AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes. - Marianna Maranghi; Aris Anagnostopoulos; Irene Cannistraci; Ioannis Chatzigiannakis; Federico Croce; Giulia Di Teodoro; Michele Gentili; Giorgio Grani; Maurizio Lenzerini; Stefano Leonardi 001; Andrea Mastropietro; Laura Palagi; et al. (CoRR, 2022)

A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude. - Danilo Avola; Irene Cannistraci; Marco Cascio; Luigi Cinque; Anxhelo Diko; Alessio Fagioli 001; Gian Luca Foresti; Romeo Lanzino; Maurizio Mancini; Alessio Mecca; Daniele Pannone (Remote. Sens., 2022)

Real-Time GAN-Based Model for Underwater Image Enhancement. - Danilo Avola; Irene Cannistraci; Marco Cascio; Luigi Cinque; Anxhelo Diko; Damiano Distante; Gian Luca Foresti; Alessio Mecca; Ivan Scagnetto (ICIAP (1), 2023)

Bootstrapping Parallel Anchors for Relative Representations. - Irene Cannistraci; Luca Moschella; Valentino Maiorca; Marco Fumero; Antonio Norelli; Emanuele Rodolà (Tiny Papers @ ICLR, 2023)

From charts to atlas: Merging latent spaces into one. - Donato Crisostomi; Irene Cannistraci; Luca Moschella; Pietro Barbiero; Marco Ciccone; Pietro Liò; Emanuele Rodolà (NeurReps, 2023)

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication. - Irene Cannistraci; Luca Moschella; Marco Fumero; Valentino Maiorca; Emanuele Rodolà (ICLR, 2024)

MV-MS-FETE: Multi-view multi-scale feature extractor and transformer encoder for stenosis recognition in echocardiograms. - Danilo Avola; Irene Cannistraci; Marco Cascio; Luigi Cinque; Alessio Fagioli 001; Gian Luca Foresti; Emanuele Rodolà; Luciana Solito (Comput. Methods Programs Biomed., 2024)

Detecting and Approximating Redundant Computational Blocks in Neural Networks. - Irene Cannistraci; Emanuele Rodolà; Bastian Rieck (CoRR, 2024)

Lob-based deep learning models for stock price trend prediction: a benchmark study. - Matteo Prata; Giuseppe Masi; Leonardo Berti; Viviana Arrigoni; Andrea Coletta; Irene Cannistraci; Svitlana Vyetrenko; Paola Velardi; Novella Bartolini (Artif. Intell. Rev., 2024)

Improving neural networks efficiency via representation similarities. - Irene Cannistraci (2025)