Zobrazeno 1 - 4
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pro vyhledávání: '"Valentim, Inês"'
Adversarial examples, designed to trick Artificial Neural Networks (ANNs) into producing wrong outputs, highlight vulnerabilities in these models. Exploring these weaknesses is crucial for developing defenses, and so, we propose a method to assess th
Externí odkaz:
http://arxiv.org/abs/2406.14073
NeuroEvolution automates the generation of Artificial Neural Networks through the application of techniques from Evolutionary Computation. The main goal of these approaches is to build models that maximize predictive performance, sometimes with an ad
Externí odkaz:
http://arxiv.org/abs/2207.05451
Machine learning models are widely adopted in scenarios that directly affect people. The development of software systems based on these models raises societal and legal concerns, as their decisions may lead to the unfair treatment of individuals base
Externí odkaz:
http://arxiv.org/abs/1910.02321
Autor:
Valentim, Inês Filipa Rente
Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia Atualmente, os sistemas de software baseados em modelos de Aprendizagem Computacional são ubíquos, sendo muitas vezes usados em cenários que af
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1271::c2ba3721fb9eea5ef4c7c5d2968c24c2
https://hdl.handle.net/10316/87310
https://hdl.handle.net/10316/87310