Claudio Conversano - researchr alias

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Viewing Publication 1 - 18 from 18

2024

Overlapping coefficient in network-based semi-supervised clusteringClaudio Conversano, Luca Frigau, Giulia Contu. cstat, 39(7):3831-3854, December 2024. [doi]

Threshold-based Naïve Bayes classifierMaurizio Romano, Giulia Contu, Francesco Mola, Claudio Conversano. adac, 18(2):325-361, June 2024. [doi]

Automatic Topic Title Assignment with Word EmbeddingGianpaolo Zammarchi, Maurizio Romano, Claudio Conversano. classification, 41(3):650-677, November 2024. [doi]

2022

On technical trading and social media indicators for cryptocurrency price classification through deep learningMarco Ortu, Nicola Uras, Claudio Conversano, Silvia Bartolucci, Giuseppe Destefanis. eswa, 198:116804, 2022. [doi]

Investigating Shared Genetic Bases between Psychiatric Disorders, Cardiometabolic and Sleep Traits Using K-Means Clustering and Local Genetic Correlation AnalysisGianpaolo Zammarchi, Claudio Conversano, Claudia Pisanu. algorithms, 15(11):409, 2022. [doi]

2020

Practical Implementation of the Kelly Criterion: Optimal Growth Rate, Number of Trades, and Rebalancing Frequency for Equity PortfoliosAndrea Carta, Claudio Conversano. fams, 6:577050, 2020. [doi]

Recurrent random forest for the assessment of popularity in social mediaFarideh Tavazoee, Claudio Conversano, Francesco Mola. kais, 62(5):1847-1879, 2020. [doi]

2019

Random effects clustering in multilevel modeling: choosing a proper partitionClaudio Conversano, Massimo Cannas, Francesco Mola, Emiliano Sironi. adac, 13(1):279-301, 2019. [doi]

2017

Modeling Threshold Interaction Effects Through the Logistic Classification TrunkClaudio Conversano, Elise Dusseldorp. classification, 34(3):399-426, 2017. [doi]

Investigating the Relationship Between Tweeting Style and Popularity: The Case of US Presidential Election 2016Farideh Tavazoee, Claudio Conversano, Francesco Mola. kesw 2017: 112-123 [doi]

2014

Assessing the Reliability of a Multi-Class ClassifierLuca Frigau, Claudio Conversano, Francesco Mola. ecda 2016: 207-217 [doi]

2011

Interactive visualization in multiclass learning: integrating the SASSC algorithm with KLIMTClaudio Conversano. cstat, 26(4):711, 2011. [doi]

2009

Incremental Tree-Based Missing Data Imputation with Lexicographic OrderingClaudio Conversano, Roberta Siciliano. classification, 26(3):361-379, 2009. [doi]

2002

Canonical Variates for Recursive Partitioning in Data MiningCarmela Cappelli, Claudio Conversano. compstat 2002: 213-218 [doi]

Missing Data Incremental Imputation through Tree Based MethodsClaudio Conversano, Carmela Cappelli. compstat 2002: 455-460 [doi]

Bagged Mixtures of Classifiers using Model Scoring CriteriaClaudio Conversano. paa, 5(4):351-362, 2002. [doi]

2001

Partitioning Algorithms and Combined Model Integration for Data MiningClaudio Conversano, Francesco Mola, Roberta Siciliano. cstat, 16(3):323-339, 2001. [doi]

2000

Supervised Classifier Combination through Generalized Additive Multi-modelClaudio Conversano, Roberta Siciliano, Francesco Mola. mcs 2000: 167-176 [doi]

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