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Nikola Ivkovic, Robert Kudelic and Marin Golub
Ant colony optimization (ACO) is a well-known class of swarm intelligence algorithms suitable for solving many NP-hard problems. An important component of such algorithms is a record of pheromone trails that reflect colonies? experiences with previously ...
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Fen Liu and Quan Qian
Classification is among the core tasks in machine learning. Existing classification algorithms are typically based on the assumption of at least roughly balanced data classes. When performing tasks involving imbalanced data, such classifiers ignore the m...
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Jiaping Wu, Zhaoqiang Xia and Xiaoyi Feng
In recent years, adversarial examples have aroused widespread research interest and raised concerns about the safety of CNNs. We study adversarial machine learning inspired by a support vector machine (SVM), where the decision boundary with maximum margi...
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Donatella Chillé, Viviana Mollica-Nardo, Ottavia Giuffrè, Rosina Celeste Ponterio, Franz Saija, Jirí Sponer, Sebastiano Trusso, Giuseppe Cassone and Claudia Foti
Arsenic is a well-known contaminant present in different environmental compartments and in human organs and tissues. Inorganic As(III) represents one of the most dangerous arsenic forms. Its toxicity is attributed to its great affinity with the thiol gro...
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Omama Hamad, Ali Hamdi, Sayed Hamdi and Khaled Shaban
In this paper, we present StEduCov, an annotated dataset for the analysis of stances toward online education during the COVID-19 pandemic. StEduCov consists of 16,572 tweets gathered over 15 months, from March 2020 to May 2021, using the Twitter API. The...
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