Search Results - "Shiren, Ye"

  • Showing 1 - 14 results of 14
Refine Results
  1. 1

    Interpretable prediction model for assessing diabetes complication risks in Chinese sufferers by Shiren, Ye, Jiangnan, Ye, Xinhua, Ye, Xinye, Ni

    Published in Diabetes research and clinical practice (01-03-2024)
    “…With growing concerns over complications in diabetes sufferers, this study sought to develop an interpretable machine learning model to offer enhanced…”
    Get full text
    Journal Article
  2. 2

    Identifying Alzheimer Disease Dementia Levels Using Machine Learning Methods by Hussain, Md Gulzar, Shiren, Ye

    Published 02-11-2023
    “…Dementia, a prevalent neurodegenerative condition, is a major manifestation of Alzheimer's disease (AD). As the condition progresses from mild to severe, it…”
    Get full text
    Journal Article
  3. 3

    Design and Optimization of Loss Functions in Fine-grained Sentiment and Emotion Analysis by Shiren, Ye, Li, Ding, Rinku, Ali Md

    “…The unbalanced distribution of category labels and the correlation between these labels tend to cause over-learning issues in deep learning models. In…”
    Get full text
    Conference Proceeding
  4. 4

    Learning object models from semistructured Web documents by Ye, S., Chua, T.-S.

    “…This paper presents an automated approach to learning object models by means of useful object data extracted from data-intensive semistructured Web documents…”
    Get full text
    Journal Article
  5. 5

    E-Voting System Improvised by Blockchain Technology: A Case Study by Deep, Shekh Minhaz Uddin, Hosen, Md Mosharof, Nisa, Mohimatun, Hussain, Md Gulzar, Shiren, Ye

    “…For a very long time, it has been a difficult task to construct a voting machine system that is both secure and fair, maintaining the confidentiality of the…”
    Get full text
    Conference Proceeding
  6. 6

    Transaction Dialogs Based on Short Messages Understanding by Shiren Ye, Ding-an Liao, Ye Zhou

    “…The paper proposed the crucial technique in transaction service system via Short Messages (SMs), which is a novel kind of dialog based on SMs understanding…”
    Get full text
    Conference Proceeding
  7. 7

    Recognition of COVID-19 Disease Utilizing X-Ray Imaging of the Chest Using CNN by Hussain, Md Gulzar, Shiren, Ye

    “…Since this COVID-19 pandemic thrives, the utilization of X-Ray images of the Chest (CXR) as a complementary screening technique to RT-PCR testing grows to its…”
    Get full text
    Conference Proceeding
  8. 8

    Document concept lattice for text understanding and summarization by Ye, Shiren, Chua, Tat-Seng, Kan, Min-Yen, Qiu, Long

    Published in Information processing & management (01-11-2007)
    “…We argue that the quality of a summary can be evaluated based on how many concepts in the original document(s) that can be preserved after summarization. Here,…”
    Get full text
    Journal Article
  9. 9

    Recognition of COVID-19 Disease Utilizing X-Ray Imaging of the Chest Using CNN by Hussain, Md Gulzar, Shiren, Ye

    Published 05-09-2021
    “…Since this COVID-19 pandemic thrives, the utilization of X-Ray images of the Chest (CXR) as a complementary screening technique to RT-PCR testing grows to its…”
    Get full text
    Journal Article
  10. 10

    BANSpEmo: A Bangla Emotional Speech Recognition Dataset by Hussain, Md Gulzar, Rahman, Mahmuda, Sultana, Babe, Shiren, Ye

    Published 21-12-2023
    “…In the field of audio and speech analysis, the ability to identify emotions from acoustic signals is essential. Human-computer interaction (HCI) and…”
    Get full text
    Journal Article
  11. 11
  12. 12

    Detecting and Partitioning Data Objects in Complex Web Pages by Shiren Ye, Tat-Seng Chua

    “…This paper presents an automated approach to detect and partition data objects or product description from complex Web pages. First, we derive the common page…”
    Get full text
    Conference Proceeding
  13. 13

    Detecting and Partitioning Data Objects in Complex Web Pages by Ye, Shiren, Chua, Tat-Seng

    “…This paper presents an automated approach to detect and partition data objects or product description from complex Web pages. First, we derive the common page…”
    Get full text
    Conference Proceeding
  14. 14

    Querying and clustering Web pages about persons and organizations by Ye, S., Chua, T.-S., Kei, J.R.

    “…One of the most frequent Web surfing tasks is to search for names of persons and organizations. Such names are often not distinctive, commonly occurring, and…”
    Get full text
    Conference Proceeding