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Elena Baralis
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Publications
- 2022
- [c113]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: 3893-3897 - [c112]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: 89-94 - [c111]Moreno La Quatra, Lorenzo Vaiani, Alkis Koudounas, Luca Cagliero, Paolo Garza, Elena Baralis:
How Much Attention Should we Pay to Mosquitoes? ACM Multimedia 2022: 7135-7139 - 2021
- [j53]Luca Cagliero, Paolo Garza, Andrea Pasini, Elena Baralis:
Additional Reviewer Assignment by Means of Weighted Association Rules. IEEE Trans. Emerg. Top. Comput. 9(1): 329-341 (2021) - [c110]Luca Cagliero, Moreno La Quatra, Paolo Garza, Elena Baralis:
Cross-lingual timeline summarization. AIKE 2021: 45-53 - [c109]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 - 2020
- [j51]Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis:
Training ensembles of faceted classification models for quantitative stock trading. Computing 102(5): 1213-1225 (2020) - [j49]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): 215-227 (2020) - [c106]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: 5786-5788 - [c105]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: 133-142 - [c103]Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis:
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. EDBT/ICDT Workshops 2020 - 2019
- [j46]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): 21:1-21:33 (2019) - [c91]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 - [c89]Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis:
Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal. ICDM Workshops 2019: 514-521 - [c86]Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis:
Quantitative cryptocurrency trading: exploring the use of machine learning techniques. DSMM@SIGMOD 2019: 1:1-1:6 - 2018
- [j45]Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis:
Discovering cross-topic collaborations among researchers by exploiting weighted association rules. Scientometrics 116(2): 1273-1301 (2018) - [c85]Elena Baralis, Paolo Garza, Eliana Pastor:
A Density-based Preprocessing Technique to Scale Out Clustering. IEEE BigData 2018: 2078-2087 - [i2]Luca Venturini, Elena Baralis, Paolo Garza:
Scaling associative classification for very large datasets. CoRR abs/1805.03887 (2018) - 2017
- [j43]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: 67-83 (2017) - [j42]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: 53-69 (2017) - [j41]Elena Baralis, Luca Cagliero, Paolo Garza:
Planning stock portfolios by means of weighted frequent itemsets. Expert Syst. Appl. 86: 1-17 (2017) - [j40]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti:
Discovering profitable stocks for intraday trading. Inf. Sci. 405: 91-106 (2017) - [j39]Luca Venturini, Elena Baralis, Paolo Garza:
Scaling associative classification for very large datasets. J. Big Data 4: 44 (2017) - [c80]Elena Baralis, Andrea Dalla Valle, Paolo Garza, Claudio Rossi, Francesco Scullino:
SQL versus NoSQL databases for geospatial applications. IEEE BigData 2017: 3388-3397 - [c75]Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis:
Identifying Collaborations among Researchers: a pattern-based approach. BIRNDL@SIGIR (1) 2017: 56-68 - [c74]Benoit Huet, Elena Baralis, Paolo Garza, Mohammad Reza Kavoosifar:
Eurecom-Polito at TRECVID 2017: Hyperlinking task. TRECVID 2017 - 2016
- [j36]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): 696-710 (2016) - [c70]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Mohammad Reza Kavoosifar:
Analyzing air pollution on the urban environment. MIPRO 2016: 1464-1469 - [c69]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Luca Venturini:
SaFe-NeC: A scalable and flexible system for network data characterization. NOMS 2016: 812-816 - [c68]Benoit Huet, Elena Baralis, Paolo Garza, Mohammad Reza Kavoosifar:
Eurecom-Polito at TRECVID 2016: Hyperlinking Tasks. TRECVID 2016 - 2015
- [j34]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza:
Digging deep into weighted patient data through multiple-level patterns. Inf. Sci. 322: 51-71 (2015) - [j32]Dario Antonelli, Elena Baralis, Giulia Bruno, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Naeem Ahmed Mahoto:
MeTA: Characterization of Medical Treatments at Different Abstraction Levels. ACM Trans. Intell. Syst. Technol. 6(4): 57:1-57:25 (2015) - [j31]Elena Baralis, Luca Cagliero, Alessandro Fiori, Paolo Garza:
MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets. ACM Trans. Inf. Syst. 34(1): 5:1-5:35 (2015) - [c67]Elena Baralis, Luca Cagliero, Paolo Garza, Luigi Grimaudo:
PaWI: Parallel Weighted Itemset Mining by Means of MapReduce. BigData Congress 2015: 25-32 - [c60]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Pietro Michiardi, Fabio Pulvirenti:
PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data. ICDM Workshops 2015: 839-846 - 2014
- [j30]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Vincenzo D'Elia, Paolo Garza:
Expressive generalized itemsets. Inf. Sci. 278: 327-343 (2014) - [c58]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti:
Misleading Generalized Itemset Mining in the Cloud. ISPA 2014: 211-216 - [c57]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo, Fabio Pulvirenti, Paolo Garza:
MGI-Cloud: discovery of misleading generalized itemsets. SEBD 2014: 45-52 - [c56]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti:
NEMICO: Mining Network Data through Cloud-Based Data Mining Techniques. UCC 2014: 503-504 - 2013
- [j22]Elena Baralis, Luca Cagliero, Paolo Garza:
EnBay: A Novel Pattern-Based Bayesian Classifier. IEEE Trans. Knowl. Data Eng. 25(12): 2780-2795 (2013) - [c55]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza:
Frequent weighted itemset mining from gene expression data. BIBE 2013: 1-4 - 2012
- [j20]Elena Baralis, Paolo Garza:
I-prune: Item selection for associative classification. Int. J. Intell. Syst. 27(3): 279-299 (2012) - [j19]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza:
Generalized association rule mining with constraints. Inf. Sci. 194: 68-84 (2012) - 2011
- [j18]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti:
CAS-Mine: providing personalized services in context-aware applications by means of generalized rules. Knowl. Inf. Syst. 28(2): 283-310 (2011) - 2010
- [c43]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Vincenzo D'Elia, Paolo Garza:
Support driven opportunistic aggregation for generalized itemset extraction. IEEE Conf. of Intelligent Systems 2010: 102-107 - 2009
- [c37]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti:
Context-Aware User and Service Profiling by Means of Generalized Association Rules. KES (2) 2009: 50-57 - [c36]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti:
Generalized Association Rules to Support Context-aware User and Service Profiling. SEBD 2009: 101-108 - 2008
- [j10]Elena Baralis, Silvia Chiusano, Paolo Garza:
A Lazy Approach to Associative Classification. IEEE Trans. Knowl. Data Eng. 20(2): 156-171 (2008) - 2007
- [j9]Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca:
Answering XML queries by means of data summaries. ACM Trans. Inf. Syst. 25(3): 10 (2007) - 2006
- [c28]Elena Baralis, Paolo Garza:
Associative text categorization exploiting negated words. SAC 2006: 530-535 - 2004
- [c23]Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca:
Summarizing XML Data by Means of Association Rules. EDBT Workshops 2004: 260-269 - [c22]Elena Baralis, Silvia Chiusano, Paolo Garza:
On support thresholds in associative classification. SAC 2004: 553-558 - [c20]Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca:
Answering Queries on XML Data by means of Association Rules. SEBD 2004: 262-269 - 2003
- [c19]Carla-Fabiana Chiasserini, Marco Ajmone Marsan, Elena Baralis, Paolo Garza:
Towards Feasible Topology Formation Algorithms for Bluetooth-based WPANs. HICSS 2003: 313 - [c18]Elena Baralis, Paolo Garza:
Majority Classification by Means of Association Rules. PKDD 2003: 35-46 - 2002
- [c17]Elena Baralis, Paolo Garza:
A Lazy Approach to Pruning Classification Rules. ICDM 2002: 35-42 - [c16]Elena Baralis, Paolo Garza:
Accurate Classification by means of Association Rules. SEBD 2002: 273-280
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