54 Result(s)
within
**ya Lu
Data Mining and Knowledge Discovery
Information Storage and Retrieval
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Article
Open AccessAutomatic diagnosis of keratitis using object localization combined with cost-sensitive deep attention convolutional neural network
Keratitis is a major cause of corneal blindness worldwide. Early identification and timely treatment of keratitis can deter the disease progression, reaching a better prognosis. The diagnosis of keratitis ofte...
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Article
Open AccessA survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amount of data to achieve exceptional performance. Unfortunately, many applications have small or inadequate data ...
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Article
Open AccessPartial-order-based process mining: a survey and outlook
The field of process mining focuses on distilling knowledge of the (historical) execution of a process based on the operational event data generated and stored during its execution. Most existing process minin...
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Article
Open AccessA practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples
Beyond detecting brain lesions or tumors, comparatively little success has been attained in identifying brain disorders such as Alzheimer’s disease (AD), based on magnetic resonance imaging (MRI). Many machine...
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Article
Strong natural language query generation
In this paper, we propose a novel query generation task we refer to as the Strong Natural Language Query (SNLQ) problem. The key idea we explore is how to best learn document summarization and ranker effective...
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Chapter and Conference Paper
A Study on Search Performance and Threshold Range of Icons
Icon lightness coding in digital interfaces has a very important impact on interface design. How to reduce visual information confusion and improve cognitive performance through icon feature coding is a subjec...
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Chapter and Conference Paper
A Visual-Based Approach for Manual Operation Evaluation
In order to improve the human-machine interface design and monitor the operational performance, hand behavior detection and analysis are very important. However, there is a lack of effective indicators of hand...
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Chapter and Conference Paper
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
Much progress has been made recently on text classification with methods based on neural networks. In particular, models using attention mechanism such as BERT have shown to have the capability of capturing th...
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Article
Open AccessIdentifying and characterizing the effects of calendar and environmental conditions on pediatric admissions in Shanghai
Global environmental pollution caused by human activities has become a threat to public health. Children are especially susceptible to adverse environmental conditions owing to their unique physiological and b...
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Article
Open AccessDIMPL: a distributed in-memory drone flight path builder system
Drones are increasingly being used to perform risky and labor intensive aerial tasks cheaply and safely. To ensure operating costs are low and flights autonomous, their flight plans must be pre-built. In exist...
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Article
Open AccessNeural information retrieval: at the end of the early years
A recent “third wave” of neural network (NN) approaches now delivers state-of-the-art performance in many machine learning tasks, spanning speech recognition, computer vision, and natural language processing. ...
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Article
Personalized Information Seeking Assistant (PiSA): from programming information seeking to learning
Online programming discussion forums have grown increasingly and formed sizable repositories of problem-solving solutions. In this paper, we investigate programming learners’ information seeking behaviors in o...
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Article
Open AccessDERIV: distributed brand perception tracking framework
Determining user’s perception of a brand in short periods of time has become crucial for business. Distilling brand perception directly from people’s comments in social media has promise. Current techniques fo...
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Chapter and Conference Paper
Stereoscopic Image Quality Assessment Based on Binocular Adding and Subtracting
There has been a great concern on blind image quality assessment in the field of 2D images, however, stereoscopic image quality assessment (SIQA) is still a challenging task. In this paper, we propose an effic...
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Chapter and Conference Paper
Speed Optimization of UAV Vehicle Tracking Algorithm
An improved method for vehicle tracking in UAV-captured video is introduced in this paper, this method based on GPU (Graphics Processing Units) acceleration which have efficient parallel computing powers. Tod...
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Chapter and Conference Paper
Integrating Color and Depth Cues for Static Hand Gesture Recognition
Recognizing static hand gesture in complex backgrounds is a challenging task. This paper presents a static hand gesture recognition system using both color and depth information. Firstly, the hand region is ex...
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Chapter and Conference Paper
Bidirectional Adaptive Feature Fusion for Remote Sensing Scene Classification
Convolutional neural networks (CNN) have been excellent for scene classification in nature scene. However, directly using the pre-trained deep models on the aerial image is not proper, because of the spatial s...
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Chapter and Conference Paper
Deep Temporal Architecture for Audiovisual Speech Recognition
The Audiovisual Speech Recognition (AVSR) is one of the applications of multimodal machine learning related to speech recognition, lipreading systems and video classification. In recent and related work, incre...
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Chapter and Conference Paper
Channels’ Matching Algorithm for Mixture Models
To solve the Maximum Mutual Information (MMI) and Maximum Likelihood (ML) for tests, estimations, and mixture models, it is found that we can obtain a new iterative algorithm by the Semantic Mutual Information...
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Chapter and Conference Paper
A New Cuckoo Search
In this paper, we intend to formulate a new Cuckoo Search (NCS) for solving optimization problems. This algorithm is based on the obligate brood parasitic behavior of some cuckoo species in combination with th...
