Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDElena Baralis
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j59]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: 103554 (2022)- [c111]Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis:
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. ACL (Findings) 2022: 1105-1119 - [i5]Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis:
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. CoRR abs/2203.09192 (2022) - 2021
- [j58]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: 103468 (2021) - [j57]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: 115109 (2021) - [j56]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: 115269 (2021) - [j55]Eliana Pastor, Andrew Gavgavian, Elena Baralis, Luca de Alfaro:
How Divergent Is Your Data? Proc. VLDB Endow. 14(12): 2835-2838 (2021) - [j54]Moreno La Quatra, Luca Cagliero, Elena Baralis:
Leveraging full-text article exploration for citation analysis. Scientometrics 126(10): 8275-8293 (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 - [c108]Moreno La Quatra, Luca Cagliero, Elena Baralis, Alberto Messina, Maurizio Montagnuolo:
Summarize Dates First: A Paradigm Shift in Timeline Summarization. SIGIR 2021: 418-427 - [c107]Eliana Pastor, Luca de Alfaro, Elena Baralis:
Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence. SIGMOD Conference 2021: 1400-1412 - [i4]Eliana Pastor, Luca de Alfaro, Elena Baralis:
Identifying Biased Subgroups in Ranking and Classification. CoRR abs/2108.07450 (2021) - 2020
- [j52]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): 1199-1211 (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) - [j50]Enrico Palumbo, Diego Monti, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis:
entity2rec: Property-specific knowledge graph embeddings for item recommendation. Expert Syst. Appl. 151: 113235 (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) - [j48]Moreno La Quatra, Luca Cagliero, Elena Baralis:
Exploiting pivot words to classify and summarize discourse facets of scientific papers. Scientometrics 125(3): 3139-3157 (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 - [c104]Daniele Apiletti, Eliana Pastor, Riccardo Callà, Elena Baralis:
Evaluating espresso coffee quality by means of time-series feature engineering. EDBT/ICDT Workshops 2020 - [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 - [c102]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 - [c101]Giuseppe Attanasio, Luca Cagliero, Elena Baralis:
Leveraging the explainability of associative classifiers to support quantitative stock trading. DSMM@SIGMOD 2020: 2:1-2:6 - [c100]Eliana Pastor, Elena Baralis:
Bring Your Own Data to X-PLAIN. SIGMOD Conference 2020: 2805-2808
2010 – 2019
- 2019
- [j47]Luca Cagliero, Laura Farinetti, Elena Baralis:
Recommending Personalized Summaries of Teaching Materials. IEEE Access 7: 22729-22739 (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) - [c99]Andrea Pasini, Elena Baralis:
Detecting Anomalies in Image Classification by Means of Semantic Relationships. AIKE 2019: 231-238 - [c98]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: 139-143 - [c97]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: 144-148 - [c96]Flavio Giobergia, Elena Baralis:
Fast Self-Organizing Maps Training. IEEE BigData 2019: 2257-2266 - [c95]Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis:
Towards a real-time unsupervised estimation of predictive model degradation. BIRTE 2019: 5:1-5:6 - [c94]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 - [c93]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 - [c92]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 - [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 - [c90]Enrico Palumbo, Alberto Buzio, Andrea Gaiardo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis:
Tinderbook: Fall in Love with Culture. ESWC 2019: 590-605 - [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 - [c88]Eliana Pastor, Elena Baralis:
Explaining black box models by means of local rules. SAC 2019: 510-517 - [c87]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: 233-246 - [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 - [i3]Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis:
Automating concept-drift detection by self-evaluating predictive model degradation. CoRR abs/1907.08120 (2019) - 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) - [j44]Elena Baralis, Luca Cagliero:
Highlighter: Automatic Highlighting of Electronic Learning Documents. IEEE Trans. Emerg. Top. Comput. 6(1): 7-19 (2018) - [c85]Elena Baralis, Paolo Garza, Eliana Pastor:
A Density-based Preprocessing Technique to Scale Out Clustering. IEEE BigData 2018: 2078-2087 - [c84]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: 351-360 - [c83]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: 14-20 - [c82]Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro:
Knowledge Graph Embeddings with node2vec for Item Recommendation. ESWC (Satellite Events) 2018: 117-120 - [c81]Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro:
Translational Models for Item Recommendation. ESWC (Satellite Events) 2018: 478-490 - [p7]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Rosa Meo:
Data Mining in Databases: Languages and Indices. A Comprehensive Guide Through the Italian Database Research 2018: 341-351 - [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 - [c79]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: 381-390 - [c78]Luca Cagliero, Laura Farinetti, Elena Baralis:
Test-Driven Summarization: Combining Formative Assessment with Teaching Document Summarization. COMPSAC (1) 2017: 401-406 - [c77]Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto, Elena Baralis:
Educational video services in universities: A systematic effectiveness analysis. FIE 2017: 1-9 - [c76]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: 1-8 - [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
- [j38]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: 142-156 (2016) - [j37]Elena Baralis, Luca Cagliero:
Learning From Summaries: Supporting e-Learning Activities by Means of Document Summarization. IEEE Trans. Emerg. Top. Comput. 4(3): 416-428 (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) - [c73]Elena Baralis, Luca Cagliero, Tania Cerquitelli:
Supporting stock trading in multiple foreign markets: a multilingual news summarization approach. DSMM@SIGMOD 2016: 3:1-3:6 - [c72]Luca Venturini, Elena Baralis:
A spectral analysis of crimes in San Francisco. UrbanGIS@SIGSPATIAL 2016: 4:1-4:4 - [c71]Tania Cerquitelli, Elena Baralis, Lia Morra, Silvia Chiusano:
Data mining for better healthcare: A path towards automated data analysis? ICDE Workshops 2016: 60-63 - [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 - [e1]Mirjana Ivanovic, Bernhard Thalheim, Barbara Catania, Klaus-Dieter Schewe, Marite Kirikova, Petr Saloun, Ajantha Dahanayake, Tania Cerquitelli, Elena Baralis, Pietro Michiardi:
New Trends in Databases and Information Systems - ADBIS 2016 Short Papers and Workshops, BigDap, DCSA, DC, Prague, Czech Republic, August 28-31, 2016, Proceedings. Communications in Computer and Information Science 637, Springer 2016, ISBN 978-3-319-44065-1 [contents] - 2015
- [j35]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Alberto Grand:
Scalable out-of-core itemset mining. Inf. Sci. 293: 146-162 (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) - [j33]Danilo Giordano, Stefano Traverso, Luigi Grimaudo, Marco Mellia, Elena Baralis, Alok Tongaonkar, Sabyasachi Saha:
YouLighter: A Cognitive Approach to Unveil YouTube CDN and Changes. IEEE Trans. Cogn. Commun. Netw. 1(2): 161-174 (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 - [c66]Andrea Acquaviva, Daniele Apiletti, Antonio Attanasio, Elena Baralis, Lorenzo Bottaccioli, Federico Boni Castagnetti, Tania Cerquitelli, Silvia Chiusano, Enrico Macii, Dario Martellacci, Edoardo Patti:
Energy Signature Analysis: Knowledge at Your Fingertips. BigData Congress 2015: 543-550 - [c65]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Andrea Giordano, Alessandro Mezzani, Davide Susta, Xin Xiao:
Predicting Cardiopulmonary Response to Incremental Exercise Test. CBMS 2015: 135-140 - [c64]Alessandro Finamore, Sabyasachi Saha, Gaspar Modelo-Howard, Sung-Ju Lee, Enrico Bocchi, Luigi Grimaudo, Marco Mellia, Elena Baralis:
Macroscopic view of malware in home networks. CCNC 2015: 262-266 - [c63]Elena Baralis, Luca Cagliero, Laura Farinetti:
Generation and Evaluation of Summaries of Academic Teaching Materials. COMPSAC 2015: 881-886 - [c62]Andrea Acquaviva, Daniele Apiletti, Antonio Attanasio, Elena Baralis, Federico Boni Castagnetti, Tania Cerquitelli, Silvia Chiusano, Enrico Macii, Dario Martellacci, Edoardo Patti:
Enhancing Energy Awareness Through the Analysis of Thermal Energy Consumption. EDBT/ICDT Workshops 2015: 64-71 - [c61]Enrico Bocchi, Luigi Grimaudo, Marco Mellia, Elena Baralis, Sabyasachi Saha, Stanislav Miskovic, Gaspar Modelo-Howard, Sung-Ju Lee:
Network Connectivity Graph for Malicious Traffic Dissection. ICCCN 2015: 1-9 - [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 - [c59]Danilo Giordano, Stefano Traverso, Luigi Grimaudo, Marco Mellia, Elena Baralis, Alok Tongaonkar, Sabyasachi Saha:
YouLighter: An Unsupervised Methodology to Unveil YouTube CDN Changes. International Teletraffic Congress 2015: 19-27 - [i1]Danilo Giordano, Stefano Traverso, Luigi Grimaudo, Marco Mellia, Elena Baralis, Alok Tongaonkar, Sabyasachi Saha:
YouLighter: An Unsupervised Methodology to Unveil YouTube CDN Changes. CoRR abs/1503.05426 (2015) - 2014
- [j30]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Vincenzo D'Elia, Paolo Garza:
Expressive generalized itemsets. Inf. Sci. 278: 327-343 (2014) - [j29]Elena Baralis, Luca Cagliero:
RIB: A Robust Itemset-based Bayesian approach to classification. Knowl. Based Syst. 71: 366-375 (2014) - [j28]Luigi Grimaudo, Marco Mellia, Elena Baralis, Ram Keralapura:
SeLeCT: Self-Learning Classifier for Internet Traffic. IEEE Trans. Netw. Serv. Manag. 11(2): 144-157 (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
- [j27]Elena Baralis, Andrea Bianco, Tania Cerquitelli, Luca Chiaraviglio, Marco Mellia:
NetCluster: A clustering-based framework to analyze internet passive measurements data. Comput. Networks 57(17): 3300-3315 (2013) - [j26]Dario Antonelli, Elena Baralis, Giulia Bruno, Tania Cerquitelli, Silvia Chiusano, Naeem A. Mahoto:
Analysis of diabetic patients through their examination history. Expert Syst. Appl. 40(11): 4672-4678 (2013) - [j25]Elena Baralis, Luca Cagliero, Saima Jabeen, Alessandro Fiori, Sajid Shah:
Multi-document summarization based on the Yago ontology. Expert Syst. Appl. 40(17): 6976-6984 (2013) - [j24]Elena Baralis, Luca Cagliero, Naeem A. Mahoto, Alessandro Fiori:
GraphSum: Discovering correlations among multiple terms for graph-based summarization. Inf. Sci. 249: 96-109 (2013) - [j23]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Vincenzo D'Elia, Riccardo Molinari, Davide Susta:
Early prediction of the highest workload in incremental cardiopulmonary tests. ACM Trans. Intell. Syst. Technol. 4(4): 70:1-70:20 (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 - [c54]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Alberto Grand:
P-Mine: Parallel itemset mining on large datasets. ICDE Workshops 2013: 266-271 - [c53]Luigi Grimaudo, Marco Mellia, Elena Baralis, Ram Keralapura:
Self-Learning Classifier for Internet traffic. INFOCOM Workshops 2013: 423-428 - [c52]Luigi Grimaudo, Marco Mellia, Elena Baralis, Ram Keralapura:
Self-learning classifier for Internet traffic. INFOCOM 2013: 3381-3386 - [c51]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo, Xin Xiao:
Analysis of Twitter Data Using a Multiple-level Clustering Strategy. MEDI 2013: 13-24 - [c50]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo:
Association Rule Mining as a Cloud-Based Service. SEBD 2013: 461-468 - [c49]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo:
SeaRum: A Cloud-Based Service for Association Rule Mining. TrustCom/ISPA/IUCC 2013: 1283-1290 - 2012
- [j21]Daniele Apiletti, Elena Baralis, Giulia Bruno, Alessandro Fiori:
MaskedPainter: Feature selection for microarray data analysis. Intell. Data Anal. 16(4): 717-737 (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) - [c48]Luigi Grimaudo, Marco Mellia, Elena Baralis:
Hierarchical learning for fine grained internet traffic classification. IWCMC 2012: 463-468 - [c47]Elena Baralis, Luca Cagliero, Saima Jabeen, Alessandro Fiori:
Multi-document summarization exploiting frequent itemsets. SAC 2012: 782-786 - 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) - [j17]Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
Energy-saving models for wireless sensor networks. Knowl. Inf. Syst. 28(3): 615-644 (2011) - [j16]Elena Baralis, Giulia Bruno, Alessandro Fiori:
Measuring gene similarity by means of the classification distance. Knowl. Inf. Syst. 29(1): 81-101 (2011) - [c46]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Alberto Grand, Luigi Grimaudo:
An Efficient Itemset Mining Approach for Data Streams. KES (2) 2011: 515-523 - 2010
- [j15]Elena Baralis, Tania Cerquitelli, Silvia Chiusano:
Constrained itemset mining on a sequence of incoming data blocks. Int. J. Intell. Syst. 25(5): 389-410 (2010) - [c45]