Luca Casini

30 papers A* 1B 2C 1Journal 14Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data-Driven Analysis of Text-Conditioned AI-Generated Music: A Case Study with Suno and Udio.
CoRR
Luca Casini, Laura Cros Vila, David Dalmazzo, Anna-Kaisa Kaila, Bob L. T. Sturm
2025 — conf
SMART: Tuning a symbolic music generation system with an audio domain aesthetic reward.
AIMC
Nicolas Jonason, Luca Casini, Bob L. T. Sturm
2025 J jnl
SMART: Tuning a symbolic music generation system with an audio domain aesthetic reward.
CoRR
Nicolas Jonason, Luca Casini, Bob L. T. Sturm
2025 J jnl
The AI Music Arms Race: On the Detection of AI-Generated Music.
Trans. Int. Soc. Music. Inf. Retr.
Laura Cros Vila, Bob L. T. Sturm, Luca Casini, David Dalmazzo
2024 — conf
AI Music Studies: Preparing for the Coming Flood.
AIMC
Bob L. T. Sturm, Ken Déguernel, Rujing Stacy Huang, Anna-Kaisa Kaila, Petra Jääskeläinen, Elin Kanhov, Laura Cros Vila, David Cabrera Dalmazzo, Luca Casini, Oliver Roland Bown, Nick Collins, Eric Drott, Jonathan Sterne, Andre Holzapfel, Oded Ben-Tal
2024 C conf
Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation.
EvoMUSART
Luca Casini, Nicolas Jonason, Bob L. T. Sturm
2024 J jnl
SYMPLEX: Controllable Symbolic Music Generation using Simplex Diffusion with Vocabulary Priors.
CoRR
Nicolas Jonason, Luca Casini, Bob L. T. Sturm
2024 — conf
Sparks of Musical AGI? Challenges and perspectives in music co-creation with LLMs.
AIMC
Luca Casini, Nicolas Jonason, Bob L. T. Sturm
2024 J jnl
Steer-by-prior Editing of Symbolic Music Loops.
CoRR
Nicolas Jonason, Luca Casini, Bob L. T. Sturm
2024 — conf
Stochastic Pirate Radio (KSPR): Generative AI applied to simulate commercial radio.
AIMC
Bob L. T. Sturm, Marco Amerotti, David Dalmazzo, Laura Cros Vila, Luca Casini, Elin Kanhov
2023 — —
Applied deep learning and data science with a human-centric and data-centric approach.
Luca Casini
2023 J jnl
Archaeological Sites Detection with a Human-AI Collaboration Workflow.
CoRR
Luca Casini, Valentina Orrù, Andrea Montanucci, Nicolò Marchetti, Marco Roccetti
2023 J jnl
Retrieval Augmented Generation of Symbolic Music with LLMs.
CoRR
Nicolas Jonason, Luca Casini, Carl Thomé, Bob L. T. Sturm
2022 A* conf
Tradformer: A Transformer Model of Traditional Music Transcriptions.
IJCAI
Luca Casini, Bob L. T. Sturm
2022 — conf
When Machines Find Sites for the Archaeologists: A Preliminary Study with Semantic Segmentation applied on Satellite Imagery of the Mesopotamian Floodplain.
GoodIT
Luca Casini, Valentina Orrù, Marco Roccetti, Nicolò Marchetti
2021 J jnl
A Bayesian Analysis of the Inversion of the SARS-COV-2 Case Rate in the Countries of the 2020 European Football Championship.
Future Internet
Luca Casini, Marco Roccetti
2021 J jnl
An alternative approach to dimension reduction for pareto distributed data: a case study.
J. Big Data
Marco Roccetti, Giovanni Delnevo, Luca Casini, Silvia Mirri
2021 J jnl
Categorical data as a stone guest in a data science project for predicting defective water meters.
CoRR
Giovanni Delnevo, Marco Roccetti, Luca Casini
2021 J jnl
The Barrier of meaning in archaeological data science.
CoRR
Luca Casini, Marco Roccetti, Giovanni Delnevo, Nicolò Marchetti, Valentina Orrù
2021 — conf
The Influence of Atmospheric Particulate on the Second Wave of CoViD-19 Pandemic in Emilia-Romagna (Italy): Some Empirical Findings.
IHIET (Paris)
Marco Roccetti, Kathleen Anne Velasco, Luca Casini
2021 — conf
The Role of Inter-Regional Tourism in the Spread of COVID-19 in Italy during the 2020 Summer: A Confirmatory Study.
GoodIT
Marco Roccetti, Luca Casini
2020 J jnl
A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis.
Mob. Networks Appl.
Marco Roccetti, Giovanni Delnevo, Luca Casini, Paola Salomoni
2020 J jnl
A Cross-Regional Analysis of the COVID-19 Spread during the 2020 Italian Vacation Period: Results from Three Computational Models Are Compared.
Sensors
Luca Casini, Marco Roccetti
2020 — conf
Dimensionality Reduction and the Strange Case of Categorical Data for Predicting Defective Water Meter Devices.
IHIET (Paris)
Marco Roccetti, Luca Casini, Giovanni Delnevo, Simone Bonfante
2020 — conf
Potential and Limitations of Designing a Deep Learning Model for Discovering New Archaeological Sites: A Case with the Mesopotamian Floodplain.
GOODTECHS
Marco Roccetti, Luca Casini, Giovanni Delnevo, Valentina Orrù, Nicolò Marchetti
2019 — conf
A Paradox in ML Design: Less data for a smarter water metering cognification experience.
GOODTECHS
Marco Roccetti, Giovanni Delnevo, Luca Casini, Nicolò Zagni, Giuseppe Cappiello
2019 — conf
Deep Water: Predicting Water Meter Failures Through a Human-Machine Intelligence Collaboration.
IHIET
Luca Casini, Giovanni Delnevo, Marco Roccetti, Nicolò Zagni, Giuseppe Cappiello
2019 J jnl
Is bigger always better? A controversial journey to the center of machine learning design, with uses and misuses of big data for predicting water meter failures.
J. Big Data
Marco Roccetti, Giovanni Delnevo, Luca Casini, Giuseppe Cappiello
2019 B conf
What Do Patients Tell Doctors on the Internet? Ask AI How to Valorize Online Medical Conversations.
ICCCN
Luca Casini, Giovanni Delnevo, Silvia Mirri, Lorenzo Monti, Catia Prandi, Marco Roccetti, Paola Salomoni
2018 B conf
Some Reflections on the Potential and Limitations of Deep Learning for Automated Music Generation.
PIMRC
Luca Casini, Gustavo Marfia, Marco Roccetti