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Antonio Macaluso

Observed names: A. Macaluso, Macaluso, A., Macaluso, Antonio
ORCID: 0000-0002-1348-250X
Observed ORCID: 0000-0002-1348-250X
OpenAlex ID: A5015645640
Quantum Artificial Intelligence: A Brief Survey
2024 · Matthias Klusch, Jörg Lässig, et al. · Künstliche Intell. · 44
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A Variational Algorithm for Quantum Neural Networks
2020 · Antonio Macaluso, Luca Clissa, et al. · Lecture notes in computer science · 44
Nav-Q: quantum deep reinforcement learning for collision-free navigation of self-driving cars
2025 · Akash Sinha, Antonio Macaluso, et al. · Quantum Machine Intelligence · 17
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QAL-BP: an augmented Lagrangian quantum approach for bin packing
2024 · Lorenzo Cellini, Antonio Macaluso, et al. · Scientific Reports · 17
A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System
2023 · N. Parmiggiani, A. Bulgarelli, et al. · The Astrophysical Journal · 17
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GCS-Q: Quantum Graph Coalition Structure Generation
2023 · Supreeth Mysore Venkatesh, Antonio Macaluso, et al. · Lecture notes in computer science · 17
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Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation
2024 · Supreeth Mysore Venkatesh, Antonio Macaluso, et al. · IEEE Computer Graphics and Applications · 16
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BILP-Q
2022 · Supreeth Mysore Venkatesh, Antonio Macaluso, et al. · ACM International Conference on Computing Frontiers (CF) · 13
A Deep Learning Method for AGILE-GRID Gamma-Ray Burst Detection
2021 · N. Parmiggiani, A. Bulgarelli, et al. · The Astrophysical Journal · 13
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Quantum Ensemble for Classification
2020 · Macaluso, Antonio, Clissa, Luca, et al. · arXiv (Cornell University) · 11
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Qubit-Efficient Variational Quantum Algorithms for Image Segmentation
2024 · Supreeth Mysore Venkatesh, Antonio Macaluso, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 8
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Quantum Supervised Learning
2024 · Antonio Macaluso · Künstliche Intell. · 8
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An efficient quantum algorithm for ensemble classification using bagging
2024 · Antonio Macaluso, Luca Clissa, et al. · IET Quantum Communication · 8
QuACS
2023 · Supreeth Mysore Venkatesh, Antonio Macaluso, et al. · ACM International Conference on Computing Frontiers (CF) · 8
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MAQA: a quantum framework for supervised learning
2023 · Antonio Macaluso, Matthias Klusch, et al. · Quantum Information Processing · 8
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A Variational Algorithm for Quantum Single Layer Perceptron
2023 · Antonio Macaluso, Filippo Orazi, et al. · Lecture notes in computer science · 8
Quantum splines for non-linear approximations
2020 · Antonio Macaluso, Luca Clissa, et al. · ACM International Conference on Computing Frontiers (CF) · 8
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Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites
2024 · Supreeth Mysore Venkatesh, Antonio Macaluso, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 7
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Fluorescent Neuronal Cells v2: multi-task, multi-format annotations for deep learning in microscopy
2024 · Luca Clissa, Antonio Macaluso, et al. · Scientific Data · 6
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Acute effects of a dog sport on fitness parameters in young adults: a randomised controlled crossover study
2024 · Valerio Giustino, Ignazio Leale, et al. · Human Movement · 5
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A New Deep Learning Model to Detect Gamma-Ray Bursts in the AGILE Anticoincidence System
2024 · N. Parmiggiani, A. Bulgarelli, et al. · The Astrophysical Journal · 5
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Executive Control in a Mixed Reality Exergame for Motor-Cognitive Rehabilitation in Multiple Sclerosis
2024 · Antonio Macaluso, Andrea Bottino, et al. · International Conference on Consumer Electronics · 5
Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing
2021 · Ricardo Ñanculef, Francisco Mena, et al. · Lecture notes in computer science · 5
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Enabling Non-linear Quantum Operations Through Variational Quantum Splines
2023 · Matteo Antonio Inajetovic, Filippo Orazi, et al. · Lecture notes in computer science · 4
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A comparative study of Q-Seg, quantum-inspired techniques, and U-Net for crack image segmentation
2025 · Akshaya Srinivasan, Alexander Geng, et al. · tm - Technisches Messen · 3
Works count: 50
Citation count: 325
H-index: 10
I10-index: 10
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