Accès ouvert
2025
article
OpenAlex
Giorgos Papanastasiou, Pedro P. Sanchez, Argyrios Christodoulidis, Guang Yang et autres
Image-based profiling is rapidly transforming drug discovery, offering unprecedented insights into cellular responses. However, experimental variability hinders accurate identification of mechanisms of action (MoA) and compound targets. Existing methods commonly fail to generalize to novel compounds, limiting their utility in exploring uncharted …
us, gb
(code pays fourni par la source)
Accès ouvert
2025
conference-paper
OpenAlex
Raman Dutt, Ondrej Bohdal, Pedro P. Sanchez, Sotirios A. Tsaftaris et autres
Diffusion models excel in generating images that closely resemble their training data but are also susceptible to data memorization, raising privacy, ethical, and legal concerns, particularly in sensitive domains such as medical imaging. We hypothesize that this memorization stems from the overparameterization …
gb
(code pays fourni par la source)
Accès ouvert
2025
preprint
OpenAlex
Roberto Rendeiro Martı́n-Cejas, Máximo Méndez, Pedro P. Sanchez
es
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Fernando Pérez‐García, Sam Bond-Taylor, Pedro P. Sanchez, Boris van Breugel et autres
gb, us
(code pays fourni par la source)
Accès ouvert
2024
preprint
OpenAlex
Raman Dutt, Pedro P. Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris et autres
In this work, we present compelling evidence that controlling model capacity during fine-tuning can effectively mitigate memorization in diffusion models. Specifically, we demonstrate that adopting Parameter-Efficient Fine-Tuning (PEFT) within the pre-train fine-tune paradigm significantly reduces memorization compared to traditional full fine-tuning approaches. …
Accès ouvert
2024
preprint
OpenAlex
Raman Dutt, Ondrej Bohdal, Pedro P. Sanchez, Sotirios A. Tsaftaris et autres
Diffusion models excel in generating images that closely resemble their training data but are also susceptible to data memorization, raising privacy, ethical, and legal concerns, particularly in sensitive domains such as medical imaging. We hypothesize that this memorization stems from the overparameterization …
Accès ouvert
2023
preprint
OpenAlex
Fernando Pérez‐García, Sam Bond-Taylor, Pedro P. Sanchez, Boris van Breugel et autres
Biomedical imaging datasets are often small and biased, meaning that real-world performance of predictive models can be substantially lower than expected from internal testing. This work proposes using generative image editing to simulate dataset shifts and diagnose failure modes of biomedical vision …
Accès ouvert
2023
article
OpenAlex
John Hartley, Pedro P. Sanchez, Fasih Haider, Sotirios A. Tsaftaris
Deep neural networks (DNNs) have achieved high accuracy in diagnosing multiple diseases/conditions at a large scale. However, a number of concerns have been raised about safeguarding data privacy and algorithmic bias of the neural network models. We demonstrate that unique features (UFs), …
gb
(code pays fourni par la source)
Accès ouvert
2023
article
OpenAlex
Hugo F. López-Arévalo, Elizabeth Mesa, Olga L. Montenegro, Pedro P. Sanchez et autres
Abstract The sustainable use of chigüiro or capybara is a strategy proposal to prevent the decline of the species population by maintaining and conserving appropriate habitats, reducing illegal capture, promoting its recognition, and achieving a better distribution of its benefits and its …
co, es
(code pays fourni par la source)
Accès ouvert
2021
article
OpenAlex
Roberto Rendeiro Martı́n-Cejas, Rafael Suárez‐Vega, Pedro P. Sanchez
Current public transport supply on the Island of Lanzarote is clearly insufficient, and opportunities to substitute private automobiles are extremely limited, for residents and tourists alike. Therefore, this paper analyzes the possibility of introducing a tourist bus service to connect Lanzarote’s main …
es, be
(code pays fourni par la source)
2020
article
OpenAlex
Pedro P. Sanchez, Alassane Ballé Ndiaye, Roberto Rendeiro Martı́n-Cejas
Accès ouvert
2019
article
OpenAlex
Pedro P. Sanchez, Alassane Ballè Ndiaye, Roberto Rendeiro Martı́n-Cejas
The automotive industry is one of the largest polluters, affecting air quality in urban areas. For thisreason, the effect of the public policies on the sector is very important in economic and social terms.In this sense, one of the policies has been …