Quantum splines for non-linear approximations. - Antonio Macaluso; Luca Clissa; Stefano Lodi; Claudio Sartori 001 (CF, 2020)

A Variational Algorithm for Quantum Neural Networks. - Antonio Macaluso; Luca Clissa; Stefano Lodi; Claudio Sartori 001 (ICCS (6), 2020)

Quantum Algorithm for Ensemble Learning. - Antonio Macaluso; Stefano Lodi; Claudio Sartori 001 (ICTCS, 2020)

Quantum Ensemble for Classification. - Antonio Macaluso; Luca Clissa; Stefano Lodi; Claudio Sartori 001 (CoRR, 2020)

Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing. - Ricardo Ñanculef; Francisco Alejandro Mena; Antonio Macaluso; Stefano Lodi; Claudio Sartori 001 (CIARP, 2021)

BILP-Q: quantum coalition structure generation. - Supreeth Mysore Venkatesh; Antonio Macaluso; Matthias Klusch (CF, 2022)

A Variational Algorithm for Quantum Single Layer Perceptron. - Antonio Macaluso; Filippo Orazi; Matthias Klusch; Stefano Lodi; Claudio Sartori 001 (LOD (2), 2022)

QuACS: Variational Quantum Algorithm for Coalition Structure Generation in Induced Subgraph Games. - Supreeth Mysore Venkatesh; Antonio Macaluso; Matthias Klusch (CF, 2023)

Enabling Non-linear Quantum Operations Through Variational Quantum Splines. - Matteo Antonio Inajetovic; Filippo Orazi; Antonio Macaluso; Stefano Lodi; Claudio Sartori 001 (ICCS (5), 2023)

GCS-Q: Quantum Graph Coalition Structure Generation. - Supreeth Mysore Venkatesh; Antonio Macaluso; Matthias Klusch (ICCS (5), 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 (ICIAP Workshops (1), 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)

QAL-BP: An Augmented Lagrangian Quantum Approach for Bin Packing Problem. - Lorenzo Cellini; Antonio Macaluso; Michele Lombardi 001 (CoRR, 2023)

MAQA: a quantum framework for supervised learning. - Antonio Macaluso; Matthias Klusch; Stefano Lodi; Claudio Sartori 001 (Quantum Inf. Process., 2023)

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 (ICCE, 2024)

Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites. - Supreeth Mysore Venkatesh; Antonio Macaluso; Marlon Nuske; Matthias Klusch; Andreas Dengel 001 (QCE, 2024)

Qubit-Efficient Variational Quantum Algorithms for Image Segmentation. - Supreeth Mysore Venkatesh; Antonio Macaluso; Marlon Nuske; Matthias Klusch; Andreas Dengel 001 (QCE, 2024)

Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation. - Supreeth Mysore Venkatesh; Antonio Macaluso; Marlon Nuske; Matthias Klusch; Andreas Dengel 001 (IEEE Computer Graphics and Applications, 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; Claudio Sartori 001; Carlo Burigana; et al. (CoRR, 2024)

Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation. - Akshaya Srinivasan; Alexander Geng; Antonio Macaluso; Maximilian Kiefer-Emmanouilidis; Ali Moghiseh (CoRR, 2024)

An efficient quantum algorithm for ensemble classification using bagging. - Antonio Macaluso; Luca Clissa; Stefano Lodi; Claudio Sartori 001 (IET Quantum Commun., 2024)

Quantum Artificial Intelligence: A Brief Survey. - Matthias Klusch; Jörg Lässig; Daniel Müssig; Antonio Macaluso; Frank K. Wilhelm (Künstliche Intell., 2024)

Quantum Supervised Learning. - Antonio Macaluso (Künstliche Intell., 2024)

$ mathrm{Q(AI)}^2$: Quantum Artificial Intelligence for the Automotive Industry. - Tobias Stollenwerk; Somtapa Bhattacharya; Michele Cattelan; Alessandro Ciani; Gabriele Compostella; David Headley; Johannes Klepsch; Matthias Klusch; Markus Leder; Antonio Macaluso; Kristel Michielsen; Dmytro Nabok; et al. (Künstliche Intell., 2024)

i-QLS: Quantum-Supported Algorithm for Least Squares Optimization in Non-linear Regression. - Supreeth Mysore Venkatesh; Antonio Macaluso; Diego Arenas; Matthias Klusch; Andreas Dengel 001 (ICCS (2), 2025)

Quantum computing and artificial intelligence: status and perspectives. - Giovanni Acampora; Andris Ambainis; Natalia Ares; Leonardo Banchi; Pallavi Bhardwaj; Daniele Binosi; G. Andrew D. Briggs; Tommaso Calarco; Vedran Dunjko; Jens Eisert; Olivier Ezratty; Paul Erker; et al. (CoRR, 2025)

Nav-Q: quantum deep reinforcement learning for collision-free navigation of self-driving cars. - Akash Sinha; Antonio Macaluso; Matthias Klusch (Quantum Mach. Intell., 2025)