All Stories

  1. On temporally bounded spatial dynamic sampling for metrology optimization
  2. Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent
  3. Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing
  4. Underrepresentation, label bias, and proxies: Towards Data Bias Profiles for the EU AI act and beyond
  5. Towards Continual Visual Anomaly Detection in the Medical Domain
  6. Fortifying smart grid stability: Defending against adversarial attacks and measurement anomalies
  7. Experience: Bridging Data Measurement and Ethical Challenges with Extended Data Briefs
  8. Latent Distillation for Continual Object Detection at the Edge
  9. Edge Delayed Deep Deterministic Policy Gradient: Efficient Continuous Control for Edge Scenarios
  10. Testing Software for Non-discrimination: An Updated and Extended Audit in the Italian Car Insurance Domain
  11. Band Relevance Factor (BRF): A novel automatic frequency band selection method based on vibration analysis for rotating machinery
  12. Enhancing interpretability and generalizability in extended isolation forests
  13. Active Learning-based Isolation Forest (ALIF): Enhancing anomaly detection with expert feedback
  14. Improving robustness with image filtering
  15. On the limitations of adversarial training for robust image classification with convolutional neural networks
  16. Bayesian active learning isolation forest (B-ALIF): A weakly supervised strategy for anomaly detection
  17. Heterogeneous domain adaptation and equipment matching: DANN-based Alignment with Cyclic Supervision (DBACS)
  18. AcME-AD: Accelerated Model Explanations for Anomaly Detection
  19. Adversarially Robust Fault Zone Prediction in Smart Grids With Bayesian Neural Networks
  20. Fault Diagnosis using eXplainable AI: A transfer learning-based approach for rotating machinery exploiting augmented synthetic data
  21. A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring
  22. CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
  23. AcME—Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box
  24. Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest
  25. Pairwise Fairness in Ranking as a Dissatisfaction Measure
  26. Classifying Circumnutation in Pea Plants via Supervised Machine Learning
  27. Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets
  28. Algorithmic fairness datasets: the story so far
  29. A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points
  30. TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios
  31. A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study
  32. A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems
  33. FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment
  34. An Autoencoder-Based Approach for Fault Detection in Multi-Stage Manufacturing: A Sputter Deposition and Rapid Thermal Processing Case Study
  35. Guest Editorial Process-Level Machine Learning Applications in Semiconductor Manufacturing
  36. Identifying Faked Responses in Questionnaires with Self-Attention-Based Autoencoders
  37. IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces
  38. Learning to rank from relevance judgments distributions
  39. An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery
  40. A Scalable Deep Learning-Based Approach for Anomaly Detection in Semiconductor Manufacturing
  41. Fault Detection of Bearing: An Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction
  42. DBAM: Making Virtual Metrology/Soft sensing with time series data scalable through Deep Learning
  43. Uncertainty Estimation for Machine Learning Models in Multiphase Flow Applications
  44. A Review of Tree-Based Approaches for Anomaly Detection
  45. Machine Learning-based Anomaly Detection for Particle Accelerators
  46. Exploiting 2D Coordinates as Bayesian Priors for Deep Learning Defect Classification of SEM Images
  47. Discrimination in pricing and access to Italian car insurance.
  48. AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data
  49. A Machine Learning-based Approach for Advanced Monitoring of Automated Equipment for the Entertainment Industry
  50. Incentives for Item Duplication Under Fair Ranking Policies
  51. Neural Feature Selection for Learning to Rank
  52. Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation
  53. Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing
  54. Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms
  55. Proximal Deterministic Policy Gradient
  56. Sensor Fusion and Machine Learning Techniques to Improve Water Cut Measurements Accuracy In Multiphase Application
  57. Optimizing Microbiota Profiles for Athletes
  58. Self-Diagnosis of Multiphase Flow Meters through Machine Learning-Based Anomaly Detection
  59. Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations
  60. Directional adversarial training for cost sensitive deep learning classification applications
  61. A Methodology for Efficient Dynamic Spatial Sampling and Reconstruction of Wafer Profiles
  62. A Machine Learning-Based System for Self-Diagnosis Multiphase Flow Meters
  63. Concluding Remarks
  64. Hyperparameter Tuning of the Model for Hunger State Classification
  65. Image Processing Features Extraction on Fish Behaviour
  66. Induced Start Dynamic Sampling for Wafer Metrology Optimization
  67. Introduction
  68. Monitoring and Feeding Integration of Demand Feeder Systems
  69. Time-Series Identification on Fish Feeding Behaviour
  70. β-Variational Classifiers Under Attack
  71. DeepVM: A Deep Learning-based approach with automatic feature extraction for 2D input data Virtual Metrology
  72. Laundry Fabric Classification in Vertical Axis Washing Machines Using Data-Driven Soft Sensors
  73. Detection of Insulin Pump Malfunctioning to Improve Safety in Artificial Pancreas Using Unsupervised Algorithms
  74. Machine Learning-Based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances
  75. Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis
  76. Probabilistic Word Embeddings in Neural IR
  77. Hunger classification of Lates calcarifer by means of an automated feeder and image processing
  78. What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction
  79. A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing
  80. Robot kinematic structure classification from time series of visual data
  81. Supervised Lexicon Extraction for Emotion Classification
  82. A Machine Learning-based Soft Sensor for Laundry Load Fabric Typology Estimation in Household Washer-Dryers
  83. A Random Forest-based Approach for Hand Gesture Recognition with Wireless Wearable Motion Capture Sensors
  84. A deep learning approach for anomaly detection with industrial time series data: a refrigerators manufacturing case study
  85. Deep Learning-based Production Forecasting in Manufacturing: a Packaging Equipment Case Study
  86. Machine Learning approaches for Anomaly Detection in Multiphase Flow Meters
  87. Fault Detection in Artificial Pancreas: A Model-Free approach
  88. A Methodology for Efficient Dynamic Spatial Sampling and Reconstruction of Wafer Profiles
  89. A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning
  90. A Computer Vision-Inspired Deep Learning Architecture for Virtual Metrology Modeling With 2-Dimensional Data
  91. A Soft Sensing Approach for Clothes Load Estimation in Consumer Washing Machines
  92. Soft Sensors for Estimating Laundry Weight in Household Heat Pump Tumble Dryers
  93. Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines
  94. A hidden-Gamma model-based filtering and prediction approach for monotonic health factors in manufacturing
  95. A machine learning approach for gesture recognition with a lensless smart sensor system
  96. Time-Series Classification Methods: Review and Applications to Power Systems Data
  97. A Convolutional Autoencoder Approach for Feature Extraction in Virtual Metrology
  98. A Dynamic Sampling Approach for Cost Reduction in Semiconductor Manufacturing
  99. Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas
  100. 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.
  101. WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews
  102. Deep learning for virtual metrology: Modeling with optical emission spectroscopy data
  103. A multivariate symbolic approach to activity recognition for wearable applications
  104. A dynamic sampling strategy based on confidence level of virtual metrology predictions
  105. Anomaly Detection through on-line Isolation Forest: An application to plasma etching
  106. A Dynamic Sampling strategy based on confidence level of Virtual Metrology predictions
  107. Anomaly detection through on-line isolation Forest: An application to plasma etching
  108. Anomaly Detection Approaches for Semiconductor Manufacturing
  109. Dealing with time-series data in Predictive Maintenance problems
  110. Supervised Aggregative Feature Extraction for Big Data Time Series Regression
  111. A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing
  112. Home Automation Oriented Gesture Classification From Inertial Measurements
  113. Slow release drug dissolution profile prediction in pharmaceutical manufacturing: A multivariate and machine learning approach
  114. Machine Learning for Predictive Maintenance: A Multiple Classifier Approach
  115. Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach
  116. A machine learning based approach for gesture recognition from inertial measurements
  117. An adaptive machine learning decision system for flexible predictive maintenance
  118. Insight extraction for semiconductor manufacturing processes
  119. Root Cause Analysis by a Combined Sparse Classification and Monte Carlo Approach
  120. Prediction of integral type failures in semiconductor manufacturing through classification methods
  121. A predictive maintenance system for integral type faults based on support vector machines: An application to ion implantation
  122. Virtual metrology enabled early stage prediction for enhanced control of multi-stage fabrication processes
  123. Learning from time series: Supervised Aggregative Feature Extraction
  124. A Predictive Maintenance System for Epitaxy Processes Based on Filtering and Prediction Techniques
  125. Least angle regression for semiconductor manufacturing modeling
  126. A virtual metrology system based on least angle regression and statistical clustering
  127. An information-theory and Virtual Metrology-based approach to Run-to-Run semiconductor manufacturing control
  128. Multistep virtual metrology approaches for semiconductor manufacturing processes
  129. A predictive maintenance system based on regularization methods for ion-implantation
  130. Optimal tuning of epitaxy pyrometers
  131. A Virtual Metrology system for predicting CVD thickness with equipment variables and qualitative clustering
  132. A Predictive Maintenance System for Silicon Epitaxial Deposition
  133. Control of PDE–ODE cascades with Neumann interconnections