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Marco Brambilla

Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification

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Nov 08, 2024
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Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data

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Aug 03, 2024
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Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification

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May 06, 2024
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A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities

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Oct 19, 2022
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Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings

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Oct 05, 2021
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EFSG: Evolutionary Fooling Sentences Generator

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Oct 12, 2020
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Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread

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Oct 10, 2020
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Improving Image Classification Robustness through Selective CNN-Filters Fine-Tuning

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Apr 08, 2019
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T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling

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Nov 20, 2018
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