| A Machine Learning-oriented Survey on Tiny Machine Learning L Capogrosso, F Cunico, DS Cheng, F Fummi, M Cristani IEEE Access, 2024 | 22 | 2024 |
| I-split: Deep network interpretability for split computing F Cunico, L Capogrosso, F Setti, D Carra, F Fummi, M Cristani 2022 26th International Conference on Pattern Recognition (ICPR), 2575-2581, 2022 | 11 | 2022 |
| Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection L Capogrosso, F Girella, F Taioli, MD Chiara, M Aqeel, F Fummi, F Setti, ... arXiv preprint arXiv:2406.00501, 2024 | 5 | 2024 |
| Dohmo: Embedded computer vision in co-housing scenarios G Skenderi, A Bozzini, L Capogrosso, EC Agrillo, G Perbellini, F Fummi, ... 2021 Forum on specification & Design Languages (FDL), 01-08, 2021 | 5 | 2021 |
| Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper L Capogrosso, A Mascolini, F Girella, G Skenderi, S Gaiardelli, N Dall'Ora, ... 2023 Forum on Specification & Design Languages (FDL), 1-4, 2023 | 4 | 2023 |
| Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification. L Morra, A Azzari, L Bergamasco, M Braga, L Capogrosso, F Delrio, ... NeSy, 223-232, 2023 | 4 | 2023 |
| Split-et-impera: a framework for the design of distributed deep learning applications L Capogrosso, F Cunico, M Lora, M Cristani, F Fummi, D Quaglia 2023 26th International Symposium on Design and Diagnostics of Electronic …, 2023 | 4 | 2023 |
| Toward smart doors: A position paper L Capogrosso, G Skenderi, F Girella, F Fummi, M Cristani International Conference on Pattern Recognition, 660-673, 2022 | 4 | 2022 |
| HermesBDD: A multi-core and multi-platform binary decision diagram package L Capogrosso, L Geretti, M Cristani, F Fummi, T Villa 2023 26th International Symposium on Design and Diagnostics of Electronic …, 2023 | 3 | 2023 |
| Towards Deep Learning-based Occupancy Detection Via WiFi Sensing in Unconstrained Environments C Turetta, G Skenderi, L Capogrosso, F Demrozi, PH Kindt, A Masrur, ... 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 2 | 2023 |
| Mtl-split: Multi-task learning for edge devices using split computing L Capogrosso, E Fraccaroli, S Chakraborty, F Fummi, M Cristani arXiv preprint arXiv:2407.05982, 2024 | 1 | 2024 |
| Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection F Girella, Z Liu, F Fummi, F Setti, M Cristani, L Capogrosso arXiv preprint arXiv:2407.03961, 2024 | 1 | 2024 |
| Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning G Skenderi, L Capogrosso, A Toaiari, M Denitto, F Fummi, S Melzi, ... arXiv preprint arXiv:2310.09278, 2023 | 1 | 2023 |
| The Post-pandemic Effects on IoT for Safety: The Safe Place Project F Cunico, L Capogrosso, A Castellini, F Setti, P Pluchino, F Zordan, ... 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-4, 2023 | 1 | 2023 |
| Enhancing Split Computing and Early Exit Applications through Predefined Sparsity L Capogrosso, E Fraccaroli, G Petrozziello, F Setti, S Chakraborty, ... 2024 Forum on Specification & Design Languages (FDL), 1-8, 2024 | | 2024 |
| SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation L Capogrosso, A Toaiari, A Avogaro, U Khan, A Jivoji, F Fummi, ... arXiv preprint arXiv:2409.00774, 2024 | | 2024 |
| Exploiting Multimodal Latent Diffusion Models for Accurate Anomaly Detection in Industry 5.0 L Capogrosso, A Vivenza, A Chiarini, F Setti, M Cristani | | 2024 |
Marco CristaniUniversità degli Studi di Verona & Istituto Italiano di Tecnologia & CNR TrentoEmail verificata su univr.it
