基本信息
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个人简介
Prof. Vakali research efforts focus on Data Science disciplines with emphasis on Big Data analytics and Data technologies. Her research work spans from foundational principles (with algorithms and feature engineering approaches) to design and implementations of actual technologies, tools, and systems implemented in various domains. At her core research work, prof Vakali explores the : (i) dynamics and trends which drive online Web content and usage evolution; (ii) modelling and management of big data entities; (iii) knowledge extraction by appropriate graph mining and AI inspired techniques; and (iv) study of emerging data technologies from cloud to the edge, and their extend to decentralized (blockchain) frameworks. Her research work has valuable contributions to multiple domains since her research work is extensively validated by robust experimentation in social networks, health, energy, creative platforms, and smart cities.
研究兴趣
论文共 335 篇作者统计合作学者相似作者
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DATA & KNOWLEDGE ENGINEERING (2024): 102245-102245
Personality and Individual Differences (2024): 112576
CoRR (2023): 1-10
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COMPANION OF THE WORLD WIDE WEB CONFERENCE, WWW 2023pp.208-211, (2023)
PERSUASIVE (Adjunct) (2023)
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Studies in health technology and informatics (2023): 339-340
ACM Trans. Comput. Heal.no. 3 (2023): 17:1-17:43
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Ilias Dimitriadis,Nikolaos Virtsionis Gkalinikis, Nikolaos Gkiouzelis,Athena Vakali, Christos Athanasiadis,Costas Baslis
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Antonios Billis,Paraskevas Lagakis, George Petridis,Ilias Dimitriadis,Anastasios Gounaris,Athena Vakali, Zoe Valero Ramon,Farhad Abtahi,Fernando Seoane,Panagiotis Bamidis
2023 IEEE 19th International Conference on Body Sensor Networks (BSN)pp.1-4, (2023)
2023 IEEE INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WI-IATpp.40-47, (2023)
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