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Pasquale De Marinis

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.AI1

identity via Semantic Scholar / OpenAlex

most citedExplainable Fuzzy GNNs for Leak Detection in Water Distribution Networks

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2026★ 1 cited

Explainable Fuzzy GNNs for Leak Detection in Water Distribution Networks

Qusai Khaled, Pasquale De Marinis, Moez Louati +3

Timely leak detection in water distribution networks is critical for conserving resources and maintaining operational efficiency. Although Graph Neural Networks (GNNs) excel at cap…

cs.CV2025

DistillFSS: Synthesizing Few-Shot Knowledge into a Lightweight Segmentation Model

Pasquale De Marinis, Pieter M. Blok, Uzay Kaymak +3

Cross-Domain Few-Shot Semantic Segmentation (CD-FSS) seeks to segment unknown classes in unseen domains using only a few annotated examples. This setting is inherently challenging:…

cs.CV2025

Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design

Pasquale De Marinis, Uzay Kaymak, Rogier Brussee +2

Few-Shot Semantic Segmentation (FSS) models achieve strong performance in segmenting novel classes with minimal labeled examples, yet their decision-making processes remain largely…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.