L
Loizos Michael
Researcher at Open University of Cyprus
Publications - 88
Citations - 1042
Loizos Michael is an academic researcher from Open University of Cyprus. The author has contributed to research in topics: Argumentation theory & Narrative. The author has an hindex of 16, co-authored 85 publications receiving 932 citations. Previous affiliations of Loizos Michael include University of Cyprus & Open University.
Papers
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Journal ArticleDOI
Congestion control in wireless sensor networks based on bird flocking behavior
TL;DR: It is proposed that the flocking behavior of birds can guide the design of a robust, scalable and self-adaptive congestion control protocol in the context of wireless sensor networks (WSNs).
Proceedings Article
Reading between the lines
TL;DR: An in-depth analysis reveals the scale of differences among strains of common cell lines and the importance of knowing the carrier and removal status of canine coronavirus.
Proceedings ArticleDOI
Improving distributed join efficiency with extended bloom filter operations
TL;DR: This paper presents extensions of bloom filter operations that are applicable to a wide range of usages, where bloom filters are facilitated for compressed set representation, and points out how they improve the performance of such distributed joins.
Proceedings ArticleDOI
ICE: an iterative combinatorial exchange
David C. Parkes,Ruggiero Cavallo,Nick Elprin,Adam I. Juda,Sébastien Lahaie,Benjamin Lubin,Loizos Michael,Jeffrey Shneidman,Hassan Sultan +8 more
TL;DR: The exchange incorporates a tree-based bidding language that is concise and expressive for CEs that allows price discovery and useful preference elicitation in early rounds, and allows termination with an efficient trade despite partial information on bidder valuations.
Proceedings Article
Ceteris Paribus preference elicitation with predictive guarantees
TL;DR: It is proved that the learning problem is intractable, even under several simplifying assumptions, and the proposed algorithm is a PAC-learner, and, thus, that the CP-networks it induces accurately predict the user's preferences on previously unseen situations.