Titlebook: Discovery Science; 26th International C Albert Bifet,Ana Carolina Lorena,Pedro H. Abreu Conference proceedings 2023 The Editor(s) (if appli

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: A Graph Convolutional Network-Based Approach for Review Spam Detectiont is commonly made by malicious users or automated programs (i.e., bots) that mimic human behaviour. With the recent boom of online review systems, performing accurate review spam detection has become of primary importance for a review platform, to mitigate the effect of malicious users responsible

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Unsupervised Key-Phrase Extraction from Long Texts with Multilingual Sentence Transformersing tasks, current methods often rely on pre-trained neural language models. Using these models, the state-of-the-art supervised systems for key-phrase extraction require large amounts of labelled data and generalize poorly outside the training domain, while unsupervised approaches generally present

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Probabilistic Scoring Lists for Interpretable Machine Learningatisfied, and finally makes a decision by comparing the total score to a threshold. Scoring systems have a long history of active use in safety-critical domains such as healthcare and justice, where they provide guidance for making objective and accurate decisions. Given their genuine interpretabili