Search Results - "Hwanjo Yu"

Personality Factors Predicting Smartphone Addiction Predisposition: Behavioral Inhibition and Activation Systems, Impulsivity, and Self-Control by Kim, Yejin, Jeong, Jo-Eun, Cho, Hyun, Jung, Dong-Jin, Kwak, Minjung, Rho, Mi Jung, Yu, Hwanjo, Kim, Dai-Jin, Choi, In Young

“…The purpose of this study was to identify personality factor-associated predictors of smartphone addiction predisposition (SAP). Participants were 2,573 men…”
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Discriminative and Distinct Phenotyping by Constrained Tensor Factorization by Kim, Yejin, El-Kareh, Robert, Sun, Jimeng, Yu, Hwanjo, Jiang, Xiaoqian

“…Adoption of Electronic Health Record (EHR) systems has led to collection of massive healthcare data, which creates oppor- tunities and challenges to study…”
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Scalable and parallelizable processing of influence maximization for large-scale social networks? by Jinha Kim, Seung-Keol Kim, Hwanjo Yu

“…As social network services connect people across the world, influence maximization, i.e., finding the most influential nodes (or individuals) in the network,…”
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Phenotyping of Korean patients with better-than-expected efficacy of moderate-intensity statins using tensor factorization by Choi, Jingyun, Kim, Yejin, Kim, Hun-Sung, Choi, In Young, Yu, Hwanjo

“…Several studies have been conducted to evaluate the efficacy of statins in Korean and Asian patients. However, most previous studies only observed the percent…”
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Fast and memory-efficient algorithms for high-order Tucker decomposition by Zhang, Jiyuan, Oh, Jinoh, Shin, Kijung, Papalexakis, Evangelos E., Faloutsos, Christos, Yu, Hwanjo

“…Multi-aspect data appear frequently in web-related applications. For example, product reviews are quadruplets of the form (user, product, keyword, timestamp),…”
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Smartphone dependence classification using tensor factorization by Choi, Jingyun, Rho, Mi Jung, Kim, Yejin, Yook, In Hye, Yu, Hwanjo, Kim, Dai-Jin, Choi, In Young

“…Excessive smartphone use causes personal and social problems. To address this issue, we sought to derive usage patterns that were directly correlated with…”
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Diagnosis prediction of tumours of unknown origin using ImmunoGenius, a machine learning-based expert system for immunohistochemistry profile interpretation by Chong, Yosep, Thakur, Nishant, Lee, Ji Young, Hwang, Gyoyeon, Choi, Myungjin, Kim, Yejin, Yu, Hwanjo, Cho, Mee Yon

“…Immunohistochemistry (IHC) remains the gold standard for the diagnosis of pathological diseases. This technique has been supporting pathologists in making…”
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Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels by Baek Hwan Cho, Hwanjo Yu, Jongshill Lee, Young Joon Chee, In Young Kim, Kim, S.I.

“…Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases…”
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Computer-aided classification of interstitial lung diseases via MDCT: 3D adaptive multiple feature method (3D AMFM) by Xu, Ye, van Beek, Edwin J R, Hwanjo, Yu, Guo, Junfeng, McLennan, Geoffrey, Hoffman, Eric A

“…Computer-aided detection algorithms applied to multidetector row CT (MDCT) lung image data sets have the potential to significantly alter clinical practice…”
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Combining active learning and semi-supervised learning techniques to extract protein interaction sentences by Song, Min, Yu, Hwanjo, Han, Wook-Shin

“…Protein-protein interaction (PPI) extraction has been a focal point of many biomedical research and database curation tools. Both Active Learning and…”
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An efficient method for learning nonlinear ranking SVM functions by Yu, Hwanjo, Kim, Jinha, Kim, Youngdae, Hwang, Seungwon, Lee, Young Ho

“…The problem of learning ranking (or preference) functions has become important in recent years as various applications have been found in information…”
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PEBL: Web page classification without negative examples by Hwanjo Yu, Jiawei Han, Chang, K.C.-C.

“…Web page classification is one of the essential techniques for Web mining because classifying Web pages of an interesting class is often the first step of…”
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A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database by Chong, Yosep, Lee, Ji Young, Kim, Yejin, Choi, Jingyun, Yu, Hwanjo, Park, Gyeongsin, Cho, Mee Yon, Thakur, Nishant

“…Background: Immunohistochemistry (IHC) has played an essential role in the diagnosis of hematolymphoid neoplasms. However, IHC interpretations can be…”
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Collaborative Translational Metric Learning by Park, Chanyoung, Kim, Donghyun, Xie, Xing, Yu, Hwanjo

“…Recently, matrix factorization-based recommendation methods have been criticized for the problem raised by the triangle inequality violation. Although several…”
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Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing by Yu, Hwanjo, Yang, Jiong, Han, Jiawei, Li, Xiaolei

“…Support vector machines (SVMs) have been promising methods for classification and regression analysis due to their solid mathematical foundations, which…”
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Processing SPARQL queries with regular expressions in RDF databases by Lee, Jinsoo, Pham, Minh-Duc, Lee, Jihwan, Han, Wook-Shin, Cho, Hune, Yu, Hwanjo, Lee, Jeong-Hoon

“…As the Resource Description Framework (RDF) data model is widely used for modeling and sharing a lot of online bioinformatics resources such as Uniprot…”
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Deep multiplex graph infomax: Attentive multiplex network embedding using global information by Park, Chanyoung, Han, Jiawei, Yu, Hwanjo

“…Network embedding has recently garnered attention due to the ubiquity of the networked data in the real-world. A network is useful for representing the…”
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Deep hybrid recommender systems via exploiting document context and statistics of items by Kim, Donghyun, Park, Chanyoung, Oh, Jinoh, Yu, Hwanjo

“…The sparsity of user-to-item rating data is one of the major obstacles to achieving high rating prediction accuracy of model-based collaborative filtering (CF)…”
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Harmonized representation learning on dynamic EHR graphs by Lee, Dongha, Jiang, Xiaoqian, Yu, Hwanjo

“…[Display omitted] •Deep learning model for graph representation learning.•Harmonized representation learning for patients, medical events, and medical…”
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RecTime: Real-Time recommender system for online broadcasting by Park, Yoojin, Oh, Jinoh, Yu, Hwanjo

“…Recommender systems for online broadcasting become important as the number of channels has been increasing. In online broadcasting, to provide accurate…”
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