This work focuses on the visual representation of relations towards aiding the exploration and analysis of network intrusions. Fundamentally, the visual representations aid an ana...
We present a framework for constructing representations of space in an autonomous agent which does not obtain any direct information about its location. Instead the algorithm relie...
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...
Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jing...
Experimental network research is subject to challenges since the experiment outcomes can be influenced by undesired effects from other activities in the network. In shared experi...