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Luca Cagliero
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Publications
- 2024
- [c71]Daniele Rege Cambrin, Luca Cagliero, Paolo Garza:
DQNC2S: DQN-Based Cross-Stream Crisis Event Summarizer. ECIR (3) 2024: 422-430 - [i4]Daniele Rege Cambrin, Luca Cagliero, Paolo Garza:
DQNC2S: DQN-based Cross-stream Crisis event Summarizer. CoRR abs/2401.06683 (2024) - [i3]Yihao Ding, Lorenzo Vaiani, Soyeon Caren Han, Jean Lee, Paolo Garza, Josiah Poon, Luca Cagliero:
M3-VRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding. CoRR abs/2402.17983 (2024) - 2023
- [j45]Luca Cagliero, Jacopo Fior, Paolo Garza:
Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition. Expert Syst. Appl. 216: 119493 (2023) - [j42]Luca Colomba, Luca Cagliero, Paolo Garza:
Density-Based Clustering by Means of Bridge Point Identification. IEEE Trans. Knowl. Data Eng. 35(11): 11274-11287 (2023) - [c56]Lorenzo Vaiani, Luca Cagliero, Paolo Garza:
PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-Translation. SemEval@ACL 2023: 1447-1453 - 2022
- [j40]Jacopo Fior, Luca Cagliero, Paolo Garza:
Leveraging Explainable AI to Support Cryptocurrency Investors. Future Internet 14(9): 251 (2022) - [j38]Elena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza:
Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach. IEEE Trans. Intell. Transp. Syst. 23(11): 21216-21227 (2022) - [c49]Luca Colomba, Luca Cagliero, Paolo Garza:
Mining spatiotemporally invariant patterns. SIGSPATIAL/GIS 2022: 63:1-63:4 - [c48]Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
ViPER: Video-based Perceiver for Emotion Recognition. MuSe @ ACM Multimedia 2022: 67-73 - [c47]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 - [c46]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 - [c45]Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
Leveraging multimodal content for podcast summarization. SAC 2022: 863-870 - 2021
- [j34]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) - [c44]Luca Cagliero, Moreno La Quatra, Paolo Garza, Elena Baralis:
Cross-lingual timeline summarization. AIKE 2021: 45-53 - [c37]Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
PoliTO at TREC 2021 Podcast Summarization Track. TREC 2021 - 2020
- [j32]Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis:
Training ensembles of faceted classification models for quantitative stock trading. Computing 102(5): 1213-1225 (2020) - [c35]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 - [c34]Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis:
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. EDBT/ICDT Workshops 2020 - [c31]Elena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero:
An explainable data-driven approach to web directory taxonomy mapping. KES 2020: 1101-1110 - [c30]Jacopo Fior, Luca Cagliero, Paolo Garza:
Price series cross-correlation analysis to enhance the diversification of itemset-based stock portfolios. DSMM@SIGMOD 2020: 1:1-1:6 - 2019
- [j28]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) - [c28]Luca Cagliero, Silvia Chiusano, Elena Daraio, Paolo Garza:
CarPredictor: Forecasting the Number of Free Floating Car Sharing Vehicles within Restricted Urban Areas. BigData Congress 2019: 72-76 - [c25]Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis:
Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal. ICDM Workshops 2019: 514-521 - [c23]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
- [j27]Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Antonio Attanasio:
Characterizing unpredictable patterns in Wireless Sensor Network data. Inf. Sci. 467: 149-162 (2018) - [j26]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) - [c21]Luca Cagliero, Paolo Garza:
Study of the Applicability of an Itemset-Based Portfolio Planner in a Multi-Market Context. EDBT/ICDT Workshops 2018: 50-55 - 2017
- [j24]Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Xin Xiao:
Predicting critical conditions in bicycle sharing systems. Computing 99(1): 39-57 (2017) - [j23]Elena Baralis, Luca Cagliero, Paolo Garza:
Planning stock portfolios by means of weighted frequent itemsets. Expert Syst. Appl. 86: 1-17 (2017) - [j22]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti:
Discovering profitable stocks for intraday trading. Inf. Sci. 405: 91-106 (2017) - [c20]Luca Cagliero, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero:
Discovering High-Utility Itemsets at Multiple Abstraction Levels. ADBIS (Short Papers and Workshops) 2017: 224-234 - [c15]Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis:
Identifying Collaborations among Researchers: a pattern-based approach. BIRNDL@SIGIR (1) 2017: 56-68 - 2016
- [c13]Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero:
Discovering air quality patterns in urban environments. UbiComp Adjunct 2016: 25-28 - [c12]Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero, Xin Xiao:
Modeling Correlations among Air Pollution-Related Data through Generalized Association Rules. SMARTCOMP 2016: 1-6 - 2015
- [j20]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) - [j19]Luca Cagliero, Silvia Chiusano, Paolo Garza, Giulia Bruno:
Pattern set mining with schema-based constraint. Knowl. Based Syst. 84: 224-238 (2015) - [j18]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) - [j17]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) - [c11]Elena Baralis, Luca Cagliero, Paolo Garza, Luigi Grimaudo:
PaWI: Parallel Weighted Itemset Mining by Means of MapReduce. BigData Congress 2015: 25-32 - 2014
- [j16]Luca Cagliero, Tania Cerquitelli, Paolo Garza, Luigi Grimaudo:
Misleading Generalized Itemset discovery. Expert Syst. Appl. 41(4): 1400-1410 (2014) - [j15]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Vincenzo D'Elia, Paolo Garza:
Expressive generalized itemsets. Inf. Sci. 278: 327-343 (2014) - [j14]Luca Cagliero, Tania Cerquitelli, Paolo Garza, Luigi Grimaudo:
Twitter data analysis by means of Strong Flipping Generalized Itemsets. J. Syst. Softw. 94: 16-29 (2014) - [j12]Luca Cagliero, Paolo Garza:
Infrequent Weighted Itemset Mining Using Frequent Pattern Growth. IEEE Trans. Knowl. Data Eng. 26(4): 903-915 (2014) - [c8]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 - [c7]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 - [c6]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
- [j11]Luca Cagliero, Paolo Garza:
Improving classification models with taxonomy information. Data Knowl. Eng. 86: 85-101 (2013) - [j8]Luca Cagliero, Paolo Garza:
Itemset generalization with cardinality-based constraints. Inf. Sci. 244: 161-174 (2013) - [j4]Elena Baralis, Luca Cagliero, Paolo Garza:
EnBay: A Novel Pattern-Based Bayesian Classifier. IEEE Trans. Knowl. Data Eng. 25(12): 2780-2795 (2013) - [c5]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza:
Frequent weighted itemset mining from gene expression data. BIBE 2013: 1-4 - 2012
- [j3]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza:
Generalized association rule mining with constraints. Inf. Sci. 194: 68-84 (2012) - 2011
- [j2]Luca Cagliero, Tania Cerquitelli, Paolo Garza:
Semi-Automatic Ontology Construction by Exploiting Functional Dependencies and Association Rules. Int. J. Semantic Web Inf. Syst. 7(2): 1-22 (2011) - [j1]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
- [c3]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
- [c2]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 - [c1]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
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last updated on 2024-04-04 20:14 CEST by the dblp team
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