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Dimitris Askounis

Data-driven building energy efficiency prediction based on envelope heat losses using physics-informed neural networks

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Nov 14, 2023
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Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series

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Oct 24, 2023
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Multimodal Detection of Social Spambots in Twitter using Transformers

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Aug 28, 2023
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DeepTSF: Codeless machine learning operations for time series forecasting

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Jul 28, 2023
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Multitask learning for recognizing stress and depression in social media

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May 30, 2023
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Calibration of Transformer-based Models for Identifying Stress and Depression in Social Media

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May 26, 2023
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Context-Aware Attention Layers coupled with Optimal Transport Domain Adaptation methods for recognizing dementia from spontaneous speech

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May 25, 2023
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Towards a real-time demand response framework for smart communities using clustering techniques

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Mar 01, 2023
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A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers

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Feb 23, 2023
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Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia

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Feb 12, 2023
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