607 citations · 1.2k across the 34 of their papers we have counts for
5 papers · 1 filter
Uncovering migration systems through spatio-temporal tensor co-clustering
Zack W. Almquist, Tri Duc Nguyen, Mikael Sorensen +2
A central problem in the study of human mobility is that of migration systems. Typically, migration systems are defined as a set of relatively stable movements of people between tw…
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Learning generative probabilistic models is a core problem in machine learning, which presents significant challenges due to the curse of dimensionality. This paper proposes a join…
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data
Cheng Qian, Nikos Kargas, Cao Xiao +3
Real-world spatio-temporal data is often incomplete or inaccurate due to various data loading delays. For example, a location-disease-time tensor of case counts can have multiple d…
eWake: A Novel Architecture for Semi-Active Wake-Up Radios Attaining Ultra-High Sensitivity at Extremely-Low Consumption
Giannis Kazdaridis, Nikos Sidiropoulos, Ioannis Zografopoulos +1
In this work we propose a new scheme for semi-passive Wake-Up Receiver circuits that exhibits remarkable sensitivity beyond -70 dBm, while state-of-the-art receivers illustrate sen…
Exploring the Subgraph Density-Size Trade-off via the Lovász Extension
Aritra Konar, Nicholas D. Sidiropoulos
Given an undirected graph, the Densest-k-Subgraph problem (DkS) seeks to find a subset of k vertices such that the sum of the edge weights in the corresponding subgraph is maximize…