Some Reflections on the Potential and Limitations of Deep Learning for Automated Music Generation. - Luca Casini; Gustavo Marfia; Marco Roccetti (PIMRC, 2018)

A Paradox in ML Design: Less data for a smarter water metering cognification experience. - Marco Roccetti; Giovanni Delnevo; Luca Casini; Nicolò Zagni; Giuseppe Cappiello (GOODTECHS, 2019)

What Do Patients Tell Doctors on the Internet? Ask AI How to Valorize Online Medical Conversations. - Luca Casini; Giovanni Delnevo; Silvia Mirri; Lorenzo Monti; Catia Prandi; Marco Roccetti; Paola Salomoni (ICCCN, 2019)

Deep Water: Predicting Water Meter Failures Through a Human-Machine Intelligence Collaboration. - Luca Casini; Giovanni Delnevo; Marco Roccetti; Nicolò Zagni; Giuseppe Cappiello (IHIET, 2019)

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. - Marco Roccetti; Giovanni Delnevo; Luca Casini; Giuseppe Cappiello (J. Big Data, 2019)

Potential and Limitations of Designing a Deep Learning Model for Discovering New Archaeological Sites: A Case with the Mesopotamian Floodplain. - Marco Roccetti; Luca Casini; Giovanni Delnevo; Valentina Orrù; Nicolò Marchetti (GOODTECHS, 2020)

Dimensionality Reduction and the Strange Case of Categorical Data for Predicting Defective Water Meter Devices. - Marco Roccetti; Luca Casini; Giovanni Delnevo; Simone Bonfante (IHIET (Paris), 2020)

A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis. - Marco Roccetti; Giovanni Delnevo; Luca Casini; Paola Salomoni (Mob. Networks Appl., 2020)

A Cross-Regional Analysis of the COVID-19 Spread during the 2020 Italian Vacation Period: Results from Three Computational Models Are Compared. - Luca Casini; Marco Roccetti (Sensors, 2020)

The Role of Inter-Regional Tourism in the Spread of COVID-19 in Italy during the 2020 Summer: A Confirmatory Study. - Marco Roccetti; Luca Casini (GoodIT, 2021)

The Influence of Atmospheric Particulate on the Second Wave of CoViD-19 Pandemic in Emilia-Romagna (Italy): Some Empirical Findings. - Marco Roccetti; Kathleen Anne Velasco; Luca Casini (IHIET (Paris), 2021)

Categorical data as a stone guest in a data science project for predicting defective water meters. - Giovanni Delnevo; Marco Roccetti; Luca Casini (CoRR, 2021)

The Barrier of meaning in archaeological data science. - Luca Casini; Marco Roccetti; Giovanni Delnevo; Nicolò Marchetti; Valentina Orrù (CoRR, 2021)

A Bayesian Analysis of the Inversion of the SARS-COV-2 Case Rate in the Countries of the 2020 European Football Championship. - Luca Casini; Marco Roccetti (Future Internet, 2021)

An alternative approach to dimension reduction for pareto distributed data: a case study. - Marco Roccetti; Giovanni Delnevo; Luca Casini; Silvia Mirri (J. Big Data, 2021)

When Machines Find Sites for the Archaeologists: A Preliminary Study with Semantic Segmentation applied on Satellite Imagery of the Mesopotamian Floodplain. - Luca Casini; Valentina Orrù; Marco Roccetti; Nicolò Marchetti (GoodIT, 2022)

Tradformer: A Transformer Model of Traditional Music Transcriptions. - Luca Casini; Bob L. T. Sturm (IJCAI, 2022)

Archaeological Sites Detection with a Human-AI Collaboration Workflow. - Luca Casini; Valentina Orrù; Andrea Montanucci; Nicolò Marchetti; Marco Roccetti (CoRR, 2023)

Retrieval Augmented Generation of Symbolic Music with LLMs. - Nicolas Jonason; Luca Casini; Carl Thomé; Bob L. T. Sturm (CoRR, 2023)

Applied deep learning and data science with a human-centric and data-centric approach. - Luca Casini (2023)

Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation. - Luca Casini; Nicolas Jonason; Bob L. T. Sturm (EvoMUSART, 2024)

SYMPLEX: Controllable Symbolic Music Generation using Simplex Diffusion with Vocabulary Priors. - Nicolas Jonason; Luca Casini; Bob L. T. Sturm (CoRR, 2024)

Steer-by-prior Editing of Symbolic Music Loops. - Nicolas Jonason; Luca Casini; Bob L. T. Sturm (CoRR, 2024)

The AI Music Arms Race: On the Detection of AI-Generated Music. - Laura Cros Vila; Bob L. T. Sturm; Luca Casini; David Dalmazzo (Trans. Int. Soc. Music. Inf. Retr., 2025)

SMART: Tuning a symbolic music generation system with an audio domain aesthetic reward. - Nicolas Jonason; Luca Casini; Bob L. T. Sturm (CoRR, 2025)