activity
20172026
most citedAutomatically designing CNN architectures using genetic algorithm for image classification

883 citations · 2.2k across the 58 of their papers we have counts for

collaborators
Showing 2024Show all

8 papers · 1 filter

cs.LG2024

EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning

Wenbin Pei, Ruohao Dai, Bing Xue +4

Class imbalance would lead to biased classifiers that favor the majority class and disadvantage the minority class. Unfortunately, from a practical perspective, the minority class…

cs.CV2024

Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Utilizing Deep Learning and YOLO Integration

Yida Lin, Bing Xue, Mengjie Zhang +2

This research focuses on the development of a drone equipped with pruning tools and a stereo vision camera to accurately detect and measure the spatial positions of tree branches.…

cs.LG2024

Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis

Yun Zhou, Gang Chen, Bing Xue +6

The rapid and accurate detection of biochemical compositions in fish is a crucial real-world task that facilitates optimal utilization and extraction of high-value products in the…

cs.CV2024

Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Integrating SGBM and Segmentation Models

Yida Lin, Bing Xue, Mengjie Zhang +2

Manual pruning of radiata pine trees presents significant safety risks due to their substantial height and the challenging terrains in which they thrive. To address these risks, th…

cs.LG2024

Meta-Learning Neural Procedural Biases

Christian Raymond, Qi Chen, Bing Xue +1

The goal of few-shot learning is to generalize and achieve high performance on new unseen learning tasks, where each task has only a limited number of examples available. Gradient-…

cs.LG2024

Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression

Hengzhe Zhang, Qi Chen, Bing Xue +2

In recent years, genetic programming (GP)-based evolutionary feature construction has achieved significant success. However, a primary challenge with evolutionary feature construct…