Titlebook: ECML PKDD 2018 Workshops; DMLE 2018 and IoTStr Anna Monreale,Carlos Alzate,Rita P. Ribeiro Conference proceedings 2019 Springer Nature Swit

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Generalizing Knowledge in Decentralized Rule-Based Modelsd of models, given their interpretability, offer several possibilities to be combined. Despite each distinct context, common patterns have emerged revealing the systemic nature of the problem. In this paper, we look at the problem of generalizing the knowledge contained in a set of models as a proce

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Introducing Noise in Decentralized Training of Neural Networksodel. Noise injection in the distributed setup is a straightforward technique and it represents a promising approach to improve the locally trained models. We investigate the effects of noise injection into the neural networks during a decentralized training process. We show both theoretically and e

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Query Log Analysis: Detecting Anomalies in DNS Traffic at a TLD Resolver integrates three components that implement the complete anomaly detection process, ranging from the ingression of raw traffic data to the visualisation of detected anomalies. With an initial analysis of query logs from the Belgian ccTLD registry, we showed that QLAD can archive data compactly, has

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Multimodal Tweet Sentiment Classification Algorithm Based on Attention Mechanismhis paper, we focus on the sentiment classification of tweets that contains both text and image, a multimodal sentiment classification method for tweets is proposed. In this method Bidirectional-LSTM model is used to extract text modality features and VGG-16 model is used to extract image modality f

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