基本信息
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职业迁徙
个人简介
where he studied networks and their applications in transportation systems. His main research interests include data management algorithms, techniques and tools; development of methodologies, algorithms and tools for web-based information systems, portals and web services; and the understanding of the meaning (semantics) of interoperable data and services on the web and also the understanding and summarization of large Knowledge Graphs (KGs). He is working on studying the formation and evolution of discussions in online social networks using Machine Learning (ML) and Artificial Intelligence (AI) techniques, as well as the evolution of social graphs. Additionally, he is also working in the area of accountability, explainability and fairness of the ML and AI algorithms, especially when applied in data engineering and analysis problems; this includes issues on data privacy and especially their intersection with the publication of Linked Open Data. This work extends also in the area of personal mobility and personal social networks. Dimitris has published more than 70 articles in various journals, books, conferences and workshops and serves as a program committee member and reviewer for various conferences and journals. He is also participating in nationally and internationally funded research programs around data analytics, data models and networks and their integration in the everyday life.
研究兴趣
论文共 81 篇作者统计合作学者相似作者
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FAccTpp.1229-1245, (2023)
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Frontiers in artificial intelligence (2022): 879603
Catherine Lavandier,Roalt Aalmoes, Romain Dedieu, Ferenc Marki,Stephan Großarth,Dirk Schreckenberg, Asma Gharbi,Dimitris Kotzinos
Aviation Noise Impact Managementpp.241-264, (2022)
DOCUMENT ANALYSIS SYSTEMS, DAS 2022 (2022): 629-643
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