Predictive analytics embraces an extensive range of techniques including statistical
modeling, machine learning, and data mining and is applied in business intelligence, public …

A key analytical task across many domains is model building and exploration for predictive
analysis. Data is collected, parsed and analyzed for relationships, and features are selected …

The semantic annotation of large multimedia corpora is essential for numerous tasks. Be it
for the training of classification algorithms, efficient content retrieval, or for analytical …

“It's after 2001. Where is HAL?” This question was asked 2007 by cognitive science pioneer
Marvin Minsky in a talk about the state of artificial intelligence (AI). He was referring to the …

In this paper, we explore the intersection of knowledge and the forecasting accuracy of
humans when supported by visual analytics. We have recruited 40 experts in machine …

We, as humans, are immersed in language. It is our most versatile means of communication,
and as such plays an outstanding role in our societies. Not only is it used as an everyday …

A language model is fundamental to many applications in natural language processing.
Most language models are trained on a large amount of dataset and difficult to be adapted to …

The often cited information explosion is not limited to volatile network traffic and massive
multimedia capture data. Structured and high quality data from diverse fields of study …

In the quest for scientific developments and advancements in the society, machine learning
applications are becoming part of almost every process in the industries. The world is …

Predictive analytics embraces an extensive area of techniques from statistical modeling to
machine learning to data mining and is applied in business intelligence, public health …