Promotions have been trending in the e-commerce marketplace to build up
...
We consider constrained sampling problems in paid research studies or
cl...
Understanding public discourse on emergency use of unproven therapeutics...
Accented speech recognition and accent classification are relatively
und...
The colorectal polyps classification is a critical clinical examination....
Recently, one critical issue looms large in the field of recommender sys...
Integrating multi-modal data to improve medical image analysis has recei...
Categorical responses arise naturally from many scientific disciplines. ...
Despite the considerable progress in automatic abdominal multi-organ
seg...
Nowadays, several deep learning methods are proposed to tackle the chall...
We present a method that achieves state-of-the-art results on challengin...
Prevailing video frame interpolation algorithms, that generate the
inter...
Sparse data with a large portion of zeros arise in many scientific
disci...
This paper presents GoPose, a 3D skeleton-based human pose estimation sy...
Understanding causality is key to the success of NLP applications, espec...
Earables (ear wearables) is rapidly emerging as a new platform encompass...
Sensor-based environmental perception is a crucial part of the autonomou...
Objective. Deep neural networks (DNN) have shown unprecedented success i...
Glaucoma is the second leading cause of blindness and is the leading cau...
Cross-modal hashing still has some challenges needed to address: (1) mos...
Airway segmentation is critical for virtual bronchoscopy and computer-ai...
Modeling sparse data such as microbiome and transcriptomics (RNA-seq) da...
Fuzzing is one of the prevailing methods for vulnerability detection.
Ho...
We argue that, when establishing and benchmarking Machine Learning (ML)
...
We present pathways of investigation regarding conversational user inter...
The prevalence of WiFi devices and ubiquitous coverage of WiFi networks
...
We motivate why the science of learning to reject model predictions is
c...
Recent development in brain-machine interface technology has made seizur...
The challenge of solving data mining problems in e-commerce applications...
Objectives. The aim of this study was to investigate whether a deep
conv...
Key Opinion Leaders (KOLs) are people that have a strong influence and t...
WiFi human sensing has become increasingly attractive in enabling emergi...
Visual anomaly detection is an important and challenging problem in the ...
The task of multiple choice question answering (MCQA) refers to identify...
Current news datasets merely focus on text features on the news and rare...
Object detection is a challenging task in remote sensing because objects...
An accurate seizure prediction system enables early warnings before seiz...
Biometric-based authentication is gaining increasing attention for weara...
Deep convolutional neural networks (DCNN) aided high dynamic range (HDR)...
Floods are highly uncertain events, occurring in different regions, with...
To investigate whether the pleurae, airways and vessels surrounding a no...
The popularity of Internet-of-Things (IoT) has provided us with unpreced...
Currently, instance segmentation is attracting more and more attention i...
Over the last few years, there has been substantial progress in object
d...
Walking while using a smartphone is becoming a major pedestrian safety
c...
Voice authentication is drawing increasing attention and becomes an
attr...
This paper presents MultiTrack, a commodity WiFi-based human sensing sys...
This paper presents FruitSense, a novel fruit ripeness sensing system th...
Voice biometrics is drawing increasing attention as it is a promising
al...
Gesture recognition has become increasingly important in human-computer
...