research
∙
08/18/2023
The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation
Fashion understanding is a hot topic in computer vision, with many appli...
share
research
∙
07/14/2023
AIC-AB NET: A Neural Network for Image Captioning with Spatial Attention and Text Attributes
Image captioning is a significant field across computer vision and natur...
research
∙
06/01/2023
Blockchain-based Decentralized Co-governance: Innovations and Solutions for Sustainable Crowdfunding
This thesis provides an in-depth exploration of the Decentralized Co-gov...
research
∙
05/26/2023
Adversarial Multi-task Learning for End-to-end Metaphor Detection
Metaphor detection (MD) suffers from limited training data. In this pape...
research
∙
05/22/2023
Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation
Word sense disambiguation (WSD), which aims to determine an appropriate ...
research
∙
05/12/2023
Agile gesture recognition for capacitive sensing devices: adapting on-the-job
Automated hand gesture recognition has been a focus of the AI community ...
research
∙
04/17/2023
Scenario Approach for Parametric Markov Models
In this paper, we propose an approximating framework for analyzing param...
research
∙
04/11/2023
A Novel Two-Layer DAG-based Reactive Protocol for IoT Data Reliability in Metaverse
Many applications, e.g., digital twins, rely on sensing data from Intern...
research
∙
08/19/2022
Scaling Blockchains with Error Correction Codes: A Survey on Coded Blockchains
This paper reviews and highlights how coding schemes have been used to s...
research
∙
07/13/2022
RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment
Coronary CT Angiography (CCTA) is susceptible to various distortions (e....
research
∙
05/06/2022
RCMNet: A deep learning model assists CAR-T therapy for leukemia
Acute leukemia is a type of blood cancer with a high mortality rate. Cur...
research
∙
03/05/2022
Remiod: Reference-based Controlled Multiple Imputation of Longitudinal Binary and Ordinal Outcomes with non-ignorable missingness
Missing data on response variables are common in clinical studies. Corre...
research
∙
02/09/2022
Covariate-informed Representation Learning with Samplewise Optimal Identifiable Variational Autoencoders
Recently proposed identifiable variational autoencoder (iVAE, Khemakhem ...
research
∙
02/06/2022
The Exponential-Time Complexity of the complex weighted #CSP
In this paper, I consider a fine-grained dichotomy of Boolean counting c...
research
∙
01/11/2022
Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks
Stock Movement Prediction (SMP) aims at predicting listed companies' sto...
research
∙
12/20/2021
CSSR: A Context-Aware Sequential Software Service Recommendation Model
We propose a novel software service recommendation model to help users f...
research
∙
12/06/2021
UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks
UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks...
research
∙
12/02/2021
Visual-Semantic Transformer for Scene Text Recognition
Modeling semantic information is helpful for scene text recognition. In ...
research
∙
05/31/2021
Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network
Low-dose CT has been a key diagnostic imaging modality to reduce the pot...
research
∙
05/12/2021
A Large-Scale Benchmark for Food Image Segmentation
Food image segmentation is a critical and indispensible task for develop...
research
∙
04/14/2021
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
Existing pre-trained language models (PLMs) have demonstrated the effect...
research
∙
12/16/2020
Summarizing Unstructured Logs in Online Services
Logs are one of the most valuable data sources for managing large-scale ...
research
∙
09/18/2020
A Knowledge Graph based Approach for Mobile Application Recommendation
With the rapid prevalence of mobile devices and the dramatic proliferati...
research
∙
09/15/2020
Efficient Estimation of General Treatment Effects using Neural Networks with A Diverging Number of Confounders
The estimation of causal effects is a primary goal of behavioral, social...
research
∙
08/06/2020
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation
Although Generative Adversarial Networks have shown remarkable performan...
research
∙
04/23/2020
Preliminary Study of Connectivity for Quantum Key Distribution Network
Quantum network is fragile to disturbances when qubits are transmitted t...
research
∙
01/14/2020
Graph-Fused Multivariate Regression via Total Variation Regularization
In this paper, we propose the Graph-Fused Multivariate Regression (GFMR)...
research
∙
10/31/2019
Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk
Terminal ductal lobular unit (TDLU) involution is the regression of milk...
research
∙
12/04/2018
Unstructured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction
With the rapid development of online advertising and recommendation syst...
research
∙
11/25/2018
Multi-view Point Cloud Registration with Adaptive Convergence Threshold and its Application on 3D Model Retrieval
Multi-view point cloud registration is a hot topic in the communities of...
research
∙
10/16/2018
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification
Effective detection of arrhythmia is an important task in the remote mon...
research
∙
09/27/2018
Auto-Encoding Knockoff Generator for FDR Controlled Variable Selection
A new statistical procedure (Model-X candes2018) has provided a way to i...
research
∙
06/19/2018
Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks
One of the big restrictions in brain computer interface field is the ver...
research
∙
05/28/2018
ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing
This article proposes an edge content delivery framework (ECD) based on ...
research
∙
05/21/2018
Weighted batch means estimators in Markov chain Monte Carlo
This paper proposes a family of weighted batch means variance estimators...
research
∙
04/16/2018
Optimal mean squared error bandwidth for spectral variance estimators in MCMC simulations
This paper proposes optimal mean squared error bandwidths for a family o...
research
∙
03/21/2018
On Maximizing Sampling Time of RF-Harvesting Sensor Nodes Over Random Channel Gains
In the future, sensor nodes or Internet of Things (IoTs) will be tasked ...
research
∙
03/20/2018
On Low-Resolution ADCs in Practical 5G Millimeter-Wave Massive MIMO Systems
Nowadays, millimeter-wave (mmWave) massive multiple-input multiple-outpu...
research
∙
02/25/2018
A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection
Customer retention is one of the primary goals in the area of customer r...
research
∙
02/12/2018
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
To ensure undisrupted business, large Internet companies need to closely...
research
∙
01/28/2018
Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data
This paper presents the first deep reinforcement learning (DRL) framewor...
research
∙
12/14/2017
Three IQs of AI Systems and their Testing Methods
The rapid development of artificial intelligence has brought the artific...
research
∙
11/29/2017
Connectivity jamming game for physical layer attack in peer to peer networks
Because of the open access nature of wireless communications, wireless n...
research
∙
11/29/2017
Intelligent Traffic Light Control Using Distributed Multi-agent Q Learning
The combination of Artificial Intelligence (AI) and Internet-of-Things (...
research
∙
09/29/2017
Intelligence Quotient and Intelligence Grade of Artificial Intelligence
Although artificial intelligence is currently one of the most interestin...
research
∙
11/10/2013
Learning Gaussian Graphical Models with Observed or Latent FVSs
Gaussian Graphical Models (GGMs) or Gauss Markov random fields are widel...
research
∙
05/10/2011