Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Daniel Smilkov"'
Autor:
Martin Wattenberg, James Wexler, Dilip Krishnan, Doug Fritz, Fernanda B. Viégas, Jimbo Wilson, Kanit Wongsuphasawat, Dandelion Mane, Daniel Smilkov
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 24:1-12
We present a design study of the TensorFlow Graph Visualizer, part of the TensorFlow machine intelligence platform. This tool helps users understand complex machine learning architectures by visualizing their underlying dataflow graphs. The tool work
Autor:
Emily Reif, Jason Hipp, Narayan Hegde, Mahul B. Amin, Michael R. Emmert-Buck, Yun Liu, Lily Peng, Michael Terry, Martin C. Stumpe, Daniel Smilkov, Greg S. Corrado, Craig H. Mermel, Carrie J. Cai, Phil Q. Nelson
Publikováno v:
NPJ Digital Medicine
npj Digital Medicine, Vol 2, Iss 1, Pp 1-9 (2019)
npj Digital Medicine, Vol 2, Iss 1, Pp 1-9 (2019)
The increasing availability of large institutional and public histopathology image datasets is enabling the searching of these datasets for diagnosis, research, and education. Though these datasets typically have associated metadata such as diagnosis
Autor:
Fernanda B. Viégas, Narayan Hegde, Jason D. Hipp, Martin Wattenberg, Emily Reif, Been Kim, Greg S. Corrado, Michael Terry, Martin C. Stumpe, Daniel Smilkov, Carrie J. Cai
Publikováno v:
CHI
Machine learning (ML) is increasingly being used in image retrieval systems for medical decision making. One application of ML is to retrieve visually similar medical images from past patients (e.g. tissue from biopsies) to reference when making a me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae8a6a564e99a0b8ffe288668141b583
Publikováno v:
Nonlinear Processes in Geophysics, Vol 20, Iss 2, Pp 199-206 (2013)
Contemporary tools for reducing model error in weather and climate forecasting models include empirical correction techniques. In this paper we explore the use of such techniques on low-order atmospheric models. We first present an iterative linear r
Autor:
Daniel Smilkov, Ljupco Kocarev
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 389:2290-2299
Rich-club and page-club coefficients and their null models are introduced for directed graphs. Null models allow for a quantitative discussion of the rich-club and page-club phenomena. These coefficients are computed for four directed real-world netw
Publikováno v:
Scientific Reports
Nature Publishing Group
Nature Publishing Group
The compartmental models used to study epidemic spreading often assume the same susceptibility for all individuals, and are therefore, agnostic about the effects that differences in susceptibility can have on epidemic spreading. Here we show that–f
Autor:
Angel Stanoev, Daniel Smilkov
Publikováno v:
Consensus and Synchronization in Complex Networks ISBN: 9783642333583
This chapter provides a theoretical analysis for consensus reaching in networked systems. Convergence analysis is carried out for distributed algorithms on directed weighted networks for continuous- and discrete-time cases. Also, systems where consen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1f5fc137bece5f3c4abc5c6203484b6
https://doi.org/10.1007/978-3-642-33359-0_1
https://doi.org/10.1007/978-3-642-33359-0_1
Communities are not static; they evolve, split and merge, appear and disappear, i.e. they are product of dynamical processes that govern the evolution of the network. A good algorithm for community detection should not only quantify the topology of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::819bbd21aff863739bb9de909c28f53e
http://arxiv.org/abs/1104.5247
http://arxiv.org/abs/1104.5247
Autor:
Daniel Smilkov, Ljupco Kocarev
We introduce a broad class of analytically solvable processes on networks. In the special case, they reduce to random walk and consensus process - two most basic processes on networks. Our class differs from previous models of interactions (such as s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f48511f0fea4ee51499652fa75094f94
Autor:
Ljupco Kocarev, Daniel Smilkov
The influence of the network's structure on the dynamics of spreading processes has been extensively studied in the last decade. Important results that partially answer this question show a weak connection between the macroscopic behavior of these pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1445f27db1bea565785389addbea4c2