All Stories

  1. Automatic Dataset Type Recognition for Association Rule Mining
  2. Sentiment Dimensions and Intentions in Scientific Analysis: Multilevel Classification in Text and Citations
  3. Introducing SPINE: A Holistic Approach to Synthetic Pulmonary Imaging Evaluation Through End-to-End Data and Model Management
  4. Optimizing Melanoma Prognosis Through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction
  5. Recommendation Systems for e-Shopping: Review of Techniques for Retail and Sustainable Marketing
  6. A Machine Learning Approach for Rainfall Nowcasting Using Numerical Model and Observational Data
  7. Integrating Augmented Reality, Gamification, and Serious Games in Computer Science Education
  8. A Flexible Session-Based Recommender System for e-Commerce
  9. Session-Based Recommendations for e-Commerce with Graph-Based Data Modeling
  10. Augmented Reality and Virtual Reality in Education: Public Perspectives, Sentiments, Attitudes, and Discourses
  11. Augmented Reality and Gamification in Education: A Systematic Literature Review of Research, Applications, and Empirical Studies
  12. Towards a DHH Accessible Theater: Real-Time Synchronization of Subtitles and Sign Language Videos with ASR and NLP Solutions
  13. KT-Bi-GRU: Student Performance Prediction with a Recurrent Knowledge Tracing Neural Network
  14. KT-Bi-GRU: Student Performance Prediction with a Recurrent Knowledge Tracing Neural Network
  15. Semantically Enriched Augmented Reality Applications: A Proposed System Architecture and a Case Study
  16. Comparison of RNN and Embeddings Methods for Next-item and Last-basket Session-based Recommendations
  17. A Graph-based Method for Session-based Recommendations
  18. Enhancing the functionality of augmented reality using deep learning, semantic web and knowledge graphs: A review
  19. Behind the cues: A benchmarking study for fake news detection
  20. Neural Networks and Principal Component Analysis
  21. Predicting bulk density using pedotransfer functions for soils in the Upper Anthemountas basin, Greece
  22. CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification
  23. Sentiment analysis leveraging emotions and word embeddings
  24. Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm
  25. Data privacy protection by kernel subspace projection and generalized eigenvalue decomposition
  26. Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation
  27. Adaptive margin slack minimization in RKHS for classification
  28. Efficient Support Vector Machine Classification Using Prototype Selection and Generation
  29. A metaheuristic bandwidth allocation scheme for FiWi networks using Ant Colony Optimization
  30. A neural network architecture for solving nxn systems of non linear equations
  31. A comparison of machine learning techniques for customer churn prediction
  32. Market sentiment and exchange rate directional forecasting
  33. Efficient binary classification through energy minimisation of slack variables
  34. Efficient data classification by GPU-accelerated linear mean squared slack minimization
  35. Analyzing data into quantized components
  36. Estimating 2-cycle fixed points of henon map using backpropagation neural networks
  37. Ridge-adjusted Slack Variable Optimization for supervised classification
  38. Multi-Input Single-Output Nonlinear Blind Separation of Binary Sources
  39. Binary classification by minimizing the mean squared slack
  40. Trends in Machine Learning for Signal Processing [In the Spotlight]
  41. Editorial for the special issue ICANN-2010
  42. Blind separation of multiple binary sources from one nonlinear mixture
  43. Blind Deconvolution of Multi-Input Single-Output Systems Using the Distribution of Point Distances
  44. Blind separation of three binary sources from one nonlinear mixture
  45. Separating two binary sources from a single nonlinear mixture
  46. Guest Editorial: Special Issue on Machine Learning for Signal Processing
  47. Applying PCA neural models for the blind separation of signals
  48. Blind MISO deconvolution using the distribution of output differences
  49. Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures
  50. An Efficient Subspace Method for the Blind Identification of Multichannel FIR Systems
  51. From Low-Level Features to Semantic Classes: Spatial and Temporal Descriptors for Video Indexing
  52. Blind separation of two multi-level sources from a single linear mixture
  53. Blind system identification: instantaneous mixtures ofnsources
  54. Support Vector Machines Content-Based Video Retrieval based solely on Motion Information
  55. Analytical Solution of the Blind Identification Problem for Multichannel FIR Systems Based on Second Order Statistics
  56. Preface
  57. Blind Deconvolution of Multi-Input Single-Output Systems With Binary Sources
  58. Subspace-Based Channel Shortening for the Blind Separation of Convolutive Mixtures
  59. Channel Shortening of Multi-Input Multi-Output Convolutive Systems with Binary Sources
  60. Blind Multichannel Deconvolution Using Subspace-Based Single Delay Channel Deflation
  61. A clustering approach for the blind separation of multiple finite alphabet sequences from a single linear mixture
  62. Blind separation of reflections using the image mixtures ratio
  63. Video Scene Segmentation Using Spatial Contours and 3-D Robust Motion Estimation
  64. Blind MIMO FIR channel identification based on second-order spectra correlations
  65. On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics
  66. Blind channel identification based on the geometry of the received signal constellation
  67. Subspace design of low-rank estimators for higher-order statistics
  68. Blind Source Separation Using Principal Component Neural Networks
  69. Optimal reconstruction from quantized data
  70. Robust estimation of rigid-body 3-D motion parameters based on point correspondences
  71. Blind two-input-two-output FIR channel identification based on frequency domain second-order statistics
  72. Optimal linear compression under unreliable representation and robust PCA neural models
  73. Optimal transform coding in the presence of quantization noise
  74. Neural classifiers using one-time updating
  75. Blind adaptive multiuser detection in multipath CDMA channels based on subspace tracking
  76. ECG analysis using nonlinear PCA neural networks for ischemia detection
  77. Adaptive Principal component EXtraction (APEX) and applications
  78. Cross-correlation neural network models
  79. Multilayer neural networks for reduced-rank approximation
  80. A new transition count method for testing of logic circuits
  81. Robust principal component extracting neural networks
  82. Camera motion parameter recovery under perspective projection
  83. Occlusion resistant object tracking
  84. Ischemic classification techniques using an advanced neural network algorithm
  85. PCA neural models and blind signal separation
  86. ST segment nonlinear principal component analysis for ischemia detection
  87. Neural networks for extracting unsymmetric principal components
  88. MIMO blind deconvolution using subspace-based filter deflation
  89. A Very Fast and Efficient Linear Classification Algorithm
  90. Blind Deconvolution of Multi-Input Single-Output Systems with Binary Sources
  91. Temporal filtering and oriented PCA neural networks for blind source separation
  92. Blind identification of linear channels using the data constellation geometry