:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yiqun, Feng, Sen, Wang, Pengkai, Tan, Zexi, Luo, Xiaopeng, Ji, Yuzhu, Zou, Rong, Cheung, Yiu-ming
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2404.09243
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification
by: Pei, Wenbin, et al.
Published: (2026)

EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning
by: Pei, Wenbin, et al.
Published: (2024)

Self-Assembly of a Biologically Plausible Learning Circuit
by: Liao, Qianli, et al.
Published: (2024)

Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable Spiking Inference Accelerator Architecture Design Methodology
by: Nimbekar, Anagha, et al.
Published: (2024)

G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth
by: Zou, Juan, et al.
Published: (2024)

PGU-SGP: A Pheno-Geno Unified Surrogate Genetic Programming For Real-life Container Terminal Truck Scheduling
by: Tan, Leshan, et al.
Published: (2025)

Multi-Class Imbalanced Learning with Support Vector Machines via Differential Evolution
by: Zhang, Zhong-Liang, et al.
Published: (2025)

Accurate Mapping of RNNs on Neuromorphic Hardware with Adaptive Spiking Neurons
by: Boeshertz, Gauthier, et al.
Published: (2024)

PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks
by: Huang, Yulong, et al.
Published: (2024)

Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking
by: Feng, Yinglan, et al.
Published: (2024)

Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning
by: Ma, Zeyuan, et al.
Published: (2025)

A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization
by: Xue, Xiaoming, et al.
Published: (2025)

Enhancing Generalization and Scalability for Multi-Objective Optimization with Population Pre-Training
by: Hong, Haokai, et al.
Published: (2023)

Stream Neural Networks: Epoch-Free Learning with Persistent Temporal State
by: Pathan, Amama
Published: (2026)

Towards Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models
by: Lyu, Xuebin, et al.
Published: (2024)

Stochastic Spiking Neural Networks with First-to-Spike Coding
by: Jiang, Yi, et al.
Published: (2024)

A Survey on Recent Advances in Self-Organizing Maps
by: Guérin, Axel, et al.
Published: (2024)

Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks
by: Zhang, Hangming, et al.
Published: (2024)

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation
by: Luo, Liu-Yue, et al.
Published: (2025)

Diffusion-based Evolutionary Optimization for 3D Multi-Objective Molecular Generation
by: Sun, Ruiqing, et al.
Published: (2025)

Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams
by: Amarasinghe, Pivithuru Thejan, et al.
Published: (2024)

Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning
by: Zhang, Huan, et al.
Published: (2023)

Expand-and-Cluster: Parameter Recovery of Neural Networks
by: Martinelli, Flavio, et al.
Published: (2023)

CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
by: Huang, Yulong, et al.
Published: (2024)

When Large Language Model Meets Optimization
by: Huang, Sen, et al.
Published: (2024)

Minimally Supervised Learning using Topological Projections in Self-Organizing Maps
by: Lyu, Zimeng, et al.
Published: (2024)

Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning
by: Xiao, Chengui, et al.
Published: (2025)

Evolutionary Robust Clustering Over Time for Temporal Data
by: Zhao, Qi, et al.
Published: (2021)

Evolutionary Mapping of Neural Networks to Spatial Accelerators
by: Pierro, Alessandro, et al.
Published: (2026)

Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization
by: Xue, Xiaoming, et al.
Published: (2024)

Autonomous Multi-Objective Optimization Using Large Language Model
by: Huang, Yuxiao, et al.
Published: (2024)

Hybrid Quantum-Classical Encoding for Accurate Residue-Level pKa Prediction
by: Le, Van, et al.
Published: (2026)

Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks
by: Saeedi, Sepide, et al.
Published: (2022)

Self-Replicating and Self-Employed Smart Contract on Ethereum Blockchain
by: Masumori, Atsushi, et al.
Published: (2024)

A Comparative Analysis on Metaheuristic Algorithms Based Vision Transformer Model for Early Detection of Alzheimer's Disease
by: Sen, Anuvab, et al.
Published: (2024)

Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification
by: Lyu, Zimeng, et al.
Published: (2024)

Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach
by: Tanveer, M., et al.
Published: (2024)

Strategies for Resource Allocation of Two Competing Companies using Genetic Algorithm
by: Cheung, Wing Keung, et al.
Published: (2025)

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models
by: Huang, Beichen, et al.
Published: (2024)

Learning to Transfer for Evolutionary Multitasking
by: Wu, Sheng-Hao, et al.
Published: (2024)