Irene Cannistraci

Orcid: 0000-0003-1655-3059

According to our database1, Irene Cannistraci authored at least 10 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Improving neural networks efficiency via representation similarities.
PhD thesis, 2025

2024
Lob-based deep learning models for stock price trend prediction: a benchmark study.
Artif. Intell. Rev., May, 2024

Detecting and Approximating Redundant Computational Blocks in Neural Networks.
CoRR, 2024

MV-MS-FETE: Multi-view multi-scale feature extractor and transformer encoder for stenosis recognition in echocardiograms.
Comput. Methods Programs Biomed., 2024

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
From charts to atlas: Merging latent spaces into one.
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023

Bootstrapping Parallel Anchors for Relative Representations.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Real-Time GAN-Based Model for Underwater Image Enhancement.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

2022
A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude.
Remote. Sens., 2022

AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes.
CoRR, 2022


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