artificial-neural-networks

Documents about artificial-neural-networks

• Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERvA experiment#240608Repositorio Institucional de la PUCP
• Artificial Neural Networks and Their Applications#478351DOAB PROD Instance
• Theory of temporal pattern learning in echo state networks#1000754HAL (France)
• Development of a Machine Learning Platform for Analysis of Mitochondrial Features in Live-Cell Images#1027286İzmir Yüksek Teknoloji Enstitüsü
• A technique to stock market prediction using fuzzy clustering and artificial neural networks#77676PhilArchive
• Graded Neural Networks#160858arXiv (OAI)
• AIS-Based Vessel Trajectory Prediction Using Memory-Augmented Neural Networks#259524arXiv CS
• Deterministic Global Optimization with Artificial Neural Networks Embedded#341910Semantic Scholar
• Arrhythmia Classification Using Graph Neural Networks Based on Correlation Matrix#609755arXiv (All)
• New Principle for Encoding Information to Create Subjective Reality in Artificial Neural Networks#697733PhilArchive
• Analysis of Respiratory Sinus Arrhythmia with Neural Networks#972749arXiv (All)
• Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks#20382DOAJ
• Interpretable abstractions of artificial neural networks predict behavior and neural activity during human information gathering#651825Europe PMC
• Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks#797165arXiv (OAI Expanded)
• Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks#798578arXiv (All)
• Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERvA experiment#316464Repositorio Institucional de la PUCP
• Application of artificial neural networks to the condition monitoring and diagnosis of a combined heat and power plant#340224Lund University Publications
• Artificial neural networks: a practical review of applications involving fractional calculus#19797Semantic Scholar
• Proceedings of the First Turkish Conference on AI and Artificial Neural Networks#111004PhilArchive
• Equivariant Graph Neural Networks Improve Optical Spectra Prediction for Materials Screening#287172arXiv CS
• Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms#303004Semantic Scholar
• ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation#303008Semantic Scholar
• Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information#444654arXiv CS
• 3D Weighted Geometric Graph Neural Networks for Sheep Facial Pain Assessment#444669arXiv CS
• Probabilistic Circuits as Reasoning Machines in Artificial Intelligence (Part I)#459670arXiv CS
• Equivariant Sheaf Neural Networks: Learning Geometric Transport on Graphs#789086arXiv (OAI Expanded)
• Equivariant Sheaf Neural Networks: Learning Geometric Transport on Graphs#793090arXiv (All)
• Gradient-Free Training of Spiking Neural Networks via Low-Rank Evolution Strategies#984171arXiv (All)
• Wireless sensor network modeling using modified recurrent neural network: Application to fault detection#958055Louisiana Tech Digital Commons
• Stochastic Neural Networks for Cryptocurrency Price Prediction#200885OpenAlex
• Learning Alzheimer's Disease Signatures by bridging EEG with Spiking Neural Networks and Biophysical Simulations#972413arXiv (All)
• Topology Obstructs Pure Foundation Neural Quantum States#984503arXiv (All)
• Lecture notes on Physics Informed Neural Networks, Neural Operators, and their applications#1011369arXiv (All)
• Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art#19791Semantic Scholar
• Leveraging Artificial Neural Networks for Cancer Prediction: A Synthetic Dataset Approach#85024PhilArchive
• Litespark Inference on Consumer CPUs: Custom SIMD Kernels for Ternary Neural Networks#168366arXiv CS
• Explaining the Explainers in Graph Neural Networks: a Comparative Study#189010arXiv
• Explaining the Explainers in Graph Neural Networks: a Comparative Study#189060arXiv Biology
• Explaining the Explainers in Graph Neural Networks: a Comparative Study#189110arXiv (OAI Expanded)
• Explaining the Explainers in Graph Neural Networks: a Comparative Study#189160arXiv (OAI)
• Review of second-order optimization techniques in artificial neural networks backpropagation#437822Semantic Scholar
• Meta Learning in Decentralized Neural Networks: Towards More General AI#478110CiNii
• A concentration result for multilayer feedforward neural networks#614338arXiv (OAI Expanded)
• A concentration result for multilayer feedforward neural networks#615305arXiv (All)
• Texture Image Classification Using DWT AlexNet Feature Fusion and Deep Neural Networks#618594arXiv CS
• A Comparative Evaluation of Pre-trained Convolutional Neural Networks for Melanoma Detection#673560arXiv CS
• From the Loss Landscape to Diverse Feature Learning in Neural Networks#789173arXiv (OAI Expanded)
• Frequency Selective Neural Networks as a Foundation Architecture for Time Series Learning#789233arXiv (OAI Expanded)
• From the Loss Landscape to Diverse Feature Learning in Neural Networks#793177arXiv (All)
• Frequency Selective Neural Networks as a Foundation Architecture for Time Series Learning#793237arXiv (All)