Luca Casini
Orcid: 0000-0002-3468-6974
According to our database1,
Luca Casini
authored at least 21 papers
between 2018 and 2024.
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Bibliography
2024
Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2024
2023
Applied deep learning and data science with a human-centric and data-centric approach.
PhD thesis, 2023
2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
When Machines Find Sites for the Archaeologists: A Preliminary Study with Semantic Segmentation applied on Satellite Imagery of the Mesopotamian Floodplain.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022
2021
An alternative approach to dimension reduction for pareto distributed data: a case study.
J. Big Data, 2021
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
Categorical data as a stone guest in a data science project for predicting defective water meters.
CoRR, 2021
The Influence of Atmospheric Particulate on the Second Wave of CoViD-19 Pandemic in Emilia-Romagna (Italy): Some Empirical Findings.
Proceedings of the Human Interaction, Emerging Technologies and Future Systems V, 2021
The Role of Inter-Regional Tourism in the Spread of COVID-19 in Italy during the 2020 Summer: A Confirmatory Study.
Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021
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
A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis.
Mob. Networks Appl., 2020
Dimensionality Reduction and the Strange Case of Categorical Data for Predicting Defective Water Meter Devices.
Proceedings of the Human Interaction, Emerging Technologies and Future Applications III, 2020
Potential and Limitations of Designing a Deep Learning Model for Discovering New Archaeological Sites: A Case with the Mesopotamian Floodplain.
Proceedings of the GoodTechs '20: 6th EAI International Conference on Smart Objects and Technologies for Social Good, 2020
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.
J. Big Data, 2019
Deep Water: Predicting Water Meter Failures Through a Human-Machine Intelligence Collaboration.
Proceedings of the Human Interaction and Emerging Technologies, 2019
What Do Patients Tell Doctors on the Internet? Ask AI How to Valorize Online Medical Conversations.
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019
A Paradox in ML Design: Less data for a smarter water metering cognification experience.
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019
2018
Some Reflections on the Potential and Limitations of Deep Learning for Automated Music Generation.
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018