All Stories

  1. Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention
  2. A computational learning pipeline for glaucoma progression detection based on the prediction of visual field changes from fundus photographs
  3. Towards building robust models for unimodal and multimodal medical imaging data
  4. QTopic: A novel quantum perspective on learning topics from text
  5. A semi-supervised approach for classifying insect developmental phases from repurposed IP102
  6. Automatic pixel-level annotation for plant disease severity estimation
  7. Real-time fault detection in multirotor UAVs using lightweight deep learning and high-fidelity simulation data with single and double fault magnitudes
  8. Conditional plane-based multi-scene representation for novel view synthesis
  9. Deep learning-based analysis of insect life stages using a repurposed dataset
  10. Enhanced concrete crack segmentation with MSMC-U-Net: integrating multiscale features and contextual analysis for infrastructure safety
  11. An infrared multi-object tracking method for automatic circadian behavior analysis of adult Tuta absoluta
  12. 3D-CDNeT: Cross-domain learning with enhanced speed and robustness for point cloud recognition
  13. GNF: Gaussian Neural Fields for Multidimensional Signal Representation and Reconstruction
  14. VimGeo: An Efficient Visual Model for Cross-View Geo-Localization
  15. Analytical quality control in targeted lipidomics: Evaluating the performance of commercial plasma as a surrogate for pooled study samples
  16. Deep Learning based Payload Optimization for Image Transmission over LoRa with HARQ
  17. Auxiliary Tasks Enhanced Dual-Affinity Learning for Weakly Supervised Semantic Segmentation
  18. A transformer-based few-shot learning pipeline for barley disease detection from field-collected imagery
  19. Morphology-based weed type recognition using Siamese network
  20. Unsupervised Anomaly Detection for Improving Adversarial Robustness of 3D Object Detection Models
  21. Black-box Explainability-Guided Adversarial Attack For 3D Object Tracking
  22. Dual-Phase Framework for Few-Shot Hyperspectral Image Classification with Spatiospectral Masked Autoencoder and Episode Training
  23. Hierarchical Wavelet Decomposition Network for Water-Related Optical Image Enhancement
  24. Multiscale guided attention network for optic disc segmentation of retinal images
  25. RSUIA: Dynamic No-Reference Underwater Image Assessment via Reinforcement Sequences
  26. Multi-Modal Stream Focusing Salient Object Detection based on Visible-Infrared Complementary Fusion
  27. Deep learning for 3D object recognition: A survey
  28. Contextual Attribution Maps-Guided Transferable Adversarial Attack for 3D Object Detection
  29. A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-Shaped Structures
  30. Barley disease recognition using deep neural networks
  31. Collectively advancing deep learning for animal detection in drone imagery: Successes, challenges, and research gaps
  32. Adaptive variational decomposition for water-related optical image enhancement
  33. Diffusion Models-Based Purification for Common Corruptions on Robust 3D Object Detection
  34. Deep Learning-based Depth Estimation Methods from Monocular Image and Videos: A Comprehensive Survey
  35. Early frost detection in wheat using machine learning from vertical temperature distributions
  36. An ensembled method for predicting dissolved oxygen level in aquaculture environment
  37. LoRa-based outdoor localization and tracking using unsupervised symbolization
  38. LoRa localisation using single mobile gateway
  39. Plant disease recognition in a low data scenario using few-shot learning
  40. Multi-task learning model for agricultural pest detection from crop-plant imagery: A Bayesian approach
  41. Object-level benchmark for deep learning-based detection and classification of weed species
  42. DRC: Chromatic aberration intensity priors for underwater image enhancement
  43. A Pixel Distribution Remapping and Multi-Prior Retinex Variational Model for Underwater Image Enhancement
  44. Conditional Plane-Based Multi-Scene Representation for Novel View Synthesis
  45. Topology-aware universal adversarial attack on 3D object tracking
  46. Image patch-based deep learning approach for crop and weed recognition
  47. Development and internal validation of machine learning–based models and external validation of existing risk scores for outcome prediction in patients with ischaemic stroke
  48. An AUC-maximizing classifier for skewed and partially labeled data with an application in clinical prediction modeling
  49. Cross domain 2D-3D descriptor matching for unconstrained 6-DOF pose estimation
  50. Machine learning-based detection of frost events in wheat plants from infrared thermography
  51. Deep learning based classification of sheep behaviour from accelerometer data with imbalance
  52. An Intra-BRNN and GB-RVQ Based END-TO-END Neural Audio Codec
  53. A Novel AUC Maximization Imbalanced Learning Approach for Predicting Composite Outcomes in COVID-19 Hospitalized Patients
  54. Machine learning‐based LoRa localisation using multiple received signal features
  55. Transport of pilgrims during Hajj: Evidence from a discrete event simulation study
  56. A survey of image-based computational learning techniques for frost detection in plants
  57. Anti-aliasing deep image classifiers using novel depth adaptive blurring and activation function
  58. Lambing event detection using deep learning from accelerometer data
  59. MCE-ST: Classifying crop stress using hyperspectral data with a multiscale conformer encoder and spectral-based tokens
  60. An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systems
  61. Deep learning-based detection of aphid colonies on plants from a reconstructed Brassica image dataset
  62. Renewable Energy-Based Energy-Efficient Off-Grid Base Stations for Heterogeneous Network
  63. Automatic and fast classification of barley grains from images: A deep learning approach
  64. Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation
  65. SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification
  66. Deep Network with Score Level Fusion and Inference-Based Transfer Learning to Recognize Leaf Blight and Fruit Rot Diseases of Eggplant
  67. Machine learning-based detection of freezing events using infrared thermography
  68. Insect detection from imagery using YOLOv3-based adaptive feature fusion convolution network
  69. Adversary Distillation for One-Shot Attacks on 3D Target Tracking
  70. Weed recognition using deep learning techniques on class-imbalanced imagery
  71. A reinforcement learning-based approach for imputing missing data
  72. Erratum to “Progressive conditional GAN-based augmentation for 3D object recognition” [Neurocomputing 460 (2021) 20–30]
  73. Integrated generalized zero-shot learning for fine-grained classification
  74. Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning
  75. MSGANet-RAV: A multiscale guided attention network for artery-vein segmentation and classification from optic disc and retinal images
  76. Anomaly detection in a forensic timeline with deep autoencoders
  77. Adversarial point cloud perturbations against 3D object detection in autonomous driving systems
  78. Real time surveillance for low resolution and limited data scenarios: An image set classification approach
  79. Progressive conditional GAN-based augmentation for 3D object recognition
  80. Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation
  81. Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative data
  82. Imputation of missing data with class imbalance using conditional generative adversarial networks
  83. Anomaly Detection in Operating System Logs with Deep Learning-Based Sentiment Analysis
  84. PD-Net: Point Dropping Network for Flexible Adversarial Example Generation with $L_{0}$ Regularization
  85. CurveNet: Curvature-Based Multitask Learning Deep Networks for 3D Object Recognition
  86. A survey of deep learning techniques for weed detection from images
  87. Machine Learning Based Prediction Model for Using Non-steroidal Anti-inflammatory Drugs on Risk of Adverse Events
  88. Adversarial Network With Multiple Classifiers for Open Set Domain Adaptation
  89. Atrous convolutional feature network for weakly supervised semantic segmentation
  90. Modelling Mass Crowd Using Discrete Event Simulation: A Case Study of Integrated Tawaf and Sayee Rituals During Hajj
  91. Robust Image Classification Using a Low-Pass Activation Function and DCT Augmentation
  92. Text to Image Synthesis for Improved Image Captioning
  93. Deep Boltzmann machine for corrosion classification using eddy current pulsed thermography
  94. A High-Performance Spectral-Spatial Residual Network for Hyperspectral Image Classification with Small Training Data
  95. Diffusion Geometry Derived Keypoints and Local Descriptors for 3D Deformable Shape Analysis
  96. Performance Evaluation of Anomaly Detection in Imbalanced System Log Data
  97. A review of the uses of virtual reality in engineering education
  98. Multi-Task Learning for Acoustic Event Detection Using Event and Frame Position Information
  99. Automatic Event Log Abstraction to Support Forensic Investigation
  100. Automatic Hierarchical Classification of Kelps Using Deep Residual Features
  101. 3D Object Classification Using a Volumetric Deep Neural Network: An Efficient Octree Guided Auxiliary Learning Approach
  102. Learning Latent Global Network for Skeleton-Based Action Prediction
  103. RCNN for Region of Interest Detection in Whole Slide Images
  104. ResFeats: Residual network based features for underwater image classification
  105. Scale-Aware Feature Network for Weakly Supervised Semantic Segmentation
  106. Sentiment Analysis in a Forensic Timeline With Deep Learning
  107. Sound Event Detection Using Multiple Optimized Kernels
  108. Bi-SAN-CAP: Bi-Directional Self-Attention for Image Captioning
  109. Deep Fusion Net for Coral Classification in Fluorescence and Reflectance Images
  110. Improving Follicular Lymphoma Identification using the Class of Interest for Transfer Learning
  111. A Comprehensive Survey of Deep Learning for Image Captioning
  112. Automatic detection of Western rock lobster using synthetic data
  113. Deep learning-based 3D local feature descriptor from Mercator projections
  114. Coral Classification Using DenseNet and Cross-modality Transfer Learning
  115. Language Modeling through Long-Term Memory Network
  116. Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or death
  117. A survey on forensic investigation of operating system logs
  118. Auxiliary Classifier Generative Adversarial Network With Soft Labels in Imbalanced Acoustic Event Detection
  119. An Improved Approach to Weakly Supervised Semantic Segmentation
  120. A Survey: Neural Network-Based Deep Learning for Acoustic Event Detection
  121. Automatic Graph-Based Clustering for Security Logs
  122. Machine learning‐based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics
  123. Enhancing Semantic Word Representations by Embedding Deep Word Relationships
  124. Deep Image Representations for Coral Image Classification
  125. NormalNet: A voxel-based CNN for 3D object classification and retrieval
  126. Attention-Based Image Captioning Using DenseNet Features
  127. Body Detection in Spectator Crowd Images Using Partial Heads
  128. Deep Learning for Marine Species Recognition
  129. Deep Learning for Scene Understanding
  130. Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Clouds
  131. Enhanced Transfer Learning with ImageNet Trained Classification Layer
  132. Global Regularizer and Temporal-Aware Cross-Entropy for Skeleton-Based Early Action Recognition
  133. Learning-Based Confidence Estimation for Multi-modal Classifier Fusion
  134. MON: Multiple Output Neurons
  135. Review of Modelling and Simulating Crowds at Mass Gathering Events: Hajj as a Case Study
  136. WNet: Joint Multiple Head Detection and Head Pose Estimation from a Spectator Crowd Image
  137. Generalized Joint Sparse Representation for Multimodal Biometric Fusion of Heterogeneous Features
  138. Acoustic Scene Classification Using Joint Time-Frequency Image-Based Feature Representations
  139. Spectrotemporal Analysis Using Local Binary Pattern Variants for Acoustic Scene Classification
  140. A Multi-Modal, Discriminative and Spatially Invariant CNN for RGB-D Object Labeling
  141. Exploiting layerwise convexity of rectifier networks with sign constrained weights
  142. Random forest classification based acoustic event detection utilizing contextual-information and bottleneck features
  143. Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
  144. Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction
  145. Local Binary Pattern with Random Forest for Acoustic Scene Classification
  146. Learning Clip Representations for Skeleton-Based 3D Action Recognition
  147. Classification of Corals in Reflectance and Fluorescence Images Using Convolutional Neural Network Representations
  148. Confidence Based Acoustic Event Detection
  149. Machine learning in heart failure
  150. Consumer Perceptions in the Adoption of the Electronic Health Records in Australia: A Pilot Study
  151. Identity Adaptation for Person Re-Identification
  152. Scale space clustering evolution for salient region detection on 3D deformable shapes
  153. Resfeats: Residual network based features for image classification
  154. Frame-Wise Dynamic Threshold Based Polyphonic Acoustic Event Detection
  155. A New Representation of Skeleton Sequences for 3D Action Recognition
  156. Efficient Image Set Classification Using Linear Regression Based Image Reconstruction
  157. Random forest classification based acoustic event detection
  158. Random forest regression based acoustic event detection with bottleneck features
  159. A Novel Fusion Method for Forward-Looking Sonar Image Mosaic
  160. Discriminative feature learning and region consistency activation for robust scene labeling
  161. Graph clustering and anomaly detection of access control log for forensic purposes
  162. RGB-D Object Recognition and Grasp Detection Using Hierarchical Cascaded Forests
  163. SkeletonNet: Mining Deep Part Features for 3-D Action Recognition
  164. A usability evaluation of Neuromender's upper limb game-based rehabilitation system for stroke survivors
  165. Enhanced LBP texture features from time frequency representations for acoustic scene classification
  166. A Joint Deep Boltzmann Machine (jDBM) Model for Person Identification Using Mobile Phone Data
  167. Multi-level Search of a Knowledgebase for Semantic Parsing
  168. Reinforced Memory Network for Question Answering
  169. Audio-visual biometric recognition via joint sparse representations
  170. EI3D: Expression-invariant 3D face recognition based on feature and shape matching
  171. Automatic annotation of coral reefs using deep learning
  172. Coral classification with hybrid feature representations
  173. Forward-looking sonar image registration using polar transform
  174. A Discriminative Representation of Convolutional Features for Indoor Scene Recognition
  175. Simultaneous dense scene reconstruction and object labeling
  176. Automatic Shadow Detection and Removal from a Single Image
  177. Heat propagation contours for 3D non-rigid shape analysis
  178. Binary Descriptor Based on Heat Diffusion for Non-rigid Shape Analysis
  179. Deep Boltzmann Machines for i-Vector Based Audio-Visual Person Identification
  180. Human Interaction Prediction Using Deep Temporal Features
  181. Contractive Rectifier Networks for Nonlinear Maximum Margin Classification
  182. Unsupervised segmentation of unknown objects in complex environments
  183. A deep neural network for audio-visual person recognition
  184. Discriminative feature learning for efficient RGB-D object recognition
  185. Outdoor scene labelling with learned features and region consistency activation
  186. Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images
  187. Separating objects and clutter in indoor scenes
  188. Efficient RGB-D object categorization using cascaded ensembles of randomized decision trees
  189. A Comprehensive Performance Evaluation of 3D Local Feature Descriptors
  190. An Integrated Framework for 3-D Modeling, Object Detection, and Pose Estimation From Point-Clouds
  191. A novel local surface feature for 3D object recognition under clutter and occlusion
  192. A confidence-based late fusion framework for audio-visual biometric identification
  193. Heterogeneous Multi-column ConvNets with a Fusion Framework for Object Recognition
  194. Performance Evaluation of 3D Local Feature Descriptors
  195. Sign Constrained Rectifier Networks with Applications to Pattern Decompositions
  196. 3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey
  197. A model-free approach for the segmentation of unknown objects
  198. An Accurate and Robust Range Image Registration Algorithm for 3D Object Modeling
  199. Automatic Feature Learning for Robust Shadow Detection
  200. Quantitative Error Analysis of Bilateral Filtering
  201. Geometry Driven Semantic Labeling of Indoor Scenes
  202. Model-Free Segmentation and Grasp Selection of Unknown Stacked Objects
  203. An efficient reliability estimation technique for audio-visual person identification
  204. Integrating shape and color cues for textured 3D object recognition
  205. Real-time pose estimation of rigid objects using RGB-D imagery
  206. Rotational Projection Statistics for 3D Local Surface Description and Object Recognition
  207. Linear Regression-based Classifier for audio visual person identification
  208. RoPS: A local feature descriptor for 3D rigid objects based on rotational projection statistics
  209. 3D free form object recognition using rotational projection statistics
  210. A low cost 3D markerless system for the reconstruction of athletic techniques
  211. Sliding-Window Designs for Vertex-Based Shape Coding
  212. Geometric distortion measurement for shape coding
  213. Robust pose invariant shape-based hand recognition
  214. Spatial shape error concealment utilising image texture
  215. Bezier curve-based generic shape encoder
  216. Image Dependent Spatial Shape Error Concealment for Multiple Shapes
  217. Distortion measurement using arc-length-parameterisation within a vertex-based shape coding framework
  218. Dynamic Bezier curves for variable rate-distortion
  219. Image-dependent spatial shape-error concealment
  220. Quasi-Bezier curves integrating localised information
  221. New Dynamic Enhancements to the Vertex-Based Rate-Distortion Optimal Shape Coding Framework
  222. Fast Distortion Measurement Using Chord-Length Parameterization Within the Vertex-Based Rate-Distortion Optimal Shape Coding Framework
  223. Bezier Curve-Based Character Descriptor Considering Shape Information
  224. Variable Width Admissible Control Point Band for Vertex Based Operational-Rate-Distortion Optimal Shape Coding Algorithms
  225. Accurate distortion measurement for generic shape coding
  226. Dynamic Sliding Window Width Selection Strategies for Rate-Distortion Optimal Vertex-Based Shape Coding Algorithms
  227. A Novel Half-Way Shifting Bezier Curve Model
  228. A dynamic Bezier curve model
  229. An Improved Shape Descriptor Using Bezier Curves
  230. Video Coding for Mobile Communications
  231. Enhanced Bezier Curve Models Incorporating Local Information