🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
6370
Total Papers
5604
No Code
153
Twilight
613
Has Code
9.6%
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A Generalized and Configurable Benchmark Generator for Continuous Unconstrained Numerical Optimization
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NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification
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Multi-agricultural Machinery Collaborative Task Assignment Based on Improved Genetic Hybrid Optimization Algorithm
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Improving Automated Algorithm Selection by Advancing Fitness Landscape Analysis
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Nigerian Schizophrenia EEG Dataset (NSzED) Towards Data-Driven Psychiatry in Africa
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Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans
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Discovering Effective Policies for Land-Use Planning with Neuroevolution
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Look into the Mirror: Evolving Self-Dual Bent Boolean Functions
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Evolutionary Machine Learning and Games
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Circuit-centric Genetic Algorithm (CGA) for Analog and Radio-Frequency Circuit Optimization
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Pursing the Sparse Limitation of Spiking Deep Learning Structures
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Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels
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Genetic Algorithm enhanced by Deep Reinforcement Learning in parent selection mechanism and mutation : Minimizing makespan in permutation flow shop scheduling problems
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Rethinking Residual Connection in Training Large-Scale Spiking Neural Networks
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Brain-Inspired Efficient Pruning: Exploiting Criticality in Spiking Neural Networks
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Concepts and Paradigms for Neuromorphic Programming
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How can neuromorphic hardware attain brain-like functional capabilities?
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A self-adaptive genetic algorithm for the flying sidekick travelling salesman problem
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Neuronal Auditory Machine Intelligence (NEURO-AMI) In Perspective
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Bio-inspired computational memory model of the Hippocampus: an approach to a neuromorphic spike-based Content-Addressable Memory
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Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization
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ThinResNet: A New Baseline for Structured Convolutional Networks Pruning
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