Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Shah Rukh"'
Autor:
Patil, Snehal, Humayoun, Shah Rukh
Social Media platforms (e.g., Twitter, Facebook, etc.) are used heavily by public to provide news, opinions, and reactions towards events or topics. Integrating such data with the event or topic factual data could provide a more comprehensive underst
Externí odkaz:
http://arxiv.org/abs/2309.04724
Twitter is one of the popular social media platforms where people share news or reactions towards an event or topic using short text messages called "tweets". Emotion analysis in these tweets can play a vital role in understanding peoples' feelings t
Externí odkaz:
http://arxiv.org/abs/2309.04722
Visual exploration of multi-classification models with large number of classes would help machine learning experts in identifying the root cause of a problem that occurs during learning phase such as miss-classification of instances. Most of the prev
Externí odkaz:
http://arxiv.org/abs/2309.05676
The recent advancements in machine learning have motivated researchers to generate classification models dealing with hundreds of classes such as in the case of image datasets. However, visualization of classification models with high number of class
Externí odkaz:
http://arxiv.org/abs/2309.05672
Recently, a new window to explore tweet data has been opened in TExVis tool through visualizing the relations between the frequent keywords. However, timeline exploration of tweet data, not present in TExVis, could play a critical factor in understan
Externí odkaz:
http://arxiv.org/abs/2107.04799
Recent advancements in mobile devices encourage researchers to utilize them in collaborative environments as a medium to interact with large shared wall-displays. In this paper, we focus on a semi-controlled user study that we conducted to measure th
Externí odkaz:
http://arxiv.org/abs/1904.13364
Autor:
Cashman, Dylan, Humayoun, Shah Rukh, Heimerl, Florian, Park, Kendall, Das, Subhajit, Thompson, John, Saket, Bahador, Mosca, Abigail, Stasko, John, Endert, Alex, Gleicher, Michael, Chang, Remco
Publikováno v:
Computer Graphics Forum 38(3) 2019, The Eurographics Association and John Wiley & Sons Ltd
Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some situations, insights may be less important than the production of an
Externí odkaz:
http://arxiv.org/abs/1809.10782
In this position paper, we present our approach of utilizing mobile devices (i.e., mobile phones and tablets) for assisting engineers and experts in understanding and maintaining the factory pipelines. For this, we present a platform, called assistME
Externí odkaz:
http://arxiv.org/abs/1502.03678
Autor:
Abigail Mosca, Kendall Park, Subhajit Das, Shah Rukh Humayoun, John Thompson, Florian Heimerl, Michael Gleicher, John Stasko, Bahador Saket, Remco Chang, Alex Endert, Dylan Cashman
Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some situations, insights may be less important than the production of an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7029c367c16b97a8890600c7a036724