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Jubilee Review: The 65 Years of the ASME Machine Design Award (1958–2023)
| 順位 | タイトル | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 著者 | 雑誌 | 巻 | 号 | ページ | 年 | PKVアクセス数 | |||
| 151 | Direction Matters: On Influence-Preserving Graph Summarization and Max-Cut Principle for Directed Graphs | ||||||||
| Wenkai Xu, Gang Niu, Aapo Hyvärinen, Masashi Sugiyama | Neural Computation | 33 | 8 | 2128–2162 | 2021 | 46.2 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 152 | Learning Simpler Language Models with the Differential State Framework | ||||||||
| Alexander G. Ororbia II, Tomas Mikolov, David Reitter | Neural Computation | 29 | 12 | 3327–3352 | 2017 | 46.05 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 153 | Column Row Convolutional Neural Network: Reducing Parameters for Efficient Image Processing | ||||||||
| Seongil Im, Jae-Seung Jeong, Junseo Lee, Changhwan Shin, Jeong Ho Cho | Neural Computation | 36 | 4 | 744–758 | 2024 | 45.91 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 154 | A Mathematical Framework for Statistical Decision Confidence | ||||||||
| Balázs Hangya, Joshua I. Sanders, Adam Kepecs | Neural Computation | 28 | 9 | 1840–1858 | 2016 | 45.69 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 155 | Fast and Accurate Langevin Simulations of Stochastic Hodgkin-Huxley Dynamics | ||||||||
| Shusen Pu, Peter J. Thomas | Neural Computation | 32 | 10 | 1775–1835 | 2020 | 45.59 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 156 | Attractor-Based Models for Sequences and Pattern Generation in Neural Circuits | ||||||||
| Juliana Londono Alvarez, Katherine Morrison, Carina Curto | Neural Computation | 38 | 3 | 257–291 | 2026 | 45.55 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 157 | On the Mathematical Consequences of Binning Spike Trains | ||||||||
| Bruno Cessac, Arnaud Le Ny, Eva Löcherbach | Neural Computation | 29 | 1 | 146–170 | 2017 | 45.5 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 158 | Measuring Stimulus Information Transfer Between Neural Populations Through the Communication Subspace | ||||||||
| Oren Weiss, Ruben Coen-Cagli | Neural Computation | 37 | 9 | 1600–1647 | 2025 | 45.46 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 159 | Use of a Deep Belief Network for Small High-Level Abstraction Data Sets Using Artificial Intelligence with Rule Extraction | ||||||||
| Yoichi Hayashi | Neural Computation | 30 | 12 | 3309–3326 | 2018 | 45.04 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 160 | Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation | ||||||||
| Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Hideki Kandori, Ichiro Takeuchi | Neural Computation | 32 | 10 | 1998–2031 | 2020 | 44.99 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||