All Stories

  1. AcME—Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box
  2. Classifying Circumnutation in Pea Plants via Supervised Machine Learning
  3. Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets
  4. Algorithmic fairness datasets: the story so far
  5. A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points
  6. TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios
  7. A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study
  8. A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems
  9. FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment
  10. An Autoencoder-Based Approach for Fault Detection in Multi-Stage Manufacturing: A Sputter Deposition and Rapid Thermal Processing Case Study
  11. Guest Editorial Process-Level Machine Learning Applications in Semiconductor Manufacturing
  12. Identifying Faked Responses in Questionnaires with Self-Attention-Based Autoencoders
  13. IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces
  14. Learning to rank from relevance judgments distributions
  15. An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery
  16. A Scalable Deep Learning-Based Approach for Anomaly Detection in Semiconductor Manufacturing
  17. Fault Detection of Bearing: An Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction
  18. DBAM: Making Virtual Metrology/Soft sensing with time series data scalable through Deep Learning
  19. Uncertainty Estimation for Machine Learning Models in Multiphase Flow Applications
  20. A Review of Tree-Based Approaches for Anomaly Detection
  21. Machine Learning-based Anomaly Detection for Particle Accelerators
  22. Exploiting 2D Coordinates as Bayesian Priors for Deep Learning Defect Classification of SEM Images
  23. Discrimination in pricing and access to Italian car insurance.
  24. AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data
  25. A Machine Learning-based Approach for Advanced Monitoring of Automated Equipment for the Entertainment Industry
  26. Incentives for Item Duplication Under Fair Ranking Policies
  27. Neural Feature Selection for Learning to Rank
  28. Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation
  29. Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing
  30. Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms
  31. Proximal Deterministic Policy Gradient
  32. Sensor Fusion and Machine Learning Techniques to Improve Water Cut Measurements Accuracy In Multiphase Application
  33. Optimizing Microbiota Profiles for Athletes
  34. Self-Diagnosis of Multiphase Flow Meters through Machine Learning-Based Anomaly Detection
  35. Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations
  36. Directional adversarial training for cost sensitive deep learning classification applications
  37. A Methodology for Efficient Dynamic Spatial Sampling and Reconstruction of Wafer Profiles
  38. A Machine Learning-Based System for Self-Diagnosis Multiphase Flow Meters
  39. Concluding Remarks
  40. Hyperparameter Tuning of the Model for Hunger State Classification
  41. Image Processing Features Extraction on Fish Behaviour
  42. Induced Start Dynamic Sampling for Wafer Metrology Optimization
  43. Introduction
  44. Monitoring and Feeding Integration of Demand Feeder Systems
  45. Time-Series Identification on Fish Feeding Behaviour
  46. β-Variational Classifiers Under Attack
  47. DeepVM: A Deep Learning-based approach with automatic feature extraction for 2D input data Virtual Metrology
  48. Laundry Fabric Classification in Vertical Axis Washing Machines Using Data-Driven Soft Sensors
  49. Detection of Insulin Pump Malfunctioning to Improve Safety in Artificial Pancreas Using Unsupervised Algorithms
  50. Machine Learning-Based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances
  51. Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis
  52. Probabilistic Word Embeddings in Neural IR
  53. Hunger classification of Lates calcarifer by means of an automated feeder and image processing
  54. What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction
  55. A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing
  56. Robot kinematic structure classification from time series of visual data
  57. Supervised Lexicon Extraction for Emotion Classification
  58. A Machine Learning-based Soft Sensor for Laundry Load Fabric Typology Estimation in Household Washer-Dryers
  59. A Random Forest-based Approach for Hand Gesture Recognition with Wireless Wearable Motion Capture Sensors
  60. A deep learning approach for anomaly detection with industrial time series data: a refrigerators manufacturing case study
  61. Deep Learning-based Production Forecasting in Manufacturing: a Packaging Equipment Case Study
  62. Machine Learning approaches for Anomaly Detection in Multiphase Flow Meters
  63. Fault Detection in Artificial Pancreas: A Model-Free approach
  64. A Methodology for Efficient Dynamic Spatial Sampling and Reconstruction of Wafer Profiles
  65. A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning
  66. A Computer Vision-Inspired Deep Learning Architecture for Virtual Metrology Modeling With 2-Dimensional Data
  67. A Soft Sensing Approach for Clothes Load Estimation in Consumer Washing Machines
  68. Soft Sensors for Estimating Laundry Weight in Household Heat Pump Tumble Dryers
  69. Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines
  70. A hidden-Gamma model-based filtering and prediction approach for monotonic health factors in manufacturing
  71. A machine learning approach for gesture recognition with a lensless smart sensor system
  72. Time-Series Classification Methods: Review and Applications to Power Systems Data
  73. A Convolutional Autoencoder Approach for Feature Extraction in Virtual Metrology
  74. A Dynamic Sampling Approach for Cost Reduction in Semiconductor Manufacturing
  75. Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas
  76. On Optimising Spatial Sampling Plans for Wafer Profile Reconstruction ⁎ ⁎The second author gratefully acknowledges the financial support provided by Irish Manufacturing Research (IMR) for this research.
  77. WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews
  78. Deep learning for virtual metrology: Modeling with optical emission spectroscopy data
  79. A multivariate symbolic approach to activity recognition for wearable applications
  80. A dynamic sampling strategy based on confidence level of virtual metrology predictions
  81. Anomaly Detection through on-line Isolation Forest: An application to plasma etching
  82. A Dynamic Sampling strategy based on confidence level of Virtual Metrology predictions
  83. Anomaly detection through on-line isolation Forest: An application to plasma etching
  84. Anomaly Detection Approaches for Semiconductor Manufacturing
  85. Dealing with time-series data in Predictive Maintenance problems
  86. Supervised Aggregative Feature Extraction for Big Data Time Series Regression
  87. A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing
  88. Home Automation Oriented Gesture Classification From Inertial Measurements
  89. Slow release drug dissolution profile prediction in pharmaceutical manufacturing: A multivariate and machine learning approach
  90. Machine Learning for Predictive Maintenance: A Multiple Classifier Approach
  91. Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach
  92. A machine learning based approach for gesture recognition from inertial measurements
  93. An adaptive machine learning decision system for flexible predictive maintenance
  94. Insight extraction for semiconductor manufacturing processes
  95. Root Cause Analysis by a Combined Sparse Classification and Monte Carlo Approach
  96. Prediction of integral type failures in semiconductor manufacturing through classification methods
  97. A predictive maintenance system for integral type faults based on support vector machines: An application to ion implantation
  98. Virtual metrology enabled early stage prediction for enhanced control of multi-stage fabrication processes
  99. Learning from time series: Supervised Aggregative Feature Extraction
  100. A Predictive Maintenance System for Epitaxy Processes Based on Filtering and Prediction Techniques
  101. Least angle regression for semiconductor manufacturing modeling
  102. A virtual metrology system based on least angle regression and statistical clustering
  103. An information-theory and Virtual Metrology-based approach to Run-to-Run semiconductor manufacturing control
  104. Multistep virtual metrology approaches for semiconductor manufacturing processes
  105. A predictive maintenance system based on regularization methods for ion-implantation
  106. Optimal tuning of epitaxy pyrometers
  107. A Virtual Metrology system for predicting CVD thickness with equipment variables and qualitative clustering
  108. A Predictive Maintenance System for Silicon Epitaxial Deposition
  109. Control of PDE–ODE cascades with Neumann interconnections