Showing 1 - 4 results of 4 for search '"more classification"', query time: 0.09s Refine Results
  1. 1

    An overview for assessing a number of systems for estimating age and gender of speakers by Aalaa Ahmed Mohammed, Yusra Faisal Al-Irhayim

    Published 2022-12-01
    “…The study showed that methods and algorithms of deep learning have excelled in providing accuracy ratios higher than other methods, and it shows that the hybridization of two or more classification methods increases the accuracy level of the results. …”
    Get full text
    Article
  2. 2

    Feature importance analysis for spammer detection in Sina Weibo by Yu-xiang ZHANG, Yu SUN, Jia-hai YANG, Da-lei ZHOU, Xiang-fei MENG, Chun-jing XIAO

    Published 2016-08-01
    “…Microblog has drawn attention of not only legitimate users but also spammers.The garbage information pro-vided by spammers handicaps users' experience significantly.In order to improve the detection accuracy of spammers,most existing studies on spam focus on generating more classification features or putting forward new classifiers.Which kind of issues would be put the high priority of an enormous amount of research effort into? …”
    Get full text
    Article
  3. 3

    Vegetation Classification and Survey: five years and looking ahead by Idoia Biurrun, Jürgen Dengler, Wolfgang Willner

    Published 2025-02-01
    “…We conclude that VCS is on the right track, although we would like to encourage the submission of more classification papers based on large plot datasets, as well as methodological papers and comprehensive reviews. …”
    Get full text
    Article
  4. 4

    Cool Neighbors: Combining Artificial Intelligence and Citizen Science to Chart the Sun’s Cosmic Neighborhood by Aaron Meisner, Dan Caselden, Austin Humphreys, Grady Robbins, Eden Schapera, J. Davy Kirkpatrick, Adam Schneider, L. Clifton Johnson, Marc Kuchner, Jacqueline Faherty, Sarah Casewell, Federico Marocco, Adam Burgasser, Daniella Bardalez Gagliuffi

    Published 2024-12-01
    “…Through analysis of more than 10 million total Zooniverse classifications from the combination of Cool Neighbors and Backyard Worlds: Planet 9, among other results, we find (1) Cool Neighbors volunteers perform ~3x more classifications per unit of time invested than Backyard Worlds: Planet 9 volunteers, and (2) each registered Cool Neighbors participant performs ~2–5x more classifications than each registered Backyard Worlds: Planet 9 participant. …”
    Get full text
    Article