Results 21 to 30 of about 2,906,819 (282)

Hardware-accelerated interactive data visualization for neuroscience in Python. [PDF]

, 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 ...
Harris, KD, Rossant, C
core   +1 more source

Visual evaluation of graph representation learning based on the presentation of community structures

Visual Informatics
Various graph representation learning models convert graph nodes into vectors using techniques like matrix factorization, random walk, and deep learning. However, choosing the right method for different tasks can be challenging.
Yong Zhang, Lihong Cai, Yuhua Liu, Yize Li, Songyue Li, Yuming Ma, Yuwei Meng, Zhiguang Zhou   +7 more
doaj   +1 more source

Big Data Visualization Tools

, 2018
Data visualization is the presentation of data in a pictorial or graphical format, and a data visualization tool is the software that generates this presentation. Data visualization provides users with intuitive means to interactively explore and analyze
Bikakis, Nikos
core   +1 more source

Perspectives on the 2 × 2 Matrix: Solving Semantically Distinct Problems Based on a Shared Structure of Binary Contingencies

Frontiers in Psychology, 2021
Cognition is both empowered and limited by representations. The matrix lens model explicates tasks that are based on frequency counts, conditional probabilities, and binary contingencies in a general fashion. Based on a structural analysis of such tasks,
Hansjörg Neth, Nico Gradwohl, Dirk Streeb, Daniel A. Keim, Wolfgang Gaissmaier   +4 more
doaj   +1 more source

A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews

Big Data and Cognitive Computing
The efficiency of natural language processing has improved dramatically with the advent of machine learning models, particularly neural network-based solutions. However, some tasks are still challenging, especially when considering specific domains. This
Róbert Lakatos, Gergő Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabó, András Hajdu   +7 more
doaj   +1 more source

Knowledge, Attitude, and Practice on Cervical Cancer and Screening Among Women in India: A Review

Cancer Control, 2021
Background: Cervical Cancer is the second most common cancer among women in the world leading to 90% deaths in low and middle income countries. About 96,922 new Cervical Cancer cases are diagnosed annually in India.
Neha Taneja, Bhavika Chawla, Aanchal Anant Awasthi, Kumar Dron Shrivastav PhD, Vinita Kumar Jaggi, Rajiv Janardhanan   +5 more
doaj   +1 more source

Possibilities for Assessment and Geovisualization of Spatial and Temporal Water Quality Data Using a WebGIS Application

ISPRS International Journal of Geo-Information, 2022
The provision of webGIS-based water quality data services has become a priority area for both the public and administrative sectors in the context of the pandemic emergency associated with the global spread of COVID-19. Current geographic, monitoring and
Dániel Balla, Marianna Zichar, Emőke Kiss, György Szabó, Tamás Mester   +4 more
doaj   +1 more source

Multimapper: Data Density Sensitive Topological Visualization

, 2019
Mapper is an algorithm that summarizes the topological information contained in a dataset and provides an insightful visualization. It takes as input a point cloud which is possibly high-dimensional, a filter function on it and an open cover on the range
Deb, Bishal, Gupta, Piyush, Krishnamurthy, Balaji, Kumari, Nupur, Rupela, Akash, Sarkar, Ankita   +5 more
core   +1 more source

Visualizing Gene Clusters using Neighborhood Graphs in R [PDF]

, 2008
The visualization of cluster solutions in gene expression data analysis gives practitioners an understanding of the cluster structure of their data and makes it easier to interpret the cluster results.
Leisch, Friedrich, Scharl, Theresa
core   +1 more source

Error-Driven Prompt Optimization for Arithmetic Reasoning: A Code Generation Approach Using On-Premises Small Language Models on Tabular Data

IEEE Access
Recent advancements in artificial intelligence have sparked interest in industrial agents that support analysts in regulated sectors, such as finance and healthcare, within tabular data workflows.
Arpad Pandy, Robert Lakatos, Andras Hajdu   +2 more
doaj   +1 more source