標題: Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2018; 27th International C Věra K?rková,Yannis Manolopoulos,Ilias Maglogianni Confe [打印本頁] 作者: TOUT 時間: 2025-3-21 20:00
書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018影響因子(影響力)
書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018影響因子(影響力)學科排名
書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018網(wǎng)絡公開度
書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018網(wǎng)絡公開度學科排名
書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018被引頻次
書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018被引頻次學科排名
書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018年度引用
書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018年度引用學科排名
書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018讀者反饋
書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018讀者反饋學科排名
作者: 遺傳 時間: 2025-3-21 20:34
https://doi.org/10.1007/978-3-322-97075-6rage correct recognition rate of LDP on Pollenmonitor dataset is 90.95%, which is much higher than that of other compared pollen recognition methods. The experimental results show that our method is more suitable for the practical classification and identification of pollen images than compared methods.作者: 使聲音降低 時間: 2025-3-22 00:24
Rezeption von Fernsehnachrichten im Wandelof patterns what was unachievable for convolutional layers. The new network concept has been confirmed by verification of its ability to perform typical image affine transformations such as translation, scaling and rotation.作者: Exterior 時間: 2025-3-22 07:07 作者: 收養(yǎng) 時間: 2025-3-22 08:45
A Novel Echo State Network Model Using Bayesian Ridge Regression and Independent Component Analysiselve combinations of four other regression models and three different choices of dimensionality reduction techniques, and measure its running time. Experimental results show that our model significantly outperforms other state-of-the-art ESN prediction models while maintaining a satisfactory running time.作者: 收到 時間: 2025-3-22 14:29 作者: jabber 時間: 2025-3-22 18:16
New Architecture of Correlated Weights Neural Network for Global Image Transformationsof patterns what was unachievable for convolutional layers. The new network concept has been confirmed by verification of its ability to perform typical image affine transformations such as translation, scaling and rotation.作者: 違法事實 時間: 2025-3-22 23:56 作者: Proponent 時間: 2025-3-23 02:50 作者: 慷慨不好 時間: 2025-3-23 09:19 作者: 颶風 時間: 2025-3-23 10:43
https://doi.org/10.1007/978-3-658-01228-1assify the results. Experiments show that the proposed method can effectively improve the classification effect, and the results can help doctors to utilize the CT images to achieve reliable non-invasive disease diagnosis.作者: cushion 時間: 2025-3-23 17:45 作者: MEAN 時間: 2025-3-23 21:22
https://doi.org/10.1007/978-3-658-01228-1r EEG signals from the CHB-MIT public database. The proposed method has achieved up to 98% of sensitivity, 88% of specificity and 91% of accuracy. For each subsequence of EEG data received, the system takes less than one second to estimate the patient state, regarding the possibility of an impending seizure.作者: PARA 時間: 2025-3-23 23:53
https://doi.org/10.1007/978-3-658-01228-1ent (ME) strategy for image preprocessing. Owing to the lack of suitable public dataset, we introduce a CT image dataset of bone tumor. Experimental results on this dataset show our SG-CNN and ME strategy improve the classification accuracy obviously.作者: 暴露他抗議 時間: 2025-3-24 04:17
https://doi.org/10.1007/978-3-658-01228-1put to DeepLab for segmentation. This work is evaluated on two datasets: 3Dircadb and MICCAI-Sliver07. Compared with the state-of-the-art automatic methods, our approach has achieved better performance in terms of VOE, RVD, ASD and total score.作者: 流浪 時間: 2025-3-24 07:13 作者: 小鹿 時間: 2025-3-24 12:38 作者: inhibit 時間: 2025-3-24 15:25 作者: 珊瑚 時間: 2025-3-24 22:03 作者: octogenarian 時間: 2025-3-25 00:43 作者: corpuscle 時間: 2025-3-25 07:04
Classification of Bone Tumor on CT Images Using Deep Convolutional Neural Networkent (ME) strategy for image preprocessing. Owing to the lack of suitable public dataset, we introduce a CT image dataset of bone tumor. Experimental results on this dataset show our SG-CNN and ME strategy improve the classification accuracy obviously.作者: facilitate 時間: 2025-3-25 08:52 作者: Encapsulate 時間: 2025-3-25 13:21
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasoundeach an accuracy substantially superior to previously proposed methods, providing an average reduction of the mean squared error from . (state-of-art) to ., and a relative error reduction from . to .. The mean execution speed of the proposed approach of 289 frames per second makes it suitable for real time clinical use.作者: 暴露他抗議 時間: 2025-3-25 19:47 作者: HAUNT 時間: 2025-3-25 22:50
Fernsehgewalt im gesellschaftlichen Kontexttechniques can be used to identify neurons causing collinearity among LMS regression basis. Such neurons may be eliminated or modified to increase the numerical rank of the matrix which is pseudo-inverted while solving LMS regression.作者: 空中 時間: 2025-3-26 01:26
https://doi.org/10.1007/978-3-322-97075-6ely independent of the spatial frequency in grating experiments which enables insects to estimate the flight speed in cluttered environments. This also coincides with the behaviour experiments of honeybee flying through tunnels with stripes of different spatial frequencies.作者: 難管 時間: 2025-3-26 05:03 作者: 象形文字 時間: 2025-3-26 11:25 作者: 幻想 時間: 2025-3-26 14:14 作者: stress-response 時間: 2025-3-26 17:46 作者: Motilin 時間: 2025-3-27 00:45 作者: 極力證明 時間: 2025-3-27 03:12
An Original Neural Network for Pulmonary Tuberculosis Diagnosis in Radiographsk system for TB diagnosis, combining preprocessing, lung segmentation, feature extraction and classification. We achieved accuracy of 0.961 in our labeled dataset, 0.923 and 0.890 on Shenzhen and Montgomery Public Dataset respectively, demonstrating our work outperformed the state-of-the-art methods in this area.作者: 逃避系列單詞 時間: 2025-3-27 05:31
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162641.jpg作者: Barter 時間: 2025-3-27 13:13 作者: 涂掉 時間: 2025-3-27 17:27
Fernsehgewalt im gesellschaftlichen Kontextining input domain into the output space of hidden neurons) which provides the basis for linear mean square (LMS) regression problem. The conditioning of this problem is the important factor influencing ELM implementation and accuracy. It is demonstrated that rank-revealing orthogonal decomposition 作者: RENIN 時間: 2025-3-27 21:09 作者: Minuet 時間: 2025-3-27 22:41 作者: freight 時間: 2025-3-28 05:39
https://doi.org/10.1007/978-3-322-97075-6odel implements both preferred direction motion enhancement and non-preferred direction motion suppression which is discovered in Drosophila’s visual neural circuits recently to give a stronger directional selectivity. In addition, the angular velocity detecting model (AVDM) produces a response larg作者: 小卒 時間: 2025-3-28 09:21 作者: Misnomer 時間: 2025-3-28 13:06 作者: Intact 時間: 2025-3-28 15:07
Zwischen Konkurrenz und Konvergenzthods to classify video human activities, not without certain disadvantages such as computational cost, dataset specificity or low resistance to noise, among others. In this paper, we propose the use of the Normalized Compression Distance (NCD), as a complementary approach to identify video-based HA作者: BRIDE 時間: 2025-3-28 20:39 作者: backdrop 時間: 2025-3-29 00:24
Methoden der Fernsehnachrichtenforschungble prediction of growing of atherosclerotic plaques could be very important part of early diagnostics to judge potential impact of the plaque and to decide necessity of immediate artery recanalization. For this pilot study we have a large set of measured data from total of 482 patients. For each pa作者: 骨 時間: 2025-3-29 04:28
https://doi.org/10.1007/978-3-658-01228-1ypes of pancreatic cystic neoplasms by using Computed Tomography (CT) images. Especially for serous cystic neoplasms (SCNs) and mucinous cystic neoplasms (MCNs), doctors hardly distinguish one from the other by the naked eyes owing to the high similarities between them. In this work, a multi-channel作者: 惰性氣體 時間: 2025-3-29 09:33 作者: ALTER 時間: 2025-3-29 13:20 作者: characteristic 時間: 2025-3-29 16:29 作者: 不遵守 時間: 2025-3-29 22:40 作者: Chameleon 時間: 2025-3-30 03:10 作者: 淡紫色花 時間: 2025-3-30 05:14 作者: ITCH 時間: 2025-3-30 08:12 作者: 擋泥板 時間: 2025-3-30 16:22 作者: GOAT 時間: 2025-3-30 17:12 作者: Dorsal 時間: 2025-3-30 21:03
Artificial Neural Networks and Machine Learning – ICANN 201827th International C作者: 嬰兒 時間: 2025-3-31 02:29 作者: 白楊 時間: 2025-3-31 06:49 作者: UNT 時間: 2025-3-31 11:23 作者: 善辯 時間: 2025-3-31 14:59
0302-9743 mation and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and 978-3-030-01420-9978-3-030-01421-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 勉勵 時間: 2025-3-31 19:41
Rank-Revealing Orthogonal Decomposition in Extreme Learning Machine Designining input domain into the output space of hidden neurons) which provides the basis for linear mean square (LMS) regression problem. The conditioning of this problem is the important factor influencing ELM implementation and accuracy. It is demonstrated that rank-revealing orthogonal decomposition 作者: 搏斗 時間: 2025-3-31 22:12
An Improved CAD Framework for Digital Mammogram Classification Using Compound Local Binary Pattern ar is identified at its early stage. A Computer-aided diagnosis (CAD) system is an efficient computerized tool used to analyze the mammograms for finding cancer in the breast and to reach a decision with maximum accuracy. The presented work aims at developing a CAD model which can classify the mammog
