CiNii Articles - ensemble learning

1

Uncertain Nonlinear Process Monitoring Using Interval Ensemble Kernel Principal Component Analysis

Wang Xianrui , Zhao Guoxin , Liu Yu , Yang Shujie

… To improve the IKPCA algorithm, interval ensemble kernel principal component analysis (IEKPCA) is proposed. … Ensemble learning is incorporated in the IEKPCA algorithm to build submodels with different width parameters. …

Journal of Advanced Computational Intelligence and Intelligent Informatics 25(1), 101-109, 2021

J-STAGE
2

Deep Learning for Osteoporosis Classification Using Hip Radiographs and Patient Clinical Covariates

Yamamoto Norio , Sukegawa Shintaro , Kitamura Akira , Goto Ryosuke , Noda Tomoyuki , Nakano Keisuke , Takabatake Kiyofumi , Kawai Hotaka , Nagatsuka Hitoshi , Kawasaki Keisuke , Furuki Yoshihiko , Ozaki Toshifumi

… This study considers the use of deep learning to diagnose osteoporosis from hip radiographs, and whether adding clinical data improves diagnostic performance over the image mode alone. … We also investigated ensemble models with clinical covariates added to each CNN. … Among the five ensemble models, EfficientNet b3 exhibited the best accuracy, recall, npv, F1 score, and AUC score when patient variables were included. …

Biomolecules 10(11), 1534, 2020-11-10

IR
3

Wavelet Transform and Machine Learning-Based Biometric Authentication Using EEG Evoked by Invisible Visual Stimuli

Miyake Takahiro , Kinjo Nozomu , Nakanishi Isao

… In this paper, we introduce a machine learning-based approach in order to further improve the verification performance. … An EER of 8.1 % is achieved by the proposed method after training the constituent neural networks using ensemble learning with 30 networks. …

Proceedings of the 2020 IEEE Region 10 Conference (TENCON2020), 2020-11

IR
4

Improving Adversarial Robustness on Face Recognition Systems [in Japanese]

天田拓磨 , 柿崎和也 , リュウセンペイ , 古川潤 , 荒木俊則 , ジョセフケシェット

コンピュータセキュリティシンポジウム2020論文集, 129-136, 2020-10-19

IPSJ
5

Privacy-Preserving XGBoost Introducing Federated Learning Scheme [in Japanese]

山本楓己 , 王立華 , 小澤誠一

コンピュータセキュリティシンポジウム2020論文集, 228-235, 2020-10-19

IPSJ
6

An Oblivious Inference Protocol for Decision Tree Ensembles with Model and Privacy Protection [in Japanese]

稲毛康太 , 橋本昌宜 , 上野嶺 , 粟野皓光 , 本間尚文

コンピュータセキュリティシンポジウム2020論文集, 396-403, 2020-10-19

IPSJ
7

Gradient Boosting Decision Tree Ensemble Learning for Malware Binary Classification

Yun Gao , Hirokazu Hasegawa , Yukiko Yamaguchi , Hajime Shimada

コンピュータセキュリティシンポジウム2020論文集, 589-595, 2020-10-19

IPSJ
8

Static Analysis Based Malware Detection Using Ensemble Neural Networks [in Japanese]

樋川卓也

コンピュータセキュリティシンポジウム2020論文集, 632-636, 2020-10-19

IPSJ
9

Enhanced Resistance to Evasion Attack of an Attack Detection Method on Internal Networks Using Tensor Data Expansion [in Japanese]

宍戸克成 , 森川郁也 , 及川孝徳 , 海野由紀

コンピュータセキュリティシンポジウム2020論文集, 1194-1201, 2020-10-19

IPSJ
10

Data science-based modeling of the lysine fermentation process

Tokuyama Kento , Shimodaira Yoshiki , Terawaki Takahiro , Kusunose Yasuhiro , Nakai Hiroaki , Tsuji Yuichiro , Toya Yoshihiro , Matsuda Fumio , Shimizu Hiroshi

Journal of bioscience and bioengineering 130(4), 409-415, 2020-10

DOI
11

A Consideration about Rough Sets, the Apriori Algorithm, Ensemble Learning, and Explainable AI [in Japanese]

簡志文 , 前田斗志 , 酒井浩 , 中田典規 , Hossain T. M. , 和多田淳三

ファジィシステムシンポジウム講演論文集 36, 463-467, 2020-09-07
12

Automatic Extraction of Evocations by Predicting Model of Next Posts [in Japanese]

内田脩斗 , 吉川大弘 , 古橋武

… So, in this paper, we try an extraction method of evocation relations using unsupervised learning. … As a result, it shows that the performance of the proposed model is as high as or higher than that of the conventional one, and it can be further improved by their ensemble. …

情報処理学会論文誌数理モデル化と応用（TOM） 13(2), 1-9, 2020-08-28

IPSJ
13

A study on an expressive activity with musical instruments (percussion instruments) and educational practices involving that activity in a childcare provider training course : Perspectives on collaboration to teach about musical instruments in early music [in Japanese]

氏家史人

… Training courses for preschool teachers and nursery workers tend to emphasize playing the piano or singing along while playing, but learning about musical expression using percussion instruments is also a crucial activity involving musical expression. … Results revealed variations in terms of awareness and knowledge of how to play and how to teach percussion instruments and an ensemble of instruments. …

日本体育大学紀要 = Bulletin of Nippon Sport Science University 49, 1075-1088, 2020-08

IR
14

QUALITY PREDICTION MODELING OF PLASTIC EXTRUSION PROCESS

CHO EUNNURI , JUN JI-HYE , CHANG TAI-WOO , CHOI YERIM

ICIC express letters. Part B, Applications : an international journal of research and surveys 11(5), 447-452, 2020-05
15

Improving LP gas cylinder delivery using ensemble learning and combinatorial optimization [in Japanese]

村上英治 , 土岐爽真

azbil technical review = azbilテクニカルレビュー : 山武グループ技術研究報告書 (61), 24-28, 2020-04
16

Random forest algorithm for PV power forecasting and comparison with support vector regression [in Japanese]

王旭成 , 近藤潤次

電気学会研究会資料. PSE = The papers of Technical Meeting on "Power Systems Engineering", IEE Japan 2020(6・7・9-22・24-28), 37-42, 2020-03-05
17

Random forest algorithm for PV power forecasting and comparison with support vector regression [in Japanese]

王旭成 , 近藤潤次

電気学会研究会資料. PE 2020(1・2・4-17・19-23), 37-42, 2020-03-05
18

太陽光発電出力予測におけるランダムフォレスト法とサポートベクトル回帰法との比較 (電力技術電力系統技術半導体電力変換合同研究会・電力技術一般、電力系統技術一般、半導体電力変換一般) [in Japanese]

王旭成 , 近藤潤次

電気学会研究会資料. SPC = The papers of technical meeting on semiconductor power converter, IEE Japan 2020(55・56・58-71・73-77), 37-42, 2020-03-05
19

Investigation of diagnostic support system for portable chest X-ray images by two-step classification using ensemble learning [in Japanese]

堂園貴弘 , 吉村裕一郎 , 新井久美子 , 中田孝之 , 織田成人 , 中口俊哉

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 119(454), 89-92, 2020-03-05
20

Investigation of diagnostic support system for portable chest X-ray images by two-step classification using ensemble learning [in Japanese]

堂園貴弘 , 吉村裕一郎 , 新井久美子 , 中田孝之 , 織田成人 , 中口俊哉

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 119(457), 89-92, 2020-03-05

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