Comparing spectral fingerprints of neural networks across species

被引：0
|
作者：
de Reus, M. A. [1 ]
de lange, S. C. [1 ]
van den Heuvel, M. P. [1 ]
机构：
[1] UMC Utrecht, Psychiat, Brain Ctr Rudolf Magnus, Utrecht, Netherlands
来源：
EUROPEAN NEUROPSYCHOPHARMACOLOGY | 2014年 / 24卷
关键词：
D O I：
10.1016/S0924-977X(14)70099-9
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
P.4.009
引用
收藏
页码：S87 / S88
页数：3
相关论文
共 50 条
  • [41] Spectral Pruning for Recurrent Neural Networks
    Furuya, Takashi
    Suetake, Kazuma
    Taniguchi, Koichi
    Kusumoto, Hiroyuki
    Saiin, Ryuji
    Daimon, Tomohiro
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151, 2022, 151
  • [42] Spectral Representations for Convolutional Neural Networks
    Rippel, Oren
    Snoek, Jasper
    Adams, Ryan P.
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 28 (NIPS 2015), 2015, 28
  • [43] Spectral Periodic Networks for Neural Rendering
    Paz, Hallison
    Novello, Tiago
    Velho, Luiz
    PROCEEDINGS OF THE SIGGRAPH 2024 POSTERS, 2024,
  • [44] Quantifying and comparing constitutive immunity across avian species
    Millet, Sam
    Bennett, Jennie
    Lee, Kelly A.
    Hau, Michaela
    Klasing, Kirk C.
    DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY, 2007, 31 (02): : 188 - 201
  • [45] Natural product scores and fingerprints extracted from artificial neural networks
    Menke, Janosch
    Massa, Joana
    Koch, Oliver
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 19 : 4593 - 4603
  • [46] NeuralFP: Out-of-distribution Detection using Fingerprints of Neural Networks
    Lee, Wei-Han
    Millman, Steve
    Desai, Nirmit
    Srivatsa, Mudhakar
    Liu, Changchang
    2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 9561 - 9568
  • [47] Recognition of environmental and genetic effects on barley phenolic fingerprints by neural networks
    Gorodkin, J
    Sogaard, B
    Bay, H
    Doll, H
    Kolster, P
    Brunak, S
    COMPUTERS & CHEMISTRY, 2001, 25 (03): : 301 - 307
  • [48] Comparing Neural Networks for Predicting Stock Markets
    Aamodt, Torkil
    Torresen, Jim
    ENGINEERING APPLICATIONS OF NEURAL NETWORKS, EANN 2017, 2017, 744 : 363 - 375
  • [49] Feature Salience for Neural Networks: Comparing Algorithms
    Heinze, Theodor
    von Loewis, Martin
    Polze, Andreas
    NEURAL INFORMATION PROCESSING, ICONIP 2012, PT IV, 2012, 7666 : 415 - 422
  • [50] Comparing ensemble and cascaded neural networks that combine biotic and abiotic variables to predict insect species distribution
    Watts, Michael J.
    Worner, S. P.
    ECOLOGICAL INFORMATICS, 2008, 3 (06) : 354 - 366
12345