Haku
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Deep Learning in Image Cytometry: A Review
(2019)
- review
Artificial intelligence, deep convolutional neural networks, and deep learning are all niche terms that are increasingly appearing in scientific presentations as well as in the general media. In this review, we focus on ...
A comprehensive survey of error measures for evaluating binary decision making in data science
(2019-02-08)
- review
Binary decision making is a topic of great interest for many fields, including biomedical science, economics, management, politics, medicine, natural science and social science, and much effort has been spent for developing ...
Postsynaptic signal transduction models for long-term potentiation and depression
(2010)
- review
More than a hundred biochemical species, activated by neurotransmitters binding to transmembrane receptors, are important in long-term potentiation (LTP) and long-term depression (LTD). To investigate which species and ...
Social media -based value creation and business models
(2016)
- review
Purpose - The purpose of this paper is to create an organized picture of the current understanding of social media-based value creation and business models. Design/methodology/approach - Following the process model presented ...
Evaluating the business impacts of social media use with System Dynamics and Agent-Based Modeling : A Literature Review
(2016)
- review
Social media has been widely adopted as a useful business tool, especially in the domain of business to consumer marketing. However, the deployment of social media tools to business processes is hindered by the lack of ...
Visualizing Big Data with Augmented and Virtual Reality: Challenges and Research Agenda
(2015-10-01)
- review
This paper provides a multi-disciplinary overview of the research issues and achievements in the field of Big Data and its visualization techniques and tools. The main aim is to summarize challenges in visualization methods ...
Diversification and Obfuscation Techniques for Software Security: a Systematic Literature Review
(2018-12)
- review
Abstract Context: Diversification and obfuscation are promising techniques for securing software and protecting computers from harmful malware. The goal of these techniques is not removing the security holes, but making ...
Flow experience in game based learning – a systematic literature review
(2017-03)
- review
The entertaining elements implemented in a serious game are key factors in determining whether a player will be engaged in a play-learn process and able to achieve the desired learning outcomes. Thus, optimization of ...