Publications

(2023). Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images.

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(2022). A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques. In IEEE Consumer Communications and Networking Conference.

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(2022). Investigating Bidimensional Downsampling in Vision Transformer Models. In International Conference on Image Analysis and Processing (ICIAP).

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(2021). Assessing the Role of Boundary-Level Objectives in Indoor Semantic Segmentation. In International Conference on Computer Analysis of Images and Patterns (CAIP).

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(2021). Improving Indoor Semantic Segmentation with Boundary-Level Objectives. In International Work-Conference on Artificial Neural Networks (IWANN).

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(2020). Estimation of Traffic Matrices via Super-resolution and Federated Learning. In International Conference on Emerging Networking EXperiments and Technologies (CoNEXT).

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