Model-Agnostic Interpretability of Machine Learning

• Sequential EXtreme Gradient Boosting-Based Descriptor Reduction for Size Prediction of Zwitterionic Polymer-Based Nanoparticles

  2025 ACS Omega article Materials Science Machine Learning in Materials Science Open access

  1

  citations
• Perspectives-Observer-Transparency – A Novel Paradigm for Modelling the Human in Human-To-Anything Interaction Based on a Structured Review of the Human Digital Twin

  2024 Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics conference-paper Computer Science Psychiatry, Mental Health, Neuroscience

  1

  citations
• (Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification

  2022 conference-paper Computer Science Text Readability and Simplification Open access

  4

  citations
• Exploring the potential for use of AI to help researchers improve their research funding relevance and performance

  2021 International Conference on Transdisciplinary AI (TransAI) conference-paper Decision Sciences Research, Science, and Academia

  0

  citations
• Is there a role for statistics in artificial intelligence?

  2021 Advances in Data Analysis and Classification article Mathematics Statistics Education and Methodologies Open access

  76

  citations
• Helping results assessment by adding explainable elements to the deep relevance matching model

  2021 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

  23

  citations
• Recalibrating classifiers for interpretable abusive content detection

  2020 conference-paper Computer Science Hate Speech and Cyberbullying Detection Open access

  9

  citations

7 results