Papers Data Visualization
“Data Visualization” 태그가 달린 논문 335편 · 필터 해제
Geometry- and Accuracy-Preserving Random Forest Proximities
Random forests are considered one of the best out-of-the-box classification and regression algorithms due to their high level of predictive performance with relatively little tuning. Pairwise proximities can be computed …
Data VisualizationImputationOutlier DetectionregressionLeveraging Structural Properties of Source Code Graphs for Just-In-Time Bug Prediction
The most common use of data visualization is to minimize the complexity for proper understanding. A graph is one of the most commonly used representations for understanding relational data. It produces a simplified repre…
AttributeData VisualizationCompanyName2Vec: Company Entity Matching Based on Job Ads
Entity Matching is an essential part of all real-world systems that take in structured and unstructured data coming from different sources. Typically no common key is available for connecting records. Massive data cleani…
Data VisualizationMachine-Learning the Classification of Spacetimes
On the long-established classification problems in general relativity we take a novel perspective by adopting fruitful techniques from machine learning and modern data-science. In particular, we model Petrov's classifica…
BIG-bench Machine LearningClassificationData VisualizationDimensionality ReductionScalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOM
Dimensionality reduction methods have found vast application as visualization tools in diverse areas of science. Although many different methods exist, their performance is often insufficient for providing quick insight …
Data VisualizationDimensionality ReductionGPUSupervised dimensionality reductionUsing word clouds for fast identification of papers' subject domain and reviewers' competences
Generating word (tag) clouds is a powerful data visualization technique that allows people to get easily acquainted with the content of a large collection of textual documents and identify their subject domains for a mat…
Data VisualizationDecision MakingManagementTAGClassification-Regression for Chart Comprehension
Chart question answering (CQA) is a task used for assessing chart comprehension, which is fundamentally different from understanding natural images. CQA requires analyzing the relationships between the textual and the vi…
Chart Question AnsweringClassificationData VisualizationQuestion Answering+2UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring
The visualization and detection of anomalies (outliers) are of crucial importance to many fields, particularly cybersecurity. Several approaches have been proposed in these fields, yet to the best of our knowledge, none …
Anomaly DetectionData VisualizationVizAI : Selecting Accurate Visualizations of Numerical Data
A good data visualization is not only a distortion-free graphical representation of data but also a way to reveal underlying statistical properties of the data. Despite its common use across various stages of data analys…
Data VisualizationCross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
Citation information in scholarly data is an important source of insight into the reception of publications and the scholarly discourse. Outcomes of citation analyses and the applicability of citation based machine learn…
Citation Intent ClassificationCross-Lingual Entity LinkingData VisualizationStrategizing University Rank Improvement using Interpretable Machine Learning and Data Visualization
Annual ranking of higher educational institutions (HEIs) is a global phenomenon and have significant impact on higher education landscape. Most of the HEIs pay close attention to ranking results and look forward to impro…
BIG-bench Machine LearningData VisualizationInterpretable Machine LearningAstronomical source finding services for the CIRASA visual analytic platform
Innovative developments in data processing, archiving, analysis, and visualization are nowadays unavoidable to deal with the data deluge expected in next-generation facilities for radio astronomy, such as the Square Kilo…
AstronomyData VisualizationDimension Reduction for Fréchet Regression
With the rapid development of data collection techniques, complex data objects that are not in the Euclidean space are frequently encountered in new statistical applications. Fr\'echet regression model (Peterson & M\"ull…
Data VisualizationDimensionality ReductionregressionAn Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering
A fundamental task in machine learning involves visualizing high-dimensional data sets that arise in high-impact application domains. When considering the context of large imbalanced data, this problem becomes much more …
Data VisualizationUniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey
Uniform Manifold Approximation and Projection (UMAP) is one of the state-of-the-art methods for dimensionality reduction and data visualization. This is a tutorial and survey paper on UMAP and its variants. We start with…
Data VisualizationDimensionality ReductionNew Trends in Quantum Machine Learning
Here we will give a perspective on new possible interplays between Machine Learning and Quantum Physics, including also practical cases and applications. We will explore the ways in which machine learning could benefit f…
BIG-bench Machine LearningData VisualizationQuantum Machine LearningStochastic Cluster Embedding
Neighbor Embedding (NE) aims to preserve pairwise similarities between data items and has been shown to yield an effective principle for data visualization. However, even the best existing NE methods such as Stochastic N…
Data Visualization3D-RadViz: Three Dimensional Radial Visualization for Large-Scale Data Visualization
This paper presents 3D-RadViz, a visualization method for high dimensional data using a three dimensional radial visualization technique. The proposed technique extends the capabilities of the classical two dimensional r…
Data VisualizationDetectron2 Object Detection & Manipulating Images using Cartoonization
In today's world, there is a rapid increase in the autonomous vehicle. There are various levels of autonomous vehicles depending upon the degree of autonomy-for the lower degree of autonomy driver has more power and func…
Autonomous VehiclesData VisualizationImage AugmentationImage Classification+10Probing neural networks with t-SNE, class-specific projections and a guided tour
We use graphical methods to probe neural nets that classify images. Plots of t-SNE outputs at successive layers in a network reveal increasingly organized arrangement of the data points. They can also reveal how a networ…
Data Visualization