Evolving Long Short-Term Memory Networks

Long Short-Term Memory

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Individual Comparisons by Ranking Methods

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GSA: A Gravitational Search Algorithm

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End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

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Learning to forget: continual prediction with LSTM

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Geometric Semantic Genetic Programming

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Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling TasksPreprint

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Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction

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Music-Inspired Harmony Search Algorithm: Theory and Applications

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Stack-based genetic programming

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Dependency Based Embeddings for Sentence Classification Tasks

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Particle Swarm Optimization-based CNN-LSTM Networks for Forecasting Energy Consumption

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Fine-Tuning Convolutional Neural Networks Using Harmony Search

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Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks

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Learning Parameters in Deep Belief Networks Through Firefly Algorithm

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A Novel Siamese-Based Approach for Scene Change Detection With Applications to Obstructed Routes in Hazardous Environments

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Embedding Gravitational Search Algorithms in Convolutional Neural Networks for OCR applications

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Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches

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Temperature-Based Deep Boltzmann Machines

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A Hybrid Approach for Breast Mass Categorization

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Gait Recognition Based on Deep Learning: A Survey

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Immunocomputing-Based Approach for Optimizing the Topologies of LSTM Networks

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Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges

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Quantum machine learning for natural language processing application

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Intelligent Information Management in Aquaponics to Increase Mutual Benefits

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Hybrid Time‐Series Prediction Method Based on Entropy Fusion Feature

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A comprehensive survey on deep-learning based gait recognition for humans in the COVID-19 pandemic

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Anomaly Detection Using Deep Learning and Big Data Analytics for the Insider Threat Platform

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State Space Driven Financial Signal Decoupling: Empirical Evidence of the Structural Advantages of Mamba Model in Global- MultiAsset Forecasting

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Evolutionary optimization of long short-term memory neural network language model

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Evolving Deep Networks Using HPC

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Performance Analysis of Long Short-Term Memory Predictive Neural Networks on Time Series Data

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Adaptive Multi-Fidelity Hyperparameter Optimization in Large Language Models

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Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling TasksPreprint

Reimers, N., & Gurevych, I. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1707.06799 · Cited by 320 · see citing works