Claudio Conversano

发表

Improving the performance of image segmentation methods through background subtraction

Francesco Mola, Luca Frigau, Claudio Conversano, 2015 .

An R package for propensity score matching with clustered data

Massimo Cannas, Bruno Arpino, Claudio Conversano, 2016 .

A FINANCIAL DATA MINING MODEL FOR STOCK PICKING

Claudio Conversano, 2002 .

MODEL SELECTION IN CLASSIFICATION TRUNK APPROACH

Claudio Conversano, Elise Dusseldorp, 2009 .

Incremental Tree-Based Imputation with lexicographic ordering

Claudio Conversano, Roberta Siciliano, 2003 .

Bagged Mixtures of Classifiers using Model Scoring Criteria

Claudio Conversano, C. Conversano, 2002, Pattern Analysis and Applications.

Combining an Additive and Tree-Based Regression Model Simultaneously: STIMA

Claudio Conversano, Elise Dusseldorp, Bart Jan Van Os, 2010 .

Assessing the Reliability of a Multi-Class Classifier

Luca Frigau, Claudio Conversano, Francesco Mola, 2014, ECDA.

An Integrated Approach to Select Key Quality Indicators in Transit Services

Claudio Conversano, Alessandro Olivo, Benedetto Barabino, 2020 .

Sequential Automatic Search of a Subset of Classifiers in Multiclass Learning

Claudio Conversano, Francesco Mola, F. Mola, 2008 .

Recurrent random forest for the assessment of popularity in social media

Francesco Mola, Claudio Conversano, Farideh Tavazoee, 2019, Knowledge and Information Systems.

Interactive visualization in multiclass learning: integrating the SASSC algorithm with KLIMT

Claudio Conversano, C. Conversano, 2011, Comput. Stat..

Practical Implementation of the Kelly Criterion: Optimal Growth Rate, Number of Trades, and Rebalancing Frequency for Equity Portfolios

Claudio Conversano, Andrea Carta, C. Conversano, 2020, Frontiers in Applied Mathematics and Statistics.

Supervised Classifier Combination through Generalized Additive Multi-model

Claudio Conversano, Roberta Siciliano, Francesco Mola, 2000, Multiple Classifier Systems.

Tree Harvest: Methods, Software and Some Applications

Claudio Conversano, Roberta Siciliano, M Aria, 2004 .

On the Use of Markov Models in Pharmacoeconomics: Pros and Cons and Implications for Policy Makers

Claudio Conversano, Andrea Carta, C. Conversano, 2020, Frontiers in Public Health.

Classification of Images Background Subtraction in Image Segmentation

Luca Frigau, Claudio Conversano, Francesco Mola, 2016 .

Generalized additive multi-mixture model for data mining

Claudio Conversano, Roberta Siciliano, Francesco Mola, 2002 .

Modeling Threshold Interaction Effects Through the Logistic Classification Trunk

Claudio Conversano, Elise Dusseldorp, E. Dusseldorp, 2017, J. Classif..

Canonical Variates for Recursive Partitioning in Data Mining

Claudio Conversano, Carmela Cappelli, C. Cappelli, 2002, COMPSTAT.

COMBINED METHODS IN MULTI-LABEL CLASSIFICATION ALGORITHMS

Luca Frigau, Claudio Conversano, Francesco Mola, 2017 .

Incremental Tree-Based Missing Data Imputation with Lexicographic Ordering

Claudio Conversano, Roberta Siciliano, R. Siciliano, 2009, J. Classif..

Random effects clustering in multilevel modeling: choosing a proper partition

Massimo Cannas, Claudio Conversano, Francesco Mola, 2018, Adv. Data Anal. Classif..

VISUALIZING AND CLUSTERING FINANCIAL PORTFOLIOS USING INTERNAL COMPOSITIONS

Claudio Conversano, Domenico Vistocco, D. Vistocco, 2009 .

Model Based Visualization of Portfolio Style Analysis

Claudio Conversano, Domenico Vistocco, 2004 .

Decision Tree Inudction

Claudio Conversano, Roberta Siciliano, 2005 .

Partitioning Algorithms and Combined Model Integration for Data Mining

Claudio Conversano, Roberta Siciliano, Francesco Mola, 2001, Comput. Stat..

SEQUENTIAL automatic search OF A SUBSET OF CLASSIFIERS FOR MULTI-ATTRIUBTE RESPONSE PREDICTION

Claudio Conversano, Francesco Mola, 2007 .

Variation in caesarean delivery rates across hospitals: a Bayesian semi-parametric approach

Massimo Cannas, Claudio Conversano, Francesco Mola, 2017 .

Investigating the Relationship Between Tweeting Style and Popularity: The Case of US Presidential Election 2016

Claudio Conversano, Francesco Mola, Farideh Tavazoee, 2017, KESW.

Detecting subset of classifiers for Multi-Attribute response prediction

Claudio Conversano, Francesco Mola, F. Mola, 2010 .

Evolutionary Algorithms in Decision Tree Induction

Claudio Conversano, Raffaele Miele, Francesco Mola, 2008 .

Generalized Additive Multi-Model for Classification and Prediction

Roberta Siciliano, Claudio Conversano, Francesco Mola, 2000 .

SELECTING KEY QUALITY INDICATORS IN PUBLIC TRANSPORT SYSTEMS USING A ROBUST METHOD

Massimo Fantola, Claudio Conversano, Benedetto Barabino, 2018, Urban Transport XXIV.

Semi-parametric models for data mining

Claudio Conversano, Francesco Mola, 2000 .

Analysis of mutual funds’ management styles: a modeling, ranking and visualizing approach

Claudio Conversano, Domenico Vistocco, D. Vistocco, 2010 .

Measuring popularity from Twitter

Francesco Mola, Claudio Conversano, Farideh Tavazoee, 2017 .

Consistent validation of gray-level thresholding image segmentation algorithms based on machine learning classifiers

Francesco Mola, Luca Frigau, Claudio Conversano, 2019, Statistical Papers.

New ways of specifying data edits

Claudio Conversano, Roberta Siciliano, Francesco Mola, 2004 .

Decision Tree Induction

Claudio Conversano, Roberta Siciliano, R. Siciliano, 2009, Encyclopedia of Data Warehousing and Mining.

Missing Data Incremental Imputation through Tree Based Methods

Claudio Conversano, Carmela Cappelli, 2002, COMPSTAT.

Tree-based Classifiers for Conditional Missing Data Incremental Imputation

Claudio Conversano, Roberta Siciliano, 2002 .

Simultaneous Threshold Interaction Modeling Algorithm

Claudio Conversano, Elise Dusseldorp, 2013 .

Statistical Data Editing

Claudio Conversano, Roberta Siciliano, 2009, Encyclopedia of Data Warehousing and Mining.

Intra-assessor inconsistency in setting performance standards

Francesco Mola, Claudio Conversano, Hendrik J. Vos, 2003 .

Network-based Semi-supervised Clustering of Time Series Data

Luca Frigau, Claudio Conversano, Giulia Contu, 2021 .

The Bradley-Terry Regression Trunk approach for Modeling Preference Data with Small Trees.

Antonio D'Ambrosio, Claudio Conversano, Elise Dusseldorp, 2021, Psychometrika.

Impact of the COVID-19 outbreak on Italy's country reputation and stock market performance: a sentiment analysis approach pdf

Claudio Conversano, Francesco Mola, Gianpaolo Zammarchi, 2021, ArXiv.

On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning pdf

Giuseppe Destefanis, Marco Ortu, Claudio Conversano, 2021, Expert Syst. Appl..

The Clockwork Tree Trough Visual Multivariate Splitting

Claudio Conversano, Roberta Siciliano, D Di Benedetto, 2003 .

Simultaneous Threshold Interaction Detection in Binary Classification

Claudio Conversano, Elise Dusseldorp, 2010 .

PREDICTION AND CLASSIFICATION IN NONLINEAR DATA ANALYSIS: SOMETHING OLD, SOMETHING NEW, SOMETHING BORROWED, SOMETHING BLUE

Claudio Conversano, C. Conversano, 2003 .