Antonio Macaluso

According to our database, Antonio Macaluso authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An efficient quantum algorithm for ensemble classification using bagging.

Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori

IET Quantum Commun., September, 2024

Quantum Artificial Intelligence: A Brief Survey.

Matthias Klusch, Jörg Lässig, Daniel Müssig, Antonio Macaluso, Frank K. Wilhelm

CoRR, 2024

Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites.

Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Andreas Dengel

CoRR, 2024

Quantum Supervised Learning.

Antonio Macaluso

CoRR, 2024

Qubit-efficient Variational Quantum Algorithms for Image Segmentation.

Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Andreas Dengel

CoRR, 2024

Quantum Convolutional Neural Networks for the detection of Gamma-Ray Bursts in the AGILE space mission data.

Alessandro Rizzo, Nicolò Parmiggiani, Andrea Bulgarelli, Antonio Macaluso, Valentina Fioretti, L. Castaldini, Ambra Di Piano, Gabriele Panebianco, Carlotta Pittori, Marco Tavani, C. Sartori, C. Burigana, V. Cardone, F. Farsian, M. Meneghetti, G. Murante, R. Scaramella, Francesco Schillirò, V. Testa, T. Trombetti

CoRR, 2024

Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation.

Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Andreas Dengel

IEEE Computer Graphics and Applications, 2024

Executive Control in a Mixed Reality Exergame for Motor-Cognitive Rehabilitation in Multiple Sclerosis.

Antonio Macaluso, Andrea Bottino, Filippo Gabriele Pratticò, Fabrizio Lamberti, Chiara Galletti, Chiara Storchi, Jessica Podda, Andrea Tacchino, Giampaolo Brichetto, Nicoló Boccardo, Lorenzo De Michieli, Giacinto Barresi

Proceedings of the IEEE International Conference on Consumer Electronics, 2024

2023

MAQA: a quantum framework for supervised learning.

Antonio Macaluso, Matthias Klusch, Stefano Lodi, Claudio Sartori

Quantum Inf. Process., March, 2023

Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars.

Akash Sinha, Antonio Macaluso, Matthias Klusch

CoRR, 2023

QAL-BP: An Augmented Lagrangian Quantum Approach for Bin Packing Problem.

Lorenzo Cellini, Antonio Macaluso, Michele Lombardi

CoRR, 2023

Fluorescent Neuronal Cells v2: Multi-Task, Multi-Format Annotations for Deep Learning in Microscopy.

Luca Clissa, Antonio Macaluso, Roberto Morelli, Alessandra Occhinegro, Emiliana Piscitiello, Ludovico Taddei, Marco Luppi, Roberto Amici, Matteo Cerri, Timna Hitrec, Lorenzo Rinaldi, Antonio Zoccoli

CoRR, 2023

Optimizing Deep Learning Models for Cell Recognition in Fluorescence Microscopy: The Impact of Loss Functions on Performance and Generalization.

Luca Clissa, Antonio Macaluso, Antonio Zoccoli

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

GCS-Q: Quantum Graph Coalition Structure Generation.

Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch

Proceedings of the Computational Science - ICCS 2023, 2023

Enabling Non-linear Quantum Operations Through Variational Quantum Splines.

Matteo Antonio Inajetovic, Filippo Orazi, Antonio Macaluso, Stefano Lodi, Claudio Sartori

Proceedings of the Computational Science - ICCS 2023, 2023

QuACS: Variational Quantum Algorithm for Coalition Structure Generation in Induced Subgraph Games.

Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

A Variational Algorithm for Quantum Single Layer Perceptron.

Antonio Macaluso, Filippo Orazi, Matthias Klusch, Stefano Lodi, Claudio Sartori

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

BILP-Q: quantum coalition structure generation.

Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021

Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing.

Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2020

Quantum Ensemble for Classification.

Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori

CoRR, 2020

Quantum Algorithm for Ensemble Learning.

Antonio Macaluso, Stefano Lodi, Claudio Sartori

Proceedings of the 21st Italian Conference on Theoretical Computer Science, 2020

A Variational Algorithm for Quantum Neural Networks.

Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori

Proceedings of the Computational Science - ICCS 2020, 2020

Quantum splines for non-linear approximations.

Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori

Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020