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Informed machine learning–a taxonomy and survey of integrating prior knowledge into learning systems
Despite its great success, machine learning can have its limits when dealing with insufficient
training data. A potential solution is the additional integration of prior knowledge into the …
training data. A potential solution is the additional integration of prior knowledge into the …
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
Leading teachers' perspective on teacher-AI collaboration in education
Moving beyond the direct support all alone by a human teacher or an Artificial Intelligence
(AI) system, optimizing the complementary strengths of the two has aroused great …
(AI) system, optimizing the complementary strengths of the two has aroused great …
[HTML][HTML] Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Medical artificial intelligence (AI) systems have been remarkably successful, even
outperforming human performance at certain tasks. There is no doubt that AI is important to …
outperforming human performance at certain tasks. There is no doubt that AI is important to …
CRISP-DM twenty years later: From data mining processes to data science trajectories
CRISP-DM (CRoss-Industry Standard Process for Data Mining) has its origins in the second
half of the nineties and is thus about two decades old. According to many surveys and user …
half of the nineties and is thus about two decades old. According to many surveys and user …
[HTML][HTML] Social media analytics–Challenges in topic discovery, data collection, and data preparation
Since an ever-increasing part of the population makes use of social media in their day-to-
day lives, social media data is being analysed in many different disciplines. The social …
day lives, social media data is being analysed in many different disciplines. The social …
Vistext: A benchmark for semantically rich chart captioning
Captions that describe or explain charts help improve recall and comprehension of the
depicted data and provide a more accessible medium for people with visual disabilities …
depicted data and provide a more accessible medium for people with visual disabilities …
Healthcare expenditure and economic performance: insights from the United States data
This research explores the association of public health expenditure with economic
performance across the United States. Healthcare expenditure can result in better provision …
performance across the United States. Healthcare expenditure can result in better provision …
State of the art of visual analytics for explainable deep learning
The use and creation of machine‐learning‐based solutions to solve problems or reduce
their computational costs are becoming increasingly widespread in many domains. Deep …
their computational costs are becoming increasingly widespread in many domains. Deep …
Visual learning analytics of educational data: A systematic literature review and research agenda
We present a systematic literature review of the emerging field of visual learning analytics.
We review existing work in this field from two perspectives: First, we analyze existing …
We review existing work in this field from two perspectives: First, we analyze existing …