output
19972026
most citedApplications of Deep Learning and Reinforcement Learning to Biological Data

876 citations

Showing 2017Show all

7 papers · 1 filter

cs.LG2017★ 876 cited

Applications of Deep Learning and Reinforcement Learning to Biological Data

Mufti Mahmud, M. Shamim Kaiser, Amir Hussain +1

Rapid advances of hardware-based technologies during the past decades have opened up new possibilities for Life scientists to gather multimodal data in various application domains…

cs.DL2017★ 11 cited

Towards a Formal, Visual Framework of Emergent Cognitive Development of Scholars

Amir Hussain, Muaz A. Niazi

Understanding the cognitive evolution of researchers as they progress in the academia is an important but complex problem, a problem belonging to a class of problems, which often r…

cs.NI2017★ 81 cited

A novel agent-based simulation framework for sensing in complex adaptive environments

Muaz A. Niazi, Amir Hussain

In this paper we present a novel Formal Agent-Based Simulation framework (FABS). FABS uses formal specification as a means of clear description of wireless sensor networks (WSN) se…

cs.SI2017★ 265 cited

Agent-based computing from multi-agent systems to agent-based Models: a visual survey

Muaz A. Niazi, Amir Hussain

Agent-Based Computing is a diverse research domain concerned with the building of intelligent software based on the concept of "agents". In this paper, we use Scientometric analysi…

cs.SI2017★ 7 cited

A discrete event system specification (DEVS)-based model of consanguinity

Noreen Akhtar, Muaz A. Niazi, Farah Mustafa +1

Consanguinity or inter-cousin marriage is a phenomenon quite prevalent in certain regions around the globe. Consanguineous parents have a higher risk of having offspring with conge…

cs.NI2017★ 118 cited

Agent based Tools for Modeling and Simulation of Self-Organization in Peer-to-Peer, Ad-Hoc and other Complex Networks

Muaz A. Niazi, Amir Hussain

Agent-based modeling and simulation tools provide a mature platform for development of complex simulations. They however, have not been applied much in the domain of mainstream mod…