All Stories

  1. A Persona-based Automated Evaluation Framework for Intelligent AI Teaching Assistants
  2. Self-attention hierarchical kernel reservoir state network for inland water level prediction
  3. Evolutionary Echo State Network Architecture Search for Time-series Prediction
  4. Towards Sentic-Aware Multimodal Models for Cyberbullying Detection in Thai Memes
  5. Highlight Detection in Podcasts: A Multimodal Deep Learning Approach
  6. Weighted error-output recurrent Xavier echo state network for concept drift handling in water level prediction
  7. ToxVI: a Multimodal LLM-based Framework for Generating Intervention in Toxic Code-Mixed Videos
  8. HateThaiSent: Sentiment-Aided Hate Speech Detection in Thai Language
  9. Optimizing echo state networks for continuous gesture recognition in mobile devices: A comparative study
  10. Enhancing Thai Food Recognition Through Multimodal Fusion of Image and Fourier Spectrum
  11. Generating Pseudo-labels for Car Damage Segmentation Using Deep Spectral Method
  12. HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai
  13. Correlated Online k-Nearest Neighbors Regressor Chain for Online Multi-output Regression
  14. Analysis of volumetric 3D reconstruction of lamina cribrosa images from swept-source optical coherence tomography in glaucomatous and healthy subjects
  15. A novel online multi-task learning for COVID-19 multi-output spatio-temporal prediction
  16. CowXNet: An automated cow estrus detection system
  17. Error-output recurrent multi-layer Kernel Reservoir Network for electricity load time series forecasting
  18. An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting
  19. Ex-ThaiHate: A Generative Multi-task Framework for Sentiment and Emotion Aware Hate Speech Detection with Explanation in Thai
  20. SELM: Siamese extreme learning machine with application to face biometrics
  21. Identifying SME customers from click feedback on mobile banking apps: Supervised and semi-supervised approaches
  22. Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning
  23. Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning
  24. Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning
  25. Evaluation of deep learning algorithms for semantic segmentation of car parts
  26. Hybrid Deep Learning Models for Thai Sentiment Analysis
  27. A novel error-output recurrent two-layer extreme learning machine for multi-step time series prediction
  28. Improved Identification of Imbalanced Multiple Annotation Intent Labels with a Hybrid BLSTM and CNN Model and Hybrid Loss Function
  29. An Image Segment-based Classification for Chest X-Ray Image
  30. Efficient distributed SNP selection by a Modified Binary Flower Pollination Algorithm
  31. Discovery of significant porcine SNPs for swine breed identification by a hybrid of information gain, genetic algorithm, and frequency feature selection technique
  32. Semi-supervised learning with deep convolutional generative adversarial networks for canine red blood cells morphology classification
  33. Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification
  34. Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling
  35. Local Sigmoid Method: Non-Iterative Deterministic Learning Algorithm for Automatic Model Construction of Neural Network
  36. Counting and Classification of Malarial Parasite From Giemsa-Stained Thin Film Images
  37. A Scenario-based Analysis of Front-facing Camera Eye Tracker for UX-UI Survey on Mobile Banking App
  38. Hybrid Loss for Improving Classification Performance with Unbalanced Data
  39. SME User Classification from Click Feedback on a Mobile Banking Apps
  40. Hybrid Training of Speaker and Sentence Models for One-Shot Lip Password
  41. SELECTION OF A MINIMAL NUMBER OF SIGNIFICANT PORCINE SNPs BY AN INFORMATION GAIN AND GENETIC ALGORITHM HYBRID MODEL
  42. Thai sentiment analysis with deep learning techniques: A comparative study based on word embedding, POS-tag, and sentic features
  43. A Modified Binary Flower Pollination Algorithm: A Fast and Effective Combination of Feature Selection Techniques for SNP Classification
  44. Image enhancement in embedded devices for internet of things
  45. A hybrid approach to building face shape classifier for hairstyle recommender system
  46. A New Approach to Automatic Heat Detection of Cattle in Video
  47. Detecting Text in Manga Using Stroke Width Transform
  48. Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP
  49. Real-Time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine
  50. Robust and Unified VLC Decoding System for Square Wave Quadrature Amplitude Modulation Using Deep Learning Approach
  51. Square Wave Quadrature Amplitude Modulation for Visible Light Communication Using Image Sensor
  52. Thai Sentiment Analysis via Bidirectional LSTM-CNN Model with Embedding Vectors and Sentic Features
  53. Fashion Finder: A System for Locating Online Stores on Instagram from Product Images
  54. The Disaster Victim Locating System with a Smartphone Without a Telecommunication System
  55. Combining Multiple Features for Product Categorisation by Multiple Kernel Learning
  56. Virtual screening by a new Clustering-based Weighted Similarity Extreme Learning Machine approach
  57. Handling Concept Drift in Time-Series Data: Meta-cognitive Recurrent Recursive-Kernel OS-ELM
  58. Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction
  59. Selection of SNP Subsets for Severity of Beta-thalassaemia Classification Problem
  60. Empirical Monocomponent Image Decomposition
  61. Recurrent kernel online sequential extreme learning machine with kernel adaptive filter for time series prediction
  62. Multiple steps time series prediction by a novel Recurrent Kernel Extreme Learning Machine approach
  63. Utilising Kronecker Decomposition and Tensor-based Multi-view Learning to predict where people are looking in images
  64. Local variance image-based for scene text binarization under illumination effects
  65. Risk Quantification of Metabolic Syndrome with Quantum Particle Swarm Optimisation
  66. A Comparative Study of Machine Learning Techniques for Automatic Product Categorisation
  67. Can Eye Movement Improve Prediction Performance on Human Emotions Toward Images Classification?
  68. Hypothesis testing based on observation from Thai sentiment classification
  69. Water levels forecast in Thailand: A case study of Chao Phraya river
  70. A comparison between shallow and deep architecture classifiers on small dataset
  71. Investigations and comparisons of government open data websites through systematic functional analysis and efficient promotion approach
  72. Modified adaptive thresholding using integral image
  73. Sentiment analysis of Thai children stories
  74. Hairstyle recommendation system for women
  75. Inside Me: A proposal for healthcare mobile application
  76. A coefficient comparison of weighted similarity extreme learning machine for drug screening
  77. An approach to face shape classification for hairstyle recommendation
  78. Analytical Incremental Learning: Fast Constructive Learning Method for Neural Network
  79. Clustering-Based Weighted Extreme Learning Machine for Classification in Drug Discovery Process
  80. Hinge Loss Projection for Classification
  81. Using Image Features and Eye Tracking Device to Predict Human Emotions Towards Abstract Images
  82. A comparative study of feature point matching versus foreground detection for computer detection of dairy cows in video frames
  83. Sign language recognition with microsoft Kinect's depth and colour sensors
  84. Particle-flow interactive animation for painting image
  85. Learning to Predict Where People Look with Tensor-Based Multi-view Learning
  86. Text-background decomposition for thai text localization and recognition in natural scenes
  87. Drug screening with Elastic-net multiple kernel learning
  88. Prediction of reference evapotranspiration with missing data in Thailand
  89. A Comparison of Dimensionality Reduction Techniques in Virtual Screening
  90. Sparse Fisher discriminant analysis with Jeffrey's hyperprior
  91. Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval
  92. Image ranking with implicit feedback from eye movements
  93. Learning relevant eye movement feature spaces across users
  94. Learning to rank images from eye movements
  95. Sparse multinomial kernel discriminant analysis (sMKDA)
  96. A simple iterative algorithm for parsimonious binary kernel Fisher discrimination
  97. Virtual Screening Using Binary Kernel Discrimination:  Effect of Noisy Training Data and the Optimization of Performance