Results 81 to 90 of about 23,013,533 (283)

Visual attention information can be traced on cortical response but not on the retina: evidence from electrophysiological mouse data using natural images as stimuli [PDF]

arXiv, 2023
Visual attention forms the basis of understanding the visual world. In this work we follow a computational approach to investigate the biological basis of visual attention. We analyze retinal and cortical electrophysiological data from mouse. Visual Stimuli are Natural Images depicting real world scenes.
arxiv  

A Review of Three-Dimensional Medical Image Visualization

Health Data Science, 2022
Importance. Medical images are essential for modern medicine and an important research subject in visualization. However, medical experts are often not aware of the many advanced three-dimensional (3D) medical image visualization techniques that could ...
Liang Zhou, Mengjie Fan, Charles Hansen, Chris R. Johnson, Daniel Weiskopf   +4 more
doaj   +1 more source

Beyond English: Centering Multilingualism in Data Visualization [PDF]

Workshop on Visualization for Social Good 2023, 2023
Information visualization and natural language are intricately linked. However, the majority of research and relevant work in information and data visualization (and human-computer interaction) involve English-speaking populations as both researchers and participants, are published in English, and are presented predominantly at English-speaking venues.
arxiv  

The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library [PDF]

Astrophysical Journal Supplement Series, 2018
Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years of operation (2014 July–2017 July). This is the third data release for SDSS-
D. Aguado, Romina Ahumada, Andres Almeida, S. Anderson, B. Andrews, B. Anguiano, E. Ort́ız, A. Aragón-Salamanca, M. Argudo-Fernández, M. Aubert, V. Avila-Reese, C. Badenes, S. Rembold, K. Barger, J. Barrera-Ballesteros, Dominic J Bates, J. Bautista, R. Beaton, T. Beers, F. Belfiore, M. Bernardi, M. Bershady, F. Beutler, J. Bird, D. Bizyaev, G. Blanc, M. Blanton, M. Blomqvist, A. Bolton, M. Boquien, J. Borissova, J. Bovy, W. Brandt, J. Brinkmann, J. Brownstein, K. Bundy, A. Burgasser, N. Byler, M. C. Díaz, M. Cappellari, R. Carrera, B. C. Sodi, Yanping Chen, B. Cherinka, P. D. Choi, Haeun Chung, D. Coffey, J. Comerford, J. Comparat, K. Covey, G. S. Ilha, L. Costa, Y. Dai, G. Damke, J. Darling, R. Davies, K. Dawson, Victoria de Sainte Agathe, Alice Deconto Machado, A. Moro, N. D. Lee, A. Diamond-Stanic, H. Sánchez, J. Donor, N. Drory, Hélion Marie du Mas des Bourboux, Christopher Duckworth, T. Dwelly, G. Ebelke, E. Emsellem, S. Escoffier, J. Fernández-Trincado, D. Feuillet, J. Fischer, S. Fleming, A. Fraser-McKelvie, G. Freischlad, P. Frinchaboy, H. Fu, L. Galbany, R. Garcia-Dias, D. A. García-Hernández, Luis Alberto Garma Oehmichen, M. Maia, H. Gil-Marín, K. Grabowski, M. Gu, Hong Guo, Jaewon Ha, E. Harrington, S. Hasselquist, C. Hayes, F. Hearty, H. Toledo, Harry Hicks, D. Hogg, K. Holley-Bockelmann, J. Holtzman, B. Hsieh, Jason A. S. Hunt, H. Hwang, H. Ibarra-Medel, C. J. Angel, Jennifer A. Johnson, Amy M. Jones, H. Jőnsson, K. Kinemuchi, J. Kollmeier, Coleman M Krawczyk, K. Kreckel, S. Kruk, I. Lacerna, Ting-Wen Lan, R. Lane, D. Law, Young-Bae Lee, Cheng Li, J. Lian, Lihwai Lin, Yen-Ting Lin, C. Lintott, D. Long, P. Longa-Peña, J. Mackereth, A. Macorra, S. Majewski, O. Malanushenko, A. Manchado, C. Maraston, V. Mariappan, Mariarosa Marinelli, R. Marques-Chaves, T. Masseron, K. Masters, R. McDermid, N. M. Pena, S. Meneses-Goytia, A. Merloni, M. Merrifield, S. Mészáros, D. Minniti, R. Minsley, D. Muna, A. Myers, P. Nair, J. C. Nascimento, J. Newman, C. Nitschelm, M. Olmstead, A. Oravetz, D. Oravetz, R. O. Minakata, Z. Pace, N. Padilla, P. Palicio, K. Pan, H. Pan, T. Parikh, James Parker, S. Peirani, S. Penny, W. Percival, I. Pérez-Fournon, T. Peterken, M. Pinsonneault, A. Prakash, J. Raddick, A. Raichoor, R. Riffel, R. Riffel, H. Rix, A. Robin, A. Roman-Lopes, B. Rose, A. Ross, G. Rossi, K. Rowlands, K. Rubin, S. Sánchez, J. Sánchez-Gallego, Conor Sayres, A. Schaefer, R. Schiavon, J. Schimoia, E. Schlafly, D. Schlegel, D. Schneider, M. Schultheis, H. Seo, S. Shamsi, Z. Shao, S. Shen, S. Shetty, G. Simonian, R. Smethurst, J. Sobeck, B. Souter, Ashley Spindler, D. Stark, K. Stassun, M. Steinmetz, T. Storchi-Bergmann, G. Stringfellow, G. Suárez, Jing Sun, M. Taghizadeh-Popp, M. Talbot, J. Tayar, A. Thakar, D. Thomas, P. Tissera, R. Tojeiro, N. Troup, E. Unda-Sanzana, O. Valenzuela, Ma Na, J. Mata, D. Wake, B. Weaver, A. Weijmans, K. Westfall, V. Wild, John Wilson, Emily J Woods, R. Yan, Meng Yang, O. Zamora, G. Zasowski, Kai Zhang, Zheng Zheng, G. Zhu, J. Zinn, H. Zou   +232 more
semanticscholar   +1 more source

Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems

Machine Learning and Knowledge Extraction
Generative large language models (LLMs) have revolutionized the development of knowledge-based systems, enabling new possibilities in applications like ChatGPT, Bing, and Gemini.
Róbert Lakatos, Péter Pollner, András Hajdu, Tamás Joó   +3 more
doaj   +1 more source

Examining the Utility of Visible Near-Infrared and Optical Remote Sensing for the Early Detection of Rapid ‘Ōhi‘a Death

Remote Sensing, 2020
The early detection of plant pathogens at the landscape scale holds great promise for better managing forest ecosystem threats. In Hawai‘i, two recently described fungal species are responsible for increasingly widespread mortality in ‘ōhi‘a Metrosideros
Ryan L. Perroy, Marc Hughes, Lisa M. Keith, Eszter Collier, Timo Sullivan, Gabriel Low   +5 more
doaj   +1 more source

Measuring Effects of Spatial Visualization and Domain on Visualization Task Performance: A Comparative Study [PDF]

arXiv, 2022
Understanding your audience is foundational to creating high impact visualization designs. However, individual differences and cognitive abilities also influence interactions with information visualization. Differing user needs and abilities suggest that an individual's background could influence cognitive performance and interactions with visuals in a
arxiv  

ggtree: an r package for visualization and annotation of phylogenetic trees with their covariates and other associated data

, 2017
We present an r package, ggtree, which provides programmable visualization and annotation of phylogenetic trees. ggtree can read more tree file formats than other softwares, including newick, nexus, NHX, phylip and jplace formats, and support ...
Guangchuang Yu, David K. Smith, Huachen Zhu, Y. Guan, T. Lam   +4 more
semanticscholar   +1 more source

Overview of Data Visualization

Embodying Data, 2020
This chapter will first address data visualization and then discuss the relationship between data visualization and aesthetics. It discusses the definition of data and information and the forms and characteristics of traditional data visualization ...
Qi Li
semanticscholar   +1 more source

Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessments

Proceedings of the National Academy of Sciences of the United States of America, 2019
In the information age, the ability to read and construct data visualizations becomes as important as the ability to read and write text. However, while standard definitions and theoretical frameworks to teach and assess textual, mathematical, and visual
K. Börner, Andreas Bueckle, Michael Ginda   +2 more
semanticscholar   +1 more source