Results 51 to 60 of about 2,452,894 (317)

Influence of activation function on loss function. [PDF]

, 2023
Influence of activation function on loss function.
Xiaohong Chen (220164), Yueyue Zhang (410441), Pei Ge (740652)   +2 more
core   +1 more source

Optimizing Activation Function for Parameter Reduction in CNNs on CIFAR-10 and CINIC-10

Applied Sciences
This paper explores a simple CNN architecture used for image classification. Since the first introduction of the CNN idea, LeNet5, CNNs have become the main method for image exploration.
Vasil Vasilev, Vasil Shterev, Maria Nenova   +2 more
doaj   +1 more source

Hyperspectral Image Denoising With Dual Deep CNN

IEEE Access, 2019
A new hyperspectral image denoising algorithm, called the dual deep convolutional neural network (DD-CNN), is proposed in this paper. In contrast to internal denoising methods that utilize only the features from the target noisy image, the DD-CNN ...
Wei Shan, Peng Liu, Lin Mu, Caihong Cao, Guojin He   +4 more
doaj   +1 more source

Learning Combinations of Activation Functions [PDF]

2018 24th International Conference on Pattern Recognition (ICPR), 2018
In the last decade, an active area of research has been devoted to design novel activation functions that are able to help deep neural networks to converge, obtaining better performance. The training procedure of these architectures usually involves optimization of the weights of their layers only, while non-linearities are generally pre-specified and ...
Franco Manessi, Alessandro Rozza
openaire   +2 more sources

Androgen receptor acetylation governs trans activation and MEKK1-induced apoptosis without affecting in vitro sumoylation and trans-repression function [PDF]

, 2014
This work was supported by grants from the NIH (R01CA86072 to R.G.P. and R01CA72038-01 to S.A.W.F.) and The Susan Komen Breast Cancer Foundation (to R.G.P.). R.T.H. and E.J. were supported by the Medical Research Council. Y.-G.Y.
Wang, Jian, Pestell, RG0, Fuqua, Suzanne A W, Wang, Chenguang, Yeung, YG, Hopp, Torsten, Jaffray, E, Chang, Chawnshang, Fu, Maofu, Sakamaki, Toshiyuki, Janne, OA, Zhang, Xueping, Hay, Ronald Thomas, Palvimo, Jorma J   +13 more
core   +1 more source

LRelu-Softplus activation function. [PDF]

, 2023
LRelu-Softplus activation function.
Laiqiang Si (14626911), Zhihao Yun (14626914), Xinwu Du (14626908), Pengfei Li (290581)   +3 more
core   +1 more source

Genomic Diversity and Clinical Variability in Pediatric Primary Cutaneous Anaplastic Large Cell Lymphoma: A Case Series

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary cutaneous anaplastic large cell lymphoma (pcALCL) is a rare pediatric CD30‐positive T‐cell lymphoproliferative disorder with an excellent prognosis, but its genomic drivers are poorly defined. We report three children with skin‐limited disease demonstrating striking molecular heterogeneity, including NPM::ALK, NUP214::FRK, and a novel ...
Shoshana Greenberger, Efrat Bar‐Ilan, Victoria Marcu, Evgeny Grishin, Rinat Yacobi, Aviv Barzilai, Hana Golan, Assaf Arie Barg   +7 more
wiley   +1 more source

Data from: Independent and interactive effects of immune activation and larval diet on adult immune function, growth and development in the greater wax moth (Galleria mellonella) [PDF]

, 2021
Organisms in the wild are likely to face multiple immune challenges as well as additional ecological stressors, yet their interactive effects on immune function are poorly understood.
Krams, Indrikis,University of Tartu, Pölkki, Mari,University of Turku, Krama, Tatjana,Daugavpils University, Valtonen, Terhi M.,University of Turku, Kecko, Sanita,Daugavpils University, Kangassalo, Katariina,University of Turku, Sorvari, Jouni,University of Eastern Finland, Rantala, Markus J.,University of Turku   +7 more
core   +1 more source

Influence of the Neural Network Hyperparameters on its Numerical Conditioning

Цифровая трансформация, 2020
In this paper, the task of assessment of numerical conditioning of multilayer perceptron, forecasting time series with sliding window method, has been considered. Performance of the forecasting perceptron with various hyperparameters sets, with different
S. V. Sholtanyuk
doaj  

Central Nervous System Neuroblastoma, FOXR2‐Activated: A Pooled Analysis of Published Clinical Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan, Mohamed S. Abdelbaki   +1 more
wiley   +1 more source