Luca Casini

About Luca Casini

Luca Casini, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Università degli Studi di Bologna, specializes in the field of Data Science, Computer Science, Music.

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

Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation

Retrieval Augmented Generation of Symbolic Music with LLMs

Generating folk-like music in abc-notation with Masked Language Models

A human–AI collaboration workflow for archaeological sites detection

When machines find sites for the archaeologists: A preliminary study with semantic segmentation applied on satellite imagery of the Mesopotamian floodplain

Tradformer: A Transformer Model of Traditional Music Transcriptions

Questioning the seasonality of SARS-COV-2: a Fourier spectral analysis

The Influence of Atmospheric Particulate on the Second Wave of CoViD-19 Pandemic in Emilia-Romagna (Italy): Some Empirical Findings

Luca Casini Information

University

Position

PhD Candidate in Data Science and Computation

Citations(all)

272

Citations(since 2020)

272

Cited By

65

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Luca Casini Skills & Research Interests

Data Science

Computer Science

Music

Top articles of Luca Casini

Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation

2024/3/29

Luca Casini
Luca Casini

H-Index: 5

Retrieval Augmented Generation of Symbolic Music with LLMs

arXiv preprint arXiv:2311.10384

2023/11/17

Luca Casini
Luca Casini

H-Index: 5

Generating folk-like music in abc-notation with Masked Language Models

2023/11/5

Luca Casini
Luca Casini

H-Index: 5

A human–AI collaboration workflow for archaeological sites detection

Scientific Reports

2023/5/29

Luca Casini
Luca Casini

H-Index: 5

Marco Roccetti
Marco Roccetti

H-Index: 21

When machines find sites for the archaeologists: A preliminary study with semantic segmentation applied on satellite imagery of the Mesopotamian floodplain

2022/9/7

Luca Casini
Luca Casini

H-Index: 5

Marco Roccetti
Marco Roccetti

H-Index: 21

Tradformer: A Transformer Model of Traditional Music Transcriptions

2022

Luca Casini
Luca Casini

H-Index: 5

Questioning the seasonality of SARS-COV-2: a Fourier spectral analysis

BMJ open

2022/4/1

The Influence of Atmospheric Particulate on the Second Wave of CoViD-19 Pandemic in Emilia-Romagna (Italy): Some Empirical Findings

2022

Marco Roccetti
Marco Roccetti

H-Index: 21

Luca Casini
Luca Casini

H-Index: 5

An alternative approach to dimension reduction for pareto distributed data: a case study

Journal of big Data

2021/12

The role of inter-regional tourism in the spread of COVID-19 in Italy during the 2020 Summer: A confirmatory study

2021/9/9

Marco Roccetti
Marco Roccetti

H-Index: 21

Luca Casini
Luca Casini

H-Index: 5

A bayesian analysis of the inversion of the SARS-COV-2 case rate in the countries of the 2020 European Football Championship

Future Internet

2021/8/17

Luca Casini
Luca Casini

H-Index: 5

Marco Roccetti
Marco Roccetti

H-Index: 21

Reopening Italy's Schools in September 2020: A Bayesian Estimation of the Change in the Growth Rate of New SARS-CoV-2 Cases

BMJOpen

2021/7/1

Luca Casini
Luca Casini

H-Index: 5

Marco Roccetti
Marco Roccetti

H-Index: 21

The Barrier of meaning in archaeological data science

arXiv preprint arXiv:2102.06022

2021/2/11

Categorical data as a stone guest in a data science project for predicting defective water meters

arXiv preprint arXiv:2102.03284

2021/2/5

Dimensionality reduction and the strange case of categorical data for predicting defective water meter devices

2021

Deep Water: Predicting water meter failures through a human-machine intelligence collaboration

2020

A cross-regional analysis of the COVID-19 spread during the 2020 Italian vacation period: Results from three computational models are compared

Sensors

2020/12/19

Luca Casini
Luca Casini

H-Index: 5

Marco Roccetti
Marco Roccetti

H-Index: 21

Potential and limitations of designing a deep learning model for discovering new archaeological sites: A case with the Mesopotamian floodplain

2020/9/14

A cautionary tale for machine learning design: why we still need human-assisted big data analysis

Mobile Networks and Applications

2020/6

Medical imaging and artificial intelligence

Philosophy of Advanced Medical Imaging

2020

Luca Casini
Luca Casini

H-Index: 5

Marco Roccetti
Marco Roccetti

H-Index: 21

See List of Professors in Luca Casini University(Università degli Studi di Bologna)

Co-Authors

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