| 2026 | ISCAS | A Unified Quantum Circuit Framework for Grover Search and Quantum Walks in NISQ Cryptanalysis. | Leonardo Lavagna, Giacomo Vittori, Antonello Rosato, Massimo Panella |
| 2026 | ISCAS | Additive Resource Scaling in Quantum Circuits for Search in Cryptanalysis. | Leonardo Lavagna, Giacomo Vittori, Antonello Rosato, Massimo Panella |
| 2026 | ISCAS | Knowledge Distillation in the QAOA Setting for Advantage on Quantum Hardware. | Simone Piperno, David Windridge, Giacomo Vittori, Antonello Rosato, Massimo Panella |
| 2025 | IJCNN | HD-CBBIN: A Lightweight Approach for Contextual Bandit Learning in Real-Time Applications. | Marco Angioli, Antonello Rosato, Marcello Barbirotta, Rocco Martino, Andrea Marcelli, Antonio Mastrandrea, Mauro Olivieri |
| 2025 | IJCNN | Hybrid Quantum-Classical Framework for Anomaly Detection in Time Series with QUBO formulation and QAOA. | Marco Casalbore, Leonardo Lavagna, Antonello Rosato, Massimo Panella |
| 2025 | IJCNN | Graph Attention Networks for Gait-Based Autism Spectrum Disorder Detection and Interpretability. | Simone Colella, Federica Colonnese, Francesco Di Luzio, Antonello Rosato, Alessio Fioravanti, Massimo Panella |
| 2025 | IJCNN | Novel Quantum Approaches to Hyperdimensional Computing for Neural Networks. | Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella |
| 2025 | IJCNN | Classical to Quantum Knowledge Distillation: a Study on the Impact of Hybridization. | Simone Piperno, Giacomo Vittori, David Windridge, Antonello Rosato, Massimo Panella |
| 2025 | IJCNN | A Study on Quantum Reservoir Recurrent Models for Time-Constrained Volatile Sequence Forecasting. | Antonello Rosato, Andrea Ceschini, Federico Succetti, Samuel Yen-Chi Chen, Massimo Panella |
| 2025 | IJCNN | Patch-Based Graph Neural Network for Autism Classification via Eye Gaze Analysis. | Alessio Verdone, Federica Colonnese, Antonello Rosato, Massimo Panella |
| 2025 | ISCAS | Trade-offs in Cryptosystems by Boolean and Quantum Circuits. | Leonardo Lavagna, Francesca De Falco, Andrea Ceschini, Antonello Rosato, Massimo Panella |
| 2024 | CEC | A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications. | Federica Angeletti, Federico Succetti, Massimo Panella, Antonello Rosato |
| 2024 | IJCNN | AeneasHDC: An Automatic Framework for Deploying Hyperdimensional Computing Models on FPGAs. | Marco Angioli, Saeid Jamili, Marcello Barbirotta, Abdallah Cheikh, Antonio Mastrandrea, Francesco Menichelli, Antonello Rosato, Mauro Olivieri |
| 2024 | IJCNN | A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm. | Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella |
| 2024 | QCE | Q-SCALE: Quantum Computing-Based Sensor Calibration for Advanced Learning and Efficiency. | Lorenzo Bergadano, Andrea Ceschini, Pietro Chiavassa, Edoardo Giusto, Bartolomeo Montrucchio, Massimo Panella, Antonello Rosato |
| 2023 | IWANN | Fast Convolutional Analysis of Task-Based fMRI Data for ADHD Detection. | Federica Colonnese, Francecso Di Luzio, Antonello Rosato, Massimo Panella |
| 2023 | IWANN | A Deep Neural Network for G-Quadruplexes Binding Proteins Classification. | Francesco Di Luzio, Alessandro Paiardini, Federica Colonnese, Antonello Rosato, Massimo Panella |
| 2022 | IJCNN | Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction. | Andrea Ceschini, Antonello Rosato, Massimo Panella |
| 2022 | IJCNN | Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing. | Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko |
| 2021 | IJCNN | A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks. | Francesco Di Luzio, Antonello Rosato, Federico Succetti, Massimo Panella |
| 2021 | IJCNN | Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. | Antonello Rosato, Massimo Panella, Denis Kleyko |
| 2021 | IWANN | On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. | Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko |
| 2021 | IWANN | Time Series Prediction with Autoencoding LSTM Networks. | Federico Succetti, Andrea Ceschini, Francesco Di Luzio, Antonello Rosato, Massimo Panella |
| 2020 | CEC | Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding. | Antonello Rosato, Rodolfo Araneo, Massimo Panella |
| 2020 | IJCNN | ADMM Consensus for Deep LSTM Networks. | Antonello Rosato, Federico Succetti, Marcello Barbirotta, Massimo Panella |
| 2019 | ICASSP | A Training Procedure for Quantum Random Vector Functional-link Networks. | Massimo Panella, Antonello Rosato |
| 2018 | IJCNN | Water Quality Prediction Based on Wavelet Neural Networks and Remote Sensing. | Hieda Adriana Nascimento Silva, Antonello Rosato, Rosa Altilio, Massimo Panella |
| 2018 | ISCAS | On-line Learning of RVFL Neural Networks on Finite Precision Hardware. | Antonello Rosato, Rosa Altilio, Massimo Panella |