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2020 – today
- 2024
[j3]Supreeth Mysore Venkatesh
, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Andreas Dengel:
Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation. IEEE Computer Graphics and Applications 44(5): 27-39 (2024)- [j2]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
An efficient quantum algorithm for ensemble classification using bagging. IET Quantum Commun. 5(3): 253-268 (2024) - [c11]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:
Executive Control in a Mixed Reality Exergame for Motor-Cognitive Rehabilitation in Multiple Sclerosis. ICCE 2024: 1-6 - [i18]Alessandro Rizzo, Nicolò Parmiggiani, Andrea Bulgarelli, Antonio Macaluso, Valentina Fioretti, L. Castaldini, Ambra Di Piano, Gabriele Panebianco, Carlotta Pittori, Marco Tavani, Claudio Sartori, C. Burigana, V. Cardone, F. Farsian, M. Meneghetti, G. Murante, R. Scaramella, Francesco Schillirò, V. Testa, T. Trombetti:
Quantum Convolutional Neural Networks for the detection of Gamma-Ray Bursts in the AGILE space mission data. CoRR abs/2404.14133 (2024) - [i17]Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Andreas Dengel:
Qubit-efficient Variational Quantum Algorithms for Image Segmentation. CoRR abs/2405.14405 (2024) - [i16]Antonio Macaluso:
Quantum Supervised Learning. CoRR abs/2407.17161 (2024) - [i15]Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Andreas Dengel:
Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites. CoRR abs/2408.06007 (2024) - [i14]Matthias Klusch, Jörg Lässig, Daniel Müssig, Antonio Macaluso, Frank K. Wilhelm:
Quantum Artificial Intelligence: A Brief Survey. CoRR abs/2408.10726 (2024) - [i13]Akshaya Srinivasan, Alexander Geng, Antonio Macaluso, Maximilian Kiefer-Emmanouilidis, Ali Moghiseh:
Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation. CoRR abs/2410.10713 (2024) - 2023
- [j1]Antonio Macaluso, Matthias Klusch, Stefano Lodi, Claudio Sartori:
MAQA: a quantum framework for supervised learning. Quantum Inf. Process. 22(3): 159 (2023) - [c10]Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch:
QuACS: Variational Quantum Algorithm for Coalition Structure Generation in Induced Subgraph Games. CF 2023: 197-200 - [c9]Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch:
GCS-Q: Quantum Graph Coalition Structure Generation. ICCS (5) 2023: 138-152 - [c8]Matteo Antonio Inajetovic, Filippo Orazi, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Enabling Non-linear Quantum Operations Through Variational Quantum Splines. ICCS (5) 2023: 177-192 - [c7]Luca Clissa, Antonio Macaluso, Antonio Zoccoli:
Optimizing Deep Learning Models for Cell Recognition in Fluorescence Microscopy: The Impact of Loss Functions on Performance and Generalization. ICIAP Workshops (1) 2023: 179-190 - [i12]Matteo Antonio Inajetovic, Filippo Orazi, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Enabling Non-Linear Quantum Operations through Variational Quantum Splines. CoRR abs/2303.04788 (2023) - [i11]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
Quantum Splines for Non-Linear Approximations. CoRR abs/2303.05428 (2023) - [i10]Antonio Macaluso, Matthias Klusch, Stefano Lodi, Claudio Sartori:
MAQA: A Quantum Framework for Supervised Learning. CoRR abs/2303.11028 (2023) - [i9]Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch:
QuACS: Variational Quantum Algorithm for Coalition Structure Generation in Induced Subgraph Games. CoRR abs/2304.07218 (2023) - [i8]Luca Clissa, Antonio Macaluso, Roberto Morelli, Alessandra Occhinegro, Emiliana Piscitiello, Ludovico Taddei, Marco Luppi, Roberto Amici, Matteo Cerri, Timna Hitrec, Lorenzo Rinaldi, Antonio Zoccoli:
Fluorescent Neuronal Cells v2: Multi-Task, Multi-Format Annotations for Deep Learning in Microscopy. CoRR abs/2307.14243 (2023) - [i7]Lorenzo Cellini, Antonio Macaluso, Michele Lombardi:
QAL-BP: An Augmented Lagrangian Quantum Approach for Bin Packing Problem. CoRR abs/2309.12678 (2023) - [i6]Akash Sinha, Antonio Macaluso, Matthias Klusch:
Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars. CoRR abs/2311.12875 (2023) - [i5]Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Andreas Dengel:
Q-Seg: Quantum Annealing-based Unsupervised Image Segmentation. CoRR abs/2311.12912 (2023) - 2022
- [c6]Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch:
BILP-Q: quantum coalition structure generation. CF 2022: 189-192 - [c5]Antonio Macaluso, Filippo Orazi, Matthias Klusch, Stefano Lodi, Claudio Sartori:
A Variational Algorithm for Quantum Single Layer Perceptron. LOD (2) 2022: 341-356 - [i4]Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch:
BILP-Q: Quantum Coalition Structure Generation. CoRR abs/2204.13802 (2022) - [i3]Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch:
GCS-Q: Quantum Graph Coalition Structure Generation. CoRR abs/2212.11372 (2022) - 2021
- [c4]Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing. CIARP 2021: 258-268 - 2020
- [c3]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
Quantum splines for non-linear approximations. CF 2020: 249-252 - [c2]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
A Variational Algorithm for Quantum Neural Networks. ICCS (6) 2020: 591-604 - [c1]Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Quantum Algorithm for Ensemble Learning. ICTCS 2020: 149-154 - [i2]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
Quantum Ensemble for Classification. CoRR abs/2007.01028 (2020) - [i1]Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing. CoRR abs/2007.08799 (2020)
Coauthor Index
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