All Stories

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