Search Results - "Kumar, Yogan Jaya"

A Comprehensive Survey of Graph Neural Networks for Knowledge Graphs by Ye, Zi, Kumar, Yogan Jaya, Sing, Goh Ong, Song, Fengyan, Wang, Junsong

“…The Knowledge graph, a multi-relational graph that represents rich factual information among entities of diverse classifications, has gradually become one of…”
Get full text

An Optimally Configured and Improved Deep Belief Network (OCI-DBN) Approach for Heart Disease Prediction Based on Ruzzo-Tompa and Stacked Genetic Algorithm by Ali, Syed Arslan, Raza, Basit, Malik, Ahmad Kamran, Shahid, Ahmad Raza, Faheem, Muhammad, Alquhayz, Hani, Kumar, Yogan Jaya

“…A rapid increase in heart disease has occurred in recent years, which might be the result of unhealthy food, mental stress, genetic issues, and a sedentary…”
Get full text

Bi-DCNet: Bilateral Network with Dilated Convolutions for Left Ventricle Segmentation by Ye, Zi, Kumar, Yogan Jaya, Song, Fengyan, Li, Guanxi, Zhang, Suyu

“…Left ventricular segmentation is a vital and necessary procedure for assessing cardiac systolic and diastolic function, while echocardiography is an…”
Get full text

Improving text summarization using neuro-fuzzy approach by Azhari, Muhammad, Jaya Kumar, Yogan

“…In today's digital era, it becomes a challenge for netizens to find specific information on the internet. Many web-based documents are retrieved and it is not…”
Get full text

A framework for multi-document abstractive summarization based on semantic role labelling by Khan, Atif, Salim, Naomie, Jaya Kumar, Yogan

“…•We have proposed a framework for multi-document abstractive summarization based on semantic role labeling (SRL). To the best of our knowledge, SRL has not…”
Get full text

PFSA-ID: an annotated Indonesian corpus and baseline model of public figures statements attributions by Purnomo W.P., Yohanes Sigit, Kumar, Yogan Jaya, Zulkarnain, Nur Zareen

“…Purpose By far, the corpus for the quotation extraction and quotation attribution tasks in Indonesian is still limited in quantity and depth. This study aims…”
Get full text

Classification of Echocardiographic Standard Views Using a Hybrid Attention-based Approach by Ye, Zi, Jaya Kumar, Yogan, Ong Sing, Goh, Song, Fengyan, Ni, Xianda

Get full text

Autonomic workload performance tuning in large-scale data repositories by Raza, Basit, Sher, Asma, Afzal, Sana, Malik, Ahmad Kamran, Anjum, Adeel, Kumar, Yogan Jaya, Faheem, Muhammad

“…The workload in large-scale data repositories involves concurrent users and contains homogenous and heterogeneous data. The large volume of data, dynamic…”
Get full text

Understanding quotation extraction and attribution: towards automatic extraction of public figure’s statements for journalism in Indonesia by Purnomo W.P, Yohanes Sigit, Kumar, Yogan Jaya, Zulkarnain, Nur Zareen

“…Purpose Extracting information from unstructured data becomes a challenging task for computational linguistics. Public figure’s statement attributed by…”
Get full text

Extraction and attribution of public figures statements for journalism in Indonesia using deep learning by Purnomo W.P., Yohanes Sigit, Kumar, Yogan Jaya, Zulkarnain, Nur Zareen, Raza, Basit

“…•Public figures' statements in news articles are valuable.•Named entity recognition could be used to extract and attribute the public figure's statements.•RNN…”
Get full text

Performance prediction and adaptation for database management system workload using Case-Based Reasoning approach by Raza, Basit, Kumar, Yogan Jaya, Malik, Ahmad Kamran, Anjum, Adeel, Faheem, Muhammad

“…•We develop autonomic framework for workload performance tuning.•Predictions are based on workload information available in advance before execution.•Many…”
Get full text

Readability Evaluation Metrics for Indonesian Automatic Text Summarization: A Systematic Review by Maylawati, Dian Sa’adillah, Kumar, Yogan Jaya, Kasmin, Fauziah Binti, Ramdhani, Muhammad Ali

Get full text

Multi document summarization based on news components using fuzzy cross-document relations by Kumar, Yogan Jaya, Salim, Naomie, Abuobieda, Albaraa, Albaham, Ameer Tawfik

“…•Multi-document summarization based on news component.•Cross document relation identification using Genetic-CBR approach.•Fuzzy reasoning for sentence…”
Get full text

Cross-document structural relationship identification using supervised machine learning by Kumar, Yogan Jaya, Salim, Naomie, Raza, Basit

“…[Display omitted] ► Supervised machine learning for CST relationship identification. ► Identify four relationship types namely “Identity”, “Overlap”,…”
Get full text

Genetic semantic graph approach for multi-document abstractive summarization by Khan, Atif, Salim, Naomie, Kumar, Yogan Jaya

“…The aim of automatic multi-document abstractive summarization is to create a compressed version of the source text and preserves the salient information…”
Get full text

MedKiosk: An embodied conversational intelligence via deep learning by Leong, Pui Huang, Goh, Ong Sing, Kumar, Yogan Jaya

“…Today, rapid advancement and innovation of technology has changed the perspective and the way information precedes. The utilization of self-service interactive…”
Get full text

A Hybrid Adaptive Neuro-Fuzzy Inference System (ANFIS) Approach for Professional Bloggers Classification by Asim, Yousra, Raza, Basit, Malik, Ahmad Kamran, Shahid, Ahmad R., Faheem, Muhammad, Kumar, Yogan Jaya

“…Despite their small numbers, some users of the online social networks demonstrate the ability to influence others. Bloggers are one of such kind of users that…”
Get full text

Developing diabetes ketoacidosis prediction using ANFIS model by Saraswati, Galuh Wilujeng, Choo, Yun-Huoy, Kumar, Yogan Jaya

“…This paper proposes the adaptive Neuro-fuzzy Inference System (ANFIS) to construct a diabetic ketoacidosis prediction model. Diabetic ketoacidosis results in…”
Get full text

Multi document summarization based on cross-document relation using voting technique by Kumar, Yogan Jaya, Salim, Naomie, Abuobieda, Albaraa, Tawfik, Ameer

“…News articles which are available through online search often provide readers with large collection of texts. Especially in the case of news story, different…”
Get full text

Text summarization features selection method using pseudo Genetic-based model by Abuobieda, A., Salim, N., Albaham, A. T., Osman, A. H., Kumar, Y. J.

“…The features are considered the cornerstone of text summarization. The most important issue is what feature to be considered in a text summarization process…”
Get full text