All Stories

  1. A constraint-based causal model for feature selection in cancer risk prognosis
  2. A multi-channel spatio-temporal causal network model for cognitive load recognition with physiological signals
  3. Predicting cancer risks by a deep causal network with unobserved deconfounding
  4. Predicting prostate cancer risks by a deep causal learning network from magnetic resonance imaging images
  5. Identifying non-small cell lung cancer subtypes by a hybrid representative causal network with computed tomography images
  6. Fault-Tolerant Design and Multi-Objective Model Checking for Real-Time Deep Reinforcement Learning Systems
  7. DualAttendMed: A coarse-to-fine dual-stage attention framework for interpretable disease localization and classification
  8. From 2D to 3D: A Generative Model from Single Image to Digital 3D of Chinese Three Gorges Cultural Relics
  9. Predicting Car-Engine Manufacturing Quality with Multi-Sensor Data of Manufacturing Assembly Process
  10. CausalFall: Fall prediction wearing motion sensors from a causal perspective
  11. EffiShapeFormer: Shapelet-Based Sensor Time Series Classification with Dual Filtering and Convolutional-Inverted Attention
  12. Measuring cognitive load by a score-based causal network model with multichannel physiological signals
  13. Learning Generalizable Visual Representations with Causal Diffusion Model for Controllable Editing
  14. Gradient-Guided Causal Attention Mechanism for Interpretable Skin Lesion Classification
  15. CARR: Context-Aware Chest X-Ray Report Generation with Retrieval-Augmented Compression and Adaptive Prompting
  16. Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting
  17. CDSF: A curvature-driven semi-supervised framework with dynamic receptive fields for fine-grained vehicle component segmentation
  18. Enhancing self‐directed learning and Python mastery through integration of a large language model and learning analytics dashboard
  19. Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation
  20. A real-time system for fall prediction and protection with spatio-temporal graph neural network using multiple motion sensors
  21. DRM4Rec: A Doubly Robust Matching Approach for Recommender System Evaluation
  22. FER-Former: Multimodal Transformer for Facial Expression Recognition
  23. Spatio-Temporal Analysis of Urban Leisure Consumption Activities Based on Autoencoder and Multi-Source Data: A Case Study of Chongqing, China
  24. Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference
  25. Workflow Trace Profiling and Execution Time Analysis in Quantitative Verification
  26. Multi-attentional causal intervention networks for medical image diagnosis
  27. A survey of causal discovery based on functional causal model
  28. A spatio-temporal graph neural network for fall prediction with inertial sensors
  29. Controllable image generation based on causal representation learning
  30. Recognizing wearable upper-limb rehabilitation gestures by a hybrid multi-feature neural network
  31. Causal Discovery Evaluation Framework in the Absence of Ground-Truth Causal Graph
  32. Student-AI Question Cocreation for Enhancing Reading Comprehension
  33. Pareto Invariant Representation Learning for Multimedia Recommendation
  34. MRI Radiomics-Based Machine Learning Models for Ki67 Expression and Gleason Grade Group Prediction in Prostate Cancer
  35. Counterfactual-based minority oversampling for imbalanced classification
  36. A review of wearable sensors based fall-related recognition systems
  37. Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in Transfer Learning
  38. The Efficient-CapsNet model for facial expression recognition
  39. Deep learning for image colorization: Current and future prospects
  40. Causality fields in nonlinear causal effect analysis
  41. A single smartwatch-based segmentation approach in human activity recognition
  42. CMGAN: A generative adversarial network embedded with causal matrix
  43. Quantitative Verification for Monitoring Event-Streaming Systems
  44. FIGCI: Flow-Based Information-Geometric Causal Inference
  45. Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network
  46. Cropping and attention based approach for masked face recognition
  47. HierHAR: Sensor-Based Data-Driven Hierarchical Human Activity Recognition
  48. Recognizing Complex Activities by a Temporal Causal Network-Based Model
  49. Recognizing Skeleton-Based Hand Gestures by a Spatio-Temporal Network
  50. A Miniaturized Dual-Slider Linear Actuator Using Electrostatic Adhesion and Inertia Drive
  51. Locality adaptive preserving projections for linear dimensionality reduction
  52. Wavelet packet analysis for speaker-independent emotion recognition
  53. Prediction of Breast Cancer, Comparative Review of Machine Learning Techniques, and Their Analysis
  54. Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope
  55. Group awareness increases student engagement in online collaborative writing
  56. Learning Structures of Interval-Based Bayesian networks in Probabilistic Generative Model for Human Complex Activity Recognition
  57. Recognizing Character-Matching CAPTCHA Using Convolutional Neural Networks with Triple Loss
  58. Recognizing Diseases from Physiological Time Series Data Using Probabilistic Model
  59. Gesture Recognition Based on Accelerometer and Gyroscope and Its Application in Medical and Smart Homes
  60. A Survey on Vision-Based Hand Gesture Recognition
  61. Nondestructive measurement of internal quality attributes of apple fruit by using NIR spectroscopy
  62. Predicting Beijing's tertiary industry with an improved grey model
  63. Complex activity recognition using time series pattern dictionary learned from ubiquitous sensors
  64. An influence power-based clustering approach with PageRank-like model
  65. Towards unsupervised physical activity recognition using smartphone accelerometers
  66. K-PRSCAN: A clustering method based on PageRank
  67. Sensor-based human activity recognition system with a multilayered model using time series shapelets
  68. A Self-Adaptive Hidden Markov Model for Emotion Classification in Chinese Microblogs
  69. A Rolling Grey Model Optimized by Particle Swarm Optimization in Economic Prediction
  70. An Intelligence Optimized Rolling Grey Forecasting Model Fitting to Small Economic Dataset
  71. Ubiquitous awareness and intelligent solutions lab