| A novel GAN-based anomaly detection and localization method for aerial video surveillance at low altitude D Avola, I Cannistraci, M Cascio, L Cinque, A Diko, A Fagioli, GL Foresti, ... Remote Sensing 14 (16), 4110, 2022 | 14 | 2022 |
| AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes M Maranghi, A Anagnostopoulos, I Cannistraci, I Chatzigiannakis, ... arXiv preprint arXiv:2206.06182, 2022 | 2 | 2022 |
| Infusing invariances in neural representations I Cannistraci, M Fumero, L Moschella, V Maiorca, E Rodolà 2nd Annual TAG in Machine Learning @ ICML 2023, 2023 | 1 | 2023 |
| Bootstrapping Parallel Anchors for Relative Representations I Cannistraci, L Moschella, V Maiorca, M Fumero, A Norelli, E Rodolà 1st Tiny Papers @ ICLR 2023, Kigali, Rwanda, 2023 | 1 | 2023 |
| Lob-based deep learning models for stock price trend prediction: a benchmark study M Prata, G Masi, L Berti, V Arrigoni, A Coletta, I Cannistraci, S Vyetrenko, ... Artificial Intelligence Review 57 (5), 1-45, 2024 | | 2024 |
| MV-MS-FETE: Multi-view multi-scale feature extractor and transformer encoder for stenosis recognition in echocardiograms D Avola, I Cannistraci, M Cascio, L Cinque, A Fagioli, GL Foresti, ... Computer Methods and Programs in Biomedicine 245, 108037, 2024 | | 2024 |
| From Charts to Atlas: Merging Latent Spaces into One D Crisostomi, I Cannistraci, L Moschella, P Barbiero, M Ciccone, P Liò, ... arXiv preprint arXiv:2311.06547, 2023 | | 2023 |
| From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication I Cannistraci, L Moschella, M Fumero, V Maiorca, E Rodolà arXiv preprint arXiv:2310.01211, 2023 | | 2023 |
| Real-Time GAN-Based Model for Underwater Image Enhancement D Avola, I Cannistraci, M Cascio, L Cinque, A Diko, D Distante, GL Foresti, ... International Conference on Image Analysis and Processing, 412-423, 2023 | | 2023 |
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeDirección de correo verificada de di.uniroma1.it
