4 citations · 9 across the 5 of their papers we have counts for
5 papers
K-IPO: Kendall-constrained Importance Preserving Oversampling for Imbalanced Tabular Data
Marios Tyrovolas, Argiris Sofotasios, Dimitris Metaxakis +4
Oversampling is widely used to address class imbalance in tabular classification, but existing methods can distort the feature importance ranking underlying model explanations. Alt…
A Two-Stage LLM Framework for Accessible and Verified XAI Explanations
Georgios Mermigkis, Dimitris Metaxakis, Marios Tyrovolas +4
Large Language Models (LLMs) are increasingly used to translate the technical outputs of eXplainable Artificial Intelligence (XAI) methods into accessible natural-language explanat…
Advancing Explainable AI with Causal Analysis in Large-Scale Fuzzy Cognitive Maps
Marios Tyrovolas, Nikolaos D. Kallimanis, Chrysostomos Stylios
In the quest for accurate and interpretable AI models, eXplainable AI (XAI) has become crucial. Fuzzy Cognitive Maps (FCMs) stand out as an advanced XAI method because of their abi…
Towards a Taxonomy of Industrial Challenges and Enabling Technologies in Industry 4.0
Roberto Figliè, Riccardo Amadio, Marios Tyrovolas +7
Today, one of the biggest challenges for digital transformation in the Industry 4.0 paradigm is the lack of mutual understanding between the academic and the industrial world. On t…
Inter-communication between Programmable Logic Controllers using IoT technologies: A Modbus RTU/MQTT Approach
Marios Tyrovolas, Tibor Hajnal
Internet of Things (IoT) can be widely used in various applications such as manufacturing industry,achieving high operational efficiency and increased productivity.The exploitation…