neural-networks-computer-science

Documents about neural-networks-computer-science

• Stochastic Neural Networks for Cryptocurrency Price Prediction#200885OpenAlex
• Dynamic Neural Networks for Motion-Force Control of Redundant Manipulators: An Optimization Perspective#19731Semantic Scholar
• Adaptive Levenberg–Marquardt Algorithm: A New Optimization Strategy for Levenberg–Marquardt Neural Networks#19737Semantic Scholar
• Particle swarm optimization of deep neural networks architectures for image classification#19741Semantic Scholar
• Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case#19743Semantic Scholar
• Selection and Optimization of Temporal Spike Encoding Methods for Spiking Neural Networks#19745Semantic Scholar
• Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment#19751Semantic Scholar
• A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions#19784Semantic Scholar
• EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks#19799Semantic Scholar
• Light source relighting for indoor scene photos with deep neural networks#264962MIT Open Scholarship
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition#303010Semantic Scholar
• Bottom hole pressure estimation using hybridization neural networks and grey wolves optimization#423692Semantic Scholar
• Review of Meta-Heuristic Optimization based Artificial Neural Networks and its Applications#440180Semantic Scholar
• De novo design of anticancer peptides by ensemble artificial neural networks#478156CiNii
• Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs#478184CiNii
• Generalised, multilingual, optical Braille recognition models#637724SUNScholar
• Dermatologist-level classification of skin cancer with deep neural networks#6461OpenAlex
• Approximate diffusion tractography from FLAIR MRI and anatomical context using recurrent neural networks.#1352NCBI PubMed Central
• Model Predictive Control of Nonholonomic Chained Systems Using General Projection Neural Networks Optimization#19713Semantic Scholar
• A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices#19720Semantic Scholar
• Loss landscapes and optimization in over-parameterized non-linear systems and neural networks#19733Semantic Scholar
• Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks#19742Semantic Scholar
• Spiking neural networks for handwritten digit recognition - Supervised learning and network optimization#19749Semantic Scholar
• Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN#19757Semantic Scholar
• Prediction and optimization of mechanical properties of composites using convolutional neural networks#19762Semantic Scholar
• Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks#19777Semantic Scholar
• Finite-time recurrent neural networks for solving nonlinear optimization problems and their application#19783Semantic Scholar
• Super-convergence: very fast training of neural networks using large learning rates#19785Semantic Scholar
• Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation#19792Semantic Scholar
• Adaptive activation functions accelerate convergence in deep and physics-informed neural networks#19810Semantic Scholar
• Intrusion detection for cloud computing using neural networks and artificial bee colony optimization algorithm#422132Semantic Scholar
• Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks#478102CiNii
• Extreme Learning Machine for embedded neural networks. (Extreme Learning Machine pour réseau de neurones embarqué).#489528DBLP
• Inverse Dirichlet weighting enables reliable training of physics informed neural networks#977770Semantic Scholar
• EdgeFence: Federated Temporal Graph Neural Networks for Lightweight, Adversarial Malware Detection in Distributed Edge Networks#156466Springer Nature OA
• A hybrid intrusion detection method based on multi-convolutional neural networks fusion and grey wolf optimizer#203584Springer Nature OA
• A generative approach to full sequence synthetic micro-expressions using the neutral expression#243413Animo Repository
• Marshaled Learning: Bridging Large Neural Networks with Memory-Constrained Trusted Execution Environments in Federated Learning#294144Digital Commons @ Michigan Tech
• A Comparative Study of Classifying Legal Documents with Neural Networks#335697OpenAlex
• Generating Adversarial Examples with Adversarial Networks#199604OpenAlex
• Semi-Supervised Classification with Graph Convolutional Networks#7014OpenAlex
• A Survey on the Optimization of Artificial Neural Networks Using Swarm Intelligence Algorithms#19718Semantic Scholar
• Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks#19736Semantic Scholar
• AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks#19739Semantic Scholar
• Genetic algorithm for the optimization of features and neural networks in ECG signals classification#19775Semantic Scholar
• Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis#135248Semantic Scholar
• A mean field view of the landscape of two-layer neural networks#303009Semantic Scholar
• Exploring deep neural networks via layer-peeled model: Minority collapse in imbalanced training#336796Semantic Scholar
• Hierarchical semantic extraction and heterogeneous graph neural networks for event-driven time series forecasting.#479480NCBI PubMed Central
• Learning Optimal Dynamic Matching via Graph Neural Networks#614165arXiv (OAI Expanded)