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Irene Cannistraci
Irene Cannistraci
Verified email at di.uniroma1.it - Homepage
Title
Cited by
Cited by
Year
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
132022
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
22022
Infusing invariances in neural representations
I Cannistraci, M Fumero, L Moschella, V Maiorca, E Rodolà
2nd Annual TAG in Machine Learning @ ICML 2023, 2023
12023
Bootstrapping Parallel Anchors for Relative Representations
I Cannistraci, L Moschella, V Maiorca, M Fumero, A Norelli, E Rodolà
arXiv preprint arXiv:2303.00721, 2023
12023
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
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