
Transparently Mining Data from a Medium-voltage Distribution Network: A Prognostic-diagnostic Analysis. EDBT/ICDT Workshops (2019)
Stefano Proto, Francesco Ventura, Daniele Apiletti, Tania Cerquitelli, Elena Baralis, Enrico Macii, Alberto Macii
PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes. BigData Congress (2019)
Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis
Automating concept-drift detection by self-evaluating predictive model degradation. CoRR (2019)
Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis
Quantitative cryptocurrency trading: exploring the use of machine learning techniques. DSMM@SIGMOD (2019)
Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro
Translational Models for Item Recommendation. ESWC (Satellite Events) (2018)
Flavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia, Alessandra Neri, Davide Tricarico, Alessia Tuninetti
Mining Sensor Data for Predictive Maintenance in the Automotive Industry. DSAA (2018)
Luca Venturini, Elena Baralis, Paolo Garza
Scaling associative classification for very large datasets. CoRR (2018)
Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro
Knowledge Graph Embeddings with node2vec for Item Recommendation. ESWC (Satellite Events) (2018)
Elena Baralis, Paolo Garza, Eliana Pastor
A Density-based Preprocessing Technique to Scale Out Clustering. IEEE BigData (2018)
Elena Baralis, Luca Cagliero
Highlighter: Automatic Highlighting of Electronic Learning Documents. IEEE Trans. Emerg. Top. Comput. 6 (1) (2018)
Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis
Discovering cross-topic collaborations among researchers by exploiting weighted association rules. Scientometrics 116 (2) (2018)
Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro
An Empirical Comparison of Knowledge Graph Embeddings for Item Recommendation. DL4KGS@ESWC (2018)
Elena Baralis, Andrea Dalla Valle, Paolo Garza, Claudio Rossi, Francesco Scullino
SQL versus NoSQL databases for geospatial applications. IEEE BigData (2017)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Pietro Michiardi
A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data. Big Data Res. 10 (2017)
Benoit Huet, Elena Baralis, Paolo Garza, Mohammad Reza Kavoosifar
Eurecom-Polito at TRECVID 2017: Hyperlinking task. TRECVID (2017)
Luca Venturini, Elena Baralis, Paolo Garza
Scaling associative classification for very large datasets. J. Big Data 4 (2017)
Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis
Identifying Collaborations among Researchers: a pattern-based approach. BIRNDL@SIGIR (1) (2017)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Luca Venturini
Frequent Itemsets Mining for Big Data: A Comparative Analysis. Big Data Res. 9 (2017)
Luca Cagliero, Laura Farinetti, Elena Baralis
Test-Driven Summarization: Combining Formative Assessment with Teaching Document Summarization. COMPSAC (1) (2017)
Elena Baralis, Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto
Experimental Validation of a Massive Educational Service in a Blended Learning Environment. COMPSAC (1) (2017)
Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto, Elena Baralis
Educational video services in universities: A systematic effectiveness analysis. FIE (2017)
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti
Discovering profitable stocks for intraday trading. Inf. Sci. 405 (2017)
Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis
Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks. RecTour@RecSys (2017)
Elena Baralis, Luca Cagliero, Paolo Garza
Planning stock portfolios by means of weighted frequent itemsets. Expert Syst. Appl. 86 (2017)
Tania Cerquitelli, Elena Baralis, Lia Morra, Silvia Chiusano
Data mining for better healthcare: A path towards automated data analysis? ICDE Workshops (2016)
Elena Baralis, Luca Cagliero
Learning From Summaries: Supporting e-Learning Activities by Means of Document Summarization. IEEE Trans. Emerg. Top. Comput. 4 (3) (2016)
Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Mohammad Reza Kavoosifar
Analyzing air pollution on the urban environment. MIPRO (2016)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Danilo Giordano, Marco Mellia, Luca Venturini
SeLINA: A Self-Learning Insightful Network Analyzer. IEEE Trans. Netw. Serv. Manag. 13 (3) (2016)
Enrico Bocchi, Luigi Grimaudo, Marco Mellia, Elena Baralis, Sabyasachi Saha, Stanislav Miskovic, Gaspar Modelo-Howard, Sung-Ju Lee
MAGMA network behavior classifier for malware traffic. Comput. Networks 109 (2016)
Benoit Huet, Elena Baralis, Paolo Garza, Mohammad Reza Kavoosifar
Eurecom-Polito at TRECVID 2016: Hyperlinking Tasks. TRECVID (2016)
Luca Venturini, Elena Baralis
A spectral analysis of crimes in San Francisco. UrbanGIS@SIGSPATIAL (2016)

Elena Baralis.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Elena Baralis