Publications

Graph Neural Network (GNN) training and inference involve significant challenges of scalability with respect to both model sizes and …

As social networks are constantly changing and evolving, methods to analyze dynamic social networks are becoming more important in …

We present a relevance feedback based browsing methodology using different representations for time series data. The outperforming …

Among different components of urban mobility, urban freight transport is usually considered as the least sustainable. Limited traffic …

Location based social networks (LBSN) and mobile applications generate data useful for location oriented business decisions. Companies …

While research on time-varying graphs has attracted recent attention, the research community has limited or no access to real datasets …

We propose a diversity based relevance feedback approach for time series data to improve the accuracy of search results. We first …

We propose a novel and robust algorithm for antenna scan type (AST) recognition in electronic warfare (EW). The stages of the algorithm …

In this paper, an algorithm which calculates element weights of an antenna array by using phase-only element weights to construct wide …

In this paper, finding the location of a passive emitter by using its scan period (T), with a single moving platform is analyzed. With …