965 Result(s)

Article

Ready or not? Investigating in-service teachers’ integration of learning analytics dashboard for assessing students’ collaborative problem solving in K–12 classrooms

Collaborative problem solving (CPS) has emerged as a crucial 21st century competence that benefits students’ studies, future careers, and general well-being, prevailing across disciplines and learning approach...

Yiming Liu, **ao Hu, Jeremy Tzi Dong Ng… in Education and Information Technologies (2024)

Article

Exponential Stability of Impulsive Stochastic Neutral Neural Networks with Lévy Noise Under Non-Lipschitz Conditions

In this paper, the exponential stability issue of stochastic impulsive neutral neural networks driven by Lévy noise is explored. By resorting to the Lyapunov-Krasovskii function that involves neutral time-dela...

Shuo Ma, Jiangman Li, Ruonan Liu, Qiang Li in Neural Processing Letters (2024)

Article

SS-CRE: A Continual Relation Extraction Method Through SimCSE-BERT and Static Relation Prototypes

Continual relation extraction aims to learn new relations from a continuous stream of data while avoiding forgetting old relations. Existing methods typically use the BERT encoder to obtain semantic embeddings...

**guang Chen, Suyue Wang, Lili Ma, Bo Yang, Kaibing Zhang in Neural Processing Letters (2024)

Article

A systematic data characteristic understanding framework towards physical-sensor big data challenges

Big data present new opportunities for modern society while posing challenges for data scientists. Recent advancements in sensor networks and the widespread adoption of the Internet of Things (IoT) have led to...

Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma in Journal of Big Data (2024)

Article

Cross-modal learning using privileged information for long-tailed image classification

The prevalence of long-tailed distributions in real-world data often results in classification models favoring the dominant classes, neglecting the less frequent ones. Current approaches address the issues in ...

**angxian Li, Yuze Zheng, Haokai Ma, Zhuang Qi, **angxu Meng… in Computational Visual Media (2024)

Article

Retraction Note: Feature fusion analysis of big cognitive data

Ma Ning, Weina Fu in Multimedia Tools and Applications (2024)

Article

Lightweight diffusion models: a survey

Diffusion models (DMs) are a type of potential generative models, which have achieved better effects in many fields than traditional methods. DMs consist of two main processes: one is the forward process of gr...

Wei Song, Wen Ma, Ming Zhang, Yanghao Zhang… in Artificial Intelligence Review (2024)

Article

Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities

Data mining and analysis are critical for preventing or mitigating natural hazards. However, data availability in natural hazard analysis is experiencing unprecedented challenges due to economic, technical, an...

Zheng**g Ma, Gang Mei, Nengxiong Xu in Artificial Intelligence Review (2024)

Article

Two-dimensional materials for future information technology: status and prospects

Over the past 70 years, the semiconductor industry has undergone transformative changes, largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensi...

Hao Qiu, Zhihao Yu, Tiange Zhao, Qi Zhang… in Science China Information Sciences (2024)

Article

Multichannel Multimodal Emotion Analysis of Cross-Modal Feedback Interactions Based on Knowledge Graph

Multimodal sentiment analysis is a downstream branch task of sentiment analysis with high attention at present. Previous work in multimodal sentiment analysis have focused on the representation and fusion of m...

Shaohua Dong, **aochao Fan, **nchun Ma in Neural Processing Letters (2024)

Article

Methodology and real-world applications of dynamic uncertain causality graph for clinical diagnosis with explainability and invariance

AI-aided clinical diagnosis is desired in medical care. Existing deep learning models lack explainability and mainly focus on image analysis. The recently developed Dynamic Uncertain Causality Graph (DUCG) app...

Zhan Zhang, Qin Zhang, Yang Jiao, Lin Lu, Lin Ma… in Artificial Intelligence Review (2024)

Article

Topic and knowledge-enhanced modeling for edge-enabled IoT user identity linkage across social networks

The Internet of Things (IoT) devices spawn growing diverse social platforms and online data at the network edge, propelling the development of cross-platform applications. To integrate cross-platform data, use...

Rui Huang, Tinghuai Ma, Huan Rong, Kai Huang, Nan Bi… in Journal of Cloud Computing (2024)

Article

Development and implementation of carbon accounting models and standardization platforms in public institutions

Public institutions, emblematic of public infrastructure, exhibit extensive reach and operational scope, positioning them as vanguards in China’s dual carbon initiatives and serving as exemplars. Electricity a...

Yan Bai, Rui Zhang, Bo Yu, Lan Zhang, **xin Guan, Yuexin Ma in Energy Informatics (2024)

Article

Exploring carbon emission accounting methods for typical public institutions: a case study of hospitals

Typical public institutions such as government offices, hospitals, and schools play important leading and exemplary roles in the green and low-carbon development of the whole society. This paper analyzes the b...

Lan Zhang, Rui Zhang, Yuexin Ma, Yan Bai in Energy Informatics (2024)

Article

Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems

Numerical optimization, Unmanned Aerial Vehicle (UAV) path planning, and engineering design problems are fundamental to the development of artificial intelligence. Traditional methods show limitations in deali...

Shengwei Fu, Ke Li, Haisong Huang, Chi Ma, Qingsong Fan… in Artificial Intelligence Review (2024)

Article

Learning Dynamic Prototypes for Visual Pattern Debiasing

Deep learning has achieved great success in academic benchmarks but fails to work effectively in the real world due to the potential dataset bias. The current learning methods are prone to inheriting or even a...

Kongming Liang, Zi** Yin, Min Min, Yan Liu… in International Journal of Computer Vision (2024)

Article

Imbalanced gradients: a subtle cause of overestimated adversarial robustness

Evaluating the robustness of a defense model is a challenging task in adversarial robustness research. Obfuscated gradients have previously been found to exist in many defense methods and cause a false signal ...

**ngjun Ma, Linxi Jiang, Hanxun Huang, Zejia Weng, James Bailey… in Machine Learning (2024)

Article

An Overestimation Reduction Method Based on the Multi-step Weighted Double Estimation Using Value-Decomposition Multi-agent Reinforcement Learning

The joint action-value function (JAVF) plays a key role in the centralized training of multi-agent deep reinforcement learning (MADRL)-based algorithms using the value function decomposition (VFD) and in the g...

Li-yang Zhao, Tian-qing Chang, Li-bin Guo, Jie Zhang… in Neural Processing Letters (2024)

Article

SSGAN: A Semantic Similarity-Based GAN for Small-Sample Image Augmentation

Image sample augmentation refers to strategies for increasing sample size by modifying current data or synthesizing new data based on existing data. This technique is of vital significance in enhancing the per...

Congcong Ma, Jiaqi Mi, Wanlin Gao, Sha Tao in Neural Processing Letters (2024)

Article

Ethical decision-making in human-automation collaboration: a case study of the nurse rostering problem

As artificial intelligence (AI) is increasingly present in different aspects of society and its harmful impacts are more visible, concrete methods to help design ethical AI systems and limit currently encounte...

Vincent Bebien, Odile Bellenguez, Gilles Coppin, Anna Ma-Wyatt… in AI and Ethics (2024)