Elena Baralis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
94
Venues
38
Active years
1994–2025
Best venue rank
A*
Where they publish
- BEDBT11 papers
- MulticonferenceICASSP6 papers
- AInterspeech6 papers
- A*ICDE5 papers
- MulticonferenceSAC5 papers
- ACIKM4 papers
- A*ICDM4 papers
- A*SIGMOD4 papers
- BCOMPSAC4 papers
- BBigData4 papers
- A*ACL3 papers
- A*SIGIR3 papers
- BCBMS3 papers
- CBIBE3 papers
- BKES3 papers
- A*KDD2 papers
- A*INFOCOM2 papers
- A*VLDB2 papers
- A*IJCAI1 paper
- AMICCAI1 paper
- ACaiSE1 paper
- BCOLING1 paper
- AEACL1 paper
- A*ECCV1 paper
- BDSAA1 paper
- CFIE1 paper
- ARecSys1 paper
- BNOMS1 paper
- BICCCN1 paper
- CISPA1 paper
- UnrankedUCC1 paper
- CMEDI1 paper
- BTrustCom1 paper
- BIWCMC1 paper
- BEuroPar1 paper
- BIM1 paper
- BDaWaK1 paper
- AER1 paper
Papers
94 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs. | Luca Cagliero, Lorenzo Vaiani, Eliana Pastor, Alkis Koudounas, Elena Baralis, Vittorio Mazzia, Sandro Pollastrini, Thomas Gueudr, Manuel Giollo, Daniele Amberti, Yue Wu |
| 2025 | ACL | Privacy Preserving Data Selection for Bias Mitigation in Speech Models. | Alkis Koudounas, Eliana Pastor, Vittorio Mazzia, Manuel Giollo, Thomas Gueudr, Elisa Reale, Luca Cagliero, Sandro Cumani, Luca De Alfaro, Elena Baralis, Daniele Amberti |
| 2025 | CIKM | ERASURE: A Modular and Extensible Framework for Machine Unlearning. | Andrea D'Angelo, Claudio Savelli, Gabriele Tagliente, Flavio Giobergia, Elena Baralis, Giovanni Stilo |
| 2025 | EDBT | Multimodal Fusion Techniques to Enhance Voice Disorder Diagnoses. | Qingqing Liu, Gabriele Ciravegna, Alkis Koudounas, Tania Cerquitelli, Elena Baralis |
| 2025 | ICASSP | voc2vec: A Foundation Model for Non-Verbal Vocalization. | Alkis Koudounas, Moreno La Quatra, Sabato Marco Siniscalchi, Elena Baralis |
| 2025 | IJCAI | How to Make Reproducible Research in Machine Unlearning with ERASURE. | Andrea D'Angelo, Claudio Savelli, Gabriele Tagliente, Flavio Giobergia, Elena Baralis, Giovanni Stilo |
| 2025 | Interspeech | MVP: Multi-source Voice Pathology detection. | Alkis Koudounas, Moreno La Quatra, Gabriele Ciravegna, Marco Fantini, Erika Crosetti, Giovanni Succo, Tania Cerquitelli, Sabato Marco Siniscalchi, Elena Baralis |
| 2025 | Interspeech | "KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding. | Alkis Koudounas, Moreno La Quatra, Eliana Pastor, Sabato Marco Siniscalchi, Elena Baralis |
| 2025 | Interspeech | "Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding. | Alkis Koudounas, Claudio Savelli, Flavio Giobergia, Elena Baralis |
| 2025 | KDD | Detecting Interpretable Subgroup Drifts. | Flavio Giobergia, Eliana Pastor, Luca de Alfaro, Elena Baralis |
| 2025 | KDD | MAD: Multicriteria Anomaly Detection of Suspicious Financial Accounts from Billions of Cash Transactions. | Giordano Paoletti, Flavio Giobergia, Danilo Giordano, Luca Cagliero, Silvia Ronchiadin, Dario Moncalvo, Marco Mellia, Elena Baralis |
| 2025 | MICCAI | Divergence-Aware Training with Automatic Subgroup Mitigation for Breast Tumor Segmentation. | Eleonora Poeta, Luisa Vargas, Daniele Falcetta, Vincenzo Marcian, Eliana Pastor, Tania Cerquitelli, Elena Baralis, Maria A. Zuluaga |
| 2024 | CaiSE | Towards an Explorable Conceptual Map of Large Language Models. | Lorenzo Bertetto, Francesca Bettinelli, Alessio Buda, Marco Da Mommio, Simone Di Bari, Claudio Savelli, Elena Baralis, Anna Bernasconi, Luca Cagliero, Stefano Ceri, Francesco Pierri |
| 2024 | COLING | Speech Analysis of Language Varieties in Italy. | Moreno La Quatra, Alkis Koudounas, Elena Baralis, Sabato Marco Siniscalchi |
| 2024 | EACL | Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features. | Eliana Pastor, Alkis Koudounas, Giuseppe Attanasio, Dirk Hovy, Elena Baralis |
| 2024 | ECCV | KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation. | Daniele Rege Cambrin, Eleonora Poeta, Eliana Pastor, Tania Cerquitelli, Elena Baralis, Paolo Garza |
| 2024 | EDBT | Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection. | Gabriele Ciravegna, Alkis Koudounas, Marco Fantini, Tania Cerquitelli, Elena Baralis, Erika Crosetti, Giovanni Succo |
| 2024 | ICASSP | Ainur: Harmonizing Speed and Quality in Deep Music Generation Through Lyrics-Audio Embeddings. | Giuseppe Concialdi, Alkis Koudounas, Eliana Pastor, Barbara Di Eugenio, Elena Baralis |
| 2024 | ICASSP | Prioritizing Data Acquisition for end-to-end Speech Model Improvement. | Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Luca de Alfaro, Elena Baralis |
| 2024 | ICASSP | Leveraging Confidence Models for Identifying Challenging Data Subgroups in Speech Models. | Alkis Koudounas, Eliana Pastor, Vittorio Mazzia, Manuel Giollo, Thomas Gueudr, Elisa Reale, Giuseppe Attanasio, Luca Cagliero, Sandro Cumani, Luca De Alfaro, Elena Baralis, Daniele Amberti |
| 2024 | ICASSP | Benchmarking Representations for Speech, Music, and Acoustic Events. | Moreno La Quatra, Alkis Koudounas, Lorenzo Vaiani, Elena Baralis, Luca Cagliero, Paolo Garza, Sabato Marco Siniscalchi |
| 2024 | Interspeech | Voice Disorder Analysis: a Transformer-based Approach. | Alkis Koudounas, Gabriele Ciravegna, Marco Fantini, Erika Crosetti, Giovanni Succo, Tania Cerquitelli, Elena Baralis |
| 2024 | Interspeech | A Contrastive Learning Approach to Mitigate Bias in Speech Models. | Alkis Koudounas, Flavio Giobergia, Eliana Pastor, Elena Baralis |
| 2023 | ICASSP | Exploring Subgroup Performance in End-to-End Speech Models. | Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Vittorio Mazzia, Manuel Giollo, Thomas Gueudr, Luca Cagliero, Luca de Alfaro, Elena Baralis, Daniele Amberti |
| 2023 | ICDE | A Hierarchical Approach to Anomalous Subgroup Discovery. | Eliana Pastor, Elena Baralis, Luca de Alfaro |
| 2023 | ICDM | On Computing Paradigms - Where Will Large Language Models Be Going. | Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang |
| 2023 | Interspeech | ITALIC: An Italian Intent Classification Dataset. | Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis |
| 2022 | ACL | Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. | Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis |
| 2022 | CIKM | A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. | Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli |
| 2021 | EDBT | Double-Step deep learning framework to improve wildfire severity classification. | Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis |
| 2021 | SIGIR | Summarize Dates First: A Paradigm Shift in Timeline Summarization. | Moreno La Quatra, Luca Cagliero, Elena Baralis, Alberto Messina, Maurizio Montagnuolo |
| 2021 | SIGMOD | Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence. | Eliana Pastor, Luca de Alfaro, Elena Baralis |
| 2020 | COMPSAC | DSLE: A Smart Platform for Designing Data Science Competitions. | Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, Silvia Chiusano |
| 2020 | EDBT | Evaluating espresso coffee quality by means of time-series feature engineering. | Daniele Apiletti, Eliana Pastor, Riccardo Call, Elena Baralis |
| 2020 | EDBT | Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. | Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis |
| 2020 | EDBT | Machine Learning Supported Next-Maintenance Prediction for Industrial Vehicles. | Sachit Mishra, Luca Vassio, Luca Cagliero, Marco Mellia, Elena Baralis, Riccardo Loti, Lucia Salvatori |
| 2020 | SIGMOD | Leveraging the explainability of associative classifiers to support quantitative stock trading. | Giuseppe Attanasio, Luca Cagliero, Elena Baralis |
| 2020 | SIGMOD | Bring Your Own Data to X-PLAIN. | Eliana Pastor, Elena Baralis |
| 2019 | BigData | PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes. | Stefano Proto, Francesco Ventura, Daniele Apiletti, Tania Cerquitelli, Elena Baralis, Enrico Macii, Alberto Macii |
| 2019 | BigData | A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs. | Francesco Ventura, Stefano Proto, Daniele Apiletti, Tania Cerquitelli, Simone Panicucci, Elena Baralis, Enrico Macii, Alberto Macii |
| 2019 | EDBT | Exploring energy performance certificates through visualization. | Tania Cerquitelli, Evelina Di Corso, Stefano Proto, Alfonso Capozzoli, Fabio Bellotti, Maria Giovanna Cassese, Elena Baralis, Marco Mellia, Silvia Casagrande, Martina Tamburini |
| 2019 | EDBT | Heterogeneous Industrial Vehicle Usage Predictions: A Real Case. | Dena Markudova, Elena Baralis, Luca Cagliero, Marco Mellia, Luca Vassio, Elvio Gilberto Amparore, Riccardo Loti, Lucia Salvatori |
| 2019 | EDBT | Transparently Mining Data from a Medium-voltage Distribution Network: A Prognostic-diagnostic Analysis. | Matteo Nisi, Daniela Renga, Daniele Apiletti, Danilo Giordano, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis |
| 2019 | EDBT | Adaptive Hierarchical Clustering for Petrographic Image Analysis. | Andrea Pasini, Elena Baralis, Paolo Garza, Davide Floriello, Michela Idiomi, Andrea Ortenzi, Simone Ricci |
| 2019 | ICDM | Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal. | Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis |
| 2019 | SAC | Explaining black box models by means of local rules. | Eliana Pastor, Elena Baralis |
| 2019 | SIGIR | Poli2Sum@CL-SciSumm-19: Identify, Classify, and Summarize Cited Text Spans by means of Ensembles of Supervised Models. | Moreno La Quatra, Luca Cagliero, Elena Baralis |
| 2019 | SIGMOD | Quantitative cryptocurrency trading: exploring the use of machine learning techniques. | Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis |
| 2018 | DSAA | Mining Sensor Data for Predictive Maintenance in the Automotive Industry. | Flavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia, Alessandra Neri, Davide Tricarico, Alessia Tuninetti |
| 2017 | COMPSAC | Experimental Validation of a Massive Educational Service in a Blended Learning Environment. | Elena Baralis, Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto |
| 2017 | COMPSAC | Test-Driven Summarization: Combining Formative Assessment with Teaching Document Summarization. | Luca Cagliero, Laura Farinetti, Elena Baralis |
| 2017 | FIE | Educational video services in universities: A systematic effectiveness analysis. | Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto, Elena Baralis |
| 2017 | RecSys | Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks. | Enrico Palumbo, Giuseppe Rizzo, Raphal Troncy, Elena Baralis |
| 2017 | SIGIR | Identifying Collaborations among Researchers: a pattern-based approach. | Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis |
| 2016 | CIKM | Supporting stock trading in multiple foreign markets: a multilingual news summarization approach. | Elena Baralis, Luca Cagliero, Tania Cerquitelli |
| 2016 | ICDE | Data mining for better healthcare: A path towards automated data analysis? | Tania Cerquitelli, Elena Baralis, Lia Morra, Silvia Chiusano |
| 2016 | NOMS | SaFe-NeC: A scalable and flexible system for network data characterization. | Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Luca Venturini |
| 2015 | BigData | Energy Signature Analysis: Knowledge at Your Fingertips. | Andrea Acquaviva, Daniele Apiletti, Antonio Attanasio, Elena Baralis, Lorenzo Bottaccioli, Federico Boni Castagnetti, Tania Cerquitelli, Silvia Chiusano, Enrico Macii, Dario Martellacci, Edoardo Patti |
| 2015 | BigData | PaWI: Parallel Weighted Itemset Mining by Means of MapReduce. | Elena Baralis, Luca Cagliero, Paolo Garza, Luigi Grimaudo |
| 2015 | CBMS | Predicting Cardiopulmonary Response to Incremental Exercise Test. | Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Andrea Giordano, Alessandro Mezzani, Davide Susta, Xin Xiao |
| 2015 | COMPSAC | Generation and Evaluation of Summaries of Academic Teaching Materials. | Elena Baralis, Luca Cagliero, Laura Farinetti |
| 2015 | EDBT | Enhancing Energy Awareness Through the Analysis of Thermal Energy Consumption. | Andrea Acquaviva, Daniele Apiletti, Antonio Attanasio, Elena Baralis, Federico Boni Castagnetti, Tania Cerquitelli, Silvia Chiusano, Enrico Macii, Dario Martellacci, Edoardo Patti |
| 2015 | ICCCN | Network Connectivity Graph for Malicious Traffic Dissection. | Enrico Bocchi, Luigi Grimaudo, Marco Mellia, Elena Baralis, Sabyasachi Saha, Stanislav Miskovic, Gaspar Modelo-Howard, Sung-Ju Lee |
| 2015 | ICDM | PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data. | Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Pietro Michiardi, Fabio Pulvirenti |
| 2014 | ISPA | Misleading Generalized Itemset Mining in the Cloud. | Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti |
| 2014 | UCC | NEMICO: Mining Network Data through Cloud-Based Data Mining Techniques. | Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti |
| 2013 | BIBE | Frequent weighted itemset mining from gene expression data. | Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza |
| 2013 | ICDE | P-Mine: Parallel itemset mining on large datasets. | Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Alberto Grand |
| 2013 | INFOCOM | Self-learning classifier for Internet traffic. | Luigi Grimaudo, Marco Mellia, Elena Baralis, Ram Keralapura |
| 2013 | INFOCOM | Self-Learning Classifier for Internet traffic. | Luigi Grimaudo, Marco Mellia, Elena Baralis, Ram Keralapura |
| 2013 | MEDI | Analysis of Twitter Data Using a Multiple-level Clustering Strategy. | Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo, Xin Xiao |
| 2013 | TrustCom | SeaRum: A Cloud-Based Service for Association Rule Mining. | Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo |
| 2012 | IWCMC | Hierarchical learning for fine grained internet traffic classification. | Luigi Grimaudo, Marco Mellia, Elena Baralis |
| 2012 | SAC | Multi-document summarization exploiting frequent itemsets. | Elena Baralis, Luca Cagliero, Saima Jabeen, Alessandro Fiori |
| 2011 | KES | An Efficient Itemset Mining Approach for Data Streams. | Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Alberto Grand, Luigi Grimaudo |
| 2010 | CBMS | Predicting the highest workload in cardiopulmonary test. | Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Vincenzo D'Elia, Riccardo Molinari, Davide Susta |
| 2010 | CIKM | Summarizing biological literature with BioSumm. | Elena Baralis, Alessandro Fiori |
| 2010 | KES | Analysis of Medical Pathways by Means of Frequent Closed Sequences. | Elena Baralis, Giulia Bruno, Silvia Chiusano, Virna C. Domenici, Naeem Ahmed Mahoto, Caterina Petrigni |
| 2010 | SAC | A persistent HY-Tree to efficiently support itemset mining on large datasets. | Elena Baralis, Tania Cerquitelli, Silvia Chiusano |
| 2009 | KES | Context-Aware User and Service Profiling by Means of Generalized Association Rules. | Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti |
| 2008 | BIBE | BioSumm: A novel summarizer oriented to biological information. | Elena Baralis, Alessandro Fiori, Lorenzo Montrucchio |
| 2007 | BIBE | Gene-Markers Representation for Microarray Data Integration. | Elena Baralis, Elisa Ficarra, Alessandro Fiori, Enrico Macii |
| 2007 | CBMS | SAPhyRA: Stream Analysis for Physiological Risk Assessment. | Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli |
| 2007 | EuroPar | Topic 5 Parallel and Distributed Databases. | Marta Patio-Martnez, Genoveva Vargas-Solar, Elena Baralis, Bettina Kemme |
| 2006 | SAC | Associative text categorization exploiting negated words. | Elena Baralis, Paolo Garza |
| 2005 | ICDE | Index Support for Frequent Itemset Mining in a Relational DBMS. | Elena Baralis, Tania Cerquitelli, Silvia Chiusano |
| 2005 | IM | Data mining techniques for effective and scalable traffic analysis. | Mario Baldi, Elena Baralis, Fulvio Risso |
| 2004 | SAC | On support thresholds in associative classification. | Elena Baralis, Silvia Chiusano, Paolo Garza |
| 2002 | ICDM | A Lazy Approach to Pruning Classification Rules. | Elena Baralis, Paolo Garza |
| 1999 | DaWaK | Incremental Refinement of Mining Queries. | Elena Baralis, Giuseppe Psaila |
| 1997 | ICDE | Performance Evaluation of Rule Semantics in Active Databases. | Elena Baralis, Andrea Bianco |
| 1997 | VLDB | Materialized Views Selection in a Multidimensional Database. | Elena Baralis, Stefano Paraboschi, Ernest Teniente |
| 1994 | ER | Declarative Specification of Constraint Maintenance. | Elena Baralis, Stefano Ceri, Stefano Paraboschi |
| 1994 | VLDB | An Algebraic Approach to Rule Analysis in Expert Database Systems. | Elena Baralis, Jennifer Widom |