31 | Neopepsee: accurate genome-level prediction of neoantigens by harnessing sequence and amino acid immunogenicity information Kim, S.; Kim, H. S.; Kim, F.; Lee, M. G.; Shin, Eui-Cheol; Paik, S.; Kim, S., ANNALS OF ONCOLOGY, v.29, no.4, pp.1030 - 1036, 2018-04 |
32 | Network-based classification of breast cancer metastasis Chuang, HY; Lee, E; Liu, YT; Lee, Doheon; Ideker, T, MOLECULAR SYSTEMS BIOLOGY, v.3, pp.1073 - 1083, 2007-10 |
33 | New parameters for classifying digitally modulated unknown QAM and PSK signals Kim, BS; Lee, Hwang Soo, IEICE TRANSACTIONS ON COMMUNICATIONS, v.E84B, no.2, pp.325 - 329, 2001-02 |
34 | Online Remaining Useful Life Prediction for Lithium-Ion Batteries Using Partial Discharge Data Features Ali, Muhammad Umair; Zafar, Amad; Nengroo, Sarvar Hussain; Hussain, Sadam; Park, Gwan-Soo; Kim, Hee-Je, ENERGIES, v.12, no.22, 2019-11 |
35 | Pattern Classification With Class Probability Output Network Park W.J.; Kil, Rhee Man, IEEE TRANSACTIONS ON NEURAL NETWORKS, v.20, no.10, pp.1659 - 1673, 2009 |
36 | Pattern classifiers based on conditional class probabilities = 조건부 클래스 확률에 기초한 패턴 분류기link Park, Woon-Jeung; 박운정; et al, 한국과학기술원, 2010 |
37 | Performance improvement of music mood classification using hyper music features = 상위 레벨 음악 특성을 사용한 음악 감정 분류 성능 향상link Choi, Ka-Hyun; 최가현; et al, 한국과학기술원, 2010 |
38 | PLIB 파트 42를 이용한 자동차 부품의 데이터 사전 = A data dictionary for automotive parts based on PLIB part42link 김영범; Kim, Young-Bum; et al, 한국과학기술원, 2001 |
39 | Possibilistic support vector machines Lee, K; Kim, DW; Lee, Kwang-Hyung; Lee, Doheon, PATTERN RECOGNITION, v.38, pp.1325 - 1327, 2005-08 |
40 | Predicting corporate defaults using machine learning with geometric-lag variables Kim, Hyeongjun; Cho, Hoon; Ryu, Doojin, INVESTMENT ANALYSTS JOURNAL, v.50, no.3, pp.161 - 175, 2021-07 |
41 | Prediction of highly imbalanced semiconductor chip-level defects using uncertainty-based adaptive margin learning Park, Sumin; Kim, Keunseo; Kim, Heeyoung, IISE TRANSACTIONS, v.55, no.2, pp.147 - 155, 2022-11 |
42 | PUBLIC: A decision tree classifier that integrates building and pruning Rastogi, Rajeev; Shim, Kyuseok, DATA MINING AND KNOWLEDGE DISCOVERY, v.4, no.4, 2000-10 |
43 | Relevance feedback using adaptive clustering for image similarity retrieval Kim, DH; Chung, Chin-Wan; Barnard, K, JOURNAL OF SYSTEMS AND SOFTWARE, v.78, no.1, pp.9 - 23, 2005-10 |
44 | Screening of indigenous microbiological resources for environmental remediation and classification of novel strains = 환경복원용 토착미생물의 확보 및 발견된 새로운 균주의 분류link Kim, Kwang-Kyu; 김광규; et al, 한국과학기술원, 2007 |
45 | Sparse ordinal discriminant analysis Han, Sangil; Kim, Minwoo; Jung, Sungkyu; Ahn, Jeongyoun, BIOMETRICS, v.80, no.1, 2024-01 |
46 | Specificity of molecular interactions in transient protein-protein interaction interfaces Cho, KI; Lee, K; Lee, Kwang-Hyung; Kim, Dongsup; Lee, Doheon, PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, v.65, pp.593 - 606, 2006-11 |
47 | Support vector based classification for bio-data mining = 바이오 데이터 마이닝을 위한 서포트 벡터 기반 분류link Lee, Ki-Young; 이기영; et al, 한국과학기술원, 2006 |
48 | Support vector machines with adaptive L-q penalty Liu, Yufeng; Zhang, Hao Helen; Park, Cheolwoo; Ahn, Jeongyoun, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.51, no.12, pp.6380 - 6394, 2007-08 |
49 | The classification of finite dimensional semisimple Lie algebras over complex numbers = 유한차원 반단순 리 대수의 분류link Lim, Sang-Seob; 임상섭; et al, 한국과학기술원, 2011 |
50 | The ILAE consensus classification of focal cortical dysplasia: An update proposed by an ad hoc task force of the ILAE diagnostic methods commission Najm, Imad; Lal, Dennis; Alonso Vanegas, Mario; Cendes, Fernando; Lopes-Cendes, Iscia; Palmini, Andre; Paglioli, Eliseu; et al, EPILEPSIA, v.63, no.8, pp.1899 - 1919, 2022-08 |
51 | Toward a better definition of focal cortical dysplasia: An iterative histopathological and genetic agreement trial Bluemcke, Ingmar; Coras, Roland; Busch, Robyn M.; Morita-Sherman, Marcia; Lal, Dennis; Prayson, Richard; Cendes, Fernando; et al, EPILEPSIA, v.62, no.6, pp.1416 - 1428, 2021-06 |
52 | Uncertain data classification using support vector machines = 서포트 벡터 머신을 이용한 불확실한 데이터의 이분류link Simons, Guilhelm; Shin, Ha-Yong; et al, 한국과학기술원, 2011 |
53 | Uncertain data classification using support vector machines = 서포트 벡터 머신을 이용한 불확실한 데이터의 이분류link Simons, Guilhelm; Shin, Ha-Yong; et al, 한국과학기술원, 2011 |
54 | 고품질 슬라이드 선별을 위한 지식구조 기반 분류 기법 정원철; 김성찬; 이문용, 정보과학회 컴퓨팅의 실제 논문지, v.20, no.12, pp.676 - 681, 2014-12 |
55 | 분류 기법과 단서구문 학습 모델을 이용한 인과관계 지식추출 자동화 연구 = Causality extraction using classification and incremental cue phrase learninglink 장두성; Chang, Du-Seong; et al, 한국과학기술원, 2005 |
56 | 초기 소량 데이터와 RNN을 활용한 루머 전파 추적 기법 권세정; 차미영, 정보과학회논문지, v.44, no.7, pp.680 - 685, 2017-07 |
57 | 층화 샘플링을 이용한 결정 트리의 효율적인 구성 방법 = Enfficient construction of decision trees using stratified samplinglink 정문영; Chung, Moon-Young; et al, 한국과학기술원, 2001 |