Results 41 to 50 of about 2,204,167 (303)

Efficient Smooth Tensor Train and Tensor Ring Completion for Image Classification Enhancement

IEEE Access
This paper deals with studying the data completion problem for enhancing the image classification task under the pixel removal scenario. In some applications, it happens that a part of the pixels of a given image is lost due to several issues, such as ...
Salman Ahmadi-Asl, Roman V. Garaev, Rustam A. Lukmanov, Naeim Rezaeian, Asad Masood Khattak, Manuel Mazzara   +5 more
doaj   +1 more source

Disentangled Representation Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence
Accepted by IEEE Transactions on Pattern Analysis and Machine ...
Xin Wang, Hong Chen, Si'ao Tang, Zihao Wu, Wenwu Zhu   +4 more
openaire   +3 more sources

Attributed Bipartite Network Representation Learning

Jisuanji kexue yu tansuo, 2021
Existing network embedding models are mostly designed for homogeneous networks or heterogeneous networks, but ignore the special features of bipartite network which arise in recommender systems, search engines, question answering systems and so on ...
ZHAO Xueli, LU Guangyue, LV Shaoqing, ZHANG Pan
doaj   +1 more source

Active Discriminative Text Representation Learning

, 2016
We propose a new active learning (AL) method for text classification with convolutional neural networks (CNNs). In AL, one selects the instances to be manually labeled with the aim of maximizing model performance with minimal effort.
Lease, Matthew, Wallace, Byron C., Zhang, Ye   +2 more
core   +1 more source

Motif-Aware Adversarial Graph Representation Learning

IEEE Access, 2022
Graph representation learning has been extensively studied in recent years. It has been proven effective in network analysis and mining tasks such as node classification and link prediction.
Ming Zhao, Yinglong Zhang, Xuewen Xia, Xing Xu   +3 more
doaj   +1 more source

Assessing the adversarial robustness of multimodal medical AI systems: insights into vulnerabilities and modality interactions

Frontiers in Medicine
The emergence of both task-specific single-modality models and general-purpose multimodal large models presents new opportunities, but also introduces challenges, particularly regarding adversarial attacks.
Ekaterina Mozhegova, Asad Masood Khattak, Adil Khan, Roman Garaev, Bader Rasheed, Muhammad Shahid Anwar   +5 more
doaj   +1 more source

Knowledge-aware Complementary Product Representation Learning

, 2019
Learning product representations that reflect complementary relationship plays a central role in e-commerce recommender system. In the absence of the product relationships graph, which existing methods rely on, there is a need to detect the complementary
Koren Yehuda, Le Quoc, Papagelis Manos, Recht Benjamin, Rendle Steffen, Soboroff Ian, Wainwright Martin J   +6 more
core   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

HARP: Hierarchical Representation Learning for Networks

, 2017
We present HARP, a novel method for learning low dimensional embeddings of a graph's nodes which preserves higher-order structural features. Our proposed method achieves this by compressing the input graph prior to embedding it, effectively avoiding ...
Chen, Haochen, Hu, Yifan, Perozzi, Bryan, Skiena, Steven   +3 more
core   +1 more source

Prolonged Corrected QT Interval as an Early Electrocardiographic Marker of Cyclophosphamide‐Induced Cardiotoxicity in Pediatric Hematology and Oncology Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura, Kentaro Ueno, Takuro Nishikawa, Yoshihiro Takahashi, Koji Nakae, Yasuhiro Okamoto   +5 more
wiley   +1 more source