activity
20102026
most citedOptimal Data Placement on Networks With Constant Number of Clients

5 citations · 6 across the 6 of their papers we have counts for

collaborators

7 papers

cs.DS2026

Domination and Coverage Problems under Vulnerability Constraints

Ioannis Sigalas, Nikolaos Lazaropoulos, Ioannis Lamprou +2

In various domination and coverage problems, certain vertices or edges should not be dominated/covered and are designated as vulnerable. Motivated by this, we define the -Vertex…

cs.DS2025

Approximations for Fault-Tolerant Total and Partial Positive Influence Domination

Ioannis Lamprou, Ioannis Sigalas, Ioannis Vaxevanakis +1

In , given a graph , we seek a minimum-size set of nodes , such that every node in has at least one neighbor in . We define…

cs.LG2020★ 1 cited

Too Much Information Kills Information: A Clustering Perspective

Yicheng Xu, Vincent Chau, Chenchen Wu +3

Clustering is one of the most fundamental tools in the artificial intelligence area, particularly in the pattern recognition and learning theory. In this paper, we propose a simple…

cs.DS2019

Improved Budgeted Connected Domination and Budgeted Edge-Vertex Domination

Ioannis Lamprou, Ioannis Sigalas, Vassilis Zissimopoulos

We consider the \emph{Budgeted} version of the classical \emph{Connected Dominating Set} problem (BCDS). Given a graph and a budget , we seek a connected subset of at most $…

cs.DS2018

Maximum Rooted Connected Expansion

Ioannis Lamprou, Russell Martin, Sven Schewe +2

Prefetching constitutes a valuable tool toward efficient Web surfing. As a result, estimating the amount of resources that need to be preloaded during a surfer's browsing becomes a…

cs.DS2015

Calibrations Scheduling Problem with Arbitrary Lengths and Activation Length

Eric Angel, Evripidis Bampis, Vincent Chau +1

Bender et al. (SPAA 2013) have proposed a theoretical framework for testing in contexts where safety mistakes must be avoided. Testing in such a context is made by machines that ne…

cs.DS2010★ 5 cited

Optimal Data Placement on Networks With Constant Number of Clients

Eric Angel, Evripidis Bampis, Gerasimos G. Pollatos +1

We introduce optimal algorithms for the problems of data placement (DP) and page placement (PP) in networks with a constant number of clients each of which has limited storage avai…