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2020 – today
- 2024
[c11]Luca Casini
, Nicolas Jonason, Bob L. T. Sturm:
Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation. EvoMUSART 2024: 84-96- [i6]Nicolas Jonason, Luca Casini, Bob L. T. Sturm:
SYMPLEX: Controllable Symbolic Music Generation using Simplex Diffusion with Vocabulary Priors. CoRR abs/2405.12666 (2024) - [i5]Nicolas Jonason, Luca Casini, Bob L. T. Sturm:
Steer-by-prior Editing of Symbolic Music Loops. CoRR abs/2408.02434 (2024) - 2023
- [b1]Luca Casini:
Applied deep learning and data science with a human-centric and data-centric approach. University of Bologna, Italy, 2023 - [i4]Luca Casini, Valentina Orrù, Andrea Montanucci, Nicolò Marchetti, Marco Roccetti:
Archaeological Sites Detection with a Human-AI Collaboration Workflow. CoRR abs/2302.05286 (2023) - [i3]Nicolas Jonason, Luca Casini, Carl Thomé, Bob L. T. Sturm:
Retrieval Augmented Generation of Symbolic Music with LLMs. CoRR abs/2311.10384 (2023) - 2022
- [c10]Luca Casini, Valentina Orrù, Marco Roccetti, Nicolò Marchetti:
When Machines Find Sites for the Archaeologists: A Preliminary Study with Semantic Segmentation applied on Satellite Imagery of the Mesopotamian Floodplain. GoodIT 2022: 378-383 - [c9]Luca Casini, Bob L. T. Sturm:
Tradformer: A Transformer Model of Traditional Music Transcriptions. IJCAI 2022: 4915-4920 - 2021
- [j5]Luca Casini, Marco Roccetti:
A Bayesian Analysis of the Inversion of the SARS-COV-2 Case Rate in the Countries of the 2020 European Football Championship. Future Internet 13(8): 212 (2021) - [j4]Marco Roccetti, Giovanni Delnevo, Luca Casini, Silvia Mirri:
An alternative approach to dimension reduction for pareto distributed data: a case study. J. Big Data 8(1): 1-23 (2021) - [c8]Marco Roccetti, Luca Casini:
The Role of Inter-Regional Tourism in the Spread of COVID-19 in Italy during the 2020 Summer: A Confirmatory Study. GoodIT 2021: 1-6 - [c7]Marco Roccetti, Kathleen Anne Velasco, Luca Casini:
The Influence of Atmospheric Particulate on the Second Wave of CoViD-19 Pandemic in Emilia-Romagna (Italy): Some Empirical Findings. IHIET (Paris) 2021: 983-988 - [i2]Giovanni Delnevo, Marco Roccetti, Luca Casini:
Categorical data as a stone guest in a data science project for predicting defective water meters. CoRR abs/2102.03284 (2021) - [i1]Luca Casini, Marco Roccetti, Giovanni Delnevo, Nicolò Marchetti, Valentina Orrù:
The Barrier of meaning in archaeological data science. CoRR abs/2102.06022 (2021) - 2020
- [j3]Marco Roccetti, Giovanni Delnevo, Luca Casini, Paola Salomoni:
A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis. Mob. Networks Appl. 25(3): 1075-1083 (2020) - [j2]Luca Casini, Marco Roccetti:
A Cross-Regional Analysis of the COVID-19 Spread during the 2020 Italian Vacation Period: Results from Three Computational Models Are Compared. Sensors 20(24): 7319 (2020) - [c6]Marco Roccetti, Luca Casini, Giovanni Delnevo, Valentina Orrù, Nicolò Marchetti:
Potential and Limitations of Designing a Deep Learning Model for Discovering New Archaeological Sites: A Case with the Mesopotamian Floodplain. GOODTECHS 2020: 216-221 - [c5]Marco Roccetti, Luca Casini, Giovanni Delnevo, Simone Bonfante:
Dimensionality Reduction and the Strange Case of Categorical Data for Predicting Defective Water Meter Devices. IHIET (Paris) 2020: 155-159
2010 – 2019
- 2019
- [j1]Marco Roccetti, Giovanni Delnevo, Luca Casini, Giuseppe Cappiello:
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 6: 70 (2019) - [c4]Marco Roccetti, Giovanni Delnevo, Luca Casini, Nicolò Zagni, Giuseppe Cappiello:
A Paradox in ML Design: Less data for a smarter water metering cognification experience. GOODTECHS 2019: 201-206 - [c3]Luca Casini, Giovanni Delnevo, Silvia Mirri, Lorenzo Monti, Catia Prandi, Marco Roccetti, Paola Salomoni:
What Do Patients Tell Doctors on the Internet? Ask AI How to Valorize Online Medical Conversations. ICCCN 2019: 1-6 - [c2]Luca Casini, Giovanni Delnevo, Marco Roccetti, Nicolò Zagni, Giuseppe Cappiello:
Deep Water: Predicting Water Meter Failures Through a Human-Machine Intelligence Collaboration. IHIET 2019: 688-694 - 2018
- [c1]Luca Casini, Gustavo Marfia, Marco Roccetti:
Some Reflections on the Potential and Limitations of Deep Learning for Automated Music Generation. PIMRC 2018: 27-31
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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