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順位 タイトル
著者 雑誌 巻 号 ページ 年 PKVアクセス数
13951 CAOM: A community-based approach to tackle opinion maximization for social networks
Qiang He, Xingwei Wang, Fubing Mao, Jianhui Lv, Yuliang Cai, Min Huang, Qingzheng Xu Information Sciences 513 None 252–269 2020 4.0
平均評価: / 5 ( 件のレビュー)
13952 Ternary reversible number-conserving cellular automata are trivial
Barbara Wolnik, Bernard De Baets Information Sciences 513 None 180–189 2020 4.0
平均評価: / 5 ( 件のレビュー)
13953 Robust fitting for the Sugeno integral with respect to general fuzzy measures
Gleb Beliakov, Marek Gagolewski, Simon James Information Sciences 514 None 449–461 2020 4.0
平均評価: / 5 ( 件のレビュー)
13954 3DACN: 3D Augmented convolutional network for time series data
Songwen Pei, Tianma Shen, Xianrong Wang, Chunhua Gu, Zhong Ning, Xiaochun Ye, Naixue Xiong Information Sciences 513 None 17–29 2020 4.0
平均評価: / 5 ( 件のレビュー)
13955 On graph entropy measures based on the number of independent sets and matchings
Pengfei Wan, Xinzhuang Chen, Jianhua Tu, Matthias Dehmer, Shenggui Zhang, Frank Emmert-Streib Information Sciences 516 None 491–504 2020 4.0
平均評価: / 5 ( 件のレビュー)
13956 Attention-aware perceptual enhancement nets for low-resolution image classification
Xiaobin Zhu, Zhuangzi Li, Xianbo Li, Shanshan Li, Feng Dai Information Sciences 515 None 233–247 2020 4.0
平均評価: / 5 ( 件のレビュー)
13957 A new self-paced method for multiple instance boosting learning
Yanshan Xiao, Xiaozhou Yang, Bo Liu Information Sciences 515 None 80–90 2020 4.0
平均評価: / 5 ( 件のレビュー)
13958 On matching of intuitionistic fuzzy sets
Maciej Krawczak, Grażyna Szkatuła Information Sciences 517 None 254–274 2020 4.0
平均評価: / 5 ( 件のレビュー)
13959 Secure distributed estimation against false data injection attack
Yi Hua, Feng Chen, Shuwei Deng, Shukai Duan, Lidan Wang Information Sciences 515 None 248–262 2020 4.0
平均評価: / 5 ( 件のレビュー)
13960 Restoring incomplete PUMLPRs for evaluating the management way of online public opinion
Wanying Xie, Zeshui Xu, Zhiliang Ren, Enrique Herrera Viedma Information Sciences 516 None 72–88 2020 4.0
平均評価: / 5 ( 件のレビュー)