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