All Stories

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