Výsledky vyhledávání - "Doreen Ying Ying Sim"

Detection of Oil Palm Fresh Fruit Bunches (FFBS) with Computer Vision Models

Autor: Zhiyuan Chen, Salma Elsaid, Doreen Ying Ying Sim, Tomas Maul, Iman Yi Liao

Publikováno v: 2022 International Conference on Mechanical, Automation and Electrical Engineering (CMAEE).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::776ab904a7704bde4f1e25abb722b087
https://doi.org/10.1109/cmaee58250.2022.00023

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Pushing Visualization Effects into Pushed Schema Enumerated Tree-Based Support Constraints

Autor: Chee Siong Teh, Ahmad Izuanuddin Ismail, Doreen Ying Ying Sim

Publikováno v: Applied Mechanics and Materials. 892:219-227

Based on the datasets from UCI and Obstructive Sleep Apnea, a disparate methodology of uncovering the visualization effects into the pushed support constraints of schema enumerated tree-based classification techniques is proposed and presented in thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4d10a8ed6c9545ff1798931f1529de2d
https://doi.org/10.4028/www.scientific.net/amm.892.219

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Pushing Constraints by Rule-Driven Pruning Techniques in Non-Uniform Minimum Support for Predicting Obstructive Sleep Apnea

Autor: Doreen Ying Ying Sim, Chee Siong Teh, Ahmad Izuanuddin Ismail

Publikováno v: Applied Mechanics and Materials. 892:210-218

Boosted Association-Ruled Pruned Decision Tree (ARP-DT), the improved version of the Boosted Decision Tree algorithm, was developed by using association-ruled pre-and post-pruning techniques with referring to the pushed minimum support and minimum co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c5519ba594a47ba9b5384d432da5e638
https://doi.org/10.4028/www.scientific.net/amm.892.210

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Improved Boosted Decision Tree Algorithms by Adaptive Apriori and Post-Pruning for Predicting Obstructive Sleep Apnea

Autor: Ismail Ahmad Izuanuddin, Doreen Ying Ying Sim, Chee Siong Teh

Publikováno v: Advanced Science Letters. 24:1680-1684

The improved version of Boosted Decision Tree algorithm, named as Boosted Adaptive Apriori post-Pruned Decision Tree (Boosted AApoP-DT), was developed by referring to Adaptive Apriori (AA) properties and by using post-pruning technique. The post-prun

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5d47ee1ed909e10e33bd7a40fb4861eb
https://doi.org/10.1166/asl.2018.11136

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Improved Boosting Algorithms by Pre-Pruning and Associative Rule Mining on Decision Trees for Predicting Obstructive Sleep Apnea

Autor: Chee Siong Teh, Ahmad Izuanuddin Ismail, Doreen Ying Ying Sim

Publikováno v: Advanced Science Letters. 23:11593-11598

An improved Boosting algorithm, named as Boosted PARM-DT, was developed by pre-pruning techniques and Associative Rule Mining (ARM) on decision trees built from the clinical datasets** collected for Obstructive Sleep Apnea (OSA). The Pruned-Associati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::26a70343714141060dda94f373be0d9b
https://doi.org/10.1166/asl.2017.10335

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Redefining the White-Box of k-Nearest Neighbor Support Vector Machine for Better Classification

Autor: Doreen Ying Ying Sim

Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9789811500572

Distances and similarities among patterns of data points are computed by k-Nearest Neighbor methods after Principal Component Analysis is performed to the ten datasets. Weighted distances are then formulated, computed and adjusted synergistically wit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::15728a6660561b9f9a4ee4e83390aad2
https://doi.org/10.1007/978-981-15-0058-9_16

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Support Vector Machine Pre-pruning Approaches on Decision Trees for Better Classification

Autor: Doreen Ying Ying Sim

Publikováno v: Proceedings of the 2019 2nd International Conference on Electronics and Electrical Engineering Technology.

Incorporation of the structural risk minimization of Support Vector Machine to pre-prune the decision trees based on empirical risk minimization is conducted to develop a combined algorithm. It is named as Support Vector Machine Pruned Decision Trees

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d3abf3f16d121162775c50dbcd98197
https://doi.org/10.1145/3362752.3362763

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Extensive assessment and evaluation methodologies on assistive social robots for modelling human–robot interaction – A review

Autor: Doreen Ying Ying Sim, Chu Kiong Loo

Publikováno v: Information Sciences. 301:305-344

Assessment and evaluation methodologies as well as combinations of them, for modelling of Human-Robot Interaction (HRI), are reviewed extensively and thoroughly in this paper. However, based on the types of robots and the kinds of interactions involv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cf6a989a4ff8b97579ff4266e89efdda
https://doi.org/10.1016/j.ins.2014.12.017

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Prediction Model by Using Bayesian and Cognition-driven Techniques: A Study in the Context of Obstructive Sleep Apnea

Autor: Probir Banerjee, Doreen Ying Ying Sim, Chee Siong Teh

Publikováno v: Procedia - Social and Behavioral Sciences. 97:528-537

This research proposes a mechanism for cost-effective medical diagnostic support for relatively new physical ailments or diseases where there are incomplete data sets available and hence, common parameters are forced to be used for drawing a- priori

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d57c67c510cbeb0a0a74d35b647e9b30
https://doi.org/10.1016/j.sbspro.2013.10.269

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