67 Result(s)
-
Chapter and Conference Paper
CLMB: Deep Contrastive Learning for Robust Metagenomic Binning
The reconstruction of microbial genomes from large metagenomic datasets is a critical procedure for finding uncultivated microbial populations and defining their microbial functional roles. To achieve that, we...
-
Article
Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset
Low-light image enhancement is challenging in that it needs to consider not only brightness recovery but also complex issues like color distortion and noise, which usually hide in the dark. Simply adjusting th...
-
Chapter and Conference Paper
Research on Real-Time Monitoring Method of Communication Network Blocking Based on Cloud Computing
Aiming at the problems that the traditional method has long response time to communication network congestion monitoring and the detection effect is not ideal, a real-time monitoring method based on cloud comp...
-
Chapter and Conference Paper
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction
During infancy, the human brain develops rapidly in terms of structure, function and cognition. The tight connection between cognitive skills and brain morphology motivates us to focus on individual level cogn...
-
Chapter and Conference Paper
Research on Chinese Word Segmentation Based on Conditional Random Fields
Word segmentation is the first step in Chinese natural language processing. The accuracy of segmentation has substantial impacts on subsequent tasks such as part-of-speech tagging, semantic analysis, etc. This...
-
Chapter and Conference Paper
A CNN-Based Method for Depression Detecting Form Audio
Depression, a major mental illness, has widely affected lives all over the world. Being depressed not only affects patients’ mood, but also has a negative impact on patients’ physical and mental health. It may...
-
Chapter and Conference Paper
Chinese Word Sense Disambiguation Based on Classification
Word sense disambiguation (WSD) is a well-known task in the field of natural language processing. It attempts to determine a meaning of a word that has a couple of senses. This paper studies the Chinese word s...
-
Chapter and Conference Paper
Personal Name Disambiguation for Chinese Documents in Online Medium
Disambiguating various people that share the same name is a critical issue for analyzing contents in online medium. This paper develops a framework for dealing with personal names in Chinese dataset. Web pages...
-
Chapter and Conference Paper
Research on the Authorship of Dream of the Red Chamber Based on Link Prediction
Dream of the Red Chamber (DRC), written in Qing dynasty, is a prestigious classical novel in Chinese literature. There exists a disputation over the authorship of DRC for the last 40 chapters. This research ma...
-
Article
Gravitational search algorithm based on multiple adaptive constraint strategy
In order to improve the convergence speed and optimization accuracy of gravitational search algorithm, the improved gravitational algorithm with dynamically adjusting inertia weight and trend factors of speed ...
-
Chapter and Conference Paper
Representing EHRs with Temporal Tree and Sequential Pattern Mining for Similarity Computing
The ability to rapidly identify at scale patients that are similar based on their electronic health records (EHRs) is fundamental for a number of clinical informatics applications, such as clinical decision su...
-
Chapter and Conference Paper
Discriminative Features Generation for Mortality Prediction in ICU
Effective methods for mortality prediction for Intensive Care Unit (ICU) patients assist health professionals by producing alerts ahead of time regarding the critical changing degeneration of a patient’s healt...
-
Chapter and Conference Paper
Application of Polar Code-Based Scheme in Cloud Secure Storage
In view of the fact that the quantum computer attack is not considered in the cloud storage environment, this paper selects the code-based public key encryption scheme as the security protection measure in the...
-
Chapter and Conference Paper
L2R-QA: An Open-Domain Question Answering Framework
Open-domain question answering has always being a challenging task. It involves information retrieval, natural language processing, machine learning, and so on. In this work, we try to explore some comparable ...
-
Chapter and Conference Paper
An Advanced Least Squares Twin Multi-class Classification Support Vector Machine for Few-Shot Classification
In classification tasks, deep learning methods yield high performance. However, owing to lack of enough annotated data, deep learning methods often underperformed. Therefore, we propose an advance version of l...
-
Chapter and Conference Paper
Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach
Biomarkers are not well understood in depression, partly because there is no golden rule of what is abnormal in which patients and how neurobiological information can be used to improve diagnosis. The heteroge...
-
Chapter and Conference Paper
Itinerary Recommendation for User Groups in Temporary Social Network
Temporary social network has been a increasing popular field in the last few years where people form a temporary social group for a short time period with common interests or purposes in the same area. When a ...
-
Chapter and Conference Paper
Data Augmentation for Deep Learning of Judgment Documents
With the increasing number of machine learning parameters, the requirements on data quantity are getting higher and higher to train a good model. The choice of methods and the optimization of parameters can im...
-
Chapter and Conference Paper
Using Case Facts to Predict Penalty with Deep Learning
With the promotion of Wisdom Court construction and the increasing completeness of judicial big data, the combination of judicial and artificial intelligence attracted more and more attention. The Judicial doc...
-
Chapter and Conference Paper
Adaptive Flower Pollination Algorithm Based on Chaotic Map
Flower pollination algorithm (FPA) is one of the well-known evolutionary techniques used extensively to solve optimization problems. Despite its efficiency and wide use, the identical search behaviors may lead...
