Malware Detection is an important problem in modern day due to the increasing frequency of malware attacks using unknown malware strains. Unlike traditional detection techniques which require a signature for each sample, ...

We consider a generalization of the classical K-center problem with capacities, demands, and outliers. The capacitated K-center problem adds a constraint to the original K-center problem of every vertex having a capacity ...

The shepherding problem is a problem setting in the multi-agent systems domain. The primary aim is to guide or ‘shepherd’ a swarm of unwilling agents to a destination, with the help of autonomous agents. We explore this ...

We address the problem of finding a textual summary of facts within a path in a knowledge graph.Knowledge graphs are increasingly used in search engines and store data in the form of a Semantic Web structure making ...

Using the publicly available data-sets and the surveys, we aim to design a web-portal that would be able to provide insights into venues that are considered important for research as well as information of researchers ...

Approximate Reasoning involves compromising the soundness or the completeness of reasoning over description logic ontologies in favor of significant speed up in the run time. The efficiency of approximate Reasoning can ...

We use Mean Shift clustering in the latent space of an auto-encoder to have a better representation of the data and a more structured latent space. Instead of just using the mode of the distribution calculated using kernel ...

Transfer learning is widely used for many applications, but it is difficult to adapt intermediate layers of the network to a new learning task with less data available. Learning the importance that key connections play ...

Monitoring of protected areas to curb illegal activities like poaching and animal trafficking is a monumental task. To augment existing manual patrolling efforts, unmanned aerial surveillance using visible and thermal ...

Ontology Learning is the semi-automatic and automatic extraction of ontology from a natural language text, using text-mining and information extraction. Each ontology primarily represents some concepts and their corresponding ...