Image de couverture de livre

Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Shaokuan, Cui, Pengshan, Qian, Yining, Lu, An-Yang, Wang, Xianpeng
Format:	Preprint
Publié:	2026
Sujets:	Neural and Evolutionary Computing I.2.6, I.5.1
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Multi-objective Genetic Programming with Multi-view Multi-level Feature for Enhanced Protein Secondary Structure Prediction
par: Qian, Yining, et autres
Publié: (2026)

Developing Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm
par: Sharifi, Zaniar, et autres
Publié: (2024)

Theoretical Analysis of the Advantage of Deepening Neural Networks
par: Esaki, Yasushi, et autres
Publié: (2020)

K-Way Energy Probes for Metacognition Reduce to Softmax in Discriminative Predictive Coding Networks
par: Cacioli, Jon-Paul
Publié: (2026)

Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
par: Gayler, Ross W.
Publié: (2004)

Expanding continual few-shot learning benchmarks to include recognition of specific instances
par: Kowadlo, Gideon, et autres
Publié: (2022)

Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models
par: DiGiugno, Andrew, et autres
Publié: (2025)

Collapse or Preserve: Data-Dependent Temporal Aggregation for Spiking Neural Network Acceleration
par: Qin, Jiahao
Publié: (2026)

Spiking Neural Network Architecture Search: A Survey
par: Svoboda, Kama, et autres
Publié: (2025)

Eventprop training for efficient neuromorphic applications
par: Shoesmith, Thomas, et autres
Publié: (2025)

Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data
par: Geglio, Anthony, et autres
Publié: (2022)

Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks
par: Baik, Hyeongmeen, et autres
Publié: (2026)

Pulse-Driven Neural Architecture: Learnable Oscillatory Dynamics for Robust Continuous-Time Sequence Processing
par: Sharma, Paras
Publié: (2026)

Multi-Task Genetic Algorithm with Multi-Granularity Encoding for Protein-Nucleotide Binding Site Prediction
par: Gao, Yiming, et autres
Publié: (2026)

Deep learning in a bilateral brain with hemispheric specialization
par: Rajagopalan, Chandramouli, et autres
Publié: (2022)

Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates
par: Fokam, Cabrel Teguemne, et autres
Publié: (2024)

A Technical Note on the Architectural Effects on Maximum Dependency Lengths of Recurrent Neural Networks
par: Kent, Jonathan S., et autres
Publié: (2024)

Controlling Recurrent Neural Networks by Conceptors
par: Jaeger, Herbert
Publié: (2014)

IP$^{2}$-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
par: Yu, Yingchao, et autres
Publié: (2025)

Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets
par: Arnold, Solvi, et autres
Publié: (2024)

On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers
par: Štrupl, Miroslav, et autres
Publié: (2025)

Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
par: Zuo, Lin, et autres
Publié: (2024)

Decoding Phone Pairs from MEG Signals Across Speech Modalities
par: de Zuazo, Xabier, et autres
Publié: (2025)

Interactive LLM-assisted Curriculum Learning for Multi-Task Evolutionary Policy Search
par: Sakallioglu, Berfin, et autres
Publié: (2026)

Multi-objective Binary Coordinate Search for Feature Selection
par: Miyandoab, Sevil Zanjani, et autres
Publié: (2024)

Compact NSGA-II for Multi-objective Feature Selection
par: Miyandoab, Sevil Zanjani, et autres
Publié: (2024)

GAAPO: Genetic Algorithmic Applied to Prompt Optimization
par: Sécheresse, Xavier, et autres
Publié: (2025)

Persistent Memory Through Triple-Loop Consolidation in a Non-Gradient Dissipative Cognitive Architecture
par: Lou, Jianwei
Publié: (2026)

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents
par: Malik, Raaghav, et autres
Publié: (2025)

Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions
par: Yamamoto, Kakei, et autres
Publié: (2022)

Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks
par: Kunc, Vladimír, et autres
Publié: (2024)

Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions
par: Kunc, Vladimír
Publié: (2024)

The Hidden Linear Structure in Score-Based Models and its Application
par: Wang, Binxu, et autres
Publié: (2023)

Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
par: Nouranizadeh, Amirhossein, et autres
Publié: (2024)

Towards Scaling Deep Neural Networks with Predictive Coding: Theory and Practice
par: Innocenti, Francesco
Publié: (2025)

Perforated Neural Networks for Keyword Spotting
par: Gopal, Vishy, et autres
Publié: (2026)

mlx-snn: Spiking Neural Networks on Apple Silicon via MLX
par: Qin, Jiahao
Publié: (2026)

Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image Classification
par: Hoang, Anh T., et autres
Publié: (2023)

Tensor Logic: The Language of AI
par: Domingos, Pedro
Publié: (2025)

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
par: Lee, Justin, et autres
Publié: (2025)