Kernel principal component analysis

• TI-FPCA: Effective and Interpretable Dimensionality Reduction with Transform-Invariant Functional Principal Component Analysis

  2025 Communications in computer and information science conference-paper Mathematics Advanced Statistical Methods and Models

  2

  citations
• Machine learning-based identification of interpretable process-structure linkages in metal additive manufacturing

  2023 Additive manufacturing article Engineering Additive Manufacturing Materials and Processes

  40

  citations
• Classification-based process parameter recommendation in sheet metal forming

  2023 Journal of Industrial Information Integration article Engineering Metal Forming Simulation Techniques Open access

  5

  citations
• Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection

  2023 Computers in Industry article Computer Science Anomaly Detection Techniques and Applications Open access

  44

  citations
• A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion

  2022 Statistical Science article Mathematics Statistical Methods and Inference

  16

  citations
• Introduction

  2022 Springer eBooks book-chapter Computer Science Reinforcement Learning in Robotics

  0

  citations
• Model-free data-driven computational mechanics enhanced by tensor voting

  2020 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

  82

  citations
• word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data

  2020 ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS) conference-paper Computer Science Advanced Graph Neural Networks Open access cited by 2 patents

  179

  citations

8 results