Deep Convolution Neural Network sharing for the multi-label images classification

No abstract is available for this paper.

• Publication year

  2022

• Venue

  Machine Learning with Applications

• Publication date

  2022-12-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.mlwa.2022.100422
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Deep multi-task learning for malware image classification

  2022cited by this paper
• Deep learning for precision agriculture: A bibliometric analysis

  2022cited by this paper
• Memristor crossbar architectures for implementing deep neural networks

  2021cited by this paper
• Intra-domain and cross-domain transfer learning for time series data - How transferable are the features?

  2021cited by this paper
• A survey on deploying mobile deep learning applications: A systemic and technical perspective

  2021cited by this paper
• Memory-efficient deep learning inference with incremental weight loading and data layout reorganization on edge systems

  2021cited by this paper
• Automatic layer selection for transfer learning and quantitative evaluation of layer effectiveness

  2021cited by this paper
• Detection of solder paste defects with an optimization‐based deep learning model using image processing techniques

  2021cited by this paper
• CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope

  2021cited by this paper
• A Lightweight Multi-label Image Classification Model Based on Inception Module

  2020cited by this paper
• Improving weeds identification with a repository of agricultural pre-trained deep neural networks

  2020cited by this paper
• A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

  2020cited by this paper
• The Time Complexity Analysis of Neural Network Model Configurations

  2020cited by this paper
• Transfer learning from simulated SAR imagery using multi-output convolutional neural networks

  2020cited by this paper
• A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis

  2020cited by this paper
• Deep Depthwise Separable Convolutional Network for Change Detection in Optical Aerial Images

  2020cited by this paper
• Transfer learning with deep neural networks for model predictive control of HVAC and natural ventilation in smart buildings

  2020cited by this paper
• An improved object detection algorithm based on depthwise separable convolutions

  2020cited by this paper
• Exploiting Web Images for Multi-Output Classification: From Category to Subcategories

  2020cited by this paper
• Bi-Modal Learning With Channel-Wise Attention for Multi-Label Image Classification

  2020cited by this paper
• Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique

  2020cited by this paper
• Multi-label chest X-ray image classification via category-wise residual attention learning

  2020cited by this paper
• Combining Multi-task Learning with Transfer Learning for Biomedical Named Entity Recognition

  2020cited by this paper
• Deadlock prevention for service orchestration via controlled Petri nets

  2019cited by this paper
• Joint multi-label classification and label correlations with missing labels and feature selection

  2019cited by this paper
• A comparison of multitask and single task learning with artificial neural networks for yield curve forecasting

  2019cited by this paper
• Multi-task learning improves ancestral state reconstruction.

  2019cited by this paper
• A Multiple-Loss Dual-Output Convolutional Neural Network for Fashion Class Classification

  2019cited by this paper
• Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning

  2019cited by this paper
• HyPar: A divide-and-conquer model for hybrid CPU-GPU graph processing

  2019cited by this paper
• Deep neural networks with transfer learning in millet crop images

  2019cited by this paper
• Hierarchical convolutional neural networks for fashion image classification

  2019cited by this paper
• Improving person re-identification by multi-task learning

  2019cited by this paper
• Feature Reuse Residual Networks for Insect Pest Recognition

  2019cited by this paper
• Improving Domain Adaptation by Source Selection

  2019cited by this paper
• Relation Network for Multilabel Aerial Image Classification

  2019cited by this paper
• Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models

  2018cited by this paper
• Deep Learning with a Rethinking Structure for Multi-label Classification

  2018cited by this paper
• A regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data

  2018cited by this paper
• Correlation analysis of performance measures for multi-label classification

  2018cited by this paper
• Multi-label learning based deep transfer neural network for facial attribute classification

  2018cited by this paper
• On automated source selection for transfer learning in convolutional neural networks

  2018cited by this paper
• Multi-label learning based on label-specific features and local pairwise label correlation

  2018cited by this paper
• Review of ensembles of multi-label classifiers: Models, experimental study and prospects

  2018cited by this paper
• Multi-label classification of member participation in online innovation communities

  2018cited by this paper
• A Modulation Module for Multi-task Learning with Applications in Image Retrieval

  2018cited by this paper
• A survey on deep learning techniques for image and video semantic segmentation

  2018cited by this paper
• A deep heterogeneous feature fusion approach for automatic land-use classification

  2018cited by this paper
• An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images

  2018cited by this paper
• Improvised divide and conquer approach for the LIS problem

  2018cited by this paper
• Deep learning: Evolution and expansion

  2018cited by this paper
• Insect Detection and Classification Based on an Improved Convolutional Neural Network

  2018cited by this paper
• Breast cancer histology images classification: Training from scratch or transfer learning?

  2018cited by this paper
• Optimal Transport for Multi-source Domain Adaptation under Target Shift

  2018cited by this paper
• Deep Learning for Logo Recognition

  2017cited by this paper
• Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition

  2017cited by this paper
• Deep learning architectures for multi-label classification of intelligent health risk prediction

  2017cited by this paper
• Convolution neural network in precision agriculture for plant image recognition and classification

  2017cited by this paper
• Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection

  2017cited by this paper
• Multimodal Machine Learning: A Survey and Taxonomy

  2017cited by this paper
• A patch-based convolutional neural network for remote sensing image classification

  2017cited by this paper
• Deep Learning for Multi-task Plant Phenotyping

  2017cited by this paper
• Multi-label classification by exploiting local positive and negative pairwise label correlation

  2017cited by this paper
• Convolutional neural networks for hyperspectral image classification

  2017cited by this paper
• Multi-label classification methods for improving comorbidities identification

  2017cited by this paper
• White blood cells identification system based on convolutional deep neural learning networks

  2017cited by this paper
• Multi-label convolutional neural network based pedestrian attribute classification

  2017cited by this paper
• Deep convolutional hashing using pairwise multi-label supervision for large-scale visual search

  2017cited by this paper
• Movie genre classification: A multi-label approach based on convolutions through time

  2017cited by this paper
• Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis

  2016cited by this paper
• Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

  2016cited by this paper
• A Survey on Object Detection in Optical Remote Sensing Images

  2016cited by this paper
• Rethinking the Inception Architecture for Computer Vision

  2015cited by this paper
• A Tutorial on Multilabel Learning

  2015cited by this paper
• Domain Adaptation with Regularized Optimal Transport

  2014cited by this paper
• Learning output kernels for multi-task problems

  2013cited by this paper
• Scikit-learn: Machine Learning in Python

  2011cited by this paper
• Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

  2011cited by this paper
• Feature selection for semi-supervised multi-label learning with application to gene function analysis

  2010cited by this paper
• A Survey on Transfer Learning

  2010cited by this paper
• NUS-WIDE: a real-world web image database from National University of Singapore

  2009cited by this paper
• Multi-Label Classification: An Overview

  2007cited by this paper
• Statistical Comparisons of Classifiers over Multiple Data Sets

  2006cited by this paper
• Collective multi-label classification

  2005cited by this paper
• Learning multi-label scene classification

  2004cited by this paper
• Multitask Learning

  1997cited by this paper
• On the Translocation of Masses

  1958cited by this paper

• A CNN-based multi-material classification system based on supercontinuum generation in HNL-DSF

  2026cites this paper
• Hybrid deep learning framework MedFusionNet assists multilabel biomedical risk stratification from imaging and tabular data

  2026cites this paper
• Supervised Multilabel Image Classification Using Residual Networks with Probabilistic Reasoning

  2025cites this paper
• Art-Style Classification Using MobileNetV2: A Deep Learning Approach

  2025influential citation
• Intelligent detection and classification of tetracycline drugs by rare earth fluorescence sensing platform based on deep learning algorithm and STM32 microcontroller

  2025cites this paper
• Optimizing ResNet-50 for Multiclass Classification: A Multi-Stage Learning Approach

  2025cites this paper
• Data integrity of food and machine learning: Strategies, advances and prospective.

  2025cites this paper
• APRIMORANDO A TÉCNICA SMALL LOSS APPROACH PARA LIDAR COM AMOSTRAS RUIDOSAS EM MODELOS DEEP LEARNING

  2025cites this paper
• Enhancing Citrus Disease Categorization with Deep Learning Optimization

  2025cites this paper
• Dynamic Reinforcement Learning for Optimal Go AI Training: Adaptive Adjustment and Optimization

  2025cites this paper
• Peningkatan Keberagaman Data untuk Klasifikasi Penyakit Diabetes Berbasis Stacking Ensemble Learning

  2025cites this paper
• Dynamic domain adaptive EEG emotion recognition based on multi-source selection.

  2025cites this paper
• Joint Feature Disentanglement and Graph-Based Label Relation Modeling for Multi-Label Classification

  2025cites this paper
• Effectiveness of Teachable Machine, mobile net, and YOLO for object detection: A comparative study on practical applications

  2025cites this paper
• Application of deep learning models for pest detection and identification

  2025cites this paper
• An augmented multi-label neural network-based approach for text classification in small and unbalanced datasets: the case of digital innovation in the EIP-AGRI Operational Groups

  2025cites this paper
• Automatic weed quantification in potato crops based on a modified convolutional neural network using drone images

  2025cites this paper
• Flow pattern recognition model based on deep neural networks using only an in-service dual-frequency Coriolis flowmeter

  2025cites this paper
• Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection

  2024cites this paper
• A hybrid facial features extraction-based classification framework for typhlotic people

  2024cites this paper
• A convolutional neural network approach to classifying urban spaces using generative tools for data augmentation

  2024cites this paper
• Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection

  2024cites this paper
• Deep Learning for Multi-Label Learning: A Comprehensive Survey

  2024cites this paper
• Multiple inputs modeling of hybrid convolutional neural networks for human activity recognition

  2024cites this paper
• Multi-input trademark element recognition with transformer

  2024cites this paper
• LA-RCNN: Luong attention-recurrent- convolutional neural network for EV charging load prediction

  2024cites this paper
• Advancing differential diagnosis: a comprehensive review of deep learning approaches for differentiating tuberculosis, pneumonia, and COVID-19

  2024cites this paper
• Neural network quaternion-based controller for port-Hamiltonian system

  2024cites this paper
• Label correlation preserving visual-semantic joint embedding for multi-label zero-shot learning

  2024cites this paper
• Image description using tags latent concepts in convolutional neural networks

  2024cites this paper
• The comparative experimental study of rehabilitation program decision for spinal cord injury based on electronic medical records

  2024cites this paper
• Confusion Matrices: A Unified Theory

  2024cites this paper
• A Comparative Study of Modern Activation Functions on Multi-Label CNNs to Predict Genres Based on Movie Posters

  2024cites this paper
• Classification of hundreds of classes: A case study in a bank internal control department

  2023cites this paper
• Maize-YOLO: A New High-Precision and Real-Time Method for Maize Pest Detection

  2023cites this paper
• Diagnosis and Classification of Cardiac Arrhythmias Using Convolutional Neural Networks

  2023cites this paper
• Early detection of diabetes potential using cataract image processing approach

  2023cites this paper
• Machine learning based assessment of preclinical health questionnaires

  2023cites this paper
• Image classification model based on self-supervised deep learning

  2023cites this paper
• Improved learning by using a modified activation function of a Convolutional Neural Network in multi-spectral image classification

  2023cites this paper
• Label Update Based Partial Label Learning for Remote Sensing Scene Classification

  2023cites this paper
• Bus voltage stability control of DC microgrid considering voltage constraints

  2023cites this paper
• Performance Evaluation of Face Recognition Model in Deep Learning using Old Facial Photos: A Mathematical Modelling Using SVM Supervised Learning

  2023cites this paper
• Development of an Algorithm for Multicriteria Optimization of Deep Learning Neural Networks

  2023cites this paper
• Machine Learning and Social Media Harvesting for Wildfire Prevention

  2023cites this paper
• Comparison of the Application of FNN and LSTM Based on the Use of Modules of Artificial Neural Networks in Generating an Individual Knowledge Testing Trajectory

  2023cites this paper
• Dish detection in food platters: A framework for automated diet logging and nutrition management

  2023cites this paper
• Detection of the Types of Consumable Saltwater Fish in the Coastal Area of Likupang

  2022cites this paper