Dimitrios P. Panagoulias

Orcid: 0000-0002-9421-141X

According to our database1, Dimitrios P. Panagoulias authored at least 36 papers between 2021 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

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Bibliography

2026
Modeling Expert AI Diagnostic Alignment via Immutable Inference Snapshots.
CoRR, February, 2026

2025
A framework for evaluation and requirement extraction for fine-tuning of Large Language Models in multimodal medical diagnosis.
Knowl. Based Syst., 2025

Dermacen analytica: A novel methodology integrating multi-modal large language models with machine learning in dermatology.
Int. J. Medical Informatics, 2025

Energy Urban Domain: Personalized Evaluation of Expert and Non-Expert Stakeholder Interaction With Artificial Intelligence Through ChatGPT Using the VIRTSI Model.
IEEE Access, 2025

LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics - The Case of Greek Songs.
IEEE Access, 2025

Which AI and How Trusted by Human Energy Stakeholders? Comparing Generative AI ChatGPT With Domain Specific AI-ENERGIA-SYS.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Truth in Trees: A Multilayered Linguistic Framework for Automated Fact-Checking with AI-Driven Reasoning.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

An OSCE-Inspired Framework for Fine-Tuning Multimodal LLMs in Medical Diagnosis.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

Trustworthy Integration of Generative AI and LLMs in the Energy Digital Spine: Epistemic Risk Models and Trust Performance Indicators.
Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

A Simulation Framework for Battery Optimization Under Extreme Energy Imbalance Using Machine Learning Forecasting.
Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

MemoryBERT: A Systematic Framework for Memory Identification.
Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

Artificial Intelligence-Empowered Bio-medical Applications - Challenges, Solutions and Development Guidelines
49, Springer, ISBN: 978-3-031-90173-7, 2025

2024
A novel framework for artificial intelligence explainability via the Technology Acceptance Model and Rapid Estimate of Adult Literacy in Medicine using machine learning.
Expert Syst. Appl., 2024

Integrating Dynamic Correlation Shifts and Weighted Benchmarking in Extreme Value Analysis.
CoRR, 2024

COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain.
CoRR, 2024

Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology.
CoRR, 2024

Evaluating LLM - Generated Multimodal Diagnosis from Medical Images and Symptom Analysis.
CoRR, 2024

Leveraging Artificial Intelligence for personalised insomnia-sleep calibration via the Big Five Personality Traits.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

Knowledge Space reduction via Sequential Language Model Integration.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

Evaluating Non-Expert Stakeholder Interaction with Artificial Intelligence on Energy Urban Domain Using VIRTSI: The Case of ChatGPT.
Proceedings of the 15th International Conference on Information, 2024

LYRICEL: A Rule-Augmented Artificial Intelligence-Empowered Cultural E-Learning with GPT and Machine Learning for Song Lyrics.
Proceedings of the 15th International Conference on Information, 2024

Mathematical Representation of Memory and Schema for Improving Human-Generative AI Interactions.
Proceedings of the 15th International Conference on Information, 2024

Memory and Schema in Human-Generative Artificial Intelligence Interactions.
Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

Large Language Models as a Service: Optimisation Strategies via Knowledge Space Reduction.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024

2023
Applying DOI Theory to Assess the Required Level of Explainability in Artificial Intelligence-empowered Medical Applications.
Proceedings of the 14th International Conference on Information, 2023

Evaluating the Potential of LLMs and ChatGPT on Medical Diagnosis and Treatment.
Proceedings of the 14th International Conference on Information, 2023

Tailored Explainability in Medical Artificial Intelligence-empowered Applications: Personalisation via the Technology Acceptance Model.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Rule-Augmented Artificial Intelligence-empowered Systems for Medical Diagnosis using Large Language Models.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

An Empirical Study Concerning the Impact of Perceived Usefulness and Ease of Use on the Adoption of AI-Empowered Medical Applications.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

Evaluation of ChatGPT-supported diagnosis, staging and treatment planning for the case of lung cancer.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022
nuhealthsoft: A Nutritional and Health Data Processing Software Tool from a patient's perspective.
Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

Regulation and Validation Challenges in Artificial Intelligence-Empowered Healthcare Applications - The Case of Blood-Retrieved Biomarkers.
Proceedings of the Knowledge-Based Software Engineering: 2022, 2022

Extreme value analysis for dietary intake based on weight class.
Proceedings of the 13th International Conference on Information, 2022

A microservices-based iterative development approach for usable, reliable and explainable A.I.-infused medical applications using R.U.P.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021
Nutritional biomarkers and machine learning for personalized nutrition applications and health optimization.
Proceedings of the 12th International Conference on Information, 2021

Biomarker-based deep learning for personalized nutrition.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021


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