28 citations · 72 across the 18 of their papers we have counts for
5 papers · 1 filter
Cross-Domain Latent Modulation for Variational Transfer Learning
Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield +1
We propose a cross-domain latent modulation mechanism within a variational autoencoders (VAE) framework to enable improved transfer learning. Our key idea is to procure deep repres…
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks
Jinyong Hou, Xuejie Ding, Stephen Cranefield +1
Current deep domain adaptation methods used in computer vision have mainly focused on learning discriminative and domain-invariant features across different domains. In this paper,…
Integrating Industrial Artifacts and Agents Through Apache Camel
Cleber Jorge Amaral, Stephen Cranefield, Jomi Fred Hübner +1
There are many challenges for building up the smart factory, among them to deal with distributed data, high volume of information, and wide diversity of devices and applications. I…
Mining International Political Norms from the GDELT Database
Rohit Murali, Suravi Patnaik, Stephen Cranefield
Researchers have long been interested in the role that norms can play in governing agent actions in multi-agent systems. Much work has been done on formalising normative concepts f…
Norm violation in online communities -- A study of Stack Overflow comments
Jithin Cheriyan, Bastin Tony Roy Savarimuthu, Stephen Cranefield
Norms are behavioral expectations in communities. Online communities are also expected to abide by the rules and regulations that are expressed in the code of conduct of a system.…