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Titlebook: Advances in Knowledge Discovery and Data Mining; 26th Pacific-Asia Co João Gama,Tianrui Li,Fei Teng Conference proceedings 2022 The Editor(

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https://doi.org/10.1007/1-4020-3593-4ch maps the representations of entities in each community into one latent space and outputs a local recommendation list. A decision fusion module reranks the items of local lists to obtain the final recommendation list. Experiment results on three real-world datasets demonstrate that our MultiGCN outperforms the state-of-the-art algorithms.
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Vitali Sintchenko,Enrico Coierag Transformer and the Attention model to incorporate weather forecast data into their decoders. We attain an average mean absolute percentage error of 12% for dissolved oxygen forecasts and we demonstrate two anomaly detection case studies. The system is successfully running in its second year of deployment on a commercial prawn farm.
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https://doi.org/10.1007/978-4-431-66859-6chnique where we introduce a novel loss function to combine label information with domain-specific constraints and (ii) weakly supervised clustering based technique. We evaluate these techniques along with two competent baselines on a dataset of Information Technology (IT) resumes focusing on 5 major skills – ., ., ., ., and ..
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Pathomechanics of Diabetic Foot Syndrome, and onset-level F1 scores over the best performing baseline respectively. We also release an annotated dataset of monophonic Beatbox sequences along with their corresponding MIDI labels, the first of its kind comprising Beatbox samples with different variations such as time-stretches, pitch shifts, and added noise.
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