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Neda Rostamzadeh, Sheikh S. Abdullah and Kamran Sedig
The increasing use of electronic health record (EHR)-based systems has led to the generation of clinical data at an unprecedented rate, which produces an untapped resource for healthcare experts to improve the quality of care. Despite the growing demand ...
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Alexander M. Morison and David D. Woods
Vehicles and platforms with multiple sensors connect people in multiple roles with different responsibilities to scenes of interest. For many of these human?sensor systems there are a variety of algorithms that transform, select, and filter the sensor da...
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Gulsum Alicioglu and Bo Sun
Deep learning (DL) models have achieved state-of-the-art performance in many domains. The interpretation of their working mechanisms and decision-making process is essential because of their complex structure and black-box nature, especially for sensitiv...
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Milena Vuckovic and Johanna Schmidt
The importance of high-resolution meteorological time-series data for detection of transformative changes in the climate system is unparalleled. These data sequences allow for a comprehensive study of natural and forced evolution of warming and cooling t...
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Oleg Kalyta, Olexander Barmak, Pavlo Radiuk and Iurii Krak
Can be used in video surveillance systems for large groups of people.
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Jonathan Demelo and Kamran Sedig
We investigate the design of ontology-supported, progressively disclosed visual analytics interfaces for searching and triaging large document sets. The goal is to distill a set of criteria that can help guide the design of such systems. We begin with a ...
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Milena Vuckovic, Johanna Schmidt, Thomas Ortner and Daniel Cornel
The application potential of Visual Analytics (VA), with its supporting interactive 2D and 3D visualization techniques, in the environmental domain is unparalleled. Such advanced systems may enable an in-depth interactive exploration of multifaceted geos...
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Neda Rostamzadeh, Sheikh S. Abdullah, Kamran Sedig, Amit X. Garg and Eric McArthur
Laboratory tests play an essential role in the early and accurate diagnosis of diseases. In this paper, we propose SUNRISE, a visual analytics system that allows the user to interactively explore the relationships between laboratory test results and a di...
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Fernando H. O. Abreu, Amilcar Soares, Fernando V. Paulovich and Stan Matwin
With the recent increase in the use of sea transportation, the importance of maritime surveillance for detecting unusual vessel behavior related to several illegal activities has also risen. Unfortunately, the data collected by surveillance systems are o...
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Anton Ninkov and Kamran Sedig
Online debates, specifically the ones about public health issues (e.g., vaccines, medications, and nutrition), occur frequently and intensely, and are having an impact on our world. Many public health topics are debated online, one of which is the effica...
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Sheikh S. Abdullah, Neda Rostamzadeh, Kamran Sedig, Amit X. Garg and Eric McArthur
Recent advancement in EHR-based (Electronic Health Record) systems has resulted in producing data at an unprecedented rate. The complex, growing, and high-dimensional data available in EHRs creates great opportunities for machine learning techniques such...
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?.?. Troyanozhko,I.D. Kolesin
Pág. 27 - 34
The optimization of the breast cancer diagnostics in considered in this paper. The issue of classifying a tumor as benign or malignant is being resolved. Histochemistry of breast tumor punctates is performed using a fine-needle aspiration puncture. Next,...
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Marco Angelini, Giuseppe Santucci, Heidrun Schumann and Hans-Jörg Schulz
Progressive Visual Analytics (PVA) has gained increasing attention over the past years. It brings the user into the loop during otherwise long-running and non-transparent computations by producing intermediate partial results. These partial results can b...
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Hairulliza Mohamad Judi,Zanaton H Iksan,Noraidah Sahari Ashaari
The contribution of data analytics to scientific knowledge and better informed society is widely recognized but there are challenges in the traditional curriculum including the need to incorporate more meaningful computational and graphical tools and to ...
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Bolelang H. Sibolla, Serena Coetzee and Terence L. Van Zyl
Sensor networks generate substantial amounts of frequently updated, highly dynamic data that are transmitted as packets in a data stream. The high frequency and continuous unbound nature of data streams leads to challenges when deriving knowledge from th...
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Junjun Yin, Yizhao Gao, Zhenhong Du and Shaowen Wang
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Dierk Jugel,Christian M. Schweda,Alfred Zimmermann,Sandra Läufer
Pág. 46 - 55
Enterprise Architectures (EA) consist of a multitude of architecture elements, which relate in manifold ways to each other. As the change of a single element hence impacts various other elements, mechanisms for architecture analysis are important to stak...
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Günther Sagl, Martin Loidl and Euro Beinat
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Yu Wang, Alister Machado and Alexandru Telea
Visualization techniques for understanding and explaining machine learning models have gained significant attention. One such technique is the decision map, which creates a 2D depiction of the decision behavior of classifiers trained on high-dimensional ...
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Jeroen Ooge and Katrien Verbert
The rise of ?big data? in agrifood has increased the need for decision support systems that harvest the power of artificial intelligence. While many such systems have been proposed, their uptake is limited, for example because they often lack uncertainty...
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