Publications

Lorenzo Cellini, Antonio Macaluso, Michele Lombardi (2024). QAL-BP: an augmented Lagrangian quantum approach for bin packing. Scientific Reports.

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Luca Clissa, Antonio Macaluso, Roberto Morelli, Alessandra Occhinegro, Emiliana Piscitiello, Ludovico Taddei, Marco Luppi, Roberto Amici, Matteo Cerri, Timna Hitrec, Others (2024). Fluorescent Neuronal Cells v2: multi-task, multi-format annotations for deep learning in microscopy. Scientific Data.

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Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori (2024). An efficient quantum algorithm for ensemble classification using bagging. IET Quantum Communication.

Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch (2023). QuACS: Variational Quantum Algorithm for Coalition Structure Generation in Induced Subgraph Games. Proceedings of the 20th ACM International Conference on Computing Frontiers.

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Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Andreas Dengel (2023). Q-Seg: Quantum Annealing-based Unsupervised Image Segmentation. arXiv preprint arXiv:2311.12912.

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Luca Clissa, Antonio Macaluso, Antonio Zoccoli (2023). Optimizing Deep Learning Models for Cell Recognition in Fluorescence Microscopy: The Impact of Loss Functions on Performance and Generalization. International Conference on Image Analysis and Processing.

Akash Sinha, Antonio Macaluso, Matthias Klusch (2023). Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars. arXiv preprint arXiv:2311.12875.

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Antonio Macaluso, Matthias Klusch, Stefano Lodi, Claudio Sartori (2023). MAQA: a quantum framework for supervised learning. Quantum Information Processing.

Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch (2023). Gcs-q: Quantum graph coalition structure generation. International Conference on Computational Science.

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Matteo Antonio Inajetovic, Filippo Orazi, Antonio Macaluso, Stefano Lodi, Claudio Sartori (2023). Enabling Non-linear Quantum Operations Through Variational Quantum Splines. Computational Science – ICCS 2023.

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Antonio Macaluso, Filippo Orazi, Matthias Klusch, Stefano Lodi, Claudio Sartori (2023). A Variational Algorithm for Quantum Single Layer Perceptron. Machine Learning, Optimization, and Data Science.

Nicolò Parmiggiani, Andrea Bulgarelli, Alessandro Ursi, Antonio Macaluso, Ambra Di Piano, Valentina Fioretti, Alessio Aboudan, Leonardo Baroncelli, Antonio Addis, Marco Tavani, Carlotta Pittori (2023). A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System. The Astrophysical Journal.

Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch (2022). BILP-Q: quantum coalition structure generation. Proceedings of the 19th ACM International Conference on Computing Frontiers.

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Antonio Macaluso (2021). A Novel Framework for Quantum Machine Learning. In AlmaDL.

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Ricardo Ñanculef, Francisco Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori (2021). Self-supervised Bernoulli autoencoders for semi-supervised hashing. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal.

Nicolò Parmiggiani, Andrea Bulgarelli, Valentina Fioretti, Ambra Di Piano, Andrea Giuliani, Francesco Longo, Francesco Verrecchia, Marco Tavani, Domenico Beneventano, Antonio Macaluso (2021). A deep learning method for AGILE-GRID gamma-ray burst detection. The Astrophysical Journal.

Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori (2020). Quantum splines for non-linear approximations. Proceedings of the 17th ACM International Conference on Computing Frontiers.

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Antonio Macaluso, Stefano Lodi, Claudio Sartori (2020). Quantum Algorithm for Ensemble Learning. Proceedings of the 21st Italian Conference on Theoretical Computer Science.

Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori (2020). A Variational Algorithm for Quantum Neural Networks. International Conference on Computational Science.

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