Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments

Detailed info Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments AuthorsChristos Tzagkarakis, Pavlos Charalampidis, Stylianos Roubakis, Alexandros Fragkiadakis and Sotiris IoannidisTitleEvaluating Short-Term Forecasting of Multiple Time Series in…

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The Best of Many Worlds: Scheduling Machine Learning Inference on CPU-GPU Integrated Architectures

Detailed info The Best of Many Worlds: Scheduling Machine Learning Inference on CPU-GPU Integrated Architectures AuthorsRafail Tsirbas, Giorgos Vasiliadis, Sotiris IoannidisTitleThe Best of Many Worlds: Scheduling Machine Learning Inference on…

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Scalable neural architectures for end-to-end environmental sound classification

Detailed info Scalable neural architectures for end-to-end environmental sound classification AuthorsFrancesco Paissan, Alberto Ancilotto, Alessio Brutti, Elisabetta FarellaTitleScalable neural architectures for end-to-end environmental sound classificationAbstractSound Event Detection is a complex…

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Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting Approach

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Automated audio captioning (AAC) is the task of automatically creating textual descriptions (i.e. captions) for the contents of a general audio signal. Most AAC methods are using existing datasets to optimize and/or evaluate upon.

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