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20212026
most citedCalibration of Transformer-based Models for Identifying Stress and Depression in Social Media

97 citations · 373 across the 17 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 16 cited

Multimodal Detection of Bots on X (Twitter) using Transformers

Loukas Ilias, Ioannis Michail Kazelidis, Dimitris Askounis

Although not all bots are malicious, the vast majority of them are responsible for spreading misinformation and manipulating the public opinion about several issues, i.e., election…

cs.CL2023★ 20 cited

Multitask learning for recognizing stress and depression in social media

Loukas Ilias, Dimitris Askounis

Stress and depression are prevalent nowadays across people of all ages due to the quick paces of life. People use social media to express their feelings. Thus, social media constit…

cs.CL2023★ 97 cited

Calibration of Transformer-based Models for Identifying Stress and Depression in Social Media

Loukas Ilias, Spiros Mouzakitis, Dimitris Askounis

In today's fast-paced world, the rates of stress and depression present a surge. Social media provide assistance for the early detection of mental health conditions. Existing metho…

cs.CL2023★ 24 cited

Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech

Loukas Ilias, Dimitris Askounis

Alzheimer's disease (AD) constitutes a complex neurocognitive disease and is the main cause of dementia. Although many studies have been proposed targeting at diagnosing dementia t…

cs.LG2023★ 1 cited

Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia

Michail Chatzianastasis, Loukas Ilias, Dimitris Askounis +1

Alzheimer's dementia (AD) affects memory, thinking, and language, deteriorating person's life. An early diagnosis is very important as it enables the person to receive medical help…