Loukas Ilias

Orcid: 0000-0002-4483-4264

According to our database1, Loukas Ilias authored at least 16 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Calibration of Transformer-Based Models for Identifying Stress and Depression in Social Media.
IEEE Trans. Comput. Soc. Syst., April, 2024

2023
Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech.
Knowl. Based Syst., October, 2023

Multitask learning for recognizing stress and depression in social media.
Online Soc. Networks Media, September, 2023

Detecting dementia from speech and transcripts using transformers.
Comput. Speech Lang., April, 2023

Multimodal detection of epilepsy with deep neural networks.
Expert Syst. Appl., 2023

Multimodal Detection of Social Spambots in Twitter using Transformers.
CoRR, 2023

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

Missing Value Imputation Methods for Electronic Health Records.
IEEE Access, 2023

A Multitask Learning Framework for Predicting Ship Fuel Oil Consumption.
IEEE Access, 2023

Comparison of Machine Learning Algorithms For Predicting CO2Emissions in the maritime domain.
Proceedings of the 14th International Conference on Information, 2023

Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Explainable Identification of Dementia From Transcripts Using Transformer Networks.
IEEE J. Biomed. Health Informatics, 2022

Explainable Verbal Deception Detection using Transformers.
CoRR, 2022

Comparison of Missing Data Imputation Methods using the Framingham Heart study dataset.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

A Multimodal Approach for Dementia Detection from Spontaneous Speech with Tensor Fusion Layer.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
Detecting malicious activity in Twitter using deep learning techniques.
Appl. Soft Comput., 2021


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