484 Result(s)
within
**-**a Ding
Artificial Intelligence
Data Mining and Knowledge Discovery
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Article
Open AccessRetraction Note: Using hardware counter-based performance model to diagnose scaling issues of HPC applications
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Article
Luminance domain-guided low-light image enhancement
Images captured under low-light conditions often suffer from low contrast, high noise, and uneven brightness due to nightlight, backlight, and shadow. These challenges make it difficult to use them as high-qua...
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Article
NeuralGLS: learning to guide local search with graph convolutional network for the traveling salesman problem
The traveling salesman problem (TSP) aims to find the shortest tour that visits each node of a given graph exactly once. TSPs have significant importance as numerous practical problems can be naturally formula...
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Article
Fixed-time synchronization of fractional-order complex-valued delayed neural networks with discontinuous activation functions
This article concentrates on the fixed-time synchronization (FXTS) of fractional-order complex-valued delayed neural networks with discontinuous activation functions. On the basis of the nonsmooth analysis, di...
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Article
Enhancing isomorphism between word embedding spaces for distant languages bilingual lexicon induction
Most of the bilingual lexicon induction (BLI) models learn a map** function that can transfer word embedding (WE) spaces from one language to another. This usually relies on the isomorphism hypothesis, which...
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Article
Open AccessImproved 3D human face reconstruction from 2D images using blended hard edges
This study reports an effective and robust edge-based scheme for the reconstruction of 3D human faces from input of single images, addressing drawbacks of existing methods in case of large face pose angles or ...
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Article
VGAN-BL: imbalanced data classification based on generative adversarial network and biased loss
The purpose of imbalanced data classification is to solve the problem of unfair learning caused by the large difference in data distribution. Traditional classifiers are designed on the basis of balanced data,...
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Article
Dbias: detecting biases and ensuring fairness in news articles
Because of the increasing use of data-centric systems and algorithms in machine learning, the topic of fairness is receiving a lot of attention in the academic and broader literature. This paper introduces Dbi...
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Chapter and Conference Paper
Knowledge Graph Completion via Subgraph Topology Augmentation
Knowledge graph completion (KGC) has achieved widespread success as a key technique to ensure high-quality structured knowledge for downstream tasks (e.g., recommendation systems and question answering). Howev...
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Article
Document-level multi-task learning approach based on coreference-aware dynamic heterogeneous graph network for event extraction
Document-level event extraction aims to extract event-related information from an unstructured document composed of multiple sentences. Existing approaches are not effective due to the challenge of event argum...
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Chapter and Conference Paper
Mining Label Distribution Drift in Unsupervised Domain Adaptation
Unsupervised domain adaptation targets to transfer task-related knowledge from labeled source domain to unlabeled target domain. Although tremendous efforts have been made to minimize domain divergence, most e...
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Article
Survey on deep learning in multimodal medical imaging for cancer detection
The task of multimodal cancer detection is to determine the locations and categories of lesions by using different imaging techniques, which is one of the key research methods for cancer diagnosis. Recently, d...
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Article
Deep learning in multimodal medical imaging for cancer detection
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Article
Solving a many-objective PFSP with reinforcement cumulative prospect theory in low-volume PCB manufacturing
Permutation flow-shop scheduling problems with many objectives have wide applications in the modern manufacturing domain such as the printed circuit board (PCB) industry. In this paper, an upgraded method call...
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Article
Joint multi-view character embedding model for named entity recognition of Chinese car reviews
Named entity recognition (NER) has always been an important research task in information extraction and knowledge graph construction. Due to the randomness of Chinese user-generated reviews, character substitu...
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Article
Rib segmentation algorithm for X-ray image based on unpaired sample augmentation and multi-scale network
Rib segmentation based on chest X-ray images is essential in the computer-aided diagnosis systems of lung cancer, which serves as an important step in the quantitative analysis of various types of lung disease...
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Article
Cross-modality complementary information fusion for multispectral pedestrian detection
Multispectral pedestrian detection has received increasing attention in recent years as color and thermal modalities can provide complementary visual information, especially under insufficient illumination con...
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Article
Fine-grained deepfake detection based on cross-modality attention
In this paper, we propose a fine-grained deepfake detection network based on cross-modality attention. Specifically, it consists of three essential parts. The first is the feature extraction module, including ...
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Article
Fixed-time adaptive fuzzy SOSM controller design with output constraint
A fixed-time adaptive fuzzy second-order sliding mode (SOSM) approach has been designed to handle the problem of nonlinear systems with output constraints. According to the advantages of using fuzzy logic syst...
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Article
Siamese transformer network-based similarity metric learning for cross-source remote sensing image retrieval
As a fundamental technique for mining and analysis of remote sensing (RS) big data, content-based remote sensing image retrieval (CBRSIR) has received a lot of attention. Recently, cross-source CBRSIR (CS-CBRS...
