Fabio Antonio Stella

About Fabio Antonio Stella

Fabio Antonio Stella, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Università degli Studi di Milano-Bicocca, specializes in the field of Data Science, Artificial Intelligence, Machine Learning, Bayesian networks, Causal networks.

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

Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem

Multi-armed bandits for performance marketing

Surfing the OCEAN: The machine learning psycholexical approach 2.0 to detect personality traits in texts

Special issue on learning from multiple data sources for decision making in health care.

Performance of deep reinforcement learning algorithms in two-echelon inventory control systems

Edge and modular significance assessment in individual-specific networks

The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study

Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks

Fabio Antonio Stella Information

University

Position

___

Citations(all)

1781

Citations(since 2020)

1080

Cited By

1040

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

37

i10Index(since 2020)

23

Email

University Profile Page

Università degli Studi di Milano-Bicocca

Google Scholar

View Google Scholar Profile

Fabio Antonio Stella Skills & Research Interests

Data Science

Artificial Intelligence

Machine Learning

Bayesian networks

Causal networks

Top articles of Fabio Antonio Stella

Title

Journal

Author(s)

Publication Date

Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem

International Journal of Production Economics

Francesco Stranieri

Edoardo Fadda

Fabio Stella

2024/2/1

Multi-armed bandits for performance marketing

International Journal of Data Science and Analytics

Marco Gigli

Fabio Stella

2024/1/19

Surfing the OCEAN: The machine learning psycholexical approach 2.0 to detect personality traits in texts

Journal of Personality

Federico Giannini

Marco Marelli

Fabio Stella

Dario Monzani

Luca Pancani

2024/1/13

Special issue on learning from multiple data sources for decision making in health care.

Journal of Biomedical Informatics

Fabio Stella

Francesco Calimeri

Mauro Dragoni

2024/4/16

Performance of deep reinforcement learning algorithms in two-echelon inventory control systems

International Journal of Production Research

Francesco Stranieri

Fabio Stella

Chaaben Kouki

2024/3/1

Edge and modular significance assessment in individual-specific networks

Scientific Reports

Federico Melograna

Zuqi Li

Gianluca Galazzo

Niels van Best

Monique Mommers

...

2023/5/15

The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study

A Zanga

A Bernasconi

P Lucas

H Pijnenborg

C Reijnen

...

2023

Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks

arXiv preprint arXiv:2308.10606

Alessandro Bregoli

Karin Rathsman

Marco Scutari

Fabio Stella

Søren Wengel Mogensen

2023/8/21

Causal Discovery in Recommender Systems: a Case Study in Online Hotel Search

EMANUELE Cavenaghi

ALESSIO Zanga

A Rimoldi

P Minasi

F Stella

...

2023

Booker prediction from requests for quotation via machine learning techniques

Tourism and hospitality management

Samuel Runggaldier

Gabriele Sottocornola

Andrea Janes

Fabio Stella

Markus Zanker

2023/3/30

Constraint-based and hybrid structure learning of multidimensional continuous-time Bayesian network classifiers

International Journal of Approximate Reasoning

Carlos Villa-Blanco

Alessandro Bregoli

Concha Bielza

Pedro Larrañaga

Fabio Stella

2023/8/1

Towards a Causal Decision-Making Framework for Recommender Systems

ACM Transactions on Recommender Systems

Emanuele Cavenaghi

Alessio Zanga

Fabio Stella

Markus Zanker

2023

A Re-rank Algorithm for Online Hotel Search

Emanuele Cavenaghi

Lorenzo Camaione

Paolo Minasi

Gabriele Sottocornola

Fabio Stella

...

2023/1/15

A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems

ACM Transactions on Recommender Systems

Emanuele Cavenaghi

Gabriele Sottocornola

Fabio Stella

Markus Zanker

2023/7/14

A multi-artifact EEG denoising by frequency-based deep learning

arXiv preprint arXiv:2310.17335

Matteo Gabardi

Aurora Saibene

Francesca Gasparini

Daniele Rizzo

Fabio Antonio Stella

2023/10/26

Development of a Knowledge-Based Expert System for Diagnosing Post-Harvest Diseases of Apple

Agriculture

Gabriele Sottocornola

Sanja Baric

Fabio Stella

Markus Zanker

2023/1/10

Causal Discovery with Missing Data in a Multicentric Clinical Study

Alessio Zanga

Alice Bernasconi

Peter JF Lucas

Hanny Pijnenborg

Casper Reijnen

...

2023/6/5

Analysis of Relevant Factors in Online Hotel Recommendation Through Causal Models

E Cavenaghi

A Zanga

A Rimoldi

P Minasi

M Zanker

...

2023/10/23

Risk assessment of lymph node metastases in endometrial cancer patients: a causal approach

arXiv preprint arXiv:2305.10041

Alessio Zanga

Alice Bernasconi

Peter JF Lucas

Hanny Pijnenborg

Casper Reijnen

...

2023/5/17

Feeling the pulse. Countering foreign information manipulation interference in Afrika and the Western Balkans

Tijana Morača

F Sicurella

Tatjana Sekulić

Justin Armanini

F Stella

2023

See List of Professors in Fabio Antonio Stella University(Università degli Studi di Milano-Bicocca)

Co-Authors

H-index: 42
Markus Zanker

Markus Zanker

Libera Università di Bolzano

H-index: 41
Gabriella Pasi

Gabriella Pasi

Università degli Studi di Milano-Bicocca

H-index: 41
Teresa Zelante

Teresa Zelante

Università degli Studi di Perugia

H-index: 40
Peter Lucas

Peter Lucas

Radboud Universiteit

H-index: 38
Carlo Batini

Carlo Batini

Università degli Studi di Milano-Bicocca

H-index: 23
Alexei Gaivoronski

Alexei Gaivoronski

Norges teknisk-naturvitenskaplige universitet

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