Publications

Detecting and Approximating Redundant Computational Blocks in Neural Networks
Under Revision
Irene Cannistraci, Emanuele Rodolà, Bastian Rieck
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Detecting and Approximating Redundant Computational Blocks in Neural Networks
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
Spotlight (top 5%) @ ICLR 2024
Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà
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From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
MV-MS-FETE: Multi-View Multi-Scale Feature Extractor and Transformer Encoder for Stenosis Recognition in Echocardiograms
Computer Methods and Programs in Biomedicine
Danilo Avola, Irene Cannistraci, Marco Cascio, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Emanuele Rodolà, Luciana solito
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MV-MS-FETE: Multi-View Multi-Scale Feature Extractor and Transformer Encoder for Stenosis Recognition in Echocardiograms
From Charts to Atlas: Merging Latent Spaces into One
NeurReps @ NeurIPS 2023
Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà
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From Charts to Atlas: Merging Latent Spaces into One
Real-Time GAN-Based Model for Underwater Image Enhancement
ICIAP 2023
Danilo Avola, Irene Cannistraci, Marco Cascio, Luigi Cinque, Anxhelo Diko, Damiano Distante, Gian Luca Foresti, Alessio Mecca, Ivan Scagnetto
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Real-Time GAN-Based Model for Underwater Image Enhancement
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study
Preprint
Matteo Prata, Giuseppe Masi, Leonardo Berti, Viviana Arrigoni, Andrea Coletta, Irene Cannistraci, Svitlana Vyetrenko, Paola Velardi, Novella Bartolini
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LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study
Infusing invariances in neural representations
TAG-ML @ ICML 2023 (Extended Abstract)
Irene Cannistraci, Marco Fumero, Luca Moschella, Valentino Maiorca, Emanuele Rodolà
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Infusing invariances in neural representations
Bootstrapping Parallel Anchors for Relative Representations
Tiny Paper @ ICLR 2023
Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà
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Bootstrapping Parallel Anchors for Relative Representations
AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes
Preprint
Marianna Maranghi, Aris Anagnostopoulos, Irene Cannistraci, Ioannis Chatzigiannakis, Federico Croce, Giulia Di Teodoro, Michele Gentile, Giorgio Grani, Maurizio Lenzerini, Stefano Leonardi, Andrea Mastropietro, Laura Palagi, Massimiliano Pappa, Riccardo Rosati, Riccardo Valentini, Paola Velardi
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AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes
A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude
Remote Sensing
Danilo Avola, Irene Cannistraci, Marco Cascio, Luigi Cinque, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Romeo Lanzino, Maurizio Mancini, Alessio Mecca, Daniele Pannone
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A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude