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20162026
most citedDetecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning

340 citations · 1.8k across the 24 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 1 cited

Time Series Analysis of Urban Liveability

Alex Levering, Diego Marcos, Devis Tuia

In this paper we explore deep learning models to monitor longitudinal liveability changes in Dutch cities at the neighbourhood level. Our liveability reference data is defined by a…

cs.CV2023

Masking Strategies for Background Bias Removal in Computer Vision Models

Ananthu Aniraj, Cassio F. Dantas, Dino Ienco +1

Models for fine-grained image classification tasks, where the difference between some classes can be extremely subtle and the number of samples per class tends to be low, are parti…

cs.LG2023

Sparse Linear Concept Discovery Models

Konstantinos P. Panousis, Dino Ienco, Diego Marcos

The recent mass adoption of DNNs, even in safety-critical scenarios, has shifted the focus of the research community towards the creation of inherently intrepretable models. Concep…

q-bio.PE2023★ 3 cited

The GeoLifeCLEF 2023 Dataset to evaluate plant species distribution models at high spatial resolution across Europe

Christophe Botella, Benjamin Deneu, Diego Marcos +6

The difficulty to measure or predict species community composition at fine spatio-temporal resolution and over large spatial scales severely hampers our ability to understand speci…

cs.LG2023

Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy

Cassio F. Dantas, Diego Marcos, Dino Ienco

Counterfactual explanations are an emerging tool to enhance interpretability of deep learning models. Given a sample, these methods seek to find and display to the user similar sam…