267 Result(s)
within
Chapter
Conference Paper
Yi**ang Chen
Artificial Intelligence
Data Mining and Knowledge Discovery
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Chapter and Conference Paper
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization
In epidemic management, the unpredictable dynamics of outbreaks, the constraints of available resources, and the complexity of variable interactions pose a significant challenge in designing effective manageme...
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Chapter and Conference Paper
A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines
Containers are quickly gaining popularity in cloud computing environments due to their scalable and lightweight characteristics. However, the problem of Resource Allocation in Container-based clouds (RAC) is m...
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Chapter and Conference Paper
Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust
EXplainable machine learning (XML) has recently emerged as a promising approach to address the inherent opacity of machine learning (ML) systems by providing insights into their reasoning processes. This paper...
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Chapter and Conference Paper
Dynamic Mining of Wireless Network Information Transmission Security Vulnerabilities Based on Spatiotemporal Dimension
In order to improve the efficiency of dynamic mining for wireless network information transmission security vulnerabilities and improve the accuracy of mining results, this paper proposes a dynamic mining meth...
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Chapter and Conference Paper
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling
Genetic Programming (GP) is a well-known technique for generating dispatching rules for scheduling problems. A simple and cost-effective local search technique for many-objective combinatorial optimization pro...
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Chapter and Conference Paper
Design of Adaptive Detection Algorithm for Mobile Social Network Security Vulnerability Based on Static Analysis
In order to improve the accuracy of adaptive detection of security vulnerabilities in mobile social networks and achieve the ideal effect of high-precision adaptive detection of vulnerabilities, static analysi...
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Chapter and Conference Paper
Artificial Intelligences on Automated Context-Brain Recognition with Mobile Detection Devices
In the past few decades, lots of studies were proposed on investigations of brain circuits for physical health, mental health, educational learning, controlling system and so on. However, very few studies conc...
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Chapter and Conference Paper
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification
Dialogue Acts (DAs) can be used to explain what expert tutors do and what students know during the tutoring process. Most empirical studies adopt the random sampling method to obtain sentence samples for manua...
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Chapter and Conference Paper
Design of Information Consultation System for the Whole Process of Construction Engineering Based on BIM Technology
The existing building engineering information consulting system has the problems of low reliability and poor performance. This paper designs a new whole process information consulting system of building engine...
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Chapter and Conference Paper
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets
Dialogue acts (DAs) can represent conversational actions of tutors or students that take place during tutoring dialogues. Automating the identification of DAs in tutoring dialogues is significant to the design...
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Chapter and Conference Paper
A Causal Disentangled Multi-granularity Graph Classification Method
Graph data widely exists in real life, with large amounts of data and complex structures. It is necessary to map graph data to low-dimensional embedding. Graph classification, a critical graph task, mainly rel...
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Chapter and Conference Paper
NTDA: Noise-Tolerant Data Augmentation for Document-Level Event Argument Extraction
Event argument extraction (EAE), aiming at identifying event arguments over multiple sentences, mainly faces data sparsity problem. Cross-domain data augmentation can leverage annotated data to augment trainin...
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Chapter and Conference Paper
FastDEC: Clustering by Fast Dominance Estimation
k-Nearest Neighbors (k-NN) graph is essential for the various graph mining tasks. In this work, we study the density-based clustering on the k-NN graph and propose FastDEC, a clustering framework by fast dominanc...
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Chapter and Conference Paper
The Road Not Taken: Preempting Dropout in MOOCs
Massive Open Online Courses (MOOCs) are often plagued by a low level of student engagement and retention, with many students drop** out before completing the course. In an effort to improve student retention...
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Chapter and Conference Paper
SpMVNet: Spatial Multi-view Network for Head and Neck Organs at Risk Segmentation
Head and neck (HaN) cancers are often treated with radiotherapy. Since radiation inevitably causes damage to human organs, it is necessary to control the dose of radiation in different areas during radiation t...
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Chapter and Conference Paper
Generalizable Automatic Short Answer Scoring via Prototypical Neural Network
We investigated the challenging task of generalizable automatic short answer scoring (ASAS), where a scoring model is tasked with generalizing to target domains (provided only with limited labeled data) that h...
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Chapter and Conference Paper
Long-Term and Short-Term Perception in Knowledge Tracing
Knowledge Tracing (KT) is a fundamental task in contemporary intelligent educational systems, which tracks the knowledge states of the learners based on their response sequences. KT is crucial for the effectiv...
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Chapter and Conference Paper
Are Graph Neural Network Explainers Robust to Graph Noises?
With the rapid deployment of graph neural networks (GNNs) based techniques in a wide range of applications such as link prediction, community detection, and node classification, the explainability of GNNs beco...
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Chapter and Conference Paper
Does a Compromise on Fairness Exist in Using AI Models?
Artificial Intelligence (AI) has been increasingly used to assist decision making in different domains. Multiple parties are usually affected by decisions in decision making, e.g. decision-maker and people aff...
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Chapter and Conference Paper
Measuring Inconsistency in Written Feedback: A Case Study in Politeness
Feedback, indisputably, has been widely recognized as one of the most important forms of communication between teachers and students and a significant lever to enhance learning experience and success. However,...
