Publications of Interest
Whitepaper on “A Federated Secured, Trusted and Interoperable Marketplace and Data Space”.
Troiano, E. (2024). FAME: A Federated Secured, Trusted and Interoperable Marketplace and Data Space. Zenodo. https://doi.org/10.5281/zenodo.14216810
Measuring and Modeling CO2 Emissions in Machine Learning Processes
Hrib, I., Topal, O., Šturm, J., Škrjanc, M. (2024). Measuring and Modeling CO2 Emissions in Machine Learning Processes. In Conference Information Society 2024, 7–11 October, Ljubljana, Slovenia. DOI: https://doi.org/10.70314/is.2024.sikdd.23
UI/UX Sustainable Design: Best Practices for Applications CO2 Emissions Reduction
Kiourtis, A., Mavrogiorgou, A., Zafeiropoulos, N., Mavrogiorgos, K., Karabetian, A., & Kyriazis, D. (2024). UI/UX sustainable design: Best practices for applications CO2 emissions reduction. In 2024 9th International Conference on Smart and Sustainable Technologies (SpliTech) (pp. 1–6). IEEE. https://doi.org/10.23919/SpliTech61897.2024.10612495
The WHY in Business Processes: Discovery of Causal Execution Dependencies
Fournier, F., Limonad, L., Skarbovsky, I., and David, Y. (in press). The WHY in Business Processes: Discovery of Causal Execution Dependencies. KI – Künstliche Intelligenz. Pre-print DOI: 10.48550/arXiv.2310.14975
Why are my Pizzas late?
Fahland, D., Fournier, F., Limonad, L., Skarbovsky, I., and Swevels, A. (2023, August 19). Why are my Pizzas late? In Proceedings of PMAI@IJCAI 2023 Workshop, Macao, S.A.R. CEUR-WS.org/Vol-3569, urn:ubn:de:0074-3569-9.
eXplainable Random Forest
Amit, G., & Gur, S. (2024, October 19). eXplainable Random Forest. In Proceedings of HAII5.0 2024 Workshop, Santiago de Compostela, Spain. CEUR-WS.org/Vol-3765, urn:ubn:de:0074-3765-7.
Towards a Benchmark for Causal Business Process Reasoning with LLMs
Fournier, F., Limonad, L., & Skarbovsky, I. (2024). Towards a Benchmark for Causal Business Process Reasoning with LLMs. In NLP4BPM workshop at BPM 2024. DOI: 10.48550/arXiv.2406.05506
Monetizing Currency Pair Sentiments through LLM Explainability
Limonad, L., Fournier, F., Díaz, J. M. V., Skarbovsky, I., Gur, S., & Lazcano, R. (2024). Monetizing Currency Pair Sentiments through LLM Explainability. In AIFin@ECAI 2024. DOI:10.48550/arXiv.2407.19922
A Practical Guide to Green Computing for Manufacturers, Businesses, and Individuals
A. Kiourtis, A. Mavrogiorgou, C. Symvoulidis and D. Kyriazis. (2023). A Practical Guide to Green Computing for Manufacturers, Organizations, and Individuals. In 2023 34th Conference of the Open Innovations Association FRUCT (FRUCT) (pp. 245-251). ISSN: 2305-7254
Transforming sentiment analysis in the financial domain with ChatGPT
Fatouros, G., Soldatos, J., Kouroumali, K., Makridis, G., & Kyriazis, D. (2023). Transforming sentiment analysis in the financial domain with ChatGPT. In Machine Learning with Applications, 14, 100508, ISSN 2666-8270, https://doi.org/10.1016/j.mlwa.2023.100508.
Data Marketplaces: Best Practices, Challenges, and Advancements for Embedded Finance
Kiourtis, A., Mavrogiorgou, A., Makridis, G., Fatouros, G., Soldatos J., & Kyriazis, D. (2023). Data Marketplaces: Best Practices, Challenges, and Advancements for Embedded Finance. In 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) (pp. 533-540). IEEE. doi: 10.1109/DCOSS-IoT58021.2023.00088
FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance
Mavrogiorgou, A., et al. (2023). FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance. In 2023 International Conference on Smart Applications, Communications and Networking (SmartNets) (pp. 1-6). IEEE. doi: 10.1109/SmartNets58706.2023.10215814
Comprehensive Architecture for Data Quality Assessment in Industrial IoT
Fatouros, G., Makridis, G., Mavrogiorgou, A., Soldatos, J., Filippakis, M., & Kyriazis, D. (2023, June). Comprehensive Architecture for Data Quality Assessment in Industrial IoT. In 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) (pp. 512-517). IEEE.
Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models
Makridis, G., Fatouros, G., Kiourtis, A., Kotios, D., Koukos, V., Kyriazis, D., & Soldatos, J. (2023, June). Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models. In 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) (pp. 504-511). IEEE.
