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@LSX-UniWue

Chair of Computer Science X - Data Science

Popular repositories

  1. Code for our ICMV 2022 paper "On Background Bias in Deep Metric Learning", where we show that DML models are prone to background bias with our proposed test setting. This can severely damage item r…

    Jupyter Notebook 2

  2. auswahl Public

    Collection of Feature Selection Methods for Near-Infrared Spectroscopy

    Python 1

  3. InDiReCT Public

    Code for our WACV 2023 paper "InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images". We propose a simple method that adapts the embedding space of images to a user-defined similarity…

    Jupyter Notebook 1

  4. Forked from SteiMi/denseweight

    The imbalanced regression method DenseWeight produces sample weights for data points in regression tasks so that there is a higher emphasis on ML model performance for rare (and often extreme) data…

    Python

  5. Forked from SteiMi/density-based-weighting-for-imbalanced-regression

    Code for the paper "Density-based weighting for imbalanced regression". Contains an implementation for our imbalanced regression method and the experiments found in the paper.

    Python

Repositories

  • InDiReCT Public

    Code for our WACV 2023 paper "InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images". We propose a simple method that adapts the embedding space of images to a user-defined similarity notion by only using text prompts. This way, no training images are used, making this method a "zero-shot" approach.

    Jupyter Notebook 1 0 0 0 Updated Dec 1, 2022
  • one-graph-to-rule-them-all Public

    Repository for our CHR 22 Paper "One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien’s Legendarium"

    Python 0 0 0 0 Updated Nov 1, 2022
  • DFS4NIRS Public

    Differentiable Feature Selection for Nearinfrared Spectroscopy

    Python 0 MIT 0 0 0 Updated Oct 26, 2022
  • SuSL4TS Public
    0 0 0 0 Updated Oct 21, 2022
  • background-bias-in-dml Public

    Code for our ICMV 2022 paper "On Background Bias in Deep Metric Learning", where we show that DML models are prone to background bias with our proposed test setting. This can severely damage item retrieval performance. Replacing backgrounds during training can alleviate those issues, which we analyze qualitatively and quantitatively.

    Jupyter Notebook 2 0 0 0 Updated Oct 17, 2022
  • auswahl Public

    Collection of Feature Selection Methods for Near-Infrared Spectroscopy

    Python 1 MIT 0 0 0 Updated Sep 30, 2022
  • 0 0 0 0 Updated Sep 26, 2022
  • Python 0 0 0 0 Updated Sep 23, 2022
  • explainable-ERP-fraud-detection Public

    This repository contains the code for the paper 'Towards Explainable Occupational Fraud Detection'. This work investigates the performance and interpretability of current machine learning models on data from enterprise resource planning systems.

    Jupyter Notebook 0 0 0 0 Updated Jul 25, 2022
  • dota-350k Public

    This project contains the links to the dota-350k dataset and the scripts to process the raw dataset before training models for sequential item recommendation.

    Python 0 Apache-2.0 1 0 0 Updated Jul 6, 2022

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