Results 41 to 50 of about 1,819,675 (317)
A framework for the visualization of multidimensional and multivariate data [PDF]
, 2004 High dimensionality is a major challenge for data visualization. Parameter optimization problems require an understanding of the behaviour of an objective function in an n-dimensional space around the optimum - this is multidimensional visualization and ...
Dos Santos, Selan Rodrigues
core
FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Reliable uncertainty estimates in deep learning with efficient Metropolis-Hastings algorithms
Nature CommunicationsApproaching problems with data-driven models often requires reliable uncertainty estimates. Bayesian neural networks can offer these for deep learning models.
Matthias Schmal, Patrick Mäder
doaj +1 more source
Visualization in data science [PDF]
IEEE Computer Graphics and Applications, 2019 This Special Issue of IEEE Computer Graphics and Applications highlights six papers from the Symposium on Visualization in Data Science (VDS) held in Berlin, Germany in October 2018. VDS brought together hundreds of domain scientists and methods researchers (including visualization, usability and HCI, data management, statistics, machine learning, and ...
Adam Perer, Shixia Liu
openaire +2 more sources
Interactive Hierarchical Data Investigation using Abstractions -- the Waltz Visualization Environment [PDF]
, 1996 Scientific visualization is becoming common in the work-place; hastened by the growth in the power of computers generating data that needs to be visualized.
Roberts, Jonathan C.
core
Hardware-accelerated interactive data visualization for neuroscience in Python.
, 2013 Large datasets are becoming more and more common in science, particularly in neuroscience where experimental techniques are rapidly evolving. Obtaining interpretable results from raw data can sometimes be done automatically; however, there are numerous ...
Kenneth D Harris +5 more
core +1 more source
Measures in Visualization Space [PDF]
, 2020 Measurement is an integral part of modern science, providing the fundamental means for evaluation, comparison, and prediction. In the context of visualization, several different types of measures have been proposed, ranging from approaches that evaluate ...
Bruckner, Stefan +3 more
core +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
MagneticPillars++: Efficient LiDAR Odometry Via Deep Frame-To-Keyframe Point Cloud Registration
Applied Artificial IntelligenceDownstream applications for point cloud registration, like LiDAR Odometry, often conduct Iterative Closest Points (ICP) in the initial frame-to-frame matching and/or subsequent map refinement.
Kai Fischer +3 more
doaj +1 more source
Robotics, 2022 In the spirit of innovation, the development of an intelligent robot system incorporating the basic principles of Industry 4.0 was one of the objectives of this study.
Tibor Péter Kapusi +3 more
doaj +1 more source