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2020 – today
- 2024
[j11]Maurizio Romano
, Giulia Contu, Francesco Mola, Claudio Conversano:
Threshold-based Naïve Bayes classifier. Adv. Data Anal. Classif. 18(2): 325-361 (2024)- 2022
- [j10]Gianpaolo Zammarchi, Claudio Conversano, Claudia Pisanu:
Investigating Shared Genetic Bases between Psychiatric Disorders, Cardiometabolic and Sleep Traits Using K-Means Clustering and Local Genetic Correlation Analysis. Algorithms 15(11): 409 (2022) - [j9]Marco Ortu, Nicola Uras, Claudio Conversano, Silvia Bartolucci, Giuseppe Destefanis:
On technical trading and social media indicators for cryptocurrency price classification through deep learning. Expert Syst. Appl. 198: 116804 (2022) - 2021
- [i2]Marco Ortu, Nicola Uras, Claudio Conversano, Giuseppe Destefanis, Silvia Bartolucci:
On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning. CoRR abs/2102.08189 (2021) - [i1]Gianpaolo Zammarchi, Francesco Mola, Claudio Conversano:
Impact of the COVID-19 outbreak on Italy's country reputation and stock market performance: a sentiment analysis approach. CoRR abs/2103.13871 (2021) - 2020
- [j8]Andrea Carta, Claudio Conversano:
Practical Implementation of the Kelly Criterion: Optimal Growth Rate, Number of Trades, and Rebalancing Frequency for Equity Portfolios. Frontiers Appl. Math. Stat. 6: 577050 (2020) - [j7]Farideh Tavazoee, Claudio Conversano, Francesco Mola:
Recurrent random forest for the assessment of popularity in social media. Knowl. Inf. Syst. 62(5): 1847-1879 (2020)
2010 – 2019
- 2019
- [j6]Claudio Conversano, Massimo Cannas, Francesco Mola, Emiliano Sironi:
Random effects clustering in multilevel modeling: choosing a proper partition. Adv. Data Anal. Classif. 13(1): 279-301 (2019) - 2017
- [j5]Claudio Conversano, Elise Dusseldorp:
Modeling Threshold Interaction Effects Through the Logistic Classification Trunk. J. Classif. 34(3): 399-426 (2017) - [c5]Farideh Tavazoee, Claudio Conversano, Francesco Mola:
Investigating the Relationship Between Tweeting Style and Popularity: The Case of US Presidential Election 2016. KESW 2017: 112-123 - 2014
- [c4]Luca Frigau, Claudio Conversano, Francesco Mola:
Assessing the Reliability of a Multi-Class Classifier. ECDA 2014: 207-217 - 2011
- [j4]Claudio Conversano:
Interactive visualization in multiclass learning: integrating the SASSC algorithm with KLIMT. Comput. Stat. 26(4): 711 (2011)
2000 – 2009
- 2009
- [j3]Claudio Conversano, Roberta Siciliano:
Incremental Tree-Based Missing Data Imputation with Lexicographic Ordering. J. Classif. 26(3): 361-379 (2009) - [r2]Roberta Siciliano, Claudio Conversano:
Decision Tree Induction. Encyclopedia of Data Warehousing and Mining 2009: 624-630 - [r1]Claudio Conversano, Roberta Siciliano:
Statistical Data Editing. Encyclopedia of Data Warehousing and Mining 2009: 1835-1840 - 2002
- [j2]Claudio Conversano:
Bagged Mixtures of Classifiers using Model Scoring Criteria. Pattern Anal. Appl. 5(4): 351-362 (2002) - [c3]Carmela Cappelli, Claudio Conversano:
Canonical Variates for Recursive Partitioning in Data Mining. COMPSTAT 2002: 213-218 - [c2]Claudio Conversano, Carmela Cappelli:
Missing Data Incremental Imputation through Tree Based Methods. COMPSTAT 2002: 455-460 - 2001
- [j1]Claudio Conversano, Francesco Mola, Roberta Siciliano:
Partitioning Algorithms and Combined Model Integration for Data Mining. Comput. Stat. 16(3): 323-339 (2001) - 2000
- [c1]Claudio Conversano, Roberta Siciliano, Francesco Mola:
Supervised Classifier Combination through Generalized Additive Multi-model. Multiple Classifier Systems 2000: 167-176
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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