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Dimitrios P. Panagoulias
2020 – today
- 2024
- [j2]Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
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. 248: 123375 (2024) - [c18]Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
Large Language Models as a Service: Optimisation Strategies via Knowledge Space Reduction. COINS 2024: 1-4 - [c17]Dimitrios P. Panagoulias, Persephone Papatheodosiou, Anastasios Bonakis, Dimitrios Dikeos, Maria Virvou, George A. Tsihrintzis:
Mathematical Representation of Memory and Schema for Improving Human-Generative AI Interactions. IISA 2024: 1-5 - [c16]Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, Konstantina Chrysafiadi, Evangelia-Aikaterini Tsichrintzi, Evangelos Sakkopoulos, George A. Tsihrintzis, Maria Virvou:
LYRICEL: A Rule-Augmented Artificial Intelligence-Empowered Cultural E-Learning with GPT and Machine Learning for Song Lyrics. IISA 2024: 1-5 - [c15]George A. Tsihrintzis, Elissaios Sarmas, Vangelis Marinakis, Dimitrios P. Panagoulias, Evangelia-Aikaterini Tsichrintzi, Maria Virvou:
Evaluating Non-Expert Stakeholder Interaction with Artificial Intelligence on Energy Urban Domain Using VIRTSI: The Case of ChatGPT. IISA 2024: 1-10 - [c14]Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
Knowledge Space reduction via Sequential Language Model Integration. KES 2024: 1181-1190 - [c13]Persephone Papatheodosiou, Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis, Anastasios Bonakis, Dimitrios Dikeos:
Leveraging Artificial Intelligence for personalised insomnia-sleep calibration via the Big Five Personality Traits. KES 2024: 2539-2548 - [i4]Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
Evaluating LLM - Generated Multimodal Diagnosis from Medical Images and Symptom Analysis. CoRR abs/2402.01730 (2024) - [i3]Dimitrios P. Panagoulias, Evridiki Tsoureli-Nikita, Maria Virvou, George A. Tsihrintzis:
Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology. CoRR abs/2403.14243 (2024) - [i2]Dimitrios P. Panagoulias, Persephone Papatheodosiou, Anastasios P. Palamidas, Mattheos Sanoudos, Evridiki Tsoureli-Nikita, Maria Virvou, George A. Tsihrintzis:
COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain. CoRR abs/2405.10893 (2024) - [i1]Dimitrios P. Panagoulias, Elissaios Sarmas, Vangelis Marinakis, Maria Virvou, George A. Tsihrintzis:
Integrating Dynamic Correlation Shifts and Weighted Benchmarking in Extreme Value Analysis. CoRR abs/2411.13608 (2024) - 2023
- [c12]Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria Virvou, George A. Tsihrintzis:
Evaluation of ChatGPT-supported diagnosis, staging and treatment planning for the case of lung cancer. AICCSA 2023: 1-8 - [c11]Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
An Empirical Study Concerning the Impact of Perceived Usefulness and Ease of Use on the Adoption of AI-Empowered Medical Applications. BIBE 2023: 338-345 - [c10]Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria K. Virvou, George A. Tsihrintzis:
Rule-Augmented Artificial Intelligence-empowered Systems for Medical Diagnosis using Large Language Models. ICTAI 2023: 70-77 - [c9]Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
Tailored Explainability in Medical Artificial Intelligence-empowered Applications: Personalisation via the Technology Acceptance Model. ICTAI 2023: 486-490 - [c8]Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria Virvou, George A. Tsihrintzis:
Evaluating the Potential of LLMs and ChatGPT on Medical Diagnosis and Treatment. IISA 2023: 1-9 - [c7]Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
Applying DOI Theory to Assess the Required Level of Explainability in Artificial Intelligence-empowered Medical Applications. IISA 2023: 1-7 - 2022
- [c6]Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
A microservices-based iterative development approach for usable, reliable and explainable A.I.-infused medical applications using R.U.P. ICTAI 2022: 1028-1035 - [c5]Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis:
Extreme value analysis for dietary intake based on weight class. IISA 2022: 1-7 - [c4]Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
Regulation and Validation Challenges in Artificial Intelligence-Empowered Healthcare Applications - The Case of Blood-Retrieved Biomarkers. JCKBSE 2022: 97-110 - [c3]Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
nuhealthsoft: A Nutritional and Health Data Processing Software Tool from a patient's perspective. SITIS 2022: 386-393 - 2021
- [j1]Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis:
Nutritional biomarkers and machine learning for personalized nutrition applications and health optimization. Intell. Decis. Technol. 15(4): 645-653 (2021) - [c2]Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis:
Biomarker-based deep learning for personalized nutrition. ICTAI 2021: 306-313 - [c1]Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis:
Nutritional biomarkers and machine learning for personalized nutrition applications and health optimization. IISA 2021: 1-6
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