VinSpace: Recent submissions
Hiển thị tài liệu từ 1-20 của 491
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Joint Resource Allocation and Link Adaptation for Ultra-Reliable and Low-Latency Services
(2023)With the emergence of ultra-reliable and low latency communication (URLLC) services, link adaptation (LA) plays a pivotal role in improving the robustness and reliability of communication networks via appropriate modulation ... -
Migrant and refugee youth’s sexual and reproductive health and rights: a scoping review to inform policies and programs
(2023-06-05)Objectives: Migrants and refugee youth (MRY) in Western nations are less likely to participate in sexual reproductive health (SRH) services. Consequently, MRY are more likely to encounter adverse SRH experiences due to ... -
Detection of sFas, sCD137, and IL-27 cytokines as potential biomarkers for hepatocellular carcinoma diagnosis
(2023-05-26)Purpose: Hepatocellular carcinoma (HCC), a prevalent type of liver cancer, is mainly diagnosed in the advanced stage, leading to a high mortality rate. Recent advances have identified peripheral cytokines as a potential ... -
Integrated educational technology in teaching anatomy using the ASIC framework: a case study from VinUniversity
(2023-01-29)The curriculum in teaching anatomy is under increasing pressure to transform from traditional to interdisciplinary integration, from cadaver-based to multimodal instruction with a system-based approach. Educational ... -
Robust educational dialogue act classifiers with low-resource and imbalanced datasets
(2023-04-15)Dialogue acts (DAs) can represent conversational actions of tutors or students that take place during tutoring dialogues. Automating the identification of DAs in tutoring dialogues is significant to the design of dialogue-based ... -
FEDGRAD: Mitigating backdoor attacks in federated learning through local ultimate gradients inspection
(2023-04-29)Federated learning (FL) enables multiple clients to train a model without compromising sensitive data. However, the decentralized nature of FL makes it susceptible to adversarial attacks, particularly backdoor insertion ... -
A survey on out-of-distribution evaluation of neural NLP models
(2023-06-27)Adversarial robustness, domain generalization, and dataset biases are three active lines of research contributing to out-of-distribution (OOD) evaluation on neural NLP models. However, a comprehensive, integrated discussion ... -
Efficient human vision inspired action recognition using adaptive spatiotemporal sampling
(2022-07-14)Adaptive sampling that exploits the spatiotemporal redundancy in videos is critical for always-on action recognition on wearable devices with limited computing and battery resources. The commonly used fixed sampling strategy ... -
Revisiting reverse distillation for anomaly detection
(2023)Anomaly detection is an important application in large-scale industrial manufacturing. Recent methods for this task have demonstrated excellent accuracy but come with a latency trade-off. Memory based approaches with ... -
Denoising diffusion medical models
(2023-04-19)In this study, we introduce a generative model that can synthesize a large number of radiographical image/label pairs, and thus is asymptotically favorable to downstream activities such as segmentation in bio-medical image ... -
Fairness enhancement of UAV systems with hybrid active-passive RIS
(2023-09-20)We consider unmanned aerial vehicle (UAV)-enabled wireless systems where downlink communications between a multi-antenna UAV and multiple users are assisted by a hybrid active-passive reconfigurable intelligent surface ... -
Enhancing few-shot image classification with cosine transformer
(2023-07-21)This paper addresses the few-shot image classification problem, where the classification task is performed on unlabeled query samples given a small amount of labeled support samples only. One major challenge of the few-shot ... -
A novel transparency strategy-based data augmentation approach for BI-RADS classification of mammograms
(2023-04-17)Image augmentation techniques have been widely investigated to improve the performance of deep learning (DL) algorithms on mammography classification tasks. Recent methods have proved the efficiency of image augmentation ... -
Slice-level detection of intracranial hemorrhage on CT using deep descriptors of adjacent slices
(2023-04-17)The rapid development in representation learning techniques such as deep neural networks and the availability of large-scale, well-annotated medical imaging datasets have led to a rapid increase in the use of supervised ... -
Ensemble learning of myocardial displacements for myocardial infarction detection in echocardiography
(2023-10-13)Background: Early detection and localization of myocardial infarction (MI) can reduce the severity of cardiac damage through timely treatment interventions. In recent years, deep learning techniques have shown promise for ... -
Robotic cardiac compression device using artificial muscle filaments for the treatment of heart failure
(2023)Heart failure occurs when the heart cannot pump adequate blood to the body, which afflicts over 60 million people worldwide. Its treatment options include physiotherapy, medication, mechanical heart support, heart surgery, ... -
Joint preloading and bitrate adaptation for short video streaming
(2023)Short videos have become one of the most popular content mobile users consume nowadays. However, unlike traditional videos, users watch many short videos each time and frequently skip those not of their interest. Not taking ... -
A probabilistic framework for pruning transformers via a finite admixture of keys
(2023-04-11)Pairwise dot product-based self-attention is key to the success of transformers which achieve state-of-the-art performance across a variety of applications in language and vision, but are costly to compute. It has been ... -
LOGOVIT: Local-global vision transformer for object re-identification
(2023-06)Object re-identification (ReID) is prone to errors under variations in scale, illumination, complex background, and object occlusion scenarios. To overcome these challenges, attention mechanisms are employed to concentrate ...
