標(biāo)題: Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable [打印本頁] 作者: 相似 時間: 2025-3-21 18:08
書目名稱Neural Information Processing影響因子(影響力)
書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名
書目名稱Neural Information Processing網(wǎng)絡(luò)公開度
書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Neural Information Processing被引頻次
書目名稱Neural Information Processing被引頻次學(xué)科排名
書目名稱Neural Information Processing年度引用
書目名稱Neural Information Processing年度引用學(xué)科排名
書目名稱Neural Information Processing讀者反饋
書目名稱Neural Information Processing讀者反饋學(xué)科排名
作者: 失望未來 時間: 2025-3-21 23:10 作者: 后退 時間: 2025-3-22 03:32
Communications in Computer and Information Sciencehttp://image.papertrans.cn/n/image/663589.jpg作者: 敬禮 時間: 2025-3-22 05:01 作者: 假設(shè) 時間: 2025-3-22 12:22
Paper Recommendation with Multi-view Knowledge-Aware Attentive Network solve problems such as data sparsity faced by traditional recommendation methods and used GNN-based techniques to mine the features of users and papers. However, existing work has not emphasized the quality of the knowledge graph construction, and has not optimized the modeling method from the scen作者: 彎彎曲曲 時間: 2025-3-22 13:01 作者: bizarre 時間: 2025-3-22 17:04
Research on?Automatic Segmentation Algorithm of?Brain Tumor Image Based on?Multi-sequence Self-superllenging due to the limitations and intricacy of manual delineation. This paper presents a brain tumor image segmentation framework that addresses these challenges by leveraging multiple sequence information. The framework consists of encoder, decoder, and data fusion modules. The encoder incorporat作者: Inscrutable 時間: 2025-3-22 23:29
An Effective Morphological Analysis Framework of Intracranial Artery in 3D Digital Subtraction Angiorvention surgery. However, this task often comes with challenges of large-scale image and memory constraints. In this paper, an effective two-stage framework is proposed for fully automatic morphological analysis of intracranial artery. In the first stage, the proposed Region-Global Fusion Network (作者: 情節(jié)劇 時間: 2025-3-23 04:54 作者: Incompetent 時間: 2025-3-23 09:33
TCNet: Texture and Contour-Aware Model for Bone Marrow Smear Region of Interest Selection it is essential to select uniformly distributed and clear sections as regions of interest (ROIs). However, current ROI selection models have not considered the characteristics of bone marrow smears, resulting in poor performance in practical applications. By comparing bone marrow smear ROIs and non作者: 恭維 時間: 2025-3-23 12:42 作者: 牽索 時間: 2025-3-23 15:33 作者: 六個才偏離 時間: 2025-3-23 21:00 作者: Generic-Drug 時間: 2025-3-23 23:56 作者: Collar 時間: 2025-3-24 05:37 作者: nonradioactive 時間: 2025-3-24 08:00
Aided Diagnosis of?Autism Spectrum Disorder Based on?a?Mixed Neural Network Model the conventional methods are questionnaires and behavioral observation, which may be subjective and cause misdiagnosis. In order to obtain an accurate diagnosis, we could explore the quantitative imaging biomarkers and leverage the machine learning to learn the classification model on these biomark作者: 斜坡 時間: 2025-3-24 11:05 作者: 的事物 時間: 2025-3-24 17:16
Multi-scale Feature Fusion Neural Network for?Accurate Prediction of?Drug-Target Interactionsng process that involves conducting biological experiments with a vast array of potential compounds. To accelerate this process, computational methods have been developed, and with the growth of available datasets, deep learning methods have been widely applied in this field. Despite the emergence o作者: Antimicrobial 時間: 2025-3-24 21:09
GoatPose: A Lightweight and?Efficient Network with?Attention Mechanismlutional networks to edge devices. In this paper, we present GoatPose: a lightweight deep convolutional model for real-time human keypoint detection incorporating attention mechanism. Since the high computational cost is associated with the frequently-use convolution block, we substitute it with our作者: 笨重 時間: 2025-3-25 00:59
Sign Language Recognition for?Low Resource Languages Using Few Shot Learnings crucial to leverage a few-shot learning strategy for SLR. This research proposes a novel skeleton-based sign language recognition method based on the prototypical network?[.] called ProtoSign. Furthermore, we contribute to the field by introducing the first publicly accessible dynamic word-level S作者: ECG769 時間: 2025-3-25 06:14
T Cell Receptor Protein Sequences and?Sparse Coding: A Novel Approach to?Cancer Classificationtreatment decisions and patient outcomes. T Cell receptors (TCRs) are vital proteins in adaptive immunity, specifically recognizing antigens and playing a pivotal role in immune responses, including against cancer. TCR diversity makes them promising for targeting cancer cells, aided by advanced sequ作者: 種植,培養(yǎng) 時間: 2025-3-25 09:49 作者: 慢慢啃 時間: 2025-3-25 13:31
earch managers. The papers constitute the research proceedings of the 16th EuroSPI (European Software Process Improvement, www.eurospi.net) conference held in Alcala (Madrid region), September 2–4, 2009, Spain. Conferences have been held since 1994 in Dublin, 1995 in Vienna (Austria), 1997 in Budape作者: Visual-Field 時間: 2025-3-25 17:42
Yuzhi Chen,Pengjun Zhai,Yu Fangide any explicit recommendation about which individual SPs can or should be implemented before other SPs. In this paper we identify dependencies between CMMI SPs in PAs in maturity level 2, and between the PAs. We analyzed the text of the CMMI specification to identify every Work Product (WP) produc作者: magnanimity 時間: 2025-3-25 22:30 作者: 比賽用背帶 時間: 2025-3-26 03:34
Guiqiang Zhang,Jianting Shi,Wenqiang Liu,Guifu Zhang,Yuanhan He life cycle activities. Empirical research demonstrates the positive effect of mature software product management practices on key software development performance indicators. Nevertheless, the various frameworks available for software product management have distinct and diverse focus points, are o作者: 假裝是你 時間: 2025-3-26 08:23
Min-Si Ren,Yan-Ming Zhang,Qiu-Feng Wang,Fei Yin,Cheng-Lin Liucs components and software that play today a predominant role for the vehicle’s functions. Because the quality of on-board automotive electronic systems is strongly dependent on the quality of their development practices, car-makers and suppliers proactively focused on improvement of technical and o作者: 脫落 時間: 2025-3-26 08:28 作者: ALIBI 時間: 2025-3-26 16:29
Xiaoming Liu,Yuanzhe Dingach. In the context of education, serious games is a field that is growing rapidly as a way to provide alternative approaches to the traditional pedagogical learning/teaching process. The main objective of this work is to analyze the state of the art in relation to serious games for software process作者: 淺灘 時間: 2025-3-26 20:29
Yang Liu,Siru Wang,Wei Xia,Aaron Fenster,Haitao Gan,Ran Zhoucs components and software that play today a predominant role for the vehicle’s functions. Because the quality of on-board automotive electronic systems is strongly dependent on the quality of their development practices, car-makers and suppliers proactively focused on improvement of technical and o作者: headlong 時間: 2025-3-26 21:12
Ning Li,Lianjin Xiong,Wei Qiu,Yudong Pan,Yiqian Luo,Yangsong Zhangach. In the context of education, serious games is a field that is growing rapidly as a way to provide alternative approaches to the traditional pedagogical learning/teaching process. The main objective of this work is to analyze the state of the art in relation to serious games for software process作者: 教義 時間: 2025-3-27 02:42
Yiqian Luo,Ning Li,Yudong Pan,Wei Qiu,Lianjin Xiong,Yangsong Zhangach. In the context of education, serious games is a field that is growing rapidly as a way to provide alternative approaches to the traditional pedagogical learning/teaching process. The main objective of this work is to analyze the state of the art in relation to serious games for software process作者: heart-murmur 時間: 2025-3-27 07:55 作者: 感染 時間: 2025-3-27 11:46
Zhibo Yang,Binhao Bai,Jinyu Long,Ping Wei,Junli Lital transformation appeals to companies due to various competitive advantages it provides. Accordingly, there is a fundamental need for assisting companies in the transition to Industry 4.0 technologies/practices, and guiding them for improving their capabilities in a standardized, objective, and re作者: CLASH 時間: 2025-3-27 15:32 作者: 幻影 時間: 2025-3-27 18:09 作者: GNAW 時間: 2025-3-27 23:22
Zahra Tayebi,Sarwan Ali,Prakash Chourasia,Taslim Murad,Murray Pattersontal transformation appeals to companies due to various competitive advantages it provides. Accordingly, there is a fundamental need for assisting companies in the transition to Industry 4.0 technologies/practices, and guiding them for improving their capabilities in a standardized, objective, and re作者: Proclaim 時間: 2025-3-28 05:57 作者: Brain-Waves 時間: 2025-3-28 07:43
Haining Zhao,Tao Wang,Shiqi Liu,Xiaoliang Xie,Xiaohu Zhou,Zengguang Hou,Liqun Jiao,Yan Ma,Ye Li,Jich作者: 好色 時間: 2025-3-28 10:53
Chengliang Wang,Jian Chen,Xing Wu,Zailin Yang,Longrong Ran,Yao Liu作者: 遭受 時間: 2025-3-28 15:22 作者: neoplasm 時間: 2025-3-28 21:18
Biological Tissue Sections Instance Segmentation Based on Active Learningignificant value as the training set, so we can only label a small number of samples, and the network can achieve the expected performance. The algorithm is robust to different shapes of tissue sections and can be applied to various complex scenes to segment tissue sections automatically. Furthermor作者: 夾克怕包裹 時間: 2025-3-29 00:36 作者: VICT 時間: 2025-3-29 05:16 作者: 反叛者 時間: 2025-3-29 10:16 作者: gastritis 時間: 2025-3-29 12:59 作者: 你敢命令 時間: 2025-3-29 17:28 作者: myopia 時間: 2025-3-29 21:53
EEG Epileptic Seizure Classification Using Hybrid Time-Frequency Attention Deep Networke time-frequency features which provides seizure relevant information within the EEG signals. Then, a hybrid deep network combining convolutional neural network (CNN) and bidirectional LSTM (BiLSTM) architecture extracts spatiotemporal dependencies of EEG signals. Experimental studies have been perf作者: 假裝是你 時間: 2025-3-30 02:04 作者: 獨行者 時間: 2025-3-30 07:51
LDW-RS Loss: Label Density-Weighted Loss with Ranking Similarity Regularization for Imbalanced Deep designed to capture information about the similarity between neighboring samples in the label space. Ranking similarity regularization is developed to establish a global constraint for calibrating the biased feature representations learned by the network. A total of 1327 MRI images from 157 healthy 作者: MAL 時間: 2025-3-30 11:12 作者: Tailor 時間: 2025-3-30 15:54 作者: climax 時間: 2025-3-30 17:44
Multi-scale Feature Fusion Neural Network for?Accurate Prediction of?Drug-Target Interactionss the strength of drug-target interactions. To address these concerns, we developed a multi-scale feature fusion neural network (MSF-DTI), which leverages the potential semantic information of amino acid sequences at multiple scales, enriches the feature representation of proteins, and fuses drug an作者: indenture 時間: 2025-3-30 20:46 作者: synovium 時間: 2025-3-31 04:53 作者: 動物 時間: 2025-3-31 08:59
work in which different SPINs and national initiatives join mutually beneficial collaborations (ECQA – European Certification and Qualification Association, www978-3-642-04132-7978-3-642-04133-4Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: FIS 時間: 2025-3-31 09:44
Yuzhi Chen,Pengjun Zhai,Yu Fangon. For practitioners, our results may provide guidance on the order of implementation of SPs and PAs. Our dependency analysis has limitations in being derived from the text of the CMMI specification – we have no direct evidence that these dependencies are valid in practice.作者: 破譯 時間: 2025-3-31 15:59
Yanan lv,Haoze Jia,Haoran Chen,Xi Chen,Guodong Sun,Hua Hanlysis. This way it is possible to document and analyze the pre-development activities. Based on our conclusions we developed lightweight concepts to systematically capture documentation from the engineers, without hindering their creativity. These concepts were incorporated in a semantic Wiki, in an
