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Hierarchical Neural Networks for Image Interpretation
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Face Detection in Still Gray Images
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Face Recognition across Large Viewpoint Changes
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Pattern Recognition by Self-Organizing Neural Networks
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Face Localization in the Neural Abstraction Pyramid
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A New HMM-Based Ensemble Generation Method for Numeral Recognition
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Toward Rough-Granular Computing
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Toward Perception Based Computing: A Rough-Granular Perspective
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Color Image Interpolation Combined with Rough Sets Theory
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Rough-Granular Computing in Human-Centric Information Processing
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Rough-Granular Computing in Human-Centric Information Processing
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Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition
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Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
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Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
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On Fast Deep Nets for AGI Vision
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Rough Sets: From Rudiments to Challenges
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New Millennium AI and the Convergence of History: Update of 2012
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Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
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Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network with a Deep Network Model
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Maximum-likelihood identification of fossils: taxonomic identification of Quaternary marmots (Rodentia, Mammalia) and identification of vertebral position in the pipesnake Cylindrophis (Serpentes, Reptilia)
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A Multilevel CNN Architecture for Character Recognition from Palm Leaf Images
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COVID-19 Detection Using Computer Vision and Deep Convolution Neural Network
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Feature Learning and Deep Learning Architecture Survey
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Feature Learning Taxonomy and Neuroscience Background
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Behavioral and Physiological Neural Network Analyses: A Common Pathway Toward Pattern Recognition and Prediction
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Climate change response in wintertime widespread fog conditions over the Indo-Gangetic Plains
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Two-dimensional perceptrons
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Face localization and tracking in the neural abstraction pyramid
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A new smart smudge attack using CNN
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BlackBox: Generalizable reconstruction of extremal values from incomplete spatio-temporal data
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Popular Raster-Based Methods of Prospectivity Modeling and Their Relationships
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Deep Convolutional Neural Networks for Feature Extraction of Images Generated from Complex Networks Topologies
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Multi-focus image fusion with the all convolutional neural network
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RPRTD: Routing protocol based on remaining time to encounter nodes with destination node in delay tolerant network using artificial neural network
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Particulate Matter Estimation from Public Weather Data and Closed-Circuit Television Images
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Electric Vehicle Battery State of Charge Prediction Based on Graph Convolutional Network
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Application of Convolutional Neural Network (CNN) and different other techniques for the restoration of degraded folk artworks: a comparative performance analysis
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Deep Voting and Structured Regression for Microscopy Image Analysis
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Deep learning approaches in face analysis
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Wall temperature prediction at critical heat flux using a machine learning model
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Application of deep learning techniques for nuclear power plant transient identification
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Classification of rock fragments produced by tunnel boring machine using convolutional neural networks
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Functions for adult neurogenesis in memory: An introduction to the neurocomputational approach and to its contribution
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Collaboration pattern in parallel-connected neural networks – A potential criterion for measuring the bionic level of artificial neural networks
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Investigations on carbonization operating conditions of ANSYS customized kiln for charcoal production from Prosopis juliflora biomass and ANN model prediction for optimized operating conditions
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Normal or abnormal? Machine learning for the leakage detection in carbon sequestration projects using pressure field data
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Rough sets: Some extensions
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Topology and simulations of a Hierarchical Markovian Radial Basis Function Neural Network classifier
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On the use of deep learning in software defect prediction
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A reconfigurable computing framework for multi-scale cellular image processing
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Exploiting local structure in Boltzmann machines
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Multi-column deep neural network for traffic sign classification
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Deep learning in neural networks: An overview
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Object class segmentation of RGB-D video using recurrent convolutional neural networks
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3D scattering transforms for disease classification in neuroimaging
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Determination of an infill well placement using a data-driven multi-modal convolutional neural network
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Development of ensemble smoother–neural network and its application to history matching of channelized reservoirs
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Determination of oil well placement using convolutional neural network coupled with robust optimization under geological uncertainty
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Multi-solution well placement optimization using ensemble learning of surrogate models
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Designing an Artificial Neural Network (ANN) to predict the viscosity of Silver/Ethylene glycol nanofluid at different temperatures and volume fraction of nanoparticles
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Hierarchical Convolutional Neural Network for Handwritten Digits Recognition
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Information-measuring System for the Flow Process Hydraulic Machines Testing Stand
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Mobility prediction in mobile ad hoc networks using neural learning machines
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Metasurface-Based Imagers Enabled Arbitrary Optical Convolution Processing
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A ResNet-LSTM hybrid model for predicting epileptic seizures using a pretrained model with supervised contrastive learning
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An Investigation of 3D Human Pose Estimation for Learning Tai Chi: A Human Factor Perspective
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Automatic Pavement Distress Severity Detection Using Deep Learning
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Deep convolution neural network for crack detection on asphalt pavement
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Automatic scoring method of English composition based on language depth perception
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Using neural networks with reinforcement in the tasks of forming user recommendations
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Improving epidemic testing and containment strategies using machine learning
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ScCAEs: deep clustering of single-cell RNA-seq via convolutional autoencoder embedding and soft K-means
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Learning to live with Dale’s principle: ANNs with separate excitatory and inhibitory units
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Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
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DeepErythema: A Study on the Consistent Evaluation Method of UV SPF Index Through Deep Learning
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Bio-mimetic approach in digital artificial neuro-science
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Advanced Biomimetic Cells Architecture for Parallel Operations in Artificial Intelligence
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A scalable learning system for video recognition
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Convolutional neural networks for image classification
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Text classification method based on convolution neural network
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Multi-column deep neural networks for image classification
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Recurrent convolutional neural network for object recognition
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Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
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Controlling the hidden layers' output to optimizing the training process in the Deep Neural Network algorithm
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Combined Convolutional and Perceptron Neural Networks for Handwritten Digits Recognition
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Approximate Reasoning in MAS: Rough Set Approach
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CNN based Traffic Sign Classification using Adam Optimizer
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Camera-based Digit Recognition System
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Large-scale object recognition with CUDA-accelerated hierarchical neural networks
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Development of an Algorithm for the Program to Recognize Defects on the Surface of Hot-Rolled Metal
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A two-stage system for meter value recognition
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Fast image scanning with deep max-pooling convolutional neural networks
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Deep Structure Learning: Beyond Connectionist Approaches
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RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features
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Using deep learning to enhance head and neck cancer diagnosis and classification
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Feature fusion for human action recognition based on classical descriptors and 3D convolutional networks
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Classification of Radar Signals with Convolutional Neural Networks
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Discovering hierarchical speech features using convolutional non-negative matrix factorization
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Topological features in locally connected RBMs
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A committee of neural networks for traffic sign classification
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Steel defect classification with Max-Pooling Convolutional Neural Networks
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Multi-scale pyramidal pooling network for generic steel defect classification
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Recurrent convolutional neural networks for object-class segmentation of RGB-D video
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A direct fingerprint minutiae extraction approach based on convolutional neural networks
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Biomimetic Cells: A New Frontier in Brain Informatics
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Hybrid convolutional neural networks
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Bridging the Machine-Human Gap in Blurred-Image Classification via Entropy Maximisation
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Learning Implicit Probability Distribution Functions for Symmetric Orientation Estimation from RGB Images Without Pose Labels
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Efficient Multi-Object Pose Estimation Using Multi-Resolution Deformable Attention and Query Aggregation
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Detection of arbitrarily rotated parked cars based on radar sensors
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Managing Pepper’s Ghost Illusion Using Intelligent Methods
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Low-quality License Plate Character Recognition Based on CNN
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A 12 pJ/Pixel Analog-to-Information Converter Based 816 × 640 Pixel CMOS Image Sensor
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Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]
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Autoencoder: Approach to the reduction of the dimension of the vector space with controlled loss of information
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Neural network implementation of a principal component analysis tasks on board the unmanned aerial vehicle information processing in real time
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Transient Process Parameterization and Compact Feature Representation for Edge AI Wood Drying Systems
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Feature extraction with convolutional neural networks for aerial image retrieval
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Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks
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A Deep Spatial Contextual Long-Term Recurrent Convolutional Network for Saliency Detection
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Hierarchical Human Semantic Parsing with Comprehensive Part-Relation Modeling
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Enhancing Quality Control in Plastic Injection Production: Deep Learning-Based Detection and Classification of Defects
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Development of CNN-Based Terrain Classifier Using Depth Camera
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Approximate Reasoning in MAS: Rough Set Approach
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Artificial intelligence and algorithmic computational pathology: an introduction with renal allograft examples
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Super-resolution recurrent convolutional neural networks for learning with multi-resolution whole slide images
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New simulation method of the parallel-hierarchical network for data processing based on network representation as a collection of number sets
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Data fusion for improved camera-based detection of respiration in neonates
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Automated detection of semagram-laden images using adaptive neural networks
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KNOWLEDGE TRANSFER IN DEEP CONVOLUTIONAL NEURAL NETS
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A Deep Learning Based Method for Network Application Classification in Software-Defined IoT
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Optimized splitting of mixed-species RNA sequencing data
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Hierarchical surrogate modeling for illumination algorithms
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Deep learning para identificação de déficit hídrico em plantas com base em imagens térmicas
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RGB-D object detection and semantic segmentation for autonomous manipulation in clutter
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Mapeo de incidencia criminal en el Estado de México mediante procesamiento digital de imágenes
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Artificial intelligence mechanism and mathematics implementation methods
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A Robust System for Noisy Image Classification Combining Denoising Autoencoder and Convolutional Neural Network
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Realization of Multi-Valued Logic Using Optical Quantum Computing
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Predicting personal traits from facial images using convolutional neural networks augmented with facial landmark information
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Convolutional Neural Networks to Estimate Residual Oil Saturation Through Partitioning Interwell Tracer Tests
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Convolutional Neural Network-based MR Image Analysis for Alzheimer’s Disease Classification
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A Convolutional Neural Network with Incremental Learning
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A transparent Open-Box learning network provides insight to complex systems and a performance benchmark for more-opaque machine learning algorithms
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Искусственный интеллект: развитие и тревоги. Взгляд в будущее. Статья вторая. Искусственный интеллект: терра инкогнита или управляемая сила?
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A Novel Recurrent Convolutional Neural Network for Ocean and Weather Forecasting
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Reconhecimento de objetos utilizando percepção multissensorial competitiva baseada em redes complexas
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Chinese Character Image Completion Using a Generative Latent Variable Model
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AI-Driven Particulate Matter Estimation Using Urban CCTV: A Comparative Analysis Under Various Experimental Conditions
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Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise
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3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification
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A Rapid and Adaptive Alignment under Mooring Condition Using Adaptive EKF and CNN-Based Learning
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GPS Spoofing Detection Method for Small UAVs Using 1D Convolution Neural Network
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Series of Semihypergroups of Time-Varying Artificial Neurons and Related Hyperstructures
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Novel applications of Machine Learning to Network Traffic Analysis and Prediction
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Automatic Image Colorization Based on Convolutional Neural Networks
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The Mars Gravity Biosatellite: Innovations in Murine Motion Analysis and Life Support
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Aplicação de inteligência artificial, para melhoria do conceito ITS (Intelligent Transport Systems)
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High-Performance Neural Networks for Visual Object Classification
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Multi-column Deep Neural Networks for Image Classification
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Object Recognition with Multi-Scale Pyramidal Pooling Networks
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Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
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My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013
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Striving for Simplicity: The All Convolutional Net
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On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models
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Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback
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Machine Learning for Dental Image Analysis
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Hierarchical Surrogate Modeling for Illumination Algorithms
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Convolution Neural Networks for diagnosing colon and lung cancer histopathological images
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Deep Learning for Network Traffic Classification
inferred← citeshttps://doi.org/10.5120/ijca2016910772openalex-snapshot
Deep Columnar Convolutional Neural Network
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