1,442 Result(s)
within
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
**li Zhang
Chapter
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Chapter and Conference Paper
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling
Multi-objective dynamic flexible job shop scheduling (MO-DFJSS) is a challenging problem that requires finding high-quality schedules for jobs in a dynamic and flexible manufacturing environment, considering m...
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Chapter and Conference Paper
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads
With the rapid development of deep learning, object detection and tracking play a vital role in today’s society. Being able to identify and track all the pedestrians in the dense crowd scene with computer visi...
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Chapter and Conference Paper
Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming
Genetic programming (GP) is an evolutionary machine learning method that can be used to address a wide range of both classification and regression conundrums. However, traditional GP algorithms can lead to unn...
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Chapter and Conference Paper
An Augmented Learning Approach for Multiple Data Streams Under Concept Drift
Multiple data streams learning attracts more and more attention recently. Different from learning a single data stream, the uncertain and complex occurrence of concept drift in multiple data streams, bring cha...
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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
Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies
Mushrooms play a pivotal role in bolstering Australia’s economy, impacting key sectors like agriculture, food production, and medicinal advancements. To meet the escalating need for sustainable food options an...
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Chapter and Conference Paper
User-Oriented Interest Representation on Knowledge Graph for Long-Tail Recommendation
Graph neural networks have demonstrated impressive performance in the field of recommender systems. However, existing graph neural network recommendation approaches are proficient in capturing users’ mainstrea...
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Chapter and Conference Paper
Multi-head Similarity Feature Representation and Filtration for Image-Text Matching
The field of multimedia analysis has been increasingly focused on image-text retrieval, which aims to retrieve semantically relevant images or text through queries of the opposite modality. The key challenge i...
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Chapter and Conference Paper
Efficient Size-Constrained (k, d)-Truss Community Search
In recent years, finding a cohesive subgraph containing the user-given query vertices has been extensively explored as the community search problem. Most of the existing research ignores the size and diameter ...
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Chapter and Conference Paper
An Improved Stimulus Reconstruction Method for EEG-Based Short-Time Auditory Attention Detection
Short-time auditory attention detection (AAD) based on electroencephalography (EEG) can be utilized to help hearing-impaired people improve their perception abilities in multi-speaker environments. However, th...
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Chapter and Conference Paper
A Poisoning Attack Based on Variant Generative Adversarial Networks in Recommender Systems
The emergence of poisoning attacks brings significant security risks to recommender systems. Injecting a well-designed set of fake user profiles into these systems can severely impact the quality of recommenda...
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Chapter and Conference Paper
Improving Motor Imagery Intention Recognition via Local Relation Networks
Brain-computer interface (BCI) is a new communication and control technology established between human or animal brains and computer or other electronic equipment that does not rely on conventional brain infor...
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Chapter and Conference Paper
Deep Knowledge Tracing with Concept Trees
Knowledge tracing aims to diagnose the student’s knowledge status and predict the responses to the next questions, which is a critical task in personalized learning. The existing studies consider more academic...
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Chapter and Conference Paper
A Cross-Region-based Framework for Supporting Car-Sharing
With the rapid development of mobile Internet and sharing economy, carsharing has attracted a lot of attention around the globe. Many popular taxi-calling service platforms, such as DiDi and Uber, have provide...
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Chapter and Conference Paper
Machine Unlearning Methodology Based on Stochastic Teacher Network
The rise of the phenomenon of the “right to be forgotten” has prompted research on machine unlearning, which grants data owners the right to actively withdraw data that has been used for model training and req...
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Chapter and Conference Paper
Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism
Drug discovery is a major focus of modern research, and predicting drug-target interactions is one of the strategies to facilitate this research process. Traditional laboratory methods have long time cycles an...
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Chapter and Conference Paper
RTS: A Regional Time Series Framework for Brain Disease Classification
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that it often occurs in children. ADHD can cause serious damage to children’s growth and development. Currently, the diagnosis o...
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Chapter and Conference Paper
The Influence of the Student's Online Learning Behaviors on the Learning Performance
The emergence of online learning platforms means learners have a variety of learning behavior patterns. Many studies have found that there is a certain correlation between online learning behavior and learning...
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Chapter
Multi-Sensor Calibration
Reliable real-time extrinsic parameters of 3D Light Detection and Ranging (LiDAR) and cameras are vital components of multimodal perception systems. However, extrinsic transformation may drift gradually during...
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Chapter and Conference Paper
Symbolic and Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music
Music Emotion Recognition involves the automatic identification of emotional elements within music tracks, and it has garnered significant attention due to its broad applicability in the field of Music Informa...
