Acknowledgement to Reviewers of Informatics in 2017
Journal Title: Informatics - Year 2018, Vol 5, Issue 1
Abstract
Peer review is an essential part in the publication process, ensuring that Informatics maintains high quality standards for its published papers. In 2017, a total of 44 papers were published in the journal. Thanks to the cooperation of our reviewers, the median time to first decision was 26 days and the median time to publication was 66.5 days.
Authors and Affiliations
Informatics Editorial Office
Ubiquitous Learning Architecture to Enable Learning Path Design across the Cumulative Learning Continuum
The past twelve years have seen ubiquitous learning (u-learning) emerging as a new learning paradigm based on ubiquitous technology. By integrating a high level of mobility into the learning environment, u-learning ena...
An Empirical Study on Importance of Modeling Parameters and Trading Volume-Based Features in Daily Stock Trading Using Neural Networks
There have been many machine learning-based studies to forecast stock price trends. These studies attempted to extract input features mostly from the price information with little focus on the trading volume informatio...
Scalable Interactive Visualization for Connectomics
Connectomics has recently begun to image brain tissue at nanometer resolution, which produces petabytes of data. This data must be aligned, labeled, proofread, and formed into graphs, and each step of this process requir...
digiMe: An Online Portal to Support Connectivity through E-Learning in Medical Education
Connectivity is intrinsic to all aspects of our life today, be it political, economic, technological, scientific, or personal. Higher education is also transcending the previous paradigm of technology enabled content d...
Constructing Interactive Visual Classification, Clustering and Dimension Reduction Models for n-D Data
The exploration of multidimensional datasets of all possible sizes and dimensions is a long-standing challenge in knowledge discovery, machine learning, and visualization. While multiple efficient visualization methods...