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08/01/2023
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems
The Traveling Salesman Problem (TSP) is a well-known problem in combinat...
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06/29/2023
From Query Tools to Causal Architects: Harnessing Large Language Models for Advanced Causal Discovery from Data
Large Language Models (LLMs) exhibit exceptional abilities for causal an...
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06/12/2023
Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge
Causal structure learning, a prominent technique for encoding cause and ...
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11/25/2022
Underground Diagnosis Based on GPR and Learning in the Model Space
Ground Penetrating Radar (GPR) has been widely used in pipeline detectio...
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10/21/2022
Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data
Ground Penetrating Radar (GPR) has been widely used to estimate the heal...
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01/25/2022
Estimating the Direction and Radius of Pipe from GPR Image by Ellipse Inversion Model
Ground Penetrating Radar (GPR) is widely used as a non-destructive appro...
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01/25/2022
Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression
With the rapid expansion of urban areas and the increasingly use of elec...
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05/19/2021
Do Models Learn the Directionality of Relations? A New Evaluation Task: Relation Direction Recognition
Deep neural networks such as BERT have made great progress in relation c...
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05/18/2021
Relation Classification with Entity Type Restriction
Relation classification aims to predict a relation between two entities ...
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04/14/2021
When Non-Elitism Meets Time-Linkage Problems
Many real-world applications have the time-linkage property, and the onl...
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01/05/2021
Recent Trends in Food Intake Monitoring using Wearable Sensors
Obesity and being over-weight add to the risk of some major life threate...
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12/25/2020
Brain-inspired Search Engine Assistant based on Knowledge Graph
Search engines can quickly response a hyperlink list according to query ...
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12/15/2020
A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes
To handle different types of Many-Objective Optimization Problems (MaOPs...
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12/14/2020
Trustworthy Preference Completion in Social Choice
As from time to time it is impractical to ask agents to provide linear o...
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11/09/2020
Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables
Causal variables in Markov boundary (MB) have been widely applied in ext...
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10/21/2020
A Graph Based and Patient Demographics Aware Dialogue System for Disease Diagnosis
A dialogue system for disease diagnosis aims at making a diagnosis by co...
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09/08/2020
Unsupervised Change Detection in Satellite Images with Generative Adversarial Network
Detecting changed regions in paired satellite images plays a key role in...
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06/30/2020
Correction of Faulty Background Knowledge based on Condition Aware and Revise Transformer for Question Answering
The study of question answering has received increasing attention in rec...
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06/30/2020
Online Dynamic Network Embedding
Network embedding is a very important method for network data. However, ...
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04/26/2020
Analysis of Evolutionary Algorithms on Fitness Function with Time-linkage Property
In real-world applications, many optimization problems have the time-lin...
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12/27/2019
Short Isometric Shapelet Transform for Binary Time Series Classification
In the research area of time series classification (TSC), ensemble shape...
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10/30/2019
When does Diversity Help Generalization in Classification Ensembles?
Ensembles, as a widely used and effective technique in the machine learn...
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10/01/2019
Sub-Architecture Ensemble Pruning in Neural Architecture Search
Neural architecture search (NAS) is gaining more and more attention in r...
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06/04/2019
Back Attention Knowledge Transfer for Low-resource Named Entity Recognition
In recent years, great success has been achieved in the field of natural...
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11/01/2018
Multiple Kernel k-Means Clustering by Selecting Representative Kernels
To cluster data that are not linearly separable in the original feature ...
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11/01/2018
Skeleton-based Activity Recognition with Local Order Preserving Match of Linear Patches
Human activity recognition has drawn considerable attention recently in ...
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06/13/2018
Ensemble Pruning based on Objection Maximization with a General Distributed Framework
Ensemble pruning, selecting a subset of individual learners from an orig...
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02/10/2018
Disturbance Grassmann Kernels for Subspace-Based Learning
In this paper, we focus on subspace-based learning problems, where data ...
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09/18/2016
Probabilistic Feature Selection and Classification Vector Machine
Sparse Bayesian learning is one of the state-of- the-art machine learnin...
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10/31/2012