Claudio Conversano

About Claudio Conversano

Claudio Conversano, With an exceptional h-index of 14 and a recent h-index of 11 (since 2020), a distinguished researcher at Università degli Studi di Cagliari, specializes in the field of Statistical Learning, Big Data, Causal inference, Data Editing, Computational Finance.

His recent articles reflect a diverse array of research interests and contributions to the field:

PARSEG: a computationally efficient approach for statistical validation of botanical seeds’ images

The Women4Health cohort: a unique cohort to study women-specific mechanisms of cardio-metabolic regulation

Overlapping coefficient in network-based semi-supervised clustering

TECHNART2023-Non-destructive and Microanalytical Techniques in Art and Cultural Heritage

Price indicators for Airbnb accommodations

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

Smart Topics: Designing an Ethreurm Smart Contracts Environment Knowledge-Base Using Natural Language Processing, Social Media and Complex Network Theory

Near-infrared spectroscopy and machine learning for accurate dating of historical books

Claudio Conversano Information

University

Position

- ITALY

Citations(all)

657

Citations(since 2020)

386

Cited By

357

hIndex(all)

14

hIndex(since 2020)

11

i10Index(all)

21

i10Index(since 2020)

11

Email

University Profile Page

Università degli Studi di Cagliari

Google Scholar

View Google Scholar Profile

Claudio Conversano Skills & Research Interests

Statistical Learning

Big Data

Causal inference

Data Editing

Computational Finance

Top articles of Claudio Conversano

Title

Journal

Author(s)

Publication Date

PARSEG: a computationally efficient approach for statistical validation of botanical seeds’ images

Scientific Reports

Luca Frigau

Claudio Conversano

Jaromír Antoch

2024/3/13

The Women4Health cohort: a unique cohort to study women-specific mechanisms of cardio-metabolic regulation

European Heart Journal Open

Fabio Busonero

Stefania Lenarduzzi

Francesca Crobu

Roberta Marie Gentile

Andrea Carta

...

2024/3

Overlapping coefficient in network-based semi-supervised clustering

Computational Statistics

Claudio Conversano

Luca Frigau

Giulia Contu

2024/2/19

TECHNART2023-Non-destructive and Microanalytical Techniques in Art and Cultural Heritage

Floriana Coppola

Luca Frigau

Jernej Markelj

Jasna Malesic

Claudio Conversano

...

2023

Price indicators for Airbnb accommodations

Quality & Quantity

Giulia Contu

Luca Frigau

Claudio Conversano

2023/10

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

psychometrika

Alessio Baldassarre

Elise Dusseldorp

Antonio D’Ambrosio

Mark de Rooij

Claudio Conversano

2023/12

Smart Topics: Designing an Ethreurm Smart Contracts Environment Knowledge-Base Using Natural Language Processing, Social Media and Complex Network Theory

Social Media and Complex Network Theory

Marco Ortu

Giacomo Ibba

Claudio Conversano

Roberto Tonelli

2023

Near-infrared spectroscopy and machine learning for accurate dating of historical books

Journal of the American Chemical Society

Floriana Coppola

Luca Frigau

Jernej Markelj

Jasna Malešič

Claudio Conversano

...

2023/6/6

Iterative threshold-based Naïve bayes classifier

Statistical Methods & Applications

Maurizio Romano

Gianpaolo Zammarchi

Claudio Conversano

2023/9/5

Special issue on Advanced statistical modeling and causal inference with complex data for better decision making

Statistical Methods & Applications

Claudio Conversano

Peng Ding

Alessandra Mattei

Agnese Panzera

Giancarlo Ragozini

2023/10

Threshold-based naïve bayes classifier

Advances in Data Analysis and Classification

Maurizio Romano

Giulia Contu

Francesco Mola

Claudio Conversano

2023/3/14

Using sentiment analysis to evaluate the impact of the COVID-19 outbreak on Italy’s country reputation and stock market performance

Statistical methods & applications

Gianpaolo Zammarchi

Francesco Mola

Claudio Conversano

2023/9

On technical trading and social media indicators for cryptocurrency price classification through deep learning

Expert Systems with Applications

Marco Ortu

Nicola Uras

Claudio Conversano

Silvia Bartolucci

Giuseppe Destefanis

2022/7/15

Cryptocurrency ecosystems and social media environments: An empirical analysis through Hawkes’ models and natural language processing

Machine Learning with Applications

Marco Ortu

Stefano Vacca

Giuseppe Destefanis

Claudio Conversano

2022/3/15

Investigating Shared Genetic Bases between Psychiatric Disorders, Cardiometabolic and Sleep Traits Using K-Means Clustering and Local Genetic Correlation Analysis

Algorithms

Gianpaolo Zammarchi

Claudio Conversano

Claudia Pisanu

2022/11/3

Alessio Baldassarre

Elise Dusseldorp

Antonio D’Ambrosio

Mark de Rooij

Claudio Conversano

2022

Cost–Utility Analysis of Pharmacogenetic Testing Based on CYP2C19 or CYP2D6 in Major Depressive Disorder: Assessing the Drivers of Different Cost-Effectiveness Levels from an …

Clinical Drug Investigation

Andrea Carta

Maria Del Zompo

Anna Meloni

Francesco Mola

Pasquale Paribello

...

2022/9

Fractal analysis of Dow Jones Industrial Index returns

Applied Mathematical Sciences

Claudio Conversano

Ambrogio Pili

Beatrice Venturi

Marco Desogus

2022

Threshold-based Na¨ ıve Bayes Classifier: Customer Satisfaction evaluation

M Romano

G Zammarchi

C Conversano

2022

Evolution of Media Coverage on Climate Change and Environmental Awareness: an Analysis of Tweets from UK and US Newspapers

Classification and Data Science in the Digital Age

Gianpaolo Zammarchi

Maurizio Romano

Claudio Conversano

2022/7/19

See List of Professors in Claudio Conversano University(Università degli Studi di Cagliari)