All Stories

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